Discovery & strategy
Find the AI opportunity worth investing in
Work out where AI and automation would actually pay off in your business, and where they would not, before anyone writes a workflow.
Who it is for: Owners and managers who can see that something should be automated but not which thing, or what it would cost to be wrong.
What the project covers
What we can scope together
Work out where AI and automation would actually pay off in your business, and where they would not, before anyone writes a workflow.
- Workflow and process discovery, mapping what actually happens rather than what the process document says
- An Automation Review of one process with a written plan and costed options
- Feasibility and data-readiness assessment
- A time-saving and cost model with the assumptions written down
- A prototype or proof of concept where the answer is genuinely uncertain
- Risk, privacy and human-review design
- Team training and adoption support
Boundaries and human review
Agree representative examples, acceptance criteria and exception handling. Review failed or uncertain actions before extending the scope, with clear ownership and operating guidance.
Extensions and project dependencies
Data volume, access requirements, integrations, security needs and the deployment environment determine the final scope and price.
We identify subscriptions, hosting, data preparation and model usage for the proposed scope. These costs are separate from implementation and are explained before work starts.
From conversation to handover.
01
Map the work
We sit with the people who do the process and record the real steps, including the exceptions everyone works around.
02
Size the opportunity
Each candidate gets an estimate of volume, time spent, error cost and how much of it could sensibly be automated.
03
Rank and rule out
Some things are not worth automating. Saying so early is most of the value of a discovery engagement.
04
Write the roadmap
A shortlist with what each build involves, what it would cost, and what has to stay under human control.
Your implementation runs on accounts you control. Handover includes documentation and agreed acceptance checks; purchasing ongoing care is optional.
Related possibilities
Broader examples from our opportunity catalogue; quoted separately where they extend the starter.
Business intelligence assistant
Ask a question about your own numbers in plain English and get an answer you can check.
Explore the engineering
Related in-house systems, with their own scope, evaluation and limitations. These are not customer outcome claims.
- Working in-house systemProduct engineering and integration
From business questions to a practical AI shortlist.
The AI Opportunity Snapshot helps a business explore where AI could be useful. A responsive assessment turns structured answers into a prioritised report. Behind it, connected intake handles report delivery and internal email notifications, bringing the customer experience and business operations together.
Your choice after handover
Optional care · From £100/month
One monthly health check and up to 30 minutes of minor fixes or changes. Unused time does not roll over. Response within two business days; this is not a resolution guarantee or continuous monitoring. Larger work, software and usage charges are additional.
You can operate the system yourself or agree a different support scope. Provider accounts and running costs remain separate.
Your questions
- Can we start with the free Snapshot instead?
- The free call is a good starting point for a project conversation. If you prefer to explore independently, the AI Opportunity Snapshot asks about your business and returns a prioritised set of opportunities using the same catalogue this page draws from. A discovery engagement goes further: it looks at your actual processes and data rather than your answers to a questionnaire.
- What if the answer is that we should not automate anything?
- Then that is the finding, and it is a cheaper one to receive at the discovery stage than after a build. A process that is unstable, low-volume or about to change is usually not a good first automation.
Talk through your process.
Tell us what happens today, which tools you use and what you want to improve. Art will review your enquiry and suggest a useful next step.