We do three things — and we keep the count to three on purpose. Every engagement runs through the same lens: agents and automation only earn their keep when an operator can defend the numbers in a quarterly review. If a system can’t survive the next release cycle, it shouldn’t have shipped.
Below is what each discipline looks like in practice. Pick the one closest to where you are. We’ll tell you in the first conversation whether you actually need it.
AI Agent Development
Custom agents, multi-agent systems, MCP integrations, and the evals that gate every deployment. Built for production, not a stage demo.
Business Automation
Workflow design, ETL pipelines, API integrations, and the observability layer that tells you when an integration drifts before customers do.
Strategic Consulting
Roadmaps, ROI models, governance stacks, and the hire-vs-automate decisions your CFO will sign off on without flinching.
How we engage
Every engagement follows the same four phases, regardless of which discipline you start with: discovery (one to two weeks of process and data audit), build (four to eight weeks of focused delivery), ship (one to two weeks of shadow-mode, evals, and cutover), and operate (an ongoing month-to-month retainer for tuning, monitoring, and the calibration that keeps the system honest). Typical end-to-end timelines run six to twelve weeks. Anything shorter is usually a demo. Anything longer is usually a process problem, not a build problem.
We don’t accept engagements where the data isn’t ready, where there’s no named owner in the business unit, or where success can’t be defined in numbers. Saying no early is part of the work — it’s why our deployments don’t end up in the 86% that never reach production.