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AI & Everyday Automation

Custom Model Training & Configuration

Training a model from scratch is rarely the first answer. Often the better route is good instructions, access to the right knowledge, useful tools and proper testing. We fine-tune only where the evidence says it is worthwhile.

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Model configuration

Test the task. Refine the result.

Classify incoming purchasing requests using the business’s own categories.

Illustrative evaluation · Version 02
Clear request
Matches the agreed category
Missing details
Asks for the required information
Unfamiliar request
Flagged for human review

Review the failed cases before releasing a new version.

Fictional example · illustrative interface, not a live system.

What changes

Make the everyday work easier.

We agree what a useful result looks like before the build starts.

Behaviour shaped around a real task

Measurable quality against agreed examples

A clear record of limits and failure cases

Inside the project

The right pieces, working together.

AI models configured and tested for a specific task in your business.

What we can build
  • Use-case and dataset assessment
  • Prompt and system configuration
  • Retrieval-augmented generation
  • Fine-tuning where evidence supports it
  • Test sets, evaluation and versioning
A sensible starting point

One clear job.
A version you can try.

We map the process, build the useful path and test it with the people who will use it. Access, approvals and support are agreed as part of the project.

Connected capabilities

Often useful alongside this.

01

AI Integration for Business

Practical AI fitted into real business work, with clear limits and a person still in charge.

AI Integration for Business
02

Document & Email Intelligence

Turn incoming emails and documents into organised information your team can check and use.

Document & Email Intelligence
03

Internal Knowledge Assistants

Let staff find answers across approved company information without losing the source.

Internal Knowledge Assistants

A useful fit

Does this sound familiar?

  • Specialist language or classification
  • High-volume repeatable tasks
  • Teams outgrowing generic prompting

Practical next steps

See where this fits.

01

You know AI matters—but not where

Look at the real processes, choose one sensible place to test it and agree what a useful result would look like.

You know AI matters—but not where

Start a conversation

Let’s make it work better.

Tell us what happens today and what you would like to improve. We’ll help you find a sensible starting point.

Talk to Rykai