Eight services across four stages, each written against a problem practices actually have. Most firms begin with an assessment and work through in sequence; every service is available on its own.
A structured look at your systems, workflows, data and team, and a written report ranking where AI would save the most time.
You know AI matters. You do not know which of the twenty things you have read about applies to a practice your size, and nobody wants to spend the budget finding out the hard way.
An open-ended project becomes a short list of decisions with numbers beside them — including, where it applies, the recommendation to wait.
Foundations for everyone who touches client work: what AI does, where it fails, and the controls a regulated practice needs.
People are already using AI on client work to whatever standard they invented themselves. There is no agreed position on which tools may be used or what may be put into them.
One standard across the practice, and an answer you can give a partner, a client or a regulator without hesitating.
Applied AI across the Microsoft 365 tools the team already uses, with prompt libraries written against your own work.
The team spends more time drafting, summarising and chasing than on work you can bill. You are paying for Microsoft 365 and using a fraction of it.
The email that took twenty minutes takes four, and the write-up that took an afternoon takes an hour — every week, for everyone.
Training and a configured AI skill for a defined area of accounting work, deployed on your own systems. Three are available; each is taken on its own.
The bottleneck is not email. It is coding, packs and year-end preparation — and a general-purpose tool cannot do any of it to a standard you would put your name to.
The first draft of the work is done before anyone sits down to it — and your team reviews and signs, exactly as before.
A workflow or agent designed around a process only your practice runs: built, tested, documented and handed over.
You have the client type nobody else serves, or the report that took eleven years to get right. The standard skills do not reach it, and it is expensive in hours every month.
The process that only you run costs a fraction of what it did, and keeps working whether or not HiveIQ is still involved.
Ongoing maintenance of what has been deployed, as models, tools and your own methods change.
A skill configured in March is not optimal by September. Models move, tools move, your methods move, and a new starter joins who was not in the room for the training.
What you spent stays worth having, instead of quietly degrading until someone gives up on it.
One 45-minute session on a specific question, with no retainer and no continuing commitment.
You have been quoted for a tool and cannot tell whether it is worth it, or you want a second view before rolling something out across the practice.
A straight answer to the question in front of you, from someone with no interest in selling you a programme you do not need.
Every service above is priced on the pricing page, alongside what the same services cost taken together. Fees are fixed at engagement and confirmed in writing before work begins.
Nothing here is taught against an invented company. Sessions run on your chart of accounts, your reporting format and your file structure — and everything configured for the practice is deployed on your own subscriptions.
Twenty minutes on Teams, at no charge. Tell us where the hours go and we will tell you which of these would take the most off your desk — and what it would cost to find out properly.