AI Fit For Business

A practical approach

Make the work clearer.
Then improve it.

A good AI project starts with understanding your business. Explore our AI Kickstart package and practical support, with your specific scope agreed in writing before work begins.

Paid support · One-off AI setup

AI Kickstart

£1,000

A practical starting point for an assistant that supports the way you work.

This is the same AI Assistant Kickstart service offered by New Creations Digital, presented here for business owners and SME teams.

What the package includes

We start with discovery to agree the jobs and boundaries, configure the assistant, test the agreed workflows, then help you use and review its output. The written scope defines the workflows, training and follow-up for your project before work begins.

People stay in control. Training means configuration, context, instructions and practical coaching; it does not retrain the underlying AI model. Use approved information and minimum necessary permissions, review outputs before use and agree any connection separately. Capabilities depend on the product, account, settings and approved connections.

Additional support, separately quoted

Software subscriptions and chargeable software are separate. Additional team training, further workflows, ongoing workflow support and integrations are separately scoped and quoted. An integration is never implied by the package or connected through this website.

Clear scope before we start

Price in GBP. No VAT is added: New Creations Digital is not currently VAT registered. Your written quote confirms the scope, delivery dates and terms before work begins, including ownership and cancellation. There is no instant booking or payment here.

Email Jason at New Creations Digital to discuss AI Kickstart. Your email app opens so you can review and send your enquiry. The free readiness check can help you prepare; it does not submit a request or book a service.

A core service for owners and SME teams

Set up and train an AI assistant

Give your assistant a clear job. Give your team the confidence to guide it.

We help you choose a suitable AI assistant, configure it around the work you want help with, and teach you and your team how to use it, review its output and refine the approach. Start with useful support for everyday work, such as preparing updates or drafting replies, while people retain responsibility for decisions and commitments.

  1. Choose a suitable assistant. Compare your jobs, budget, data requirements and existing systems with the current capabilities and controls of suitable products. We agree the fit before proposing connections or access.
  2. Define its jobs and working instructions. Set out what it should help with, the approved context, preferred format, tone, workflows and when it should ask for clarification. Record what it must not do and who owns each task.
  3. Set privacy and permission boundaries. Decide what information may be used, which account is appropriate and who can access outputs. Start with synthetic examples and minimum necessary permissions. Any connections require separate approval; drafting does not imply permission to send, publish or change records.
  4. Test and refine together. Try representative and difficult examples, check the output against the source, record errors and refine the instructions. Keep a manual fallback and a named person who can pause the workflow.
  5. Coach the people using it. Practise giving useful briefs, checking facts and omissions, spotting uncertainty and deciding when to step in. Leave the team with practical working guidance and a review routine they can continue.
What we mean by training: configuring the assistant, writing instructions, developing workflows, practical client/team coaching and refining the setup through testing. This does not mean retraining the underlying AI model. Capabilities depend on the chosen product, account, settings and approved connections, and may change.

A sensible first scope

For example, set up an assistant to draft a weekly operations update from approved non-sensitive notes. Agree the headings and uncertainty rules, test invented examples and teach the owner to verify every fact before sharing. This is an illustrative workflow, not a client result or a promise of savings.

Before starting, agree the intended jobs, reviewer, data boundaries, permitted actions and the support or follow-up included. No live assistant or integration is connected through this website.

01 · DISCOVER

Understand the everyday friction

Walk through one process with the people doing it. Identify repeated effort, unclear handovers, exceptions and information constraints. The output is a prioritised opportunity brief.

See the brief →
02 · DESIGN

Choose a bounded pilot

Agree inputs, the intended output, a reviewer, access limits and a fallback. Decide what evidence would justify continuing. The output is a test plan, not an open-ended rollout.

Check the data →
03 · TEST

Review the evidence together

Try representative examples, record failures and count the full effort. Review whether quality and consistency hold up. Pause or change direction when the evidence is weak.

Use the review checklist →
04 · EMBED

Help people use it well

Document the approved workflow, train reviewers and set a date to revisit it. Broader access or integration needs its own assessment and agreed scope.

Plan team adoption →

What a useful first conversation covers

Do not include customer records, passwords, commercial secrets or employee details in an initial brief. Use a description of the process.

Talk through your next step

Business enquiries for AI Fit For Business are handled by Jason at New Creations Digital, the provider of our AI Kickstart service.

Email Jason about your business

Or copy this address into your email app: jason@newcreationsdigital.co.uk.

The link opens your email app; nothing is sent until you send it. Briefly describe the task and the help you need. Please leave out customer records, passwords and sensitive business information. An enquiry does not book a service or commit you to payment.

Prepare your next steps →

Questions worth asking

Do we need to replace our systems?

Start by understanding the current process. A useful pilot may involve no integration at all. Any system changes should follow a separate assessment of access, cost and operational risk.

How do we choose an AI product?

Use the task requirements to compare options: data controls, access management, output quality, review effort and total cost. Check current official documentation and terms; do not choose on a demonstration alone.

What if the pilot does not help?

That is a useful result. Record what failed and whether a clearer template, a process change or conventional automation would address the problem better.

Will AI replace our team?

The focus here is supporting people with repetitive drafting and organising work. People retain responsibility for decisions, customer commitments and the quality of final outputs.