Is your business AI-ready?
Most SMEs start with what an AI tool can do, then look for a place to put it. The useful question is what the business needs in place first. AI produces answers you can check only when it has clean data and a defined process. Below is the framework we use.
Read the frameworkOver 30 years' experience between the founders.
AI-native delivery today.
A small, senior team.
Direct access to the people building your system.
Why you can't bolt AI onto spreadsheets
AI tools are good at working with information that's consistent, current and held in one place, and following a process that has clear rules. Spreadsheets and inboxes rarely offer either. If three versions of the same customer list exist, an AI tool fed from one of them will confidently produce answers that are wrong for the other two. If a process only exists in one person's head, there is nothing for the AI to follow. Adding an AI tool on top of that leaves the bad data in place and returns wrong answers faster. "AI-ready" is a question about whether your data and workflows are consistent enough to use.
The three stages: Digitise, Automate, AI
We treat business systems as three stages. Most businesses are on one of them. Digitise means getting your core information, customers, jobs, stock and orders, out of scattered spreadsheets and paper and into one system that everyone works from. Automate means those systems start doing the repetitive work themselves: passing information between tools, tracking a job through its stages, removing the re-typing. AI is the top stage, where a business has consistent data and written process rules, so AI can draft, summarise, flag exceptions, or run a defined task with a person checking it. Skipping a stage does not work. Each one depends on the one below it. The founders have spent over 30 years building the first two stages for SME clients, from local businesses to national names including BT, Apple, Microsoft and Pizza Express, and through our AI services we bring current, hands-on AI delivery experience to the third.
What each stage looks like in practice
A digitised business has one place everyone checks for the current record. An automated business does not need someone to chase a job from quote to invoice. The system moves it. An AI-ready business has written processes and clean data, so an AI tool follows those rules instead of guessing. We deliver bespoke systems in phases. A working first release typically lands in 8 to 12 weeks. Most projects cost between £15,000 and £80,000 depending on scope. We set those figures out during a fixed-scope analysis phase, before any commitment to build.
What to do next
If the records are still in spreadsheets, the first fix is usually one process, not a replacement of every system. If the workflows are already systems, the next question is which single AI-assisted task to try first and, if AI agents will act, who owns the control layer that limits them. Our AI services page sets out both. We received a Queen's Award for Enterprise. That award, and the founders' experience building these systems, is the record. Talk to a founder about which process to tackle first.
What could work better
in your business?
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