We replace your call center, your dispatch operation, and your back-office admin stack.
FleetBrain runs governed AI agent fleets inside the operation you already run at scale — least-privilege, human-gated, built for owners who've been burned by AI vendors that don't understand operations this size.
Three functions, one governed fleet.
Each agent runs a defined set of tasks inside the function it belongs to. Nothing broad, nothing standing.
Customer intake
- Answer inbound customer inquiries
- Schedule and reschedule appointments
- Draft customer follow-up emails
- Triage and route urgent calls
Job coordination
- Sequence and assign jobs across locations
- Compare vendors and parts pricing
- Pull live market research for quotes
- Coordinate technician schedules
Financial and records
- Run financial analysis and reconciliation
- Generate quotes, invoices, and documents
- Flag accounting and billing gaps
- Maintain an audit-ready record
Governed by three rules.
Harness over model
The model is replaceable. The harness — permissions, guardrails, the audit trail — is what we build, and what you're actually buying.
Least privilege
Every agent gets the smallest set of permissions it needs for the task in front of it. Nothing standing, nothing broad.
Human-in-the-loop, tiered by reversibility and blast radius
How much say you get scales with how hard an action is to undo, and how far its consequences reach.
Human oversight is the architecture. Not a feature.
Review scales with reversibility: low-stakes actions run, higher-stakes actions surface for review, irreversible actions wait for your confirmation. Agents run in isolated VMs, credentials encrypted, actions logged with timestamps. Regulated data — clinical notes, financial records, PHI — is flagged before processing. Architected for SOC 2, HIPAA, and NERC CIP compliance paths.
What a governed fleet does for an operation like yours.
Every call answered
After-hours, overflow, holidays. Jobs get booked while your crews are on-site instead of going to voicemail.
Fewer things slip
Missed follow-ups, scheduling conflicts, and billing gaps surface before they cost you.
You stay in control
Higher-stakes actions wait for your sign-off. When something's wrong, the correction sticks.
Early on we're taking a limited number of operations, so every deployment gets real attention.
Deploy. Work. Review. Compound.
Deploy
We set up an AI agent for your operation. It inherits corrections from prior deployments — hundreds of behavioral refinements on day one.
Work
Your agent handles research, email, scheduling, vendor comparison, financial analysis, document generation. Whatever the operation needs — and not only during business hours.
Review
Higher-stakes actions surface for human review before they go out. When something's wrong, the correction is captured and carried forward, so the agent stops repeating it.
Compound
A fix in one deployment can improve others in the network — not just yours. The correction library grows over time, and the improvements compound across the fleet.
Most AI tools reset every conversation. FleetBrain agents accumulate. Corrections persist, and compound across the fleet.
From the individual operator to mid-sized operations.
Start with Stan
One operator. One truck, or a single location. Stan is the packaged agent — a governed fleet you don't have to build. He runs intake, scheduling, and admin, and arrives already trained on 500+ correction cycles.
Meet Stan →Deploy a managed fleet
Multiple locations. A real call center, a dispatch desk, a back office. We design, deploy, and manage a custom governed fleet across the whole operation — least-privilege, human-gated, monitored by us.
See how we engage →Meet Stan.
StanleyBot is FleetBrain's packaged agent — a managed, governed assistant for the individual operator. He inherits corrections from prior deployments, so he's capable on day one, and higher-stakes actions are gated for human review before they ship.
Visit StanleyBotManaged. Governed. Capable on day one.
- Inherits prior correction cycles
- Human review on higher-stakes actions
- Managed and monitored by FleetBrain
- Built for the individual operator
Custom-scoped. No packages.
For mid-sized, multi-location operations, we design, deploy, and manage the fleet with you. Every engagement is scoped to the operation in front of us.
Assessment
We evaluate your workflows and identify where AI agents create real leverage. Not every problem needs AI — we'll tell you which ones do and which ones don't.
Deployment
We design, configure, and deploy AI agent systems tailored to your operations. Multi-agent architectures, custom integrations, structured human oversight built in from day one.
Managed Operations
We don't hand you a tool and walk away. FleetBrain stays in the loop — monitoring, correcting, and improving your agents as your business evolves.
Every engagement is scoped to the operation in front of us. Talk to us about yours.
13+ years in enterprise technology sales and solutions architecture at Red Hat, Kiewit, and Burns & McDonnell — years inside operations at scale, seeing where the work breaks and where software over-promises.
The insight that became FleetBrain: AI agents become valuable through accumulated corrections, not initial configuration.
Run your operation on a fleet you can govern.
Tell us what your call center, dispatch, and back office actually do all day. We'll tell you what a governed fleet replaces. We're onboarding operators now, and we take on a limited number of operations at a time.
Talk to us