Pilot to production

The pilot trap is familiar. A vendor or internal team builds something impressive in six weeks. Leadership sees a demo. Legal asks questions nobody can answer. IT discovers the integration is read-only. Data quality fails on real cases. The project pauses for governance review. Budget moves on. The pilot becomes a slide in an annual report.

We structure engagements so the first outcome is production — scoped, priced and dated in discovery — not an indefinite experiment. That does not mean big-bang risk. It means the same rigour you expect from a business application release: environments, monitoring, training, runbook, ownership.

Why pilots stall

Scope without boundaries

Open-ended exploration has no finish line. Stakeholders add use cases. Engineering chases novelty. Nobody defines what done means. We fix scope in Perceive: one first production release with named integrations, users and success measures. Further use cases are a portfolio, sequenced after the first ships.

Governance as an afterthought

Teams that treat compliance as phase two discover blockers late. Audit logging, residency, model documentation and human oversight belong in the architecture from week three. Our standards and discovery governance baseline front-load these requirements so production approval is evidence-based, not a scramble.

Integration fantasy

Copilots that cannot write to systems of record become sidecar chat windows. Pilots often demo against static files while production needs live APIs, authentication, idempotency and error handling. We trace real transactions in discovery and price integration honestly.

No operational owner

When the project team disbands, nobody watches evaluation scores or inference cost. Production without Run or an internal ops function decays quietly. We hand over a runbook and offer Run so ownership is explicit on day one.

Our production path

1. Perceive (two weeks): ranked portfolio, fixed-price proposal, production scope defined.
2. Engineer (weeks 3–10): weekly demos, evaluation harness live early, security parallel.
3. Deliver (by week 12): cutover, training, monitoring, hypercare.
4. Run (optional): drift, cost, upgrades, quarterly roadmap.

Week twelve is a commitment in the contract, not a aspiration. If discovery shows week twelve is unrealistic for the ambition, we say so and propose a narrower first release or a foundations-first plan — before you sign the build.

Phased rollout inside production

Production does not always mean every user on day one. We use phased rollout — by region, business unit or approval mode — inside a production environment with full logging and monitoring. Human-in-the-loop on high-impact actions is a production configuration, not a pilot limitation, when policy requires it.

The distinction is infrastructure and ownership: production stacks, production SLAs, production change control. A phased user rollout on production is prudent. A separate pilot stack that will be rebuilt is waste.

Measuring production success

Success metrics are agreed in discovery and tracked from launch: task completion rates, time on task, error rates, escalation frequency, user adoption by cohort, evaluation scores on held-out sets. We report against these in hypercare and Run — not vanity counts of messages sent.

After the first release

The portfolio from discovery gives you a sequenced roadmap. Each subsequent increment can use a lighter scoping pass when foundations exist. Pilot-to-production is a one-time crossing for the first system; after that, you have patterns, evaluation assets and integration adapters to reuse.