Kindo × Deloitte - Sprint 1 Tracker

01 · Sprint Progress

Sprint 1 Progress.

Day 7 of 10 - June 29 → July 10, 2026

Sprint 1 Status

Eight items shipped. Two blockers open.

Day 7

of 10 (Mon Jul 7)

8

Items Delivered

Jul 10

Sprint End + Kush Design Session

Delivered this sprint:

SOC for AI Requirements Questionnaire - 5 sections, 19 questions, priority-tagged, Deloitte client language. Sent to Krishna Jul 1. Awaiting responses. Live at /questionnaire
Sprint Cadence Calendar (Jul-Oct) - 3-layer cadence (sprint/monthly/quarterly), external-ready. Live at /cadence
Deloitte LMS - Technical Track (T1-T4) - All 4 training videos deployed. Charlie (tech SME) reviewed all 4 - APPROVED, no critical issues.
Deloitte LMS - Practitioner Track (P1-P4) - P1/P3/P4 visual re-times deployed. P2 provenance issue identified and fix planned.
Next Button Gating - LMS module progression locked behind completion state. Shipped.
Internal sprint site - kindo-deloitte-internal.pages.dev live with full content for internal team use.
LMS domain consistency - Magic link domain mismatch resolved Jul 6. Email sender/auth URL/landing page now consistent.
SOC for AI scope locked - Deloitte replied to questionnaire Jul 7. Scope reframed from shadow AI discovery → Kindo platform agent governance. 5 objectives defined, capability gap analysis complete, 3-track delivery plan set.

In progress / blockers:

Audit Surface Map for Friday call - Deloitte reframed SOC for AI scope Jul 7 → Kindo platform agent governance (not shadow AI discovery). Need to map Kindo's current audit/telemetry capabilities against their 5 objectives before the Friday requirements call with Krishna's team.
AI Discovery Agent - scope under review - Original design targeted shadow AI discovery. With Deloitte's reframe to platform governance, the agent concept needs to pivot to Kindo-native monitoring (drift detection, policy change alerts, tenant boundary checks). Revisit after Friday call.

Upcoming

Key Dates

Date	Event	Details
Jul 10 (Fri)	Kush Design Session	90 min, virtual. Skills, memory, self-improving agents. Context-gathering + requirements for net new agent pipeline. Tony, Charlie, Kush + team.
Jul 10 (Fri)	Deloitte Training Cohort 2	Second training cohort launch. LMS technical review ✅ complete (Charlie approved). Domain consistency fix in progress.
Jul 10 (Fri)	Sprint 1 End	Sprint Review + Retro. Show-don't-tell evidence for all completed items.
Jul 13 (Mon)	Sprint 2 Planning	Engineering team returns (Madison early Jul, Sean week of Jul 7). Code work unblocked.
Jul 27	Monthly Portfolio - Houston	Ron in Houston. Video evidence + working links for Ron/Forge Point.

Context: June 24 strategy session + June 26 working session confirmed 2-week scrum cadence starting June 29. Tony steps back to biweekly sprint planning (product owner cadence). SOC for AI is the new #1 strategic priority per Kush. Agents A.6 and A.10 deprioritized.

02 · Cadence

Cadence & Ceremonies.

Three-layer cadence: 2-week sprints, monthly portfolio, quarterly deep dives

Three Layers

Sprint. Portfolio. Deep dive.

01 · Sprint

2-Week Cycle

Execution cadence. Ship code, build agents, deliver results.

Planning	Monday (every 2 weeks)
Standups	Mon/Wed/Fri (team only)
Review + Retro	Friday (every 2 weeks)
Tony attends	Planning + Review only

02 · Portfolio

Monthly Review

Show results to executives. Video evidence + working links.

First meeting	~Late July (Jul 27)
Attendees	Tony, Charlie + Ron
Format	Show, don't tell (see below)
Note	Same city as quarterly deep dive to avoid over-travel

03 · Deep Dive

Quarterly Sessions

In-person design sessions. Strategic alignment + release planning.

Duration	~5-7 days
Q3 location	Houston, TX (aligned with July monthly portfolio - Ron anchor event Jul 27)
With	Team + Ron + key engineers
Output	Quarter release plan

Artifacts

Scrum Artifacts - Warren Delivers

Tony expects Warren to programmatically deliver real-time sprint artifacts. No asking for status - artifacts should be self-service.

Artifact	Cadence	Description	Status
Sprint Backlog	Updated daily	Items committed for current sprint, status, blockers	Sprint 1
Burndown	Real-time	Story points or items remaining vs time	Sprint 1
Sprint Review Deck	End of sprint	Video evidence + working links of shipped work	Sprint 1
Definition of Ready	Standing	Criteria for items entering sprint (see below)	Defined
Definition of Done	Standing	Criteria for items being complete (see below)	Defined

Principle

"Show Don't Tell" - What Tony Means

We're moving at 5× traditional speed. Words can't keep up. Ron didn't understand net new revenue agents until the third time Tony explained it - and Ron is the sharpest person in the room. If Ron needs three reps to absorb a verbal summary, everyone else needs more.

