Services

Advisory

Consulting

Advice for leadership teams on what to build, what to buy and what not to automate yet.

Overview

Most AI programmes stall for reasons that have little to do with models. The data only exists as a nightly export, nobody has written down what the system may decide, or no one can explain a decision once it is challenged. Consulting helps leadership teams find those gaps before they commit budget to a build.

Every engagement starts with an audit. It asks four questions, none of them about AI: where the data originates, what decisions are made and on what evidence, where the operation fails today, and what must be reconstructable if a decision is challenged. The answers are delivered as a document you own and are free to take to another builder.

Some audits conclude that the right first move is not an AI system, and when that is the answer we say so. When it is not, we help leadership decide what to build, what to buy, how to govern it and which engagement fits: a fixed-scope build or an embedded team of Opsian engineers acting as your AI function.

Capabilities

AI strategy and architecture

A plan for where AI will change the operation, built on canonical identity, live state, bounded decisions and a reconstructable audit trail.

Build or buy decisions

An independent view on what to build and what to buy, favouring off-the-shelf products where they fit and custom work only where it sets you apart.

Governance and risk

Policies for what AI systems may decide on their own, when a person must approve, and how every decision is recorded and reviewed.

Executive workshops

Working sessions that give leadership a shared, plain-language understanding of what AI can and cannot do in their operation.

Engagement scoping

Audit findings turned into a fixed-scope build or an embedded team, with scope, milestones and handover defined before work starts.

Technical detail

Industries

Questions

Do we have to hire Opsian to build what the audit recommends?
No. The audit is delivered as a document you own and are free to take to another builder.
What if AI is not the right answer?
Then the audit says so. The right first move is sometimes fixing data, process or ownership rather than building an AI system.
How is the work structured?
It starts with an audit. From its findings, an organisation can commission a fixed-scope build, bring in an embedded team of Opsian engineers, or stop there.
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