---
title: Do You Need an AI Strategy Consultant or Someone Who Builds?
description: Need an AI strategy consultant or someone who builds? It depends on whether you can name the problem. How to tell, plus the middle path between the two.
image: https://ai-marketinglabs.com/hubfs/do-you-need-an-ai-strategy-consultant-or-someone-who-builds-2.jpg
---

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[The Lab Notes](https://ai-marketinglabs.com/lab-experiments) › AI Consulting

# Do You Need an AI Strategy Consultant or Someone Who Builds?

![Kelly Kranz](https://ai-marketinglabs.com/hubfs/1c8a298050a84a029fa51a6945685d90.png)

Kelly Kranz

Sep 30, 2026

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You need an AI strategy consultant when you can't yet name the one process or problem worth solving first. If you can name it, you're ready to build. That might mean hiring someone who builds, or building it yourself with an experienced person to settle the approach and help when you get stuck.

**TL;DR**

- Can't name the problem to solve first? A short, fixed-price strategy phase fits.
- Know the problem but not the approach, or stuck partway? A few scoped working sessions fit.
- Want it built for you? Hire a builder and put the handoff in the contract.

## How do you know which one you need?

Try answering four questions about the process you'd most like to fix:

1. What is it, in one sentence? ("Turning call notes into a client proposal.")
2. Who does it today, by name?
3. Roughly how many hours a week does it take?
4. What goes wrong when it's late or done badly?

If you can answer all four, you probably don't need a strategy engagement. You need to build it, either by hiring someone who builds or by doing it yourself with an experienced person checking the approach. If you're stuck on the first question, or you have six candidate processes and your partners disagree about which comes first, a strategy consultant earns the fee by getting you to one answer.

You may answer these faster than you expect. The process that makes you groan on Sunday night is a good place to start.

## What does each one actually hand you?

The two jobs end in different places, and that's the clearest way to tell them apart.

|  | AI strategy consultant | Someone who builds |
| --- | --- | --- |
| What you get at the end | A decision you can act on: which process first, why, and what fixing it would take | A working system on your accounts, plus training |
| How you judge it | Does it name one process and what fixing it is worth? | Is it used on real work without the builder? |
| What you still have to do | Build it, with help or on your own | Maintain it, or pay for support |
| Where it goes wrong | A long roadmap nobody acts on | A build aimed at the wrong process |
| Best when | You don't know where to start | You know exactly what's eating your week |

Both failure modes are real. The strategy risk is paying for clarity you already had. The build risk is automating something that didn't matter. The four questions above are there to tell you which risk you're facing.

There's also a middle path the table doesn't show. If you know the problem but aren't sure which approach fits, or you started building and got stuck, you may not need a full strategy engagement or a hired builder. A few scoped working sessions with an experienced person can settle the approach or clear the roadblock, and you keep building.

## Why do so many AI plans stall before anything runs?

Because the gap is in doing the work, not in knowing it's worth doing. In a Goldman Sachs survey of 1,256 small businesses in its 10,000 Small Businesses program, 76% said they use AI, but "only 14% say AI is fully embedded in their core operations." And "73% say they would benefit from additional access to training and implementation resources" ([Goldman Sachs](https://www.goldmansachs.com/pressroom/press-releases/2026/small-businesses-embrace-ai-but-need-training-and-support-to-fully-harness-it)). Those owners aren't short on reasons to use AI. They're short on help making it part of how the work gets done.

Bigger companies show the same pattern. In a survey of 200 UK mid-market decision makers by the consultancy TXP, "just 47% of AI pilots have scaled into production" ([Enterprise Times](https://enterprisetimes.co.uk/2026/09/25/half-of-mid-market-organisations-txp-report-disappointing-returns-from-ai-initiatives)). And McKinsey's latest State of AI survey found that "nearly three-quarters of high performers report fundamentally redesigning workflows because of their AI use," compared with about a quarter of everyone else ([McKinsey](https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai)). The companies getting value changed how the work runs. A roadmap doesn't do that on its own.

## When is a strategy consultant worth paying for?

Strategy isn't the villain here. The same TXP survey found "77% said their organisation should have allocated more time and budget to discovery before launching its AI initiatives." Skipping the thinking costs money too.