The old way (what we stop doing):

Verbal status updates: "A.5 is code complete, waiting on merge"
Slides with bullet points about progress
Written summaries explaining what happened
"Technical done" without "business done" evidence

The new way (what every portfolio item needs):

Video walkthrough - screen recording of the feature working in production (30-90 sec)
Live URL - clickable link where the stakeholder can see it themselves, right now
Before/after screenshots - visual proof of what changed
Metrics - measurable impact (e.g., "21min per alert → 5min")

Tony's original architecture: Akira AI PMO confirms requirements via video → team builds → confirms results via video. Both ends are visual. If you can't show it working on screen, it's not done enough to present. This applies to everyone - Krishna, Kush, Ron, Forge Point.

Rotation

Proposed Location Rotation (Monthly Portfolio)

Month	Location	Notes
July	Houston	Ron in Houston Jul 27 - anchor event
August	San Francisco	Krishna's base
September	Austin	Tony's base
October	Los Angeles	Charlie's base

Deep dives aligned with monthly portfolio locations to avoid over-travel (Q3 → Houston, Q4 → Los Angeles).

03 · Team

Team & Hiring.

Current team, role evolution, and Value First hiring plan

Current Roster

Six roles. One mission.

Name

Tony

Current Role

Strategic leadership

Evolving To

Product Owner (biweekly)

Sprint Role

Sprint planning + review only

Name

Joana

Current Role

Program delivery

Evolving To

Net new revenue agent design

Sprint Role

Scrum lead + agent designer

Name

Victor

Current Role

Technical delivery

Evolving To

Net new revenue agent design

Sprint Role

Technical lead + agent designer

Name

Charlie

Current Role

Chief Architect / Agent Runtime

Evolving To

Platform + architecture decisions

Sprint Role

Technical advisor

Name

Warren

Current Role

Engineering & Ops AI

Evolving To

Autonomous Delivery Partner

Sprint Role

Delivery method engine, scrum artifacts

Name

Dukane

Current Role

Delivery support

Evolving To

QA manager (#warren-review)

Sprint Role

Output quality review

Role Shift: Joana & Victor moving from program delivery (100 installs, training) → net new revenue agent design. Hires will backfill the program delivery gap.

Hiring

Hiring Plan - Value First / Omberto

Role	Count	Region	Focus	Status
AI PMO / Soft Skills	1-2	LatAm (preferred)	Requirements gathering, stakeholder mgmt, verification	Interviewing
Engineer	1-2	Eastern Europe or LatAm	MLflow, Kindo agent configuration, integrations	Planning

Process: Invoice → Charlie → Ron. Charlie vets technical candidates. LatAm for soft-skills (live meetings), Eastern Europe for code (Charlie's preference).

Availability

Engineering Availability

June Blocker: Agent Runtime team (Madison, Sean) on extended PTO through end of June. Core Kindo engineering (Brian Van's team) out for 3 weeks. Expected to normalize in July.

Team	Status	Expected Back	Impact
Agent Runtime (Madison)	PTO	Early July	2.5 weeks PTO - multi-agent, agent features blocked
Agent Runtime (Sean)	PTO	Week of Jul 7	Working ~2 days/week past 2 weeks + off next week
Core Kindo (Brian Van)	PTO	Mid-July	Core platform changes blocked
Charlie (Agent Runtime lead)	Active	-	Shipped memory prototype solo

Sprint 1 implication: Focus on soft-skills deliverables (requirements, agent design, research) that don't need Kindo eng. Engineering-dependent items slot into Sprint 2+ when team is back.

04 · Portfolio

Portfolio Status.

Agent portfolio with June 24 priority shift - SOC for AI is the new #1

Priority Shift

SOC for AI is now #1.

Priority Shift (Kush, June 22): SOC for AI takes top priority. A.6 (Vitals Dashboard) and A.10 (IoT/OT Monitor) deprioritized. We must produce results faster - A.6 took 6 weeks to align, same pattern as Generative UI. If we don't capture, Deloitte builds it themselves.

Status Map

Agent Status Map

ID	Agent	Status	Revenue Class	Blocker
A.1	Threat Monitoring	PROD	Contracted	-
A.2	Threat Intel	PROD	Contracted	-
A.3	Threat Hunt	PROD	Contracted	-
A.4	Detection Engineering	PROD	Contracted	-
A.5	CTEM	BUILT	Contracted	Deployment pending
A.6	Vitals Dashboard	DEPRIORITIZED	Alliance	Kush shifted to SOC for AI
A.7	Quality Audit Agent	REQS	Alliance	Design sprint needed
A.8	Cloud Security Agent	PLANNED	Alliance	-
A.9	IR Agent	PLANNED	Alliance	-
A.10	IoT/OT Monitor	DEPRIORITIZED	Alliance	Kush shifted to SOC for AI
A.11	Custom Client Agents	REQS	Alliance	Shadow & document method
A.12	Identity Agent → IdaaS	PLANNED	Alliance	Tim Corder engagement
A.13	GRC Agent → GRC aaS	PLANNED	Alliance	Nathan Ellis engagement
NEW	SOC for AI	#1 Priority	Alliance	Research + integration mapping

SOC for AI

Two-Layer Scope

"Shadow IT for AI" - discover which AI tools, agents, LLMs, copilots, MCP servers run across endpoints, SaaS, cloud; then govern, policy-enforce, remediate. Now #1 priority (Kush deprioritized A6 + A10). Distinct from A.1 (Threat Monitoring) - A.1 is Deloitte's existing SOC agent; SOC for AI coexists with / complements it.

