AUTOPILOT · AGENTIC ENGINEERING
Agents that assist are the start. Autopilot is what comes next: fully autonomous systems that sense what is happening, decide what to do, act in your systems and learn from every result, around the clock. Your people set the destination and handle the exceptions. The system flies the route.
AGENTIC ENGINEERING
A single agent answering questions is a feature. An autonomous system is an architecture: specialist agents coordinated by an orchestrator, connected to real systems, governed by policy and measured continuously. Our Anthropic-certified architects build all six layers.
Plans the work, hands each step to the right agent and tracks every case through to completion.
Each owns one job, such as reading documents, reconciling records or following up a supplier, and does it well.
Secure MCP connections to your ERP, CRM, email, data warehouse and APIs, so agents act in the systems you already run.
Shared state, case history and your policies, so every decision is made with the full picture.
Permissions, limits and policies enforced in code, with an audit trail of every action and the data behind it.
Continuous testing against real cases, live monitoring, and alerts the moment behaviour drifts.
THE AUTONOMY DIAL
Like aircraft autopilot, every level keeps a pilot in command. We move each workflow up the dial only as fast as the evidence allows, measured against one number.
Agents read, research and draft. People do the work.
Agents act on routine cases. People approve every action.
The system runs the workflow end to end. People approve exceptions and review samples.
The system runs continuously within policy. People set goals and limits, and take escalations.
WHERE AUTOPILOT PAYS OFF
Orders arriving by email, portal or EDI are read, checked against price lists, stock and credit, entered into the ERP and released for fulfilment. The system then invoices, sends reminders and applies payments as they land.
Agents watch demand and stock across every site, adjust buffers as patterns shift, raise purchase orders and transfers within contract limits, and chase suppliers the moment a delivery slips.
Transactions are matched every day, bank and intercompany balances reconciled, approved accruals posted and the management pack drafted, so month-end becomes a review rather than a rush.
Alerts and logs are triaged around the clock. The system diagnoses the likely cause, runs approved runbooks, rolls back failed changes and writes the incident report before anyone asks.
Transactions, vendors and contracts are screened continuously against policy and sanctions lists. Evidence is assembled as it happens, and filings are prepared well ahead of their deadlines.
Requests on every channel are resolved end to end within policy: refunds, rebookings, replacements and account changes. Anything else is escalated with the case already summarised.
BUILT TO BE TRUSTED
Agents can only take the actions you authorise, within the limits you set: amounts, counterparties, systems and hours.
Each decision is logged with what was done, why, and which data it relied on, ready for review or audit.
Approval thresholds, escalation paths and a kill switch. Autonomy can be dialled down instantly.
Every step up the autonomy dial is earned on evaluations against your real historical cases first.
HOW WE GET THERE
Autopilot is built on the same loop as every Launch Agents engagement, with the autonomy dial turned up over time.
Map the workflow end to end, find the constraint, and decide how far up the dial it can safely go.
Redesign the flow and put the system live at co-pilot or supervised autopilot, with guardrails and evaluations in place.
Track one number, widen the system's authority as it proves itself, and connect the next workflow to the loop.
QUESTIONS, ANSWERED
Go deeper: The autopilot organisation: how to think about autonomous agents
An autonomous business system is a set of coordinated AI agents that runs a workflow end to end: it senses new work, decides what to do, acts in your systems and learns from the outcome, while people set the limits and handle exceptions.
Agentic engineering is the discipline of designing, building and operating systems of AI agents. It covers orchestration, connections to business systems, memory, guardrails, evaluation and monitoring, so that agents can be trusted to act, not just answer.
It takes on the high-volume, repetitive work. Your people move to the exceptions, judgement calls, relationships and improvements that the system cannot handle, and they stay in command of how it operates.
Agents act only within permissions and limits enforced in code. Every action is logged, exceptions route to people, a kill switch is always available, and autonomy is increased only after evaluation on real cases.
The best candidates are high-volume workflows with clear policies, digital inputs and a measurable outcome, such as order processing, replenishment, reconciliation, IT operations, compliance screening and customer requests.