Step 3 of 4 · Prove & Deploy

Agentic AI — POC to Platform

One workflow, four weeks, deployed in your cloud tenant. If it earns its next step, we scale it through the same six-phase framework into an enterprise agentic platform — with human-in-the-loop gates on every consequential decision, and you own the weights throughout.

4 weeksFixed-scope POC
4–16 weeksFull platform build
Custom-scopedContact us for a quote

The De-Risking Promise

One workflow. Four weeks. Deployed in your tenant.

The fixed-scope POC is the fastest way to see production AI running on your own data — not a demo, not a sandbox. We pick the single highest-value workflow, build and deploy an agent against it in your cloud tenant, and measure it against agreed success metrics.

If it doesn't earn its next step, you've spent four weeks — not four months evaluating a platform you were never going to buy.

Scales into the full framework

A successful POC moves into the same six-phase delivery framework used for our largest agentic platform builds (Tier 2/3) — same rigor, same red-teaming, same observability. Nothing changes except scope.

Delivery Framework

Six phases, from feasibility to handoff.

The full framework runs 8 weeks for a Tier 2/3 platform build. The fixed-scope POC compresses phases 1–3 into the first 4 weeks.

Week 1

Use Case Definition & Feasibility

Identify the highest-value workflow. Define agent goals, tool access, and success metrics. Map existing systems and data.

Weeks 1–2

Architecture Design & Tool Integration

Design the agent graph (LangGraph). Specify tools — APIs, databases, retrieval systems, external calls. Define human-in-the-loop gates.

Weeks 2–5

Agent Build & Tool Integration

Implement agent nodes and edges. Build and test each tool. Integrate the retrieval layer (RAG, where required). Unit tests per tool.

Weeks 5–6

Agent Evaluation & Red Teaming

Hallucination testing. Adversarial inputs. Loop detection. Cost analysis per run. Edge-case coverage.

Weeks 6–7

Production Deployment & Observability

Deploy to your cloud tenant. Configure tracing (LangSmith or equivalent). Alerting on failure modes. Cost monitoring.

Week 8

Handoff & Knowledge Transfer

Your team trained on agent operation, monitoring, and prompt iteration. Full documentation package. 30-day async support included.

Scaling further

Need a fine-tuned model, not just an agent?

RAG pipelines and LLM fine-tuning follow the same rigor — and the same rule: you own the weights.

See RAG & LLM Fine-Tuning