Layer A - Shadow AI Discovery

Which AI, by whom, how much, what risk. Via CASB/SSE + IdP + DLP + SIEM the client already owns.

Layer B - Endpoint / EDR Telemetry

Orchestrate EDR/SIEM agents already on the machine (CrowdStrike-style). No new agent installs - Deloitte was explicit.

Mechanism: API-level orchestration of existing monitoring agents; build domain-specialized agents inside Kindo. No core architecture change. ~80% soft-skills / ~20% engineering.

Validated Market Timing:

CrowdStrike Shadow AI Discovery for Endpoint - RSAC 2026, GA, 1,800+ AI apps detected
Microsoft Agent 365 - GA May 2026 (Defender+Intune); context mapping + runtime blocking in public preview June 2026

Integrations

Integration Landscape

Source: SOC for AI - Scope & Research doc (Jun 25). Tenant-safe = research-grade, needs Charlie's sign-off. Registry status needs Victor/Charlie confirmation (Q1).

Already in Kindo - can start immediately (confirm registry):

Platform	SOC-for-AI Capability	In Kindo?	Tenant-safe?
CrowdStrike Falcon	Shadow AI Discovery - AI apps, agents, LLM runtimes, MCP servers	Confirmed	Per-tenant (see Q2)
Splunk / Datadog	SIEM + observability for AI activity	Confirmed	Yes
Grafana / Sumo Logic / Google SecOps	Dashboarding, log analytics, security ops	Confirmed	Yes

Microsoft Stack - covered via Microsoft MCP:

Platform	Capability	Tenant	Priority
MS Defender for Endpoint	Shadow-AI discovery (Agent 365 - GA May, preview Jun 2026)	Azure-native	Via MCP
MS Intune	AI agent policy enforcement on devices	Azure-native	Via MCP
MS Purview	DLP / data classification for AI	Azure-native	Via MCP
Nightfall / Netskope / Cyberhaven / Okta	GenAI DLP, CASB, data lineage, OAuth-consent discovery	Validate	P3

Tenant Survival Filter (Tony's note #1): Every integration must pass: (1) tenant-scoped? (2) data stays in tenant, no egress? (3) SOC 2 Type II / BAA / DLP compatible? Cross-tenant/egress = disqualified.

Safest bet: Microsoft stack (Defender+Intune+Purview) - Deloitte is a Microsoft shop, runs inside their Azure/M365 tenant. Charlie's 4-6 net-new estimate looks right.

Gates Layer B (Charlie's call): CrowdStrike Falcon runs a cloud-side control plane. Even if it's in registry, does the orchestration genuinely stay "Deloitte only"? Can't resolve on paper - open question.

Revenue

Revenue Classification

$5.5M

Contracted (A.1-A.5)

$1-2M+

Alliance Net New (A.6-A.13)

$5-12M+

Upside (2-3× Expansion)

05 · Deep Dives

Deep Dive Design Sessions.

Quarterly in-person sessions - strategic alignment + release planning with Deloitte

Quarterly Rhythm

In-person. Strategic. Immersive.

Origin: Tony proposed quarterly deep dives 6 months ago - modeled after what he and Ron did independently in December (7 days of uninterrupted deep thinking). Deloitte "wholeheartedly agreed" at the June 22 meeting.

Topics

Deep Dive Topics (from Deloitte meeting)

These items were categorized under "design sessions" in Tony's meeting notes. More than half of what Deloitte raised maps to these sessions.

#	Topic	Description	Owner
1	Net New Revenue Agents	Design + deploy agents that generate alliance revenue (Tier 2/3 packages)	Tony / Joana
2	Threat Remediation	Extend A.1-A.5 into automated remediation workflows	Charlie / Victor
3	Deloitte Roadmap (Azure/GCP)	Cloud platform alignment and multi-cloud strategy	Charlie
4	Institutional Knowledge / Memory	Skills, memory, compound learning flywheel. Don't equip Deloitte to build what we want to build (Charlie)	Charlie
5	AI Cyber Guard / Tower	Control plane co-development	Charlie
6	Lifecycle Hooks	Generic lifecycle hooks - Kush says yes but NOT most important. Ship fast MVP, don't over-engineer. Deployment speed > stickiness features.	Charlie
7	Workflow Acceleration	Accelerate deployment cycle (time-to-value for new Kindo customers)	Victor / Joana
8	SOC for AI	Shadow IT discovery, AI governance, integration mapping	Joana / Victor

Calendar

Proposed Deep Dive Calendar

Kush Design Session - Friday, July 10 (Confirmed)

90 min, virtual. Skills, memory, self-improving agents. Context-gathering + requirements for net new agent pipeline. Tony, Charlie, Kush + team. Aligned with Sprint 1 end date.

Q3 2026 - First In-Person Deep Dive

Houston, TX - aligned with July monthly portfolio (Ron in Houston Jul 27). 5-7 day in-person session. Team + Ron + key engineers. Output: Q3 release plan, SOC for AI architecture, net new revenue agent designs.

