AI Solutions
Custom AI systems with the rigor of production software and the evals to prove they work.
The work
We don't drop ChatGPT into your business. We build domain-tuned AI systems — clinical scribes, multilingual concierges, adaptive tutors, internal copilots — that integrate with your existing data, satisfy your compliance bar, and ship behind eval harnesses so you can tell when a model upgrade helps or hurts. Then we transfer the operating knowledge so your team owns it.
How we work
A typical engagement, beginning to handoff. Phases compress or expand around the diagnosis — they don’t skip.
- 01 — Map
Weeks 1–2
Opportunity mapping and compliance bar
We sit with the operating team, map every workflow that could absorb AI value, and rank them by leverage and risk. We agree the compliance bar (HIPAA, SOC 2, GDPR, internal policy) before a single token is written. We leave week two with a one-page bet — what to build, why, what success looks like, and the cost of being wrong.
- 02 — Architect
Weeks 3–4
Model selection, RAG design, eval scaffolding
We pick the model family and retrieval strategy that matches the task — not the one in the press release. RAG pipelines, agent loops, or tool-using copilots get sketched against your real data, with a privacy boundary you'd defend to your auditor. The eval harness gets scaffolded first so we can measure progress from day one.
- 03 — Build
Weeks 5–10
Iterate against evals, integrate with your stack
We build behind an eval harness that gives every prompt change a pass/fail score. Faithfulness, groundedness, refusal rate, latency. We integrate with your existing data sources and identity layer, ship feature-flagged, and run pilot users alongside the human workflow we're augmenting.
- 04 — Operate
Weeks 10–12
Observability, model swaps, runtime guards
We instrument logging, tracing, and prompt-level cost telemetry. We wire model-version pinning and an A/B harness so you can swap GPT-5 for the next frontier model and immediately tell whether it helps or hurts. Safety guardrails — input validation, output review, abuse rate limits — ship with the system, not after.
- 05 — Hand off
Enablement and runbook
We transfer the operating knowledge. Your team gets the runbook, the eval suite, the on-call playbook, and the cost model. We answer questions for 30 days after handoff. The system is yours to evolve — not a vendor lock-in.
What you get a senior partner on
- AI strategy & opportunity mapping
- LLM integrations & agent workflows
- RAG pipelines & retrieval design
- HIPAA / SOC 2 / GDPR-aware architecture
- Eval harnesses & observability
- Change management & enablement