How it works

From busywork to leverage.

We deploy AI employees that do real work inside your tools — with guardrails, audit logs, and human-in-the-loop approvals where needed.

Process

Three steps to a digital team.

Clear outcomes first, automation second.

Map your workflows

We identify the highest-leverage tasks (the ones burning time or dropping revenue) and define success metrics.

Deploy your AI employees

We configure skills, connect your tools, and implement least‑privilege permissions with approval gates.

Launch, monitor, improve

You get audit logs, escalation rules, and iteration cycles so quality stays high and output improves over time.

Timeline

Week 1

Discovery + workflow design

Map tasks, define guardrails, confirm integrations, agree on success metrics.

Weeks 2–3

Build + integrate

Configure skills, connect tools, implement approvals and escalation rules.

Week 4+

Launch + optimize

Monitor outputs, review logs, tune playbooks, and expand coverage to new workflows.

Security

AI employees should be useful — and controllable.

Least privilege

We only grant the minimum permissions needed for the workflow.

Approvals

Sensitive actions (refunds, payments, pricing) require explicit human approval.

Audit logs

Every action is logged. You can review what happened and why.

Escalation

Edge cases and high‑risk requests are escalated with a clean summary and next steps.

Typical results

Typical launch

2–4 weeks

Depends on integrations and workflow complexity.

Coverage

24/7

Support and follow-ups don’t stop after hours.

Time saved

20–60h/wk

From removing repetitive tasks across roles.

We’ll map your workflows and show you what your AI employees will do first.