Q4 2026 - Second Deep Dive

Los Angeles, CA - aligned with October monthly portfolio (Charlie's base). Review Q3 results, plan Q4 releases, expand to service lines beyond D&RaaS (Identity aaS, GRC aaS).

06 · Sprint 1

Sprint 1 - June 29 → July 10.

Day 7/10. Eight items delivered. SOC for AI scope reframed to Kindo platform governance. Kush Design Session + Cohort 2 launch both on Jul 10. AI Discovery Agent build remains open.

Sprint Goal

Audit Surface Map. Detection Rules. Friday call.

Sprint Goal

Deliver Audit Surface Map → Define Detection Rules → Prepare for Friday Requirements Call

Scope reframed Jul 7: Deloitte doesn't need shadow AI discovery (their detection engineering team handles that). They want Kindo platform agent governance with 5 new objectives. Sprint focus: build capability matrix mapping Kindo audit/telemetry against Deloitte's 5 governance objectives, define detection rules, and prep for Friday requirements call with Krishna's team.

Backlog

Proposed Sprint 1 Backlog

Item	Type	Owner	Effort	Dependencies / Risks
SOC for AI - Audit Surface Map Map Kindo's current audit logs, telemetry, RBAC, DLP, MCP policies against Deloitte's 5 governance objectives. Deliver before Friday requirements call.	P0	Warren + Victor	1d	In Progress Capability assessment underway. Packaging into deliverable artifact for Friday call.
SOC for AI - Requirements Questionnaire → Krishna Generate SOC for AI questionnaire (same format as A.6). Send to Krishna who routes to right person. Answers refine which monitoring tools Deloitte's clients actually use - improves agent design accuracy.	P0	Tony + Joana + Warren	0.5d	Done + Sent Deployed Jun 29. Sent to Krishna Jul 1. Superseded by Deloitte's Jul 7 reply - scope reframed from shadow AI discovery to Kindo platform governance. Questionnaire responses no longer blocking.
SOC for AI - Detection Rule Library Define detection rules mapping each of Deloitte's 5 objectives to specific Kindo audit events and API endpoints. Package for Krishna's team to implement in their SIEM.	P1	Warren + Victor	2d	Depends on Friday call Detection rules to be refined after Friday requirements call with Krishna's team.

Sprint 1 Meta-Risk: The entire sprint is optimized for soft-skills work because eng is on PTO. That's smart - we're shooting where we're unblocked. But if eng comes back mid-sprint and unblocks code work, do NOT mid-sprint pivot. Finish what we committed to. New engineering items go into Sprint 2 backlog.

Delivery Method Alignment: Every Sprint 1 item must map to the Deterministic Outcome Package - (1) Named Owner, (2) Transcript/Intake Artifact, (3) Standing Rules, (4) Cron-Sustained Refresh, (5) Recipient's Narrative. Evidence Base 85% pattern applies: named human owner + same-day delivery + output in recipient's language.

Exit Criteria

Sprint 1 Exit Criteria

Show-don't-tell: every criterion needs evidence, not a status update.

Audit Surface Map delivered before Friday call → deliverable: capability matrix (5 objectives × Kindo audit surface)
Detection rule templates drafted → deliverable: rule definitions + API endpoint mappings
Friday requirements call completed with Krishna's team → deliverable: refined scope + Sprint 2 plan
Warren delivering sprint status automatically → deliverable: live sprint dashboard URL

Out of Scope

Sprint 1 - NOT In Scope

Code shipping to Kindo platform (eng on PTO) - Sprint 2 when team returns
Core platform changes (Brian's team required) - blocked, not our call
A.6 Vitals Dashboard (deprioritized by Kush) - parked
Scaling Story for Ron (important but not SOC for AI) - separate workstream, not sprint backlog
A.7 Quality Audit design sprint (depends on Krishna scheduling) - backlog, not Sprint 1
Hiring decisions (interviews in progress) - parallel track

Definition of Ready

DoR - Entry Criteria

An item can enter the sprint when ALL of these are true:

#	Criteria	Why
1	Clear outcome defined - what does "done" look like in business terms, not technical terms?	Victor's point: business value, not technical value
2	Owner assigned - single person accountable	No orphan items
3	Dependencies identified - blocked/unblocked explicitly tagged	Victor's framework: shoot where we're unblocked
4	Effort estimated - days, not points. Be honest.	Tony needs to know what to expect without asking
5	Classified soft-skill vs code - which work type? Determines who can execute.	~80% soft-skills moves without Brian's team
6	Passes tenant filter (if integration) - tenant-scoped? data stays in tenant? SOC 2 II / BAA / DLP?	Tony's note #1: "Deloitte only"
7	Fits the sprint - total committed work ≤ team capacity	Don't overcommit then under-deliver
8	Acceptance criteria written - how will we verify it's done?	"Show don't tell" starts here

Definition of Done

DoD - Completion Criteria

An item is done when ALL of these are true:

#	Criteria	Evidence Required
1	Acceptance criteria met - every criterion checked off with proof	Screenshots, video, or live URL
2	Business done, not just technical done - stakeholder can see and use it	Working link or deployed artifact
3	Evidence attached - "show don't tell" proof in the same message as the completion claim	Video walkthrough, screen recording, API response
4	Integrations pass tenant + compliance check	Tenant filter results documented
5	No open blockers or regressions	Verification report
6	Reviewed - at least one other team member has seen the output	Reviewer name + feedback
7	Documented so Warren can report status	Warren updates programmatically
8	Owner confirmed done	Explicit sign-off

Hard rule: "Code complete" ≠ done. "Waiting on merge" ≠ done. "I verified" without the actual evidence ≠ done. If you can't show it on screen, it's not done.

