~88%
of enterprise agent pilots never reach production
Industry surveys through 2026
Fleet operations for the enterprise
We deploy fleets of agents that survive contact with production.
Most enterprise agent projects die somewhere between the demo and the deployment. Agentic Navy charts, commissions and crews fleets of AI agents that keep working inside your systems, under your governance, long after the pilot budget is spent. Every station has a named owner. So does every result.
Many agents. One heading.
The deployment gap
The hard part was never the model.
Agent capability stopped being the bottleneck some time ago. What still kills projects is everything around the agent: integration with systems that were never designed to be driven, evaluation criteria nobody wrote down, governance bolted on late, and no named owner once the launch team moves on.
74%
of enterprises rolled back or shut down a customer-facing agent after launch
Sinch, AI Production Paradox, 2026
31%
of AI use cases reached full production in 2025
ISG, State of Enterprise AI Adoption
Every one of these is an operating failure, not an intelligence failure. A fleet that nobody commands, crews or maintains does not stay at sea.
What we actually sell
Anyone can build an agent. The question is who answers for it.
Building agents gets cheaper every quarter. Being accountable for what they do does not. We sell the layer almost nobody sells, and it is the only part of this work we will never hand to someone else.
01
The gate
Nothing joins the fleet until it clears a written evaluation threshold against production-shaped data. The threshold is agreed with you before we build, not defended after.
02
The warranty
If a station we commissioned drifts out of spec inside its refit warranty, we refit it at our cost. Work done badly becomes our problem, which is the only incentive that reliably produces work done well.
03
The name
One principal signs the architecture, the gate and the outcome. How the delivery team is composed is our decision and our risk. Who answers for the result is never in question.
The fleet board
If it is not on the board, it is not in the fleet.
Every agent we deploy has a station, a class, a watch, a named owner and written standing orders. One surface shows you what the whole fleet is doing right now, what it decided, and what is waiting on a human.
| Station | Assignment | Class | Watch | State |
|---|---|---|---|---|
| INV-REC-01 | Invoice reconciliation | Reconciliation | Continuous | On station |
| SUP-SWP-04 | Supplier risk sweep | Survey | Nightly | On station |
| TKT-TRI-02 | Tier-1 ticket triage | Response | Continuous | Human on the loop |
| CTR-REV-07 | Contract review queue | Review | Business hours | Running |
| PRC-AUD-03 | Pricing exception audit | Audit | Weekly | In review |
| BRG-000 | Bridge | Bridge | Continuous | On station |
Autonomy is a setting, not a philosophy. Each station is commissioned with the level of human involvement its stakes deserve — fully autonomous for repeatable low-risk work, human on the loop wherever a wrong call is expensive to unwind.
Deployment
Four phases, in order, every time.
We run the same sequence whether the fleet is two stations or twenty. Skipping a phase is how projects end up in the numbers above.
Survey
A paid, fixed-scope chart of one business area before anything sails: where the work actually sits, which processes can carry a station, and what your data will realistically support. You get the map, including the parts that should stay human. The fee credits in full against commissioning.
Commissioning
Each agent is built for one station. Written standing orders, an evaluation threshold it has to clear, an audit trail, and a named owner on your side before it ever runs.
Sea trials
Stations run against production-shaped data and the edge cases a demo never shows. Nothing joins the fleet until it holds course under real load and dirty inputs. This is the gate, and it applies to everything we deliver regardless of who built it.
Station keeping
Observability, drift checks, cost ceilings, incident response and clean retirement. Fleets are operated, not launched. This is the phase most projects never budget for, and the reason most of them end.
Fleet composition
Five classes of agent. One bridge.
Specialised stations beat one large generalist. Each class is built for a narrow job it can be evaluated on, and a bridge agent routes work between them.
Survey
Read, gather, classify. Watch the systems you already run and surface what changed, before someone has to ask.
Reconciliation
Match records across systems that were never designed to agree, and escalate only the exceptions worth a human.
Response
Draft, reply and resolve inside your existing queues, with a human on the loop wherever the stakes require one.
Audit
Check the work of other agents and of people, on a schedule, against written policy rather than vibes.
Bridge
Orchestrate the rest. Route work, hold state across long-running tasks, and escalate when the fleet hits something it should not decide alone.
Where we go deepest
Exception triage on document-heavy work.
We are deliberately narrow. The work we know best arrives dirty, incomplete or outside policy, and today it is resolved by a person reading, deciding and writing it down — under audit exposure, with a result measurable per case. Insurance claims, logistics documentation exceptions, back-office reconciliation and academic records management look like different industries and fail in exactly the same ways. That is where our station classes and our evaluation corpus run deepest.
We take work outside that class. We price the learning honestly instead of pretending it is not there.
Pricing
We publish the shape of the invoice, not a number.
Every engagement is scoped, so the number is a conversation. The structure is not, and you should know it before the first call.
- Survey
- Fixed fee, fixed scope, fixed end date. Credited in full against the commissioning that follows, if there is one.
- Commissioning
- Fixed price per station, with a refit warranty on everything we commission.
- Station keeping
- Monthly per station, by watch level. Quoted with every commissioning. You can decline it, and we will tell you in writing what that means.
- Advisory
- Fixed-price phases, agreed before each phase starts.
No hourly billing. No open-ended discovery. No platform licence with our name on it.
Advisory
Not every problem is a fleet problem.
Fit
Who this is for, and who it is not.
We work well with
Operations, transformation and technology leaders in organisations with document-heavy work, standing exception queues, compliance exposure and results measurable per case. Usually with one failed deployment already behind them, and a technical evaluator whose first question is about auditability.
We are the wrong call for
Website chatbots. Buyers who want a self-service platform and a login. Organisations whose data cannot carry the work — the Survey exists to say so early and in writing. And "put some AI in it, the board asked", with no process owner and no sponsor behind it.
Standing Orders
We write down how we work, and we sign it.
Who runs this
One principal, and a bench behind him.
Agentic Navy is led by {{PRINCIPAL_NAME}}, AI Solutions Architect and Principal Consultant. He runs the Survey, sets the architecture, holds the evaluation gate and signs the warranty on every engagement. Delivery capacity is composed per engagement from our own harness and a qualified bench, so the size of the fleet is a decision about quality and not about one calendar.
Get started
Bring us a problem, not a use case.
We start with a Survey of a single business area. You get a chart of where stations can carry real load, what each one would cost to run, an evaluation plan, and an honest list of the work that should stay with your people. The fee credits against whatever comes next, including nothing.
We reply to every Survey request, including the ones we decline.