AI integration
Practical AI, built into your business.
We embed language models and automation into the software, workflows and websites you already use — starting with a discovery phase that ends in a working prototype.
- UK-based, GDPR-compliant
- Reply within two working days
- Somerset · delivering UK-wide
Trusted by established UK businesses
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What it delivers
What AI integration actually means.
No hype. Three practical jobs AI does well when it is connected properly to your systems.
It reads
Documents, emails and forms are turned into structured data your systems can use.
It answers
Assistants answer questions using your own policies, manuals and records — citing the source.
It acts
Automations draft, route and update records, with a person approving anything that matters.
In plain English: we connect a language model to your own systems and data, with rules, review steps and an audit trail — so it does useful, checkable work rather than guessing.
Use cases
Four places AI pays for itself.
Common starting points for established businesses. Outcomes shown are placeholders.
Document processing
Invoices, contracts and forms read and keyed into your systems automatically.
Outcome[X] hours of manual entry removed each week
Internal assistants
Staff ask questions of policies, manuals and past jobs in plain English.
OutcomeAnswers in seconds, with the source cited
Enquiry handling
Incoming enquiries triaged, drafted and routed to the right person.
Outcome[X]% faster first response to customers
Content pipelines
Product descriptions, reports and listings drafted from your data for review.
Outcome[X]× more output without extra headcount
Discovery phase
Prove the value before you commit.
Every AI engagement starts with a discovery phase, scoped and priced to the features you need. It ends with something working, not a slide deck.
- Typical length
- [X] weeks
- Priced from
- £[X]
- Ends with
- Prototype + roadmap
Week 1 · [placeholder]
Workshops & data review
We map the process, the data and what a good result looks like.
Week 2 · [placeholder]
Prototype build
We build a working prototype against a sample of your real data.
Week 3 · [placeholder]
Test with your team
Your people use it; we measure accuracy, time saved and edge cases.
Week 4 · [placeholder]
Roadmap & recommendation
A costed plan to go live — or a clear recommendation not to proceed.
You receive
- A working prototype using your data
- A written roadmap with costs and timescales
- An ROI estimate you can take to the board
- A data-protection and risk assessment
Data privacy & UK GDPR
Your data stays under control.
AI only works in business if it is safe, lawful and explainable. These safeguards are standard on every project.
UK and EU data residency
Processing in UK or EU regions wherever the provider supports it. [Confirm per provider]
Never used for training
We use business API terms under which your data is not used to train models.
DPIA support
We help you complete a data protection impact assessment before go-live.
Access control & audit logs
Role-based access, with every prompt and action logged for review.
Human in the loop
People approve consequential decisions; the system drafts and recommends.
Data processing agreement
A UK GDPR-compliant DPA is part of every AI engagement as standard.
Support included
We stay with you after launch.
Everything we deliver can be covered by a support agreement with defined response times, proactive updates and monthly reporting.
FAQ
Frequently asked questions
Straight answers to the questions we are asked most often.
Do we need our own data scientists?
No. We handle the technical work and explain it in plain English. You provide knowledge of your process and access to sample data.
Is our data used to train AI models?
No. We use business API agreements under which your data is not used for training, and we document where it is processed.
What if the prototype doesn’t prove its value?
You keep the prototype, findings and roadmap. There is no obligation to proceed, and we will tell you plainly if it isn’t worth it.
Which AI models do you use?
We choose the model for each job — including options from [Provider A], [Provider B] and open-source models — based on accuracy, cost and data location.
How do you stop the AI making mistakes?
We ground answers in your data, test against real examples, add validation rules and keep a person in the loop for important decisions.
Start with a discovery phase.
Tell us about the process you would like to improve. We will reply within two working days with a view on whether AI is the right fit.
Our team reviews every enquiry and replies within two working days.