Production AI Pilot

One workflow. Concept to production.

The Production AI Pilot is Corinth's flagship AI engagement: pick one valuable workflow, and we design, build, integrate, evaluate, and deploy it into your real environment — with the engineering around the AI that demos always skip.

Why a pilot — done right

Most AI pilots fail. The engineering is why.

MIT's widely-cited NANDA research found that 95% of enterprise generative-AI pilots showed no measurable business impact. The pattern behind that number is consistent: the pilot proves the model can talk, then dies at the gap between a demo and a dependable system — no integration with real applications, no persistent state, no evaluation, no human decision points, no security review, no path to production.

The Production AI Pilot is built backwards from that failure mode. Production is the requirement from day one, and one working workflow beats ten impressive demos.

Production AI system map: an AI core connected to security, data, users, code, and monitoring
What's included

The complete system around the AI.

Workflow architecture

The process mapped and redesigned as an intelligent workflow: AI reasoning, deterministic rules, tools, and human decisions in the right places.

Real integration

Connected to the applications, data, and documents the workflow actually touches — not a sandbox.

Evaluation & observability

What the AI did, why, where it failed, and whether each version beats the last — measured, not vibes.

Human oversight

Approval and escalation designed in wherever judgment or risk matters.

Security review

Access controls, data boundaries, tool permissions, and secure model access from the start.

Production deployment

Controlled rollout into real usage, with monitoring and a runbook your team can own.

Good pilot candidates

Where this engagement shines.

INTAKE & ROUTING

Requests, tickets, leads

Classify, enrich, respond, and route incoming work with human review on exceptions.

DOCUMENTS

Reading & processing

Extract, validate, and act on business documents that people currently re-key by hand.

KNOWLEDGE

Internal answers

Retrieval over your policies, projects, and history — grounded, cited, and permission-aware.

STALLED PROTOTYPES

Productionization

A promising prototype that never shipped — we engineer the missing production layer around it.

Common questions

Production AI Pilot, answered

What exactly is a Production AI Pilot?

A fixed-scope engagement that takes one valuable workflow from concept to production: architecture, integration with your real systems, evaluation, human-approval design, security, deployment, and observability. Not a demo, not a proof-of-concept — a workflow your team runs on real work.

How is this different from the AI pilots that fail?

Widely-cited MIT research found most enterprise AI pilots produce no measurable impact — typically because they stop at the model and skip the system: no integration, no state, no evaluation, no human workflow, no production hardening. The Production AI Pilot exists to engineer exactly those missing layers.

What do we need to provide?

One workflow worth improving, access to the systems it touches, and a decision-maker who can review weekly demos. We handle the engineering. If you already have a stalled prototype, that's a common and excellent starting point.

What happens after the pilot?

Three common paths: expand the workflow, add adjacent workflows, or move into ongoing engineering for operation and improvement. You own everything built either way — code, accounts, and documentation.

Pick the workflow. We'll take it to production.

Fixed scope, weekly demos, and a system your team runs on real work — not another demo for the graveyard.

Discuss a production pilot
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