07 · Product Backlog

Product Backlog.

Items that produce a built artifact (agent, integration, code in Kindo) - ranked by strategic priority

Ranked by Impact

SOC for AI first. Then net new revenue.

Prioritization framework: SOC for AI is #1 (Kush mandate). Then net new revenue agents (alliance revenue). Then contracted platform work. Unblocked items before blocked items (self-unblocking bias).

P0 - Must Do Now 2 items

SOC for AI — Audit Surface Map

Map Kindo audit/telemetry capabilities against Deloitte's 5 governance objectives. Capability assessment complete (Odin input received). Need to package into deliverable artifact for Friday call.

Governance Mapping In Progress

Scope reframed Jul 7. Deloitte confirmed shadow AI discovery handled by their detection engineering team. Focus now on Kindo platform agent governance with 5 objectives.

SOC for AI — Detection Rule Library

Define detection rules for each governance objective. Maps to specific Kindo API endpoints and audit events. Target: Sprint 1-2 deliverable for Krishna's SIEM team.

Detection Rules API Mapping Depends on Friday call

Detection rules to be refined after Friday requirements call with Krishna's team. Initial mapping based on Deloitte's 5 governance objectives.

P1 - High Priority 5 items

CrowdStrike Shadow AI Discovery - API Scope Validation

Validate Kindo's existing CrowdStrike integration (OAuth2_CC) covers the Shadow AI Discovery endpoints announced at RSAC 2026 (1,800+ AI apps detection).

Technical Charlie Deprioritized / Superseded

Superseded Jul 7: Deloitte confirmed shadow AI discovery is handled by their detection engineering team, not our scope. CrowdStrike API validation no longer blocking.

A.7 Quality Audit Agent - Design Sprint

Option 1: High-bandwidth meeting with Krishna's team (~3hrs). Design the 5-agent Quality Audit package (Alert Scorer, Human Baseline Validator, Efficiency Tracker, Pool Optimizer, Audit Dashboard).

Agent Design Joana Blocked: Krishna scheduling

A.11 Custom Client Agents - Shadow & Document

Option 2: Warren ingests SOPs + ride-along with analysts. Capture institutional knowledge for custom agent patterns. Start with HP deployment patterns.

IK Capture Victor Depends: analyst access

A.5 CTEM - Production Deployment

CTEM is built, needs deployment. Blocked on Kindo eng availability but should be first code ship when team returns.

Deployment Blocked: Eng PTO

Show-Don't-Tell - Video Evidence Pipeline

Establish process for capturing video evidence of working functionality. Every P0/P1 should have video proof + working URL. Tony: "We're moving too fast for words."

Delivery Mechanism Warren + Victor Unblocked

P2 - Medium Priority 3 items

MS Defender for Endpoint Integration (SOC for AI)

New integration needed. Shadow AI discovery via "Agent 365" (May 2026). Critical for enterprise customers. Tenant-scoped.

Integration Engineering Blocked: Eng PTO

A.8 Cloud Security Agent - Requirements

Kush's Deloitte roadmap includes Azure/GCP alignment. Design cloud security agent leveraging cloud-native tools.

Agent Design Depends: Deep Dive

A.9 IR Agent - Requirements

Incident Response automation agent. Extends threat monitoring (A.1) into response workflows.

Agent Design Depends: Deep Dive

P3 - Future / Deep Dive Topics 7 items

MS Purview Integration (SOC for AI - DLP)

Data loss prevention + data classification for AI usage. No Kindo integration today.

IntegrationP3

A.12 Identity Agent → IdaaS (Tim Corder)

Service line expansion into Identity aaS. Requires engagement with Tim Corder + Ravi.

Service Line ExpansionPhase 4

A.13 GRC Agent → GRC aaS (Nathan Ellis)

Service line expansion into GRC aaS. Requires engagement with Nathan Ellis.

Service Line ExpansionPhase 4

Lifecycle Hooks MVP

Kush: short answer is yes, but NOT most important. Ship fast MVP - don't over-engineer. Focus: deployment speed, not stickiness.

PlatformKush deprioritized

IK / Memory Design Session (Kush request)

Kush asked for a session on institutional knowledge, skills, memory. Charlie: protect IP - share "what" not "how."

Deep DiveIP sensitivity

AI Cyber Guard / Tower - Control Plane

Control plane co-development with Deloitte. Design session topic.

Deep DiveCharlie

SaaS Discovery Integrations (Nightfall, Netskope, Okta)

CASB/SaaS-level AI discovery tools. No Kindo integrations today. Lower priority than endpoint-level discovery.

IntegrationP3

Parked 2 items

A.6 Vitals Dashboard

Deprioritized by Kush (June 22). SOC for AI takes its slot. May resurface in future sprints.

