AI Implementation
Practical AI for real problems: website and staff assistants, AI agents, document processing, workflow automation and RAG assistants that answer from your own documents. Built on solid data foundations, with your team approving key steps.
What We Offer
AI Assistants
Website and staff assistants that answer common questions, guide people to the right form or service, and hand anything personal or sensitive to a person.
AI Agents
AI that carries out multi-step tasks across your tools, such as triaging an inbox, preparing reports or chasing outstanding items, with a person approving anything that matters.
Document Processing
Automate the reading, sorting, and extraction of information from invoices, forms, emails, and reports.
Workflow Automation
Remove repetitive manual steps by connecting AI into the tools your team already uses.
RAG Assistants
An assistant that has read all your documents (policies, contracts, product specs, past proposals) and answers questions in plain English, with sources. Your team stops digging through folders.
Custom Integrations
Practical AI built into your systems to solve a specific, named business problem, not a demo that goes nowhere.
Why It Matters
Most AI pilots fail because they are built on messy data or solve a problem nobody actually had. We build on solid foundations and start from a real business problem, so the result earns its keep instead of gathering dust.
Additional Benefits
Everything we build is documented and handed over properly. You own it. If you want us to keep running and improving it, that sits under Managed Services rather than locking you in.
How an AI project works
We start from one named problem and put a person in charge of anything that matters. An illustrative example, reading supplier invoices:
Illustrative example: Example Bakery Ltd
- Step 4.1
Name the problem
One specific job, agreed up front, not a demo looking for a use.
- Supplier invoices typed in by handNeeds attention: The job to fix
- A general chatbotRemoved: Not needed
- Step 4.2
The AI reads the documents
It pulls the supplier, reference, date and amount from each invoice.
- Riverside Mill, INV-1043Checked: Read
- Dale Packaging, DP-5520Checked: Read
- Wharf Electric, WE-0918Needs attention: Unclear scan
- Step 4.3
A person approves
Anything unclear or unusual goes to a named person before it is used.
- Unclear scanChecked: Checked by Sam
- Changed bank detailsNeeds attention: Held until verified
- Step 4.4
Into your systems
Approved invoices go straight into the accounts, with the source kept.
- 3 invoicesChecked: Posted to the accounts
- Original documentChecked: Linked to each entry
No more re-keying
Invoices reach the accounts without typing, and a person signs off anything unusual.
See exactly where your data stands, before you spend a penny on AI
Most AI projects fail because the data underneath was never ready. The Data Foundations Audit tells you the truth about yours: what's working, what's blocking AI, and what to fix first. Fixed price, two to four weeks, and the roadmap is yours to keep. Fill in the form and we'll come back within one working day.
- A roadmap, not a sales pitch. Clear priorities and rough costs, in plain English.
- No lock-in, no jargon. If you're not ready for AI, we'll tell you straight.
- Fixed price agreed upfront. No open-ended day rates.