How we train & deploy AI employees
A transparent look at the six phases that take a certified AI employee from idea to a managed, 24/7 member of your team.
- 1
Discovery & role scoping
We define the job the AI employee will hold: the tasks, the systems it touches, the KPIs, and the human escalation rules. Output: a role spec and success metrics.
- 2
Data & access mapping
We inventory the data sources, tools, and APIs the role needs, then wire secure, least-privilege connectors. Nothing runs blind.
- 3
Training & tooling
We train and tune the model on your domain, build the tools the agent can call, and author guardrails: approvals, logging, and rollback for risky actions.
- 4
Certification & oversight
Before going live the AI employee is certified against a test suite of real scenarios with a human reviewer. It ships with human-in-the-loop on by default.
- 5
Deployment & integration
We deploy into your environment (or ours), connect to your CRM/helpdesk/inbox, and run shadow mode side-by-side with your team for a controlled ramp.
- 6
Monthly management
Each month we review performance, retrain on new cases, tighten guardrails, and expand scope — so the employee gets better, not stale.
Want an AI employee on your team?
Book a 1-week AI feasibility sprint. We'll scope the role, map the data, and hand you a certified deployment plan.