Deprioritized

A.10 IoT/OT Monitor

Deprioritized by Kush (June 22).

Deprioritized

Program Track

Program / Strategic Track.

Parallel track - program management work that needs an owner and date but doesn't produce a product artifact. Not sprint-rankable. Joana's track.

Why this is separate: These items are essential program work - investor narratives, portfolio prep, hiring, travel planning - but they don't produce a built artifact in Kindo. They run on their own timelines with their own owners, parallel to the sprint. Mixing them into P0-P3 product lanes creates false prioritization conflicts.

Item	Owner	Target Date	Notes
Deloitte Training Cohort 2 Launch	Joana	Jul 10	Second cohort goes live. LMS pending Charlie's technical review.
Scaling Story for Ron / Forge Point	Tony + Joana	During Sprint 1	Capture while Tony is present - he goes biweekly after. 3-5× revenue growth narrative for Forge Point VC.
Monthly Portfolio Prep (July)	Joana	Ahead of Jul 27 Houston	Video evidence + working links for shipped functionality.
Value First Hiring	Joana / Victor	Ongoing	Interviews in progress. Invoice → Charlie → Ron.
Deep Dive Prep / Calendar + Budget	Tony / Joana	TBD	Done - deep dives aligned to monthly portfolio cities (Houston Q3, LA Q4).
Warren Scrum Artifacts Setup	Joana + Warren + Victor	Sprint 1	Configure Warren for sprint backlog, burndown, status delivery. Verify accuracy before Tony relies on it.

08 · Decisions

Open Decisions & Needs-Human.

Items requiring team input - updated July 7

Attention Required

Scope reframed. New deliverables defined.

SOC for AI

Scope Reframed — Deloitte's 5 Governance Objectives (Jul 7)

Deloitte replied Jul 7 and completely reframed the SOC for AI scope. They don't need shadow AI discovery (their detection engineering team handles that). They want Kindo platform agent governance with 5 new objectives. Friday call with Krishna's team to walk through requirements in detail. Audit Surface Map is the prep artifact.

01

Detect unauthorized agent deployments Covered RBAC + deploy audit logs exist in Kindo. Agents cannot be deployed without appropriate role permissions, and all deployment events are logged.

02

Detect new tool/integration connections Covered MCP registry + integration audit logs capture all new tool and integration connection events. Full visibility into what's connected and when.

03

Detect agent action drift vs SOPs Gap No behavioral baseline engine exists. This is the biggest engineering need. Requires defining expected behavior profiles and detecting deviations from standard operating procedures.

04

Detect guardrail/MCP policy changes Partial Policy configs are logged, but need change-detection alerting. The audit trail exists — what's missing is real-time notification when guardrails or MCP policies are modified.

05

Detect cross-tenant data contamination Partial Prevention controls exist (tenant-scoped memory, data isolation). Detection gap: no active monitoring for data leakage between tenant boundaries.

Other Items

Other Open Items

-

Sprint 1 scope - confirm or adjust proposed items Do the SOC for AI items match what we can realistically ship in 2 weeks with eng on PTO? Each item should map to the Delivery Method's 5-component Outcome Package (named owner, transcript, standing rules, cron refresh, recipient narrative). Apply Evidence Base 85% pattern.

-

SOC for AI questionnaire → Krishna Sent Questionnaire sent to Krishna (Jul 1). 5 sections, 19 questions. Awaiting responses. Answers refine AI Discovery Agent integration priorities. Live at /questionnaire.

-

Value First hiring - interview status Joana met with Omberto's team. Results feed into team planning but don't block Sprint 1. 1-2 AI PMO / soft-skills roles + 1-2 engineers (LatAm preferred for soft-skills, Eastern Europe for code).

-

Agent runtime team return date - confirm July availability Madison back early July, Sean week of Jul 7. Track for Sprint 2 planning.

09 · Evidence Base

Evidence Base.

110 days of empirical data (Mar 9 - Jun 26, 2026) - what worked, what failed, what was killed

110 Days of Data

What works. What fails. What was killed.

Why this matters for Sprint 1: This sprint is the first cycle born after the March→May→June learning curve (Additive → Peak Complexity → Subtraction). Every item should operate on the validated methods, carrying none of the killed ones. Full audit: warren-evolution-audit.pages.dev

85%

Kindo Dashboards (best)

40%

Pipeline Execution (worst)

7

Systems Killed (Jun 17)

Grades

Initiative Grades - Measured, Not Claimed

Initiative	Grade	Key Evidence
Kindo × Deloitte Dashboards	85%	2 production dashboards, daily cron, 240 deploys. Owner (Joana) + same-day loop + cron refresh
Strategic Dashboards	80%	Same-day delivery pattern. Revenue Map for Ron dinner = built same day Tony directed
Kindo LMS	75%	T1-T4 deployed (T1/T2 Joana-confirmed). P1/P3/P4 visual re-times done. Next-button gating shipped. P2 provenance fix + T3 seam fix pending. Cohort 2 target: Jul 10.
Tony CoS Dashboard	55%	136 deploys, CI/CD working. But: DM capture unverified, Phase 2 never started
Autonomous Pipeline	40%	Architecture complete (43 routes). But: 0 agents dispatched for 42+ days. Pipeline became meta-work

What Works

The 85% Pattern

Named human owner driving the loop (Joana, Tony)
Same-day delivery - directive → artifact in hours, not days
Output in recipient's language, not internal jargon
Cron-sustained refresh - keeps it alive after delivery
Synchronous sessions > async (4h live = weeks of async)

What Fails

The 40% Pattern

Autonomous pipeline without human driving = meta-work
AI judging AI = shared fault amplification (40-48% pass rate)
Process docs as probabilistic input = unreliable
Complexity accumulation without outcome measurement
Demo site proliferation - 8+ sites, most never viewed

Timeline

The Arc - March → May → June

March-April: Build

Pipeline architecture, 67 routes, Sprint 0, first dashboards. Every problem solved by adding.

