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We don’t ship AI demos. We ship AI systems.

The hard part of enterprise AI was never the model. It’s the data contract that breaks at 3am, the evaluation nobody trusts, the compliance review that kills the launch, and the cost curve nobody modelled. That’s the work we do.

P·R·I
The problem / the outcome

Pilots don’t fail on the model. They fail on the path to production.

The problem

Most enterprise AI never ships.

The notebook works. The demo impresses. Then it meets real data, real volume, real compliance and real cost — and no one owns the path from there to a governed production system. The pilot quietly dies, and the budget with it.

The outcome

Governed AI, in production, on your numbers.

AI under real load with evaluation, guardrails, observability and cost control engineered in — measured against a business case agreed before we started. A system your teams can run and your board can account for.

The stack

What we actually build with.

Not a logo wall. The components we engineer and the discipline around them.

LLM fine-tuning & adaptationRAG architecture & retrieval qualityAgentic workflowsEvaluation harnesses & offline evalGuardrails & policy enforcementMLOps & model lifecycleVector & feature storesCost & token observabilityHuman-in-the-loop reviewModel governance & audit trails
USE
Enterprise use cases

Where this earns its budget.

RISK & FRAUD

Real-time fraud intelligence

Decisioning models in the payment path — explainable, governed, sub-10ms. Measured on fraud prevented and false-positive cost, not accuracy alone.

OPERATIONS

Document & process automation

High-volume document understanding with human-in-the-loop review and a hard audit trail. Measured on handling time and error rate.

DECISION SUPPORT

Domain copilots

Retrieval-grounded assistants built on governed knowledge with citations — not open-ended generation.

SERVICE

Support deflection

Contained, evaluated conversational systems with escalation paths. Measured on resolved-without-human, safely.

Where this sits in PRISM

This capability lives in the first three stages.

AI work is highest-risk for budget. That’s why it’s front-loaded into Proof and Roadmap — the business case and architecture are settled before serious build.

PProof
RRoadmap
IImplement
SScale
MMeasure

Have an AI initiative that needs to ship?

Start with Proof. We’ll model the commercial case before proposing a build — and tell you honestly if the number isn’t there.

Model my ROI
Stage P is a conversation, not a contract.