AI is on the board agenda, but nothing has shipped
Leadership wants a position on AI. You need bets you can defend with numbers, not a list of vendor demos.
Most AI strategy work ends in a slide deck. Ours ends in a sequenced roadmap your team can execute — the two or three problems where AI actually compounds for your business, in the order to ship them, with the guardrails to ship them safely.
Leadership wants a position on AI. You need bets you can defend with numbers, not a list of vendor demos.
Teams are experimenting in pockets. Without a strategy, the experiments never converge into infrastructure.
Every tool claims to be the answer. You need an independent read on what's real for your workflows.
Before committing budget, you want an honest ROI estimate per use case — including the ones not worth doing.
Concrete deliverables — not a deck and a goodbye.
Your operation mapped end-to-end, with every workflow scored for AI leverage, risk, and effort.
What to build, in what order, with what guardrails — tied to outcomes your CFO will recognize.
Per-use-case economics: cost to build, cost to run, and the realistic payback window.
A clear recommendation per opportunity — including where the right answer is 'not yet'.
A four-step path from the first honest audit to embedded.
Two weeks inside your operation. Workflows mapped, leverage points identified, an honest read of what's worth automating.
A sequenced plan: what to build, in what order, with what guardrails. Tied to outcomes you can measure.
We embed and ship. Real agents, real evaluations, real deployments. Code your team owns at the end.
Hand-off, training, and a 90-day support window. Your team runs the system; we stay reachable.
Two weeks inside your operation. We interview the people doing the work, map the workflows, score them for AI leverage, and come back with a sequenced roadmap and an honest ROI read per opportunity. No generic frameworks — every recommendation is grounded in your actual operation.
We're builders who do strategy, not strategists who outsource the build. Every recommendation we make is one we're prepared to implement ourselves — which keeps the roadmap honest and execution-ready.
Yes. Most of the leverage we map today involves generative AI — LLM-powered agents, drafting and synthesis workflows, and retrieval over your own data. The strategy covers the full stack: generative AI use cases, classic automation, and the data foundations both depend on.
Teams from roughly 10 to 500 people — SaaS companies, e-commerce brands, agencies, and professional services firms. Big enough to have real workflows, small enough to move.
You own the roadmap and can execute it with any team. Most clients have us build the first item on it — but that's earned, not assumed.
We're an AI agent development company that designs, builds, and deploys custom AI agents wired into your real systems — your CRM, your helpdesk, your data warehouse.
Read more AI automationMost of what your team does each week is repeatable: intake, triage, data entry, reporting, follow-ups.
Read more AI integrationThe fastest path to value isn't a new platform — it's AI embedded in the systems your team already lives in.
Read more Chatbot developmentA chatbot that guesses is a liability.
Read more Team trainingTool licenses don't make a workforce AI-fluent.
Read more AI auditTwo weeks inside your operation.
Read moreA 30-minute call. Bring the workflow that's hurting most. We'll tell you, honestly, whether this is the right lever — and where we'd start.