AI Automation
Production agents, not demos. Every system ships with guardrails, evals, and monitoring.
What we ship
avg manual work automated/yr
Real operational savings, not projected.
avg faithfulness score
Across all production RAG deployments.
avg time to production
From Strategy Sprint sign-off to live.
How we work
Strategy Sprint
We audit your data, define the agent scope, choose retrieval architecture, set eval criteria. You get a build/buy document and architecture diagram.
Agent Build
LangGraph graph implemented. RAG pipeline (ingest → embed → retrieve → rerank). Tool integrations with your internal APIs. Guardrails (Presidio + Lakera).
Evaluation + Launch
Golden set of 200+ test cases. DeepEval CI gate: Faithfulness ≥ 0.85, Relevancy ≥ 0.80. Langfuse tracing live. Production deploy.
Ops + Iteration
Monthly: eval re-runs on live conversations, drift alerts, one iteration sprint, model cost optimisation.
Tech we use
FAQ
How long does an agent build take?
Strategy Sprint is 2 weeks. A production agent build is typically 6–10 weeks depending on integrations, data readiness, and approval cycles.
Do you work with our internal data?
Yes. We sign an NDA before discovery. Data stays in your VPC — we never send proprietary data to third-party LLM APIs without your approval.
What models do you use?
Default: Claude Sonnet 4.5 for production reasoning tasks. Smaller models (Haiku) for classification and routing. We choose the cheapest model that passes your eval gate.
What does "evaluation harness" mean?
A CI-gated test suite: 200+ golden-set QA pairs, Ragas/DeepEval scoring, prompt regression tests, and adversarial prompt injection checks — all running on every deploy.
Is there ongoing support?
The AI Agent Build includes a monthly ops retainer ($1,990/mo) covering drift monitoring, model updates, eval re-runs, and one sprint of iteration per month.
Ready to Grow Your Business Online?
Talk to our team today. We will understand your needs, suggest the right solution and give you a clear quote — all for free.