A few months ago, an SME owner reached out to me with this line: “We hear about AI everywhere, we’ve tried ChatGPT, but we have no idea what to actually do with it for our business.”
That’s the most classic sign. But there are other, less obvious ones that indicate AI support could be a genuine turning point for your company.
Sign 1: You spend more than 30% of your time on repetitive tasks
Processing emails, filling out spreadsheets, copy-pasting data between tools, drafting the same type of document over and over.
If you or your team spend a significant chunk of the week on low-value tasks — while knowing that time should go toward strategic work — that’s a strong signal.
What an AI consultant does in this case: pinpoint exactly which tasks can be automated, estimate the real time savings, and design an AI agent that takes over those tasks without disrupting your existing processes.
A concrete example: a brokerage firm that manually processed 80 quote-request emails a day. After 3 weeks of development, an AI agent now qualifies, categorizes and pre-fills quotes automatically. Result: 2.5 hours saved per day for the team.
Sign 2: You’ve tried consumer AI tools with no convincing results
ChatGPT, Copilot, no-code AI tools — you’ve tried them, they looked promising in a demo, but they don’t hold up in real conditions. The answers are too generic, integrations don’t work with your business tools, or the results are too inconsistent to use in production.
It’s not that AI doesn’t work. It’s that generic tools aren’t built for your specific context.
What an AI consultant does in this case: design a tailored solution built around your data, your processes and your constraints — not a generic tool you’re trying to force into a shape it wasn’t made for.
Sign 3: You don’t know how to evaluate what AI can really do for you
“Can AI analyze our contracts?” “Could we automate our customer service?” “Is this realistic with an LLM?”
If you’re asking these questions without a clear answer, that’s normal — but it’s also a real blocker. You can’t decide to invest in something you have no way to assess.
What an AI consultant does in this case: an AI maturity audit. In 1 to 2 days, we map out your processes, identify the highest-ROI use cases, and you walk away with a prioritized roadmap and realistic budget estimates. You know exactly what to do, and in what order.
Sign 4: You have an AI project underway that’s behind schedule or not delivering what was promised
The technical team has been developing for 3 months, you see impressive demos, but in real conditions the system hallucinates, results are inconsistent, or the project has turned into a never-ending build.
This is one of the most common problems I run into: AI projects launched without solid scoping, with specs that ignore the real constraints of LLMs.
What an AI consultant does in this case: take over the scoping, rewrite the specs realistically, put an evaluation system in place to objectively measure whether the agent works, and get the project back on solid ground.
Sign 5: Your competitors are starting to use AI and you don’t know how to respond
You see competitors announcing productivity gains, new services or improved customer experiences thanks to AI. You feel you’re falling behind but don’t know where to start without pouring huge amounts of money into a technology you don’t master.
What an AI consultant does in this case: help you identify the opportunities that actually differentiate you — not copy what your competitors are doing, but find the AI use cases that match your specific strengths and your customers.
What working with an AI consultant actually changes
The main value isn’t technical. It’s avoiding costly mistakes.
A poorly scoped AI project can tie up a team for 6 months for a result that’s unusable in production. A well-scoped project delivers a working first prototype in 3 to 4 weeks.
The difference comes from the initial scoping: understanding what AI can really do in your context, defining measurable success criteria, and designing an architecture that holds up in real conditions.
That’s exactly what I bring — plus a developer background that lets me technically validate what’s feasible before a single line of code gets written.
Do you recognize one or more of these signs? Free first call, no commitment.
Stéphanie Caumont
AI Product Owner · Learn more