Using AI to fix business problems
Start with the problem, not the tool. DBHQ works out whether AI is the right fix, builds it into the systems you already run, and hands it over. Daniel Grimes leads the work.
- Starts from the problem
- Built into your own systems
- Handed over to your team
Each of these is a situation, not a product. The first question is always whether AI is the right fix.
- Manual work that should not be manualRe-keying, copying between systems and chasing approvals by hand.
- Documents and email nobody has time to readSorting, summarising and first drafts, with a person checking what goes out.
- Reports that take days to assembleThe same figures pulled from several places, every month.
- Staff already using AI with no rulesUnapproved tools on company data, because there is no approved way to do it.
- A pilot that never reached productionIt worked in the demo, then stalled at the systems, the data or the sign-off.
- Data that nobody trustsAnswers differ by system, so nothing can safely be automated on top.
The same three engagements, entered by whichever of these is true.
- The problem is clearOne outcome, built into your systems, shipped to production and handed over.
- Open questions stop it being quotedThe agreed questions answered with evidence, before anything is quoted.
- It needs steady technical directionSenior leadership on agreed days each month, including the AI decisions.
Stated up front, because it is what makes the rest believable.
- Promise a resultNo saving, productivity gain or return is quoted, because none can be known before the work.
- Run training or change programmesTraining decides whether a tool gets used. It is separate work, and it is not part of this.
- Give legal adviceUK GDPR, the ICO's AI code and the EU AI Act are still moving. DBHQ reports engineering findings and leaves legal decisions to your lawyer.
- Sell a toolThe work is model- and vendor-independent, and DBHQ takes no commission from any supplier.
- Do I need an AI strategy first?
- No. Start with the problem you have. If it is clear enough to quote, it is a Production Delivery Sprint. If open questions stop it being quoted, a Delivery Definition answers them first. A strategy document is not a step.
- Which tools and models does DBHQ use?
- Whichever fits the problem and your estate. The work is model- and vendor-independent, and DBHQ takes no commission from any supplier.
- What about staff who already use AI tools?
- It is common and it is fixable. Staff use unapproved tools on company data because no approved option exists. The fix can be one bounded release: an approved AI workspace live for a named group, with access limited to agreed data and a short written rule for staff. It is a Sprint shape, and the rule is an operating note, not legal advice.
- How is AI used inside the work?
- AI agents carry the execution, and Daniel Grimes owns the decisions, the risk and the client relationship. A person reviews everything before it ships.
- How do I know it will work?
- Nothing is promised in advance. Scope, acceptance criteria and a warranty on what ships are agreed in writing before work starts, so done is defined on day one.
Fifteen minutes will tell you if this fits
Bring the problem - the stalled pilot, the systems that do not talk, the manual process eating your team. You will get a straight answer on whether it is sprint-shaped, roughly what it would cost, and when it could be running.
I reply within 24 hours