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AI development and workflow automation

Useful pilots with clear ownership, review and measurement.

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UK · US · UAESTRATEGY · EXECUTION · MEASUREMENT
THE REAL QUESTION

Start with a repeated task that has accessible inputs and a result someone can judge. Agencies and IT service teams might prepare a client report, classify an enquiry or draft a support reply. The pilot should have a business owner and a baseline for time and quality. Avoid introducing a model merely because a demonstration looks impressive; predictable rules may solve the task more simply.

THE WAY WE BUILD

Build AI that earns its place. From prototype to useful work.

Designing helpful assistants, automation and AI products around real operations.

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USEFUL AI WORKSTRATEGY + EXECUTION
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PROJECT FOCUS

An AI workflow your team can actually use.

Product workflows, useful automation and human review.

PRODUCT THINKINGAI WORKFLOWS
01

Understand

Agree the challenge, user needs and priorities.

02

Make it real

Design, implement and validate what matters.

03

Keep improving

Measure what works and define the next move.

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Illustrative project visual. Actual scope and outcomes depend on discovery and agreed deliverables.

THE APPROACH

AI development and workflow automation

Useful pilots with clear ownership, review and measurement.

01 / SCOPE AND DELIVERY

Which business tasks suit an AI pilot?

Start with a repeated task that has accessible inputs and a result someone can judge. Agencies and IT service teams might prepare a client report, classify an enquiry or draft a support reply. The pilot should have a business owner and a baseline for time and quality. Avoid introducing a model merely because a demonstration looks impressive; predictable rules may solve the task more simply.

02 / SCOPE AND DELIVERY

What the first phase delivers

Discovery maps the existing process, approved information sources, permissions and exceptions. We agree one workflow, the expected output and the checks needed before it is used. A pilot can connect existing tools, prepare drafts or retrieve approved knowledge. It should be small enough to review meaningfully, with a documented decision about whether to improve, stop or expand after observing real use.

03 / SCOPE AND DELIVERY

Human review and operational control

Define which actions require a person’s approval and what the system can do independently. Keep business state in a reliable workflow or application rather than relying on a conversation to remember it. Failed steps need visible errors and a safe retry path. Staff should be able to identify the source of an answer, correct a mistake and stop the workflow when necessary.

04 / SCOPE AND DELIVERY

Integrations, access and data handling

Identify the systems involved, the access each connection needs and who owns it. Use appropriate credentials and limit access to the task. Discovery should cover retention, supplier arrangements and the organisation’s data requirements. We test with suitable sample information before production use. Higher-risk data or decisions may need additional specialist review and a different scope.

05 / SCOPE AND DELIVERY

How the pilot is measured and priced

Measure the manual baseline, review time, exceptions, corrections and ongoing maintenance. Generated text volume is not a business outcome. A scoped proposal separates discovery, implementation and support from software or model charges. Timing depends on access and integration feasibility. We confirm the deliverables and review decision before treating the pilot as a wider automation programme.

06 / SCOPE AND DELIVERY

A practical example and next step

An IT service firm could receive a support request, retrieve approved documentation and prepare a reply for an engineer. The engineer confirms accuracy before it is sent. This is an illustrative workflow, not a reported client result. Share the repeated task, current tools, volume and the person who would review output; we can discuss whether an AI pilot is an appropriate investment.

Frequently asked questions

Which task should we automate first?

Choose a repeated task with approved inputs, detectable errors and a person who can judge the output. Preparing a report or drafting a response can be easier to evaluate than autonomous customer or financial decisions.

Will the AI send messages automatically?

Only if that action is explicitly included and authorised in the agreed workflow. A first pilot can keep drafts behind staff approval while quality and exception handling are assessed.

Can you connect our existing tools?

We assess their supported APIs, permissions and practical limitations during discovery. Some integrations are straightforward; others require additional development or may not support the requested workflow.

How will we know the pilot worked?

Measure time spent before and after, including review, corrections and maintenance. Assess output quality and exceptions alongside time saved, then decide whether to expand the scope.

What ongoing costs should we expect?

The proposal should separate implementation from workflow hosting, third-party subscriptions, model usage and support. Actual costs depend on volume and the services required.

AI automation pilots for agenciesRelated practical guidance↗How to scope an MVP appRelated practical guidance↗AI automation pilot programmeRelated practical guidance↗

YOUR NEXT MOVE

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Start with the scope.

Bring us your business challenge, and we will help you define the next meaningful move.

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