AI is easy to demonstrate and hard to run well. In an established business, the useful question is not which model to use, but which process is slow, repetitive and well enough understood to hand part of it to software.
Four questions before any AI project
1. Which process, specifically, and who owns it?
2. What does good look like today, and how is it measured?
3. Is the data clean, owned and allowed to be used this way?
4. Where must a person stay in the loop?
Where AI works now
Drafting and summarising routine documents; triaging enquiries and routing them to the right person; extracting structured data from forms, emails and PDFs; and searching internal knowledge in plain language.
Governance basics
Keep a human approving decisions that matter; keep client data within agreed boundaries; pilot on one process with a clear measure; and document the workflow so your team can run it.
Where to go next
Our applied AI engagements are delivered through AI X Consulting, our specialist practice for AI workflows and adoption.
Questions we hear
Where should an established business start with AI?
With one slow, repetitive, well-understood process that has a clear owner and a measurable outcome, not with a model or a tool.
How do you keep AI use safe?
Keep people approving what matters, keep data within agreed boundaries, and measure a pilot before scaling it.
Our AI practiceAI X Consulting: applied AI for established businesses ↗