WHAT YOU GET
04 deliverables
01Pipelines that run unattendedIngestion, retries, backfills and alerting, built for the days when an upstream system is down and nobody tells you.
02An eval harness with teethThe cases that matter, scored automatically, gating every model and prompt change before it reaches production.
03Guardrails at the boundaryInput validation, output constraints, escalation paths, and a defined answer for what happens when the model is wrong.
04Monitoring your on-call trustsDrift, latency, cost and failure modes on the dashboards your team already watches at three in the morning.
HOW IT RUNS
Evals first, then the model. Everything after week two is measured rather than argued about.
WEEK 01Baseline and boundaries
What the process costs today, and exactly what the system is allowed to decide on its own.
WEEK 02–05Build against evals
The harness comes first. Every change after that has a number attached to it.
WEEK 06–09Harden
Failure injection, security review, access control, cost ceilings and a staged rollout plan.
WEEK 10+Roll out and transfer
Shadow mode, then a slice of live volume, then the rest — with your engineers holding the pager by the end.
WHERE IT LANDS
OUTCOME
It survives its first bad week
Because the failure modes were designed for rather than discovered in production.
OUTCOME
Changes ship without ceremony
Evals decide, which turns a model update into a routine deployment instead of a committee.
OUTCOME
Your team can debug it
Standard tooling, your repositories, your CI. Nothing exotic to hire for after we leave.
THE SHAPE
DURATIONTypically 8–14 weeks.
TEAMTwo to four senior engineers, named at contract.
DELIVERYRemote, working in your cloud, your VPC or your on-premise estate.
PREREQUISITESAn agreed baseline and access to representative data.
LEADS INTOProcess Transformation with AI, once the system is live.
NOT A FIT WHENThe use case has not been chosen yet. Start with AI Strategy.
BUILD IT SO IT RUNS ON A BAD DAY.
Production hardening is most of the work and almost none of the demo. It is what we do.