Three phases. Clear deliverables at each stage. You see results before you commit to a full engagement — and the Workforce Blueprint from Phase 1 is yours to keep, even if you don't proceed.
We map your workflows across departments, identify where AI employees deliver the highest ROI, and produce your Workforce Blueprint.
Your AI employees are built one at a time, trained on your data, connected to your tools, and piloted alongside your team.
Monthly performance reviews, prompt tuning, new skill additions, and new employee onboarding as your needs expand.
It starts with a 90-minute session where we map your workflows across departments. Not a sales call — a working session where our solutions architect walks through every process, every handoff, every bottleneck, and identifies exactly where AI employees will deliver the highest return.
Your team leads from 3–5 departments plus our solutions architect. We need the people who actually do the work, not just the people who manage it. The goal is to understand real workflows, not org charts.
We build your AI workforce one employee at a time, starting with the highest-value employee from your Blueprint. Each goes through a supervised pilot before full deployment. No big-bang launches — methodical, proven rollout.
Trained on your data, connected to your tools (Shopify, Gorgias, QuickBooks, Intercom, etc.), and ready for pilot.
The AI employee runs alongside your team. Every decision is reviewed by a human. Corrections are fed back to improve accuracy in real time.
Once you trust the output, the employee goes live. The second employee enters configuration while the first is already working.
The AI employee works in production with real data, but a human validates every output. If Maya recommends a reorder of 500 units, your ops manager sees it in Slack and approves, adjusts, or rejects it. Every correction teaches the employee — by the end of the pilot week, you trust the output because you've watched it get better every day.
We connect to your existing tools — Shopify, Gorgias, QuickBooks, Intercom, ShipStation, Slack, and more. Your team keeps working where they already work. AI employees appear as Slack apps, email senders, or dashboard widgets. No new logins, no migration.
AI employees aren't fire-and-forget. Your business changes, your workflows evolve, your tools update. The management retainer keeps your AI workforce in step and improving every month — because you wouldn't hire six new employees and never review their performance.
Every quarter we review the full AI team: what's working, what needs improvement, and where to expand next. We identify new workflow-automation opportunities and plan the next wave of AI employee deployment. Your workforce grows with your business.
Adding a new AI employee to an existing deployment takes days, not weeks. The infrastructure is already in place, the integrations are live, and the escalation logic is proven. A new employee is configured, piloted, and deployed within your existing Slack approval workflow.
Most AI agent implementations fall into one of three buckets. None of them are what we do.
You don't get a login and figure it out. We design, build, and deploy AI employees specifically for your workflows, your tools, your team's language. No drag-and-drop builders. No template agents.
We don't hand you a strategy deck and leave. We build the AI employees, deploy them into your tools, pilot them with your team, and manage them month over month. The Blueprint is step one, not the final deliverable.
These are proactive employees with defined roles, daily schedules, and judgment. They work whether or not a customer messages. Maya checks inventory at 6am. Priya reconciles your bank feed at 9am. They don't wait to be asked.
Start with a Workforce Discovery session. In 90 minutes, we'll map your workflows and show you exactly which AI employees would work for your business, complete with ROI estimates. The Blueprint is yours to keep.