Generative & Agentic AI — LLMs · Agents · RAG
We don't ship chatbots. We ship governed digital workers — agents with tools, memory, evals and a P&L line. Every agent is contracted to an outcome and instrumented end-to-end.
Everything that ships
- Agent blueprintTool inventory, memory schema, escalation paths, guardrail policy.
- RAG pipelineVector + hybrid retrieval, freshness SLOs, citation enforcement.
- Eval harnessGolden set, regression suite, online judge with weekly scorecards.
- Multi-agent orchestratorPlanner/worker/critic loops with deterministic fallbacks.
- Cost & latency dashboardPer-task spend, p95 latency, hallucination rate.
- Agent Architect
- ML Engineer
- Prompt/Eval Lead
- Domain SME
agent: renewals.copilot
tools: [crm.read, contracts.draft, slack.dm]
memory: episodic + semantic(qdrant://renewals)
guardrails:
pii: redact
pricing: human_in_loop_above 50000
slo:
task_success: 0.92
p95_latency_ms: 2400
owner: pod.renewalsWeeks 1–6 · first agent live by week 3
- 1Week 1Workflow excavation
Map the 5 highest-value tasks; pick the agent's first job.
- 2Week 2-3Agent v1 + evals
Tool wiring, RAG, golden set, first internal pilot.
- 3Week 4-6Hardening & rollout
Guardrails, online evals, controlled production rollout.
Things prospects ask
Whichever wins the eval. We benchmark across frontier + open models per task and re-run monthly.
Citation enforcement, retrieval grounding, an online judge model and a human-in-loop ladder above defined risk thresholds.
You do. We hand over the eval harness, runbook and on-call rotation, with optional managed ops.
Stand up Generative & Agentic AI in Weeks 1–6.
We'll respond within one business day with a scoping note, a fixed-price outcome contract, and a named principal. Your details sync straight into our concierge queue.
- • Outcome-priced — no T&M.
- • Sovereign by default — your data, your region, your keys.
- • Wired into the Fuel Pressure gauge from day one.