Building Autonomous Systems for Real-World Operations

An autonomous system for a digital product can often undo itself. A wrong setting is reversed. A bad recommendation is ignored. Real-world operations are less forgiving, because the output is not only a screen. It is a truck that was or was not sent, a gate that did or did not open, a pallet that moved, a payment that left, or a document a third party accepted. The design problem is how to let software act without becoming casual about those outcomes.

The notes that follow are an editorial standard for building. They are not a published investment policy of Logitech Ventures, and they are not a scoring rubric for a deal. They exist because the language of autonomy is ahead of the practice.

Begin with the exception log

Start from the exception log, not the happy path. The happy path is what the current software already diagrams. The exception log is the job: the cases a person handles because the systems do not agree or the world did not cooperate. A company that automates the happy path and throws every exception back to the same person has rebuilt the old queue. A company that studies fifty real exceptions and writes down how each one should end has started an operating design.

Tools, policy, and a record

Give the system tools that do work. Reading and summarizing is a prelude. If the system cannot request the document, write the status, book within the rules, or hold an invoice, it is still a copilot sitting beside the person who can. Tool use here is not a technical flourish. It is the difference between advice and an operation. The tools should be the ones the desk already trusts, or a thin layer over them, and every write should be attributable.

Write the policy the system is allowed to apply. Not a values statement. A policy: which cases it may close, what thresholds look like, what it must never do, and what forces an escalation. The policy will be wrong at the edges. That is a reason to version it and to keep a person able to change it, not a reason to leave behavior implicit inside a prompt that no operator can read.

Keep a record a customer, a counterparty, or an auditor can read later. Who acted, what they saw, what they did, and which policy allowed it. If the only record is a chain of model thoughts, the company does not have an operation. It has a story. Freight and industrial businesses already know how to argue from documents. An autonomous system has to produce a document that can survive that argument.

This is the action the system takes without a person, and this is the action it must not take.

Escalate on purpose

• Escalate early rather than invent confidence. A stop, with the context attached, is more valuable than a completed step that should have been refused.
• Count both errors: escalations that were necessary, and escalations that wasted a person’s time.
• Put a person on any loop where a silent error is physical or financial in a way the company cannot absorb. That is a design choice, not a temporary embarrassment.
• Widen scope only after the record supports it. A persuasive pilot is not a substitute for the record.

Founders who can show the exception log, the tools, the policy, and the record are building an operation. Founders who can show a conversation with a model are building a demo. Real-world industries still have room for the first of those. They have seen enough of the second. Logitech Ventures publishes this as an essay, not as a promise that any particular system on the market has cleared the bar, and not as a claim about any portfolio company’s internal workflows.