10decodersEnterprise AI,
packaged for
your stage.
Four structured packages — from a single diagnostic sprint to a fully managed AI transformation. Fixed scope, fixed timelines, defined deliverables.
You don't start
at Level 3.
Each package is a milestone — enter at your actual maturity, not the aspirational one. Packages chain together. No re-work between them.
Four packages.
One clear path.
From a complimentary diagnostic sprint to a fully managed transformation programme. All packages include defined deliverables and ISO 27001-compliant delivery.
Sprint
A facilitated diagnostic session that produces one decision-ready artefact: a prioritised AI roadmap scoped to your actual operations. No pre-reading. No follow-up proposal needed. You leave with something you can action on Monday.
- AI Maturity Matrix — scored across 8 dimensions
- Architecture sketch for lead use case
- Use-case shortlist (3–5), ranked by ROI × feasibility
- Post-session resource pack + AI Design Canvas
- 90-day roadmap artefact, formatted for exec sign-off
- 30-minute debrief within 5 business days
A 2-week intensive that designs and validates your complete AI architecture — data layer, integration map, agent framework, and governance model.
- Data readiness audit + cleanup scope
- End-to-end architecture document
- Integration map against your stack
- Agent framework selection (CheiAI / CrewAI / custom)
- Zero-trust security layer specification
- PoC scope document + team structure
- Exec-ready stakeholder deck
A 6-week managed sprint — architecture to live, measurable pilot. India-delivered engineering pod with US-side go-live coordination.
- Dedicated 3-person India delivery pod
- Data foundation + ETL pipeline setup
- Agent / RAG build on CheiAI or OpenClaw OS
- QA validation with automated QE agent
- US-side go-live coordination (PHI-compliant)
- Live metrics dashboard (latency, cost, accuracy)
- 30-day hypercare post launch
A 6–12 month retainer. Agentic workflows, digital workers, continuous ML Ops — a dedicated pod that functions as your internal AI department.
- Dedicated 5–8 person India + US hybrid pod
- Multi-agent deployment (CheiAI full stack)
- Continuous ML Ops + model monitoring
- Monthly executive ROI reporting
- Priority access to DocuFindr + VuFindr modules
- Quarterly roadmap review with CTO
- SLA-backed uptime on production agents
Which package
is right for you?
| Clarity Sprint | Architecture Build | Pilot Launch Pod | Managed Transform | |
|---|---|---|---|---|
| Duration | 4 hours | 2 weeks | 6 weeks | 6–12 months |
| Primary deliverable | Roadmap artefact | Architecture doc | Live pilot | Production AI system |
| Team allocated | Facilitator | Architect + 1 | 3-person India pod | 5–8 hybrid pod |
| CheiAI deployment | — | — | ✓ | ✓ |
| India delivery pod | — | — | ✓ | ✓ |
| ML Ops included | — | — | — | ✓ |
| PA Fast Track add-on | — | — | ✓ | ✓ |
| Best entry for | Pre-budget validation | Design & scoping | First production AI | Enterprise scale-out |
India-delivered.
US-aligned.
Chennai and Madurai engineering pods at India economics — with US-side go-live and PHI-compliant handoff. No US-headquartered vendor can credibly replicate this model.
Architecture, agent development, QA, integration, data engineering, and ML Ops from Chennai and Madurai. Senior engineers operating async with US time zones — not offshore commodity.
Chennai · MaduraiGo-live, PHI-touching workflows, Epic integration, and stakeholder engagement handled by US-based team. India handles sandbox, documentation, and reporting. Partition built for HIPAA from day one.
Charlotte, NCFor India captives of US health systems — we engage GCC Site Heads directly to scope AI-native delivery upgrades that upstream to the parent health system. Fastest path to enterprise US healthcare contracts.
GCC · Captive TrackEvery engagement includes our zero-trust AI security layer — no PHI crosses boundaries, all agents operate in isolated tenants, full audit logs. ISO 27001 and ISO 9001 certified operations.
ISO 27001 · ISO 9001Numbers from
production.
What teams say
after the engagement.
The Clarity Sprint gave us more direction in four hours than six months of internal AI steering committee meetings. We had a roadmap we could action by Monday morning.
The India pod delivered exactly what they scoped. The PHI handoff to our US team was seamless — we were live in week six as promised. Prior auth turnaround dropped from 11 days to under 2.
Having 10decoders engage our India captive directly meant we could prove ROI at the site level before making the pitch upstream to the US parent system. That changed everything for us.
Not sure which
package fits your situation?
Take 20 minutes with our team. We'll map you to the right level, outline a realistic engagement, and give you a clear cost — in one direct conversation.