May: Peak Complexity

6 new Pages in 3 weeks. 5 AI eval crons. 4 daily dossiers. Maximum complexity = diminishing returns.

June: Subtract

7 systems killed. 0% dossier engagement. Silence First. Human-only review. Higher signal than anything added.

Market Signal

Capability Resonance - What Customers Actually React To

#	Capability	Who Reacted	When
1	Thinking model / decision OS	Igor: "Jarvis not Siri"	May 15
2	Knowledge extraction	Steve Ward: "floored"	May 25
3	AIPMO / autonomous PM	Valent: SOW signed ($5K)	Apr-Jun
4	Dependency mapping	NFL corpus proof point	Apr
5	Sprint planning / estimation	Hector: "that's money"	Jun

Guard Rail for Sprint 1: If the number of systems, crons, or processes starts climbing without outcome improvement, subtract before adding. The March→May arc proved complexity accumulation is the default - it has to be actively resisted. Max 1-5 individual changes at a time (Tony, Jun 19).

10 · Delivery Method

Delivery Method.

Warren = Autonomous Delivery Partner - the product is the method, Warren is the engine

The Product

The method is the product. Warren is the engine.

Key insight (Tony + Victor, Jun 26): "The product isn't Warren. The product is this delivery method - with Warren as the engine that makes it run at the speed and quality level that a human team can't match." Warren transforms non-technical creative direction into shipped products. Not autonomous SDLC - Autonomous Delivery Partner.

Framework

Deterministic Outcome Package - 5 Components

Every load-bearing milestone (85% of outcomes) used these 5 components. Each Sprint 1 item should map to this template.

01

Named Owner

A human driving the loop

A human on the customer side driving the loop (the "Tony" equivalent). Sprint 1 check: Who is the owner for each item?

02

Intake Artifact

Customer's own words

Customer's own words, not our interpretation. Sprint 1 check: Do we have source material in their language?

03

Standing Rules

Deterministic, written

Deterministic rules, written - never probabilistic process docs. Sprint 1 check: Are the rules codified or still in people's heads?

04

Cron Refresh

Keep it alive after delivery

Keeps the output alive after initial delivery. Sprint 1 check: Will this need automated updates or is it one-shot?

05

Narrative

Recipient's framework

Output framed in the customer's framework, not VtKl's internal language. Sprint 1 check: Are we using Krishna's/Kush's words or ours?

Operating Pair

The Operating Pair - Appears in 5/8 Load-Bearing Milestones

01 - Owner + Same-Day Loop

The mechanism. Without a named owner driving the loop, nothing ships. Present in: Kindo dashboards, CDO thesis, Execution Plan + Revenue Map, Strategic Portfolio Design, Great Subtraction.

11 - Narrative (Recipient's Framework)

The communication layer. Without narrative framing, output ships but doesn't land. Ron needed visual revenue framing. Igor needed "Jarvis" framing. Krishna needed triage language.

Validation

Validated at Three Altitudes

E

Executive

Revenue Map for Ron dinner (May 21-23). Visual, revenue-framed.

S

Strategic

Sprint plan + GANTT + questionnaire (Jun 8-9). Full planning cycle in one thread.

O

Operational

Daily dashboard refresh via cron. 240 deploys. Deloitte logs in daily.

Evolution

Role Evolution - Self-Organized, Not Designed

Each person migrated UP in altitude over 110 days. Sprint 1 should respect these altitudes.

Person	Started As	Evolved To	Sprint 1 Altitude
Tony	Operator (every function)	Teacher → Subtractor	Strategic direction only. Biweekly.
Victor	Ops Support	Chief Operating Intelligence	Tactical execution + Warren calibration
Joana	Program Delivery	Delivery Authority	Scrum lead + agent design
Charlie	Builder	Platform Architect	Architecture decisions only
Warren	Engineering Tool	Autonomous Delivery Partner	Execution engine - absorbs operations

Strategic Warning

IP Protection (Charlie, Jun 24)

"I don't want to do design partnership work where we equip them to build stuff that we want to build." Deloitte can execute faster than T&C on skills/memory if they know the HOW. Share the WHAT, never the HOW. This applies to all IK/memory sessions with Kush.

Pre-Work

Requirements Questionnaires - Sprint 1 Pre-Work

Tony (Jun 26): needs questionnaires for SOC for AI, A.7, A.11 - same format as A.6. Forward to Krishna who identifies who answers (resolves Adelina maternity leave gap without guessing org structure).

