The Honest Truth About AI Consulting
I am an AI consultant, and I am going to be completely transparent about what that means, what we actually do, and whether your business genuinely needs one. Because the truth is, not every business does.
The AI consulting industry has grown rapidly, and not everyone offering these services is providing genuine value. Some consultants deliver PowerPoint presentations full of jargon and buzzwords, collect their fee, and leave you no closer to actually implementing anything useful. That is not what good AI consulting looks like.
Good AI consulting is practical. It is hands-on. It delivers measurable results. And it should pay for itself many times over.
What an AI Consultant Actually Does
Phase 1: Understanding Your Business
The first thing any competent AI consultant should do is listen. Before recommending any technology or approach, they need to understand:
- What your business does and how it makes money
- Where you are spending the most time and resources
- What your competitive landscape looks like
- What data and systems you already have in place
- What your team's technical capabilities are
- What you have already tried (if anything)
This typically involves interviews with key stakeholders, observation of current workflows, review of existing processes and data, and honest conversation about what is and is not working.
When I do this with clients, it usually takes one to two days depending on the size of the business. It is the most important part of the entire engagement, because every recommendation that follows depends on genuinely understanding the business.
Phase 2: Identifying Opportunities
Based on the discovery phase, the consultant should produce a clear, prioritised list of opportunities where AI could deliver value. This is not a wish list of every possible AI application. It is a focused, honest assessment of where the biggest returns are for your specific business.
For each opportunity, you should expect:
- A clear description of the current process and its costs
- How AI would change that process
- Estimated time and cost savings
- Implementation complexity and timeline
- Risks and prerequisites
- Recommended tools or approaches
I typically present 5 to 10 opportunities ranked by ROI potential, with my recommendation of which 2 to 3 to tackle first.
Phase 3: Implementation
This is where many consultants fall down. Identifying opportunities is relatively easy. Actually implementing them is where the real work happens.
Implementation typically involves:
- Selecting and configuring the right AI tools
- Integrating them with your existing systems and data
- Building custom automations or applications where needed
- Testing thoroughly with real data and real scenarios
- Training your team to use the new tools effectively
- Setting up monitoring and measurement
Depending on the complexity, implementation can take anywhere from a week (for simple tool adoption) to several months (for custom AI solutions).
Phase 4: Measuring Results
Any AI consultant worth hiring should be obsessed with measuring results. After implementation, you should see clear metrics:
- Time saved per week/month
- Cost reduction achieved
- Revenue impact (if applicable)
- Employee satisfaction with the new tools
- Error rates before and after
These numbers tell you whether the investment was worthwhile and guide decisions about scaling or expanding AI adoption.
Phase 5: Ongoing Support
AI is not a set-and-forget technology. Models improve, new tools emerge, your business evolves, and your team discovers new ways to use what has been implemented. Good consulting includes a period of ongoing support to ensure the initial investment continues to deliver value.
What It Actually Costs
AI consulting pricing in the UK varies widely. Here is a realistic breakdown:
Discovery and strategy (one-off): £2,000 to £5,000 for a small business, £5,000 to £15,000 for a mid-size company. This covers the assessment and opportunity identification phases.
Implementation: £5,000 to £50,000+ depending on complexity. A simple tool adoption and training programme is at the lower end. A custom AI application with system integration is at the higher end.
Training workshops: £1,500 to £3,000 per session. A half-day or full-day hands-on workshop for a team of up to 20 people.
Ongoing advisory: £1,000 to £3,000 per month for retained access to expert guidance, monthly reviews, and priority support.
My typical engagement for a small business with 10 to 50 employees looks like this: £2,500 for discovery and strategy, £5,000 to £10,000 for implementation of the first 2 to 3 use cases, and an optional £1,000 per month for ongoing support. Total initial investment: £7,500 to £12,500.
The businesses I work with typically see a return of 3 to 10 times their investment within the first year, primarily through time savings and operational efficiency gains.
When You Do Not Need an AI Consultant
Here is the part where I talk myself out of business for some readers:
You are a one-person or very small team and your needs are simple. If you just need to use ChatGPT for writing and basic tasks, you do not need a consultant. Read the guides on this blog, watch some YouTube tutorials, and experiment. You will figure it out.
You already have strong technical capabilities in-house. If you have a competent development team and someone who understands AI, you may be able to handle discovery and implementation yourselves. A consultant might still be useful for strategic direction, but it is not essential.
Your budget is very tight and you cannot commit to implementation. A strategy document that never gets implemented is a waste of money. If you can only afford the discovery phase but not the implementation, save your money until you can do both.
You are not ready to change how you work. AI consulting only delivers value if the business is willing to actually adopt new tools and processes. If leadership is not committed or the team is resistant to change, wait until the organisational readiness is there.
When You Definitely Should Hire One
You know AI could help but have no idea where to start. The cost of trying random tools and failing is often higher than the cost of getting expert guidance upfront.
You have tried AI tools but are not seeing results. This usually means the tools are wrong for your use case, or they are not being used effectively. A consultant can diagnose and fix this quickly.
You are about to make a significant AI investment. If you are considering spending tens of thousands on AI software or infrastructure, a few thousand on expert advice to ensure you are making the right choices is a sensible insurance policy.
You need to train a large team. Getting 20 or 50 or 100 people up to speed on AI tools is a training challenge that benefits from professional support.
You want to build a custom AI solution. If off-the-shelf tools do not meet your needs and you need something bespoke, an experienced consultant can save you months of trial and error.
How to Choose a Good AI Consultant
Not all AI consultants are created equal. Here is what to look for:
Practical experience, not just theoretical knowledge. Ask for specific examples of projects they have delivered and the measurable results achieved. If they can only talk in generalities, that is a red flag.
Industry understanding. AI applications vary significantly by industry. A consultant who has worked with businesses similar to yours will deliver better results faster.
Honest communication. Good consultants tell you when AI is not the answer. If someone is recommending AI for every problem, they are selling, not consulting.
Implementation capability. Strategy without execution is worthless. Make sure your consultant can (or will partner with someone who can) actually build and deploy solutions.
Clear pricing. Vague pricing is a warning sign. A good consultant should be able to give you a clear estimate before work begins, with a defined scope and deliverables.
References. Ask to speak to previous clients. Any consultant worth hiring will be happy to connect you with people who can vouch for their work.
Questions to Ask Before Hiring
- Can you share specific examples of similar projects and their results?
- What is your process for identifying AI opportunities in my business?
- Who will actually do the work? (The person selling is not always the person delivering.)
- What does your pricing include, and what would be additional?
- How do you measure success?
- What happens after the initial engagement?
- What is the realistic timeline from start to measurable results?
- Can I speak to two or three previous clients?
Ready to Explore?
If you have read this far and think AI consulting might be right for your business, I offer a free 30-minute discovery call. No pitch, no pressure. Just an honest conversation about your situation and whether working together makes sense. Book your call here.
And if you decide you do not need a consultant right now, that is fine too. The other articles on this blog are designed to help you get started with AI on your own. Either way, I want you to make progress.