Sprint · AI Ops

AI Production KitEnd-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.

Tell us your pain — proposal in 5 days All sprints

8–12 weeksAI Ops

Who it's for

Is this sprint for you?

Companies committed to a flagship AI initiative
CTOs who want end-to-end accountability
Use cases with clear business case but no in-house AI team

Deliverables

What you walk away with.

Production AI application (agent or RAG)
Full LLMOps platform (tracing, evals, dashboards)
Governance documentation (policies, audits, evals)
FinOps playbook with cost projections
Security & red-team report
On-call runbook + 60-day support window
Quarterly health-check option

Timeline

Week-by-week — 8–12 weeks.

01
Weeks 1–2 — Foundation
Architecture, evaluation strategy, governance plan, observability stack.
02
Weeks 3–6 — Build
Application, agents, RAG, integrations, evals, content safety.
03
Weeks 7–8 — Operate
Production deployment, FinOps tuning, security review, runbook.
04
Weeks 9–12 — Stabilize
Optional: extended hardening, scale-out, multi-region, additional features.

Stack

What we use.

The Microsoft AI ecosystem we lean on for this sprint.

Primary stackMicrosoft FoundryMicrosoft Agent FrameworkAzure AI SearchAzure OpenAIMCPOpenTelemetryAzure Monitor

Scope

What's not included.

We're explicit about scope so you can decide whether you need to scale up — or stop here.

Long-tail UI/UX design (we deliver functional UI)
Hardware/infra procurement

FAQ

Common questions.

Why 8-12 weeks specifically?: It's the smallest scope that gets you a real production deployment with operational rigor. Anything shorter cuts corners; anything longer probably means scope creep.
What about ongoing operations?: We offer a managed AI services engagement after the kit ships. Or we hand off cleanly — your team owns it from day one.