Sprints

Fixed scope. Fixed price. Real outcomes.

Ten engagements designed to take you from strategy to a working pilot in 2–12 weeks. Each one with a clear outcome, defined deliverables, and a fixed investment.

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Strategy

1 sprint

2 weeks

AI Discovery Sprint

Top 5 use cases. Real ROI. Defensible roadmap.

The fastest way to align leadership on what to build first. Two weeks of structured workshops, stakeholder interviews, and use-case scoring — with a roadmap your CFO can defend.

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Agentic AI

3 sprints

4 weeks

Foundry Agent Pilot

From use case to a production-ready agent.

A single-purpose AI agent for one well-defined use case — discovered, designed, built, and deployed on the Microsoft Agent Framework + Foundry Agent Service. Plus a 30-day support window after handover.

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6 weeks

Multi-Agent POC

Coordinator + specialists. Solve a real workflow.

A multi-agent system with orchestration — a coordinator agent plus specialists that handle a complex business workflow end-to-end. Deployed on Microsoft Foundry with full evaluation and observability.

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2–3 weeks

MCP Integration Sprint

Connect agents to your real enterprise stack.

Stand up Model Context Protocol servers and clients to bridge your AI agents to the tools, data, and APIs your business actually runs on — secure, standardized, production-ready.

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GenAI

1 sprint

4–6 weeks

GenAI POC Sprint

RAG or chatbot, in production.

A production-ready RAG system or domain-specific chatbot — grounded, evaluated, and deployed. The fastest path from 'we should try GenAI' to 'we have GenAI in production'.

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Copilot & DevAI

3 sprints

3 weeks

Copilot Readiness Sprint

M365 Copilot — adopted, governed, measured.

Most M365 Copilot rollouts fizzle by week 6. This sprint installs the readiness, governance, and adoption discipline that makes it stick — plus a champion-led pilot that proves value.

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4 weeks

DevAI Enablement Sprint

GitHub Copilot, rolled out the right way.

GitHub Copilot is no longer just inline completion — Chat, Workspace, and Coding Agent are reshaping how engineering teams work. This sprint stands up rollout, governance, baseline metrics, and an AI-augmented SDLC blueprint.

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6 weeks

AI-Augmented SDLC Sprint

Spec to PR, AI in every stage.

Reshape your engineering pipeline around agentic AI. Specs, code, tests, review, security, docs — every stage gets the right AI tool, integrated, with metrics. The SDLC equivalent of switching from waterfall to CI/CD.

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AI Ops

2 sprints

8–12 weeks

AI Production Kit

End-to-end production AI with LLMOps baked in.

The full production package: agentic AI or RAG application with LLMOps, observability, governance, and FinOps. The engagement model for teams who want one partner from idea to scale.

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3 weeks

Responsible AI Audit

Compliance-grade governance, not just policies.

An audit and governance framework aligned to the EU AI Act, ISO 42001, and the Microsoft Responsible AI Standard. Not just a policy doc — actual evaluation, instrumentation, and remediation.

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Not sure which sprint fits?

A discovery brief is enough to scope your situation. We'll point you to the right entry — or tell you to wait.

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