I'm shifting from delivery execution to channel development. My team handles delivery. I'm building the channel with you and Matthew.
Channel Partner Reframe
- Sprint cadence→Customer acquisition pipeline
- Deloitte bugs/features→100 customers' deployment status
- Tools Deloitte consumes→Tools Deloitte uses to serve THEIR customers
- Status reports→Joint pipeline reviews with Ron + Matthew
Channel & Business Development
- Co-selling pipeline with you & Matthew
- Training strategy & LMS vision
- Channel partner program development
- Joint pipeline reviews & expansion
Portfolio Delivery & Tracking
- Deployment lifecycle execution
- Customer status tracking & reporting
- Technical delivery coordination
- Automated portfolio analytics
We have 2 live deployments and 7 licensee accounts. We need a joint pipeline to scale to 100.
The goal: Deloitte deploys, configures, and builds for their customers without needing us.
✅ April 8 — First Training Delivered
25 engineers, platform foundations, strong reception. Deloitte's feedback: video as pre-work, live sessions for hands-on only. That's exactly what the LMS delivers at scale.
Shipped Training Assets
2-track structure (Practitioner P1-P4 + Technical T1-T4), 11 reference modules, 3 hands-on exercises, program plan
Facilitator guide, platform FAQ, screenshot catalog — materials for Deloitte trainers running sessions independently
Narrated stakeholder overview — sovereignty, AI agnostic, rapid experimentation
Engineer Briefing
Full technical onboarding doc — what Kindo is, architecture, what you can build, why it matters for Deloitte Cyber
Video Pre-Work
Engineers watch on-demand before the session. Foundations, concepts, platform walkthrough.
Live Hands-On
Live session = real environments, real examples, real questions. No lecture — only practice.
Deloitte Leads
Train-the-trainer: Deloitte engineers run sessions for their own teams. No Kindo needed.
2 installs live. Lessons codified into a playbook. 8-stage lifecycle to track every customer from intake to expansion.
Deloitte identifies customer. Scoping request submitted with use case and environment details.
Validate use case fit, environment readiness (AWS/GCP), security requirements, and resource commitment.
Automated checks: connectivity, permissions, networking, cert manager. Manual checklist across departments. Green light required.
Helm chart deployment, infrastructure provisioning, base platform configuration within customer guardrails.
LLM providers (Bedrock, etc.), enterprise connectors (SAP, Sailpoint, Oracle), SSO, custom MCPs.
UAT with customer team, security review, performance benchmarks, observability setup, sign-off.
Production cutover, L1/L2 support handoff to Deloitte, health monitoring active, alerting configured.
Additional use cases, new personas (Operator, Business User), enterprise integrations — value growth per customer.
Known issues: LLM bad request errors, context window mismatch (200K vs 1M), SAP connectivity gaps
SAP/MCP integration issues being worked. Operational baseline for new installs.
Kindo × Deloitte Joint Review — Lessons from Installs 1 & 2
Preflight Validation
Enterprise environments need infrastructure green light before deployment — permissions, network, security sign-offs across multiple departments.
Enterprise Guardrails
Deloitte's security policies prevent standard IAM and subnet provisioning. Every customer environment has unique constraints — vanilla automation isn't enough.
Observability & Monitoring
Production instances need auto-alerting and health monitoring. Teams need to know when components fail — before customers do.
Scalability
Automated preflight script (Helm chart) validates connectivity, certificates, and config before deployment starts. Manual checklist gives enterprise teams visibility across departments. Both are codified and improving with every install.
CISO-Ready Reporting
Deloitte partners need to show CISOs where each deployment stands. The lifecycle gives them a clean, standardized status they can present with confidence.
Live Dashboards (Linear Data — Auto-Updated Daily)
Features, bugs, training status, workstream progress
Program status, completion metrics, strategic blockers
1. Pipeline Data Source (Pillar 1)
The co-selling pipeline is static. To make it live, we need a shared data source for customer tracking — who's at what stage, use case, environment, owner. Where does Ron/Matthew's customer portfolio live? Can Bryan provide access or a regular export?
2. Training Completion Tracking (Pillar 2)
Need a mechanism to reflect actual training completion status as cohorts run (e.g., "Domain 1: 25 engineers trained, Domain 2: in development"). Does Kindo's platform have learner progress data we can pull? Does Deloitte track attendance/completion somewhere?
3. Portfolio Tracking Drill-Downs (Pillar 3)
Need mechanisms for:
- Per-customer detail — click Adelina's team or IT Services → current blockers, feature status, integration progress
- Operational rollup — aggregate feature/bug counts, workstream completion %, top blockers
- Executive summary — program status (GREEN/YELLOW/RED), completion metrics, what changed since last review
4. IT Services Team Lead
Need the actual contact name for the IT Services deployment (currently labeled "ITS"). Adelina is confirmed for the Cyber deployment.