Paying for strategy makes sense when:

- You have several candidate processes and no agreement on which matters most.
- You work in a regulated field and need someone to sort out what data AI can touch before anyone builds.
- Nobody inside the business has time to own the question.
- You've already tried a tool or two and can't tell why nothing stuck.

The key is scope. Good strategy for a small business is short, fixed-price, and ends with one named process, what it costs you now, what AI would and wouldn't do to it, and a rough price to build. Whichever you hire, be clear up front on [what a good AI consultant should leave you with](https://ai-marketinglabs.com/lab-experiments/what-ai-consultant-services-should-leave-you-with) when the engagement ends.

Before you pay anyone for this step, try the free version. [AI Marketing Labs' free AI Audit is built to do exactly this job:](https://ai-marketinglabs.com/ai-audit)find the one bottleneck to solve first and tell you what fixing it would take.

## What should a builder do before building?

If you skip the strategy consultant, the builder still needs to do some strategy. It's just smaller and aimed at one process. A good builder will:

- Watch the task being done, or ask for a screen recording of it.
- Ask for real examples, including the messy ones.
- Tell you which parts AI shouldn't handle, like pricing decisions or anything that commits you to a customer.
- Agree on the number you'll measure before and after.

A builder who starts building before seeing how the work gets done today is guessing. Mapping the real work is the [stage of AI implementation](https://ai-marketinglabs.com/lab-experiments/what-ai-implementation-looks-like-from-first-call-to-handoff) that's most tempting to skip and most worth protecting.

## Can one firm do both?

Yes, and for a small business it can be the simpler route. Two things to get in writing if you go that way. First, the strategy fee should be credited toward the build, so you're not paying twice for the same thinking. Second, the plan should be yours to take to a different builder if you don't like the build proposal. If the discovery only works with that firm, it was a sales process.

For a one-person business, the argument for getting hands-on help gets stronger. The Small Business and Entrepreneurship Council notes that sole proprietors "may face the challenge of managing all business functions themselves, potentially lacking the bandwidth, specialized skills, or time required for AI implementation and learning" ([SBE Council](https://sbecouncil.org/2026/06/05/small-business-and-ai-adoption/)). A solo owner may not need to be told what's slow. What's missing is time and a second pair of hands, whether that's someone who builds it or someone who builds it with you.

If your real choice is between [an AI specialist and a consultant who added AI](https://ai-marketinglabs.com/lab-experiments/ai-business-consultant-or-a-consultant-who-added-ai), decide first whether your problem is a process or the way the business runs.

## Frequently asked questions

How much does an AI strategy consultant cost?

It varies with the firm and the scope. Whatever the number, ask for a fixed price, an end date, and a named deliverable, so you know exactly what you're buying.

Is an AI strategy consultant the same as a fractional AI officer?

No. A strategy consultant works on a project with an end date. A fractional AI officer is part-time, ongoing leadership, closer to a staff role you share with other companies.

Can I do the strategy part myself?

You can, if you're willing to track time. Log the hours spent on your three most annoying tasks for two weeks. The one with the most hours and the clearest rules is a strong place to start.

What should an AI strategy deliverable include?

One named process, what it costs you now, what AI would do to it and what it wouldn't, a rough build cost, and the next step. If it lists twelve initiatives, it went too wide.

 

 Not sure which one you need?

Talk it through with *Rick*

One-on-one AI consulting with Rick Kranz. It starts with your problem, covers anything from finding where AI fits to building the fix, and the scope and fee are agreed before any work begins.

[See AI Consulting Services](https://ai-marketinglabs.com/ai-consulting-services)

![Kelly Kranz](https://ai-marketinglabs.com/hubfs/1c8a298050a84a029fa51a6945685d90.png)

Written by

Kelly Kranz

With over 15 years of marketing experience, Kelly is an AI Marketing Strategist and Fractional CMO focused on results. She is renowned for building data-driven marketing systems that simplify workloads and drive growth. Her award-winning expertise in marketing automation once generated $2.1 million in additional revenue for a client in under a year. Kelly writes to help businesses work smarter and build for a sustainable future.

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