Agents Makers

Outcome cluster — move faster

AI agents that drive Move Faster.

Speed is the operating metric mid-market operators compete on. Faster approval cycles, faster collections, faster onboarding, faster incident response, faster hiring loops, faster forecast updates. Every cycle time that gets compressed frees a unit of your team's attention for the work only humans can do.

The role-based AI pattern is uniquely suited to this outcome. Unlike workflow automation (which speeds up a single linear path) or chatbots (which speed up a single interaction), a hireable role compresses cycle time across a whole category of work: the happy path AND the exception path, the routine AND the judgement-adjacent, the thing your team does daily AND the thing they do at month-end close.

The operating model in Move Faster.

  • Compress the cycle, not just the step

    Most automation speeds up one step of a process. AI roles compress the end-to-end cycle: intake → triage → action → follow-up → exception routing. The win is measured on cycle-time of the unit-of-work, not seconds saved on one click.

  • Continuous, not burst

    Human teams batch. They process tickets between meetings, reconcile at month-end, run recruiting cadences on a weekly calendar. AI roles run continuously — which means the backlog never accumulates in the way it does when a human is the bottleneck.

  • Exception routing is the accelerator

    The real cycle-time killer is the exception that sits in a queue waiting for someone to notice. AI roles escalate exceptions the moment they're detected, with full context attached — so the human who handles them starts from minute one, not from triage.

  • Measured on your existing dashboard

    Move Faster is an outcome your operations team already reports on. The role's KPI is read from your existing cycle-time dashboard, not a vendor report. No new measurement layer, no 'their numbers vs ours' reconciliation.

How it rolls out

The playbook a real Operating Partner runs.

  1. Phase 1

    Pick the cycle with the worst queue-wait

    The highest-leverage cycles are the ones where the work is routine but the handoff is slow: approval requests waiting for a reviewer, tickets waiting for triage, invoices waiting for coding. Pull the current cycle-time data for three candidates.

  2. Phase 2

    Baseline the current cycle-time distribution

    Median, p75, p95. The move-faster KPI targets the p75 and p95 (the tails), not just the average. If your p95 cycle-time is measured in days, that's where the value lives.

  3. Phase 3

    Scope the role around the full cycle

    Not just the automation — the whole cycle. Intake, triage, action, exception handling, escalation routing, follow-up. Write it in one diagram, sign it with the team that owns the cycle today.

  4. Phase 4

    Launch with continuous measurement

    Role goes live. Cycle-time is reported daily for the first 30 days. Weekly review of p75 + p95 movement. If the tail isn't compressing, the exception-handling policy tightens in writing.

  5. Phase 5

    90-day KPI review, expand to the next cycle

    Read the contracted cycle-time compression off your existing dashboard. If hit, scope the next cycle — usually one your operations lead has been wanting to clean up for two quarters.

Move Faster works when the role owns the full cycle, not just the automation step. Every role below is structured that way: a clear cycle, a clear KPI, a continuous measurement pattern that reads from the dashboard your team already checks.

Every role scoped to this outcome

11 roles

90-day operational guarantee. We agree on the outcome KPI before launch. If we haven't hit it by day 90, we keep working free until we do.

How it works →

Pick a role. Start deployment.

Every role in this view is hireable, governed, and anchored to the fully-loaded cost of the equivalent hire.