Services
AI Solutions
Practical uses of AI for real work, chosen for your situation and set up with clear rules about data and review.
Past the hype, into the actual work
Most organizations are being told they must "use AI" without being told what for. The result is either a subscription nobody opens, or staff quietly pasting sensitive information into tools nobody approved.
We start from the work instead: the tasks that take the longest, the documents people rewrite from scratch, the questions answered the same way every week. Then we look at whether an AI tool genuinely helps, and say so when it does not.
Where AI tends to earn its keep
Drafting and summarizing
First drafts of routine documents, and summaries of long ones, reviewed by a person before anything goes out.
Answering internal questions
An assistant that answers staff questions from your own documents, so the answer matches your policy.
Sorting and routing
Incoming email, forms and requests categorized and sent to the right person automatically.
Getting data out of documents
Pulling figures and details out of invoices, forms and PDFs into a spreadsheet or system.
Rules for safe use
A short written policy your staff can follow: what may be entered, what may not, and who checks the output.
Training for your team
Practical sessions using your own tasks, so people learn where these tools help and where they mislead.
How we approach it
Find the task
We look for work that is repetitive, text-heavy and time-consuming. Not every task qualifies.
Check the risk
What data is involved, who may see it, and what happens if the output is wrong.
Try it small
A limited trial with real work and a measure of whether it actually saved time.
Roll out or stop
If it works, we set it up properly and train your team. If it does not, we say so and stop.
Example engagements
Illustrations of the kind of work this service covers, not descriptions of past clients.
Example
Answering repeat questions
A team answering the same policy questions by email every week. An assistant drafts answers from the current policy documents, and a person approves each one before it is sent.
Example
Getting figures out of invoices
Invoices arriving as PDFs and being retyped into a spreadsheet. The details are extracted automatically, with anything unclear flagged for a human to check.
Common questions
Will our data be used to train someone else’s AI model?
That depends on the tool and the plan, and it is one of the first things we check. Where it matters, we choose options that contractually exclude your data from training, and we tell you what each option involves.
Do we need AI at all?
Often not. Plenty of problems are better solved by fixing a process or automating a step with ordinary software. We will tell you when that is the case.
Will this replace our staff?
Our work focuses on removing repetitive tasks, not people. The output of these tools still needs someone accountable to review it.
How do you keep it accessible?
Anything we set up gets checked with a keyboard and a screen reader before your team uses it. An efficiency gain that locks out a disabled colleague is not a gain.
Other services
Technical Support
Responsive help desk and on-site support that keeps your people working.
IT Consulting
Straight advice on systems, security and technology planning, in language you can act on.
Automation
Remove repetitive manual work by connecting the tools you already use.
Assistive Technology
Assistive technology deployed, configured and taught, so every employee and customer can do their work.
Start with one task, not a strategy
Tell us the job that eats the most time each week. We will tell you honestly whether AI is the right tool for it.