What we build
Automations that earn their seat on the team.
Six disciplines, one operating principle — every system we ship is observable, owned, and accountable for a number.
01 / 06
Custom AI Agents
Autonomous agents that read your tools, make decisions, and take action — scoped to one job and ruthlessly reliable.
02 / 06
Workflow Automation
Multi-step pipelines that move work between systems while you sleep — triggers, branching logic, human approvals.
03 / 06
Knowledge & RAG
Turn scattered docs, tickets and wikis into a grounded retrieval layer your agents can actually trust.
04 / 06
Voice & Inbox
AI on the phones and in the inbox — triaging, drafting, routing, and escalating with your tone of voice.
05 / 06
Evals & Observability
Every automation ships with test suites and dashboards so you see drift before your customers do.
06 / 06
Fractional AI Team
An embedded pod that keeps shipping — maintaining, tuning and extending automations after launch.
How it works
Work that runs itself — and shows its work.
Every automation is a small, observable workflow. Something kicks it off, an AI agent reasons over your context, calls the right tools, and writes the results back where your team already works — with a full trace you can review and roll back.
Grounded
reasons over your data, not the open web
Guarded
human approval gates on anything irreversible
Observable
full trace + replay on every single run
Process
From bottleneck to deployed in four moves.
01
Map
A working session to find the workflows bleeding the most hours — then we pick the one with the clearest ROI.
02
Prototype
A working automation in your stack within two weeks. Real data, real tools, no slideware.
03
Harden
Evals, guardrails and approval gates until it survives your messiest edge cases.
04
Operate
We monitor, tune and extend — you get back the hours and the roadmap to automate the next thing.