We look for high-volume workflows with judgment, exceptions, and handoffs. If the work can be mapped, governed, and measured, agents can run it. These are the six categories where we deploy most often.
The wedge is one painful workflow, not a whole-company program. We look for four signals. Volume high enough that small time savings compound. Rules that a person could write down if asked. Exceptions that follow patterns rather than pure improvisation. And a clear owner who will tell us when the output is wrong.
Work that fails those tests is work we say no to. We turn down projects when we cannot name the workflow that will measurably improve. That is not modesty. Agents deployed into work nobody can define are how AI-first efforts stall.
Every deployment below follows the same shape: mapped workflow, exception playbook, agent team, company brain, scored output, and an operation we run. The domain changes. The method does not.
Lead follow-up, CRM hygiene, quote generation, pipeline reporting, renewal chasing.
Read the detailTicket triage, support escalations, onboarding sequences, churn-risk follow-up.
Read the detailContract intake, invoice processing, proposal drafting, compliance paperwork.
Read the detailReconciliation, exception review, collections follow-up, expense processing.
Read the detailBoard reporting, KPI rollups, competitor monitoring, exec briefings that write themselves.
Read the detailCandidate screening, interview scheduling, onboarding checklists, policy Q&A.
Read the detailA single agent pilot is $15,000 to build and $2,500 per month to operate. A full agent system for a department is $35,000 to build and $6,500 per month to operate. Enterprise deployments are quoted. Full detail is on the pricing page.
Everything starts with the two-week AI-First Scan. The scan stands alone, with no obligation to continue.
Two-week AI-First Scan. A ranked opportunity map. A deployed system your team does not have to babysit.