Consulting that ends in working software.

A fixed-scope consulting engagement that answers one question: where, specifically, would agents pay off in your operation? We sit with the people who do the work, map the workflows end to end, and score every candidate on real payoff and real feasibility.

What you get:

• A workflow map naming every step, system, and decision point reviewed
• A ranked list of agent candidates, with the reasoning shown
• A build spec for the top candidate: scope, architecture sketch, guardrails, success measures

Where it fits: You know AI belongs somewhere in your operation, and you'd rather find out where before committing to a build.

We design and build agents that execute multi-step work: reading documents, routing requests, reconciling records, drafting outputs, escalating what needs a human. Every agent runs under explicit permissions, with review gates wherever the decision carries consequences. The kind of work this handles well: document intake and triage, order and invoice reconciliation, report assembly, support-ticket resolution, checks against internal policy.

What you get:

• A production agent running in your environment
• An evaluation suite built from your real cases, covering the edge cases that matter
• A runbook and admin controls so your team operates it without us

Where it fits: Repetitive, multi-step work with definable rules and enough volume that the manual version visibly costs you.

Sometimes the answer isn't a single agent, it's an application: an internal tool, a document pipeline, a customer-facing product with AI at its core. We build these end to end, in your repositories and your cloud, designed for the people who will use them every day.

What you get:

• The application, deployed to production
• Documentation and handover sessions for your engineers
• A roadmap of next iterations, grounded in what launch reveals

Where it fits: The workflow needs an interface, several roles, or customer exposure — more product than pipeline.

An agent is only useful once it's wired into the systems your business actually runs on; the ERP, the CRM, the ticketing queue, the data warehouse, inheriting your authentication and your permissions rather than working around them. And production is where the real work starts: monitoring, evaluation against live traffic, and iteration as your workflows change.

What you get:

• Integrations with your systems of record, under your access controls
• A monitoring view tied to the success measures we agreed in the spec
• A standing review cadence, so the system improves instead of decaying

Where it fits: You have agents or AI features, ours or anyone's, that need to graduate from pilot to dependable operation.