The Agentic AI Production Sprint

From analyst-heavy deal work to a validated production system in 6–8 weeks.

We map and baseline one deal process, engineer an agentic system around the firm's existing sources and methodology, run it beside representative human work, then deploy only after agreed acceptance criteria are met.

Operating reality first

We start where the work actually breaks.

The first question is not which model to use. It is where people lose time, which systems contain truth, and what evidence makes an output trusted.

Governed production path

AI output needs a control system around it.

Approved scope, source visibility, reviewer checkpoints, audit logs, and validation evidence decide whether a workflow can scale.

The operating model

Map, build, shadow run, and go live.

The first scope stays narrow enough to validate and valuable enough to affect capacity. The engagement ends with a deployed agentic system, operating evidence, documentation, and a clear expansion map.

Map the process and baseline

We map the current people, documents, spreadsheets, systems, handoffs, exceptions, and review path. Then we baseline effort and define acceptance criteria.

Build and integrate

We coordinate specialized AI agents with deterministic logic, integrations, evidence, permissions, and review interfaces around the firm's existing delivery process.

Shadow run with real work

The multi-agent system runs alongside representative historical or live work so reviewers can compare accuracy, evidence, exceptions, edits, and turnaround.

Go live and hand over

We deploy the validated workflow, onboard users, document the system, and identify the next two or three workflows worth evaluating.

What we insist upon

A system that works in a demo but fails in the client's real operating environment is not a success. Every workflow must fit the data boundary, user roles, review process, and production support model.

Approved data scopes and least-privilege access
Source-backed outputs or visible SQL
Validation evidence before expansion

What we reject completely

We will not build generalized chatbots disconnected from business rules. We will not sell open-ended AI transformation when a scoped workflow pilot is the honest next step.

AI tools without ownership of correctness
Black-box outputs that cannot be reviewed
Pilots with no production decision path

OpenAI partner network

Build with an OpenAI Select Partner.

Recognition supporting our work helping organizations build, deploy, and scale production AI systems with OpenAI.

Review deployment controls

Ready for a production decision

Ready to map one deal-delivery system?

Tell us where analyst time is disappearing. We will map the process, baseline, data boundary, reviewer path, acceptance criteria, and practical agentic system scope.

Discuss a Deal Process See How We Work