Agent	Method	Adelina Coverage	Status
SOC for AI	Questionnaire (framed as Kush's priority)	Krishna routes to right person	Sent to Krishna Jul 1
A.7 Quality Audit	Design Sprint questionnaire (~3hr session)	Krishna routes to QA lead	Sprint 2+ Prep
A.11 Custom Agents	Shadow & Document (SOPs + ride-along)	Shiva/Harish (client delivery)	Sprint 2+ Prep

Blue Ocean (Victor, Jun 26): Agile, Scrum, SAFe - all made for humans, not AI. What T&C is building is the AI agility cycle. Greenfield. Nobody is talking about this yet. Tony isn't just talking - he has implemented and proved the value. The quarterly deep dives = "AI Big Room Planning" - release planning with AI in the room collapsing strategy-to-artifact gap to zero.

Daily Progress Log

Channel activity and progress updates - most recent first

📅 July 7, 2026 (Monday)

SOC for AI scope reframe (MAJOR): Deloitte replied to our questionnaire - they don't need shadow AI discovery (their detection engineering team handles that). Instead they want Kindo platform governance: monitoring known AI agents on Kindo. 5 new objectives defined: (1) detect unauthorized agent deployments, (2) detect new tool/integration connections, (3) detect drift in agent actions vs SOPs, (4) detect guardrail/MCP policy changes, (5) detect cross-tenant data contamination.
Kindo capability assessment completed: Mapped existing Kindo audit/telemetry/RBAC/DLP capabilities against all 5 objectives. Result: ~60% covered out of the box. Gaps: drift detection (objective 3), policy-change alerting (objective 4), tenant-boundary monitoring (objective 5). Linear tickets identified (ENG-8737, ENG-10042, ENG-8539, ENG-8654, ENG-8453).
3-track delivery plan defined: Track 1: Audit Surface Map (before Friday call) - capability matrix. Track 2: SOC Detection Rules/Use Cases (Sprint 1-2) - detection rule templates for Krishna's SIEM. Track 3: Drift Detection + Tenant Monitoring (Sprint 2-3) - engineering builds.
IK Approach page built: New page at /ik-approach for Institutional Knowledge positioning
Internal site 451 fix: Cloudflare blocked /cadence/ path (brand impersonation detection on .pages.dev). Moved content to /meeting-cadence/, updated all links and redirects.

📅 July 3, 2026 (Thursday)

🔵 #deloitte-agents-design

Dashboard daily auto-refresh process set up - runs at 8 AM PT, pulls from 3 Slack channels
Full editorial restyle applied to all dashboard sections (dark statement bands, feature rows, editorial typography)

🟢 #client-kindo-deloitte

Charlie (tech SME) reviewed all 4 Technical-track LMS videos - APPROVED, no critical issues
Magic link UX feedback: domain mismatch across email sender, Supabase auth URL, and landing page
Victor initiated plan to fix domain consistency - exploring new domain or Kindo subdomain delegation
Victor assigned to implement Charlie's LMS feedback items

🟡 #client-kindo-training

No new activity

📅 July 2, 2026 (Wednesday)

Dashboard updated with sprint progress since Monday (Jun 29)
Questionnaire → Krishna marked as ✅ SENT (Jul 1), awaiting responses
LMS blockers removed - now pending Charlie's technical review only
Victor asked about building the SOC for AI Discovery Agent - Warren confirmed design + code skeleton ready
First cut of SOC for AI Discovery Agent files delivered: SOP, Skill file, Step config in agents/soc-for-ai-discovery/
Internal repo/domain (kindo-deloitte-internal) fully operational - all nav links fixed

📅 July 1, 2026 (Tuesday)

Victor requested internal/Deloitte deployment separation after link was accidentally shared externally
Internal repo t-and-c/kindo-deloitte-internal created, deployed to kindo-deloitte-internal.pages.dev
Allowlist isolation model implemented: Deloitte-facing repo contains ONLY explicitly named files
Root page set to sprint planning (Victor's request)
SOC for AI questionnaire sent to Krishna

Sprint 1 Tracker.

Sprint 1 Progress.

Eight items shipped. Two blockers open.

Cadence & Ceremonies.

Sprint. Portfolio. Deep dive.

Team & Hiring.

Six roles. One mission.

Portfolio Status.

SOC for AI is now #1.

Deep Dive Design Sessions.

In-person. Strategic. Immersive.

Kush Design Session - Friday, July 10 (Confirmed)

Q3 2026 - First In-Person Deep Dive

Q4 2026 - Second Deep Dive

Sprint 1 - June 29 → July 10.

Audit Surface Map. Detection Rules. Friday call.

Product Backlog.

SOC for AI first. Then net new revenue.

Program / Strategic Track.

Open Decisions & Needs-Human.

Scope reframed. New deliverables defined.

Evidence Base.

What works. What fails. What was killed.

Delivery Method.

The method is the product. Warren is the engine.

A human driving the loop

Customer's own words

Deterministic, written

Keep it alive after delivery

Recipient's framework

Daily Progress Log

📅 July 7, 2026 (Monday)

📅 July 3, 2026 (Thursday)

📅 July 2, 2026 (Wednesday)

📅 July 1, 2026 (Tuesday)