Custom AI agents and automations wired into your real systems — CRM, inbox, data, ops. Production-grade, with guardrails and monitoring, not a prompt in a box.
A slick prompt looks like magic in a meeting. Then it meets real data, real users and real systems. Here's what usually breaks:
We scope the workflow, build the agent or automation, integrate it into your stack, wrap it in guardrails and evals, then deploy and monitor it. One senior team, fixed scope.
We map the task, the data and the systems it touches — and where AI actually saves time or money. You get a fixed scope and an ROI map before we build.
Senior engineers build the agent or automation and wire it into your real stack — CRM, inbox, database, internal APIs — with guardrails and an eval suite from the start.
It ships to production, monitored, with alerts when something drifts. Documented and entirely yours. We're on call for 30 days after go-live.
Whatever fits the job — Claude, GPT and open models, orchestrated with the right framework and tool calls. We pick for accuracy, cost and latency on your use case, not for hype, and we're not locked to one vendor.
Guardrails, retrieval grounded in your data, and an eval suite that runs every change. The agent stays inside defined actions, cites its sources where it matters, and we measure accuracy before anything goes live.
Yes — that's the whole point. We wire the agent into your real stack: CRM, inbox, database, internal APIs and ops tools. It does the work where the work already lives, not in a sandbox you have to copy-paste out of.
100%. The code, the prompts, the agents and the infrastructure land in your repositories and your accounts. Zero lock-in — that's written into the engagement, from day one.
The AI Build starts at a fixed price after we scope the workflow and map the ROI. No hourly surprises. Start with the free audit and we'll give you a real number.
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