Deliverables that ship, not slides.
- Process audit + automation candidate scoring
- End-to-end agentic workflow design
- Integrations across your stack (CRM, email, docs, accounting, calendars)
- Human-in-the-loop review where stakes are high
- Ops dashboards and weekly health reports
Four steps to live.
Map the flow
Shadow the team for 2–3 days to document the workflow exactly as it runs today.
Design the agent
Choose models, define guardrails, pick where humans stay in the loop.
Build + integrate
Wire to your existing tools — no rip-and-replace.
Pilot → scale
Run shadow-mode for 2 weeks, compare to baseline, then flip live with confidence.
Numbers, not vibes.
Who this fits.
- Ops teams drowning in inbox triage, data entry, or report generation
- Finance teams running monthly close, invoicing, or reconciliations manually
- Sales teams losing hours to CRM hygiene and follow-up sequencing
- Founders who want to scale revenue without proportionally scaling headcount
What buyers ask first.
What's the difference between automation and an "AI agent"?
Traditional automation follows fixed rules ("if X, then Y"). An agent reasons, uses tools, handles exceptions, and learns from feedback. We build whichever is right for your flow — and often a hybrid.
Will we lose control of important decisions?
No. We design every flow with explicit human-in-the-loop gates wherever stakes are high (sending external email, processing payment, talking to customers). The agent drafts; the human approves.
Do we need to replace our existing tools?
Almost never. The whole point is to layer agents on top of what you already use — HubSpot, Zoho, QuickBooks, Notion, Slack, Google Workspace, anything with an API.
What happens when the model gets it wrong?
Every action is logged and reversible. We build dashboards that flag confidence dips and we set retraining cadences. In year one we typically see <2% intervention rate after the first 30 days.