AI agent services and pricing

Three engagements. One controlled path. An Agent Reliability Review at $999finds the bottleneck and scopes the build. An Agent Implementation Sprint from $3,500 puts the first agent into production. The Fractional AI Officer retainer at $5,000 / month keeps it running and adds the next one.

The review fee is credited in full toward an Agent Implementation Sprint or the first month of a Fractional AI Officer retainer.

Each engagement is fixed-scope and priced before it starts. If scope changes during the work, it gets re-priced in writing before the work continues.

$999

Agent Reliability Review

Best for: Business owners who have already built or bought AI agents, workflows, or automations — and are not sure whether they still work.

Included

  • 45-minute working call with whoever owns the workflows
  • Diagnostic run against the four silent-failure modes (bad output on green status, dropped webhooks, stalled triggers, downstream data loss)
  • Per-workflow findings with evidence and blast-radius numbers
  • Remediation plan with hours-of-effort per fix
  • Monitoring posture recommendation so the next failure is caught before your customer notices
  • 30-minute review call

Outcome

A clear answer to "is what you already built actually working?" with a remediation plan and a monitoring posture.

From $3,500

Agent Implementation Sprint

Best for: Businesses ready to put one painful workflow into production, with testing, guardrails, and a documented handover.

Included

  • First-operator design
  • Agent and runtime configuration
  • Auth and integration setup
  • Testing with live examples
  • Guardrails and escalation paths
  • SOP and handoff notes
  • Training session

Outcome

One workflow becomes measurably faster and less owner-dependent, with a baseline to measure it against.

$5,000 / month

Fractional AI Officer

Best for: Teams that want the capacity of one junior engineering hire on AI operations, without the hire — roughly one junior FTE without the salary, benefits, or onboarding cost. We do AgentOps for firms that don't have engineers.

Included

  • One to two active requests at a time
  • Under-48-hour turnaround target
  • Monitoring and failure alerts
  • Maintenance and tuning
  • New workflow rollout
  • Customer-facing request queue
  • Async video updates
  • Continuous optimization

Outcome

AI adoption becomes a line in the operating budget with an owner attached, and a queue you can see into.

How do you measure the return on an AI agent?

Every operator ships with a baseline taken before it goes live, then a monthly report: volume handled, escalation rate, first-pass accuracy against sampled review, and cycle time against that starting baseline.

The audit sets the first baseline by estimating hours lost per week and what they cost. From the sprint onward, every claim about value traces to a number that existed before we touched anything.

The audit is the front door.

A bounded first step with a concrete deliverable, and the scoping document for everything that follows.