AI consulting that ships systems, not slideware
Most AI consulting ends at a strategy deck. Ours ends at a system running inside the business, owned by the people who use it.
Real adoption of AI is less about access to models and more about fitting them into the messy reality of an enterprise. Our forward deployed engineers embed inside customer teams and own the outcome end to end: discovery, design, build, integration, deployment, and the operating handoff.
We start from the work, not the technology. That means sitting with operators, leadership, and frontline staff, mapping the workflows that move the business, and identifying where AI creates leverage that compounds. Then we narrow, and we ship.
The result is an AI system that respects the constraints that matter - security posture, permissions, compliance regime, operational guardrails, and the legacy systems already in place - and that the organization can rely on well past the first deployment.
How we approach it
Diagnose where the leverage is
We map the real workflows, talk to the people doing the work, and identify where AI moves a number the business already tracks. No vanity use cases.
Design around the constraints
Security, identity, data residency, permissions, audit, and the existing tooling are inputs, not afterthoughts. The system is built to live inside them from day one.
Ship to production fast
First production deployment in weeks, not quarters. We instrument it so the customer can see what it is doing and decide where to push next.
Operate and harden
We stay long enough for the system to survive contact with the real business: incident response, eval pipelines, governance, and a clean handoff to the internal team.
What you get
- A prioritized map of where AI creates measurable leverage in your organization
- A first production AI system, integrated with your data and tooling, in weeks
- Workflow level metrics wired in from day one
- A clear operating model for governance, evals, and ongoing iteration
- Internal team enabled to own and extend the system after handoff
Frequently asked
- What is AI consulting and how is it different from a typical consultancy?
- AI consulting is the work of figuring out where AI creates measurable value inside an organization, designing the workflow around it, and shipping a system that runs in production. We do that work alongside our customers as forward deployed engineers. We are not a slideware practice. Every engagement ends with running software, integrated with the customer's data and tooling, and instrumented so the business can see what it is doing.
- What kinds of companies do you work with?
- Mid-market and enterprise organizations where AI has to operate inside real constraints: regulated data, legacy systems, established workflows, and clear cost and reliability targets. Industries include home improvement, healthcare, field sales, financial services, and consumer media.
- How do engagements start?
- Every engagement starts with the same question: where can AI create measurable leverage inside the way this organization actually works? We run a focused diagnostic across leadership, operators, and frontline teams, narrow to a small set of priority workflows, and then ship a first production system inside that scope.
- Do you build with our existing stack and models?
- Yes. We are model and platform neutral. We work with the customer's existing data warehouse, identity, security posture, and tooling, and we integrate with whatever frontier or specialized models fit the workload. The deployment is bespoke; the goal is leverage, not vendor preference.
- How is success measured?
- By workflow level outcomes the customer cares about: cycle time, conversion, accuracy, throughput, cost per outcome. We instrument what we ship from day one so those numbers are visible to leadership and operators, not just to us.