People remain accountable
A person remains responsible for decisions and approvals, including when software or AI assists the work.
Start with the work people need to do. Use technology and AI where they make that work meaningfully better. We can help choose a change and carry out the agreed work.
We use these steps in proportion to the task. A specific support need or known project can be discussed directly, without an assessment or trial first.
Observe → Understand → Identify Friction → Design → Implement → Prove
Talk to the people doing the work. Look at their tools and records, what gets in the way and what they would like to improve.
Follow the work from start to finish: who handles it, what information they need and what a useful change would make possible.
Find where work stalls, gets repeated or goes wrong. Check the causes and opportunities to simplify it, and record what still needs an answer.
Compare process changes, existing tools and new options, including AI where it fits. Agree what to change, who will do it and how to check it.
Carry out the agreed work. A project may begin with a small trial before wider use. Test the change with the people who will use it and show them how to run it.
Compare the result with the starting point. Record the checks, open issues and who takes over. Use what the checks show to improve, expand or stop a trial.
A person remains responsible for decisions and approvals, including when software or AI assists the work.
Accounts, credentials and work products should remain client-owned or readily transferable where practical.
Important recommendations should trace back to what people told us, what records showed or what we tested.
Access should match the scope of the work and be removed, reduced, or handed back when it is no longer required.
Where possible, agree what to measure and record the starting point before making a change.
Write down the changes and instructions so others can use and support the result.
We carry out the work covered by our agreement and coordinate with your staff, existing providers or specialists where they need to be involved.
The agreed investigation or project, coordination, documentation and checks.
The business context, approvals and access, plus a person to take over the result.
The parts covered by their products, contracts or specialist expertise.
For an automation or AI idea, agree what the task should produce, who is responsible and how to check the output. The checks can show whether to improve, expand or stop the trial.
We first check whether a software setting or simpler process can do the job. The amount of testing should match the consequences of an error.
What task is being automated, and who owns the process?
What examples or rules will be used to test whether the output is good enough?
Which outputs need human review or approval?
What happens when the automation or AI is wrong or unavailable?
What measure will show whether it is helping after launch?
We document what changed, how to operate it and who looks after it. The handoff also records open issues and where to go for help.
The materials depend on the project. They may include code, settings, client-owned service accounts, operating instructions and contacts for support or a later transition.
Ongoing support can continue when it is useful and included in the agreement.
Tell us about the support you need, the project you have in mind or a decision you need help making about technology or AI.