Anyone looking for AI help runs into two kinds of parties that appear to sell the same thing. The enterprise consultancy: dozens to hundreds of specialists, references at banks and multinationals, a proposal with a steering committee in it. And the SMB-focused agency: small, often the builder at the table, a two-page proposal. Both call themselves AI consultancy. The difference isn't who is better, it's who is built for which problem. I'm writing this as the owner of an SMB-focused agency, so you know my position. Which is exactly why the most honest version of this story is the most useful one: there are situations where you're better off with an enterprise party, and I'll name them plainly.
The difference in one table
| Factor | SMB-focused agency | Enterprise consultancy |
|---|---|---|
| Typical client | 5 to 250 employees, one or two decision-makers | 250+ employees, multiple departments and stakeholders |
| Budget order per project | Thousands to a few tens of thousands of euros | Tens of thousands to hundreds of thousands of euros |
| Who executes | The consultant you speak to builds it | A team, with project managers and account managers in between |
| Contact | Directly with the builder or founder | Via a fixed contact person, technology sits further away |
| Scope | One process or use case, then expand | A programme across multiple departments at once |
| Governance and compliance | Practical: data processing agreement, EU hosting, GDPR basics | Formal: risk departments, audits, procurement processes |
| After delivery | Maintenance by the same builder, short lines | Handover to operations, formal SLAs |
| Biggest risk | Limited capacity: one person or a small team | Overhead: you pay for layers that don't build |
The five questions of the decision framework
1. How many systems and departments does the project touch? One process within one department (invoices, inbox, phone, quotes) is classic SMB agency work. If the project touches five departments, three countries and a legacy landscape nobody fully understands anymore, you need the coordination capacity of a larger team.
2. Who will maintain it afterwards? If you have your own IT team to take the system over, the formal handover of an enterprise party fits. If you don't, you want a builder who stays reachable after delivery and knows the system personally, because they built it personally.
3. Which compliance requirements apply? For most SMBs the practical basics suffice: a clear data processing agreement, EU hosting, no model training on your data, and AI literacy in line with article 4 of the AI Act. If you operate under central bank or financial regulator supervision, or at group level in healthcare, audit and documentation requirements come on top, and enterprise consultancies have built their processes for exactly that.
4. What's your budget, honestly? Market ranges: strategy sessions typically cost 2,500 to 5,000 euro, implementation projects at specialised agencies start from around 9,500 euro, and complex agent projects with multiple system integrations run from tens of thousands to above a hundred thousand euro. Enterprise consultancies typically charge higher day rates and larger minimum scopes. If your budget for the first project is under 25,000 euro, an enterprise proposal is almost always the wrong door.
5. Do you want a report or a working system? Enterprise consultancies are strong in strategy, roadmaps and organisational change. SMB agencies (the good ones) are strong in building: getting something live that measurably saves hours. Both have value, but don't confuse them. An AI strategy without anything running is a report.
How long until AI pays for itself?
The honest version: that depends on three factors, not on the agency. One: the volume of the process you're automating. A task that eats ten hours a week pays back faster than a task of one hour a month. Two: the state of your data and systems. Modern software with APIs connects smoothly, old systems without interfaces make integration the biggest cost item. Three: the level of autonomy you give the AI, because human review in the chain costs time but prevents mistakes. For repetitive, high-volume processes with clear rules, market analyses cite 4 to 8 months payback as a realistic estimate. Anyone who promises you a fixed payback period without knowing your process is selling a story.
When enterprise is genuinely the right choice
Four situations where I would refer you to a larger party myself. First: the project touches multiple countries or legal entities at once, each with its own rules. Second: you fall under heavy sector compliance at group level, such as banking supervision, where the documentation burden is a sizable task in itself. Third: you have procurement obligations or internal purchasing requirements that formally exclude a small agency. Fourth: the question isn't a project but a programme, with dozens of stakeholders and a multi-year horizon; then project management overhead isn't a cost, it's a necessity.
When an SMB agency is the right choice
The mirror-image situations. You want to tackle one concrete process and measure whether it works before investing further. You want to speak to the builder, not a layer around them. Your budget fits a project, not a programme. And after delivery you want a person who knows the system, not a ticketing queue. Which agencies operate in both segments is covered in the overview of AI implementation agencies by segment, and the selection questions per agency in how to choose an AI company.
The trap in the middle
The hardest cases sit in between: companies of 100 to 250 employees with a serious IT department but no AI experience. Too big for a solo builder who does everything alone, too small to earn back enterprise overhead. For that group a hybrid form often works best: a small agency that builds and takes the internal team along at the same time, so the knowledge lands in-house instead of staying with the supplier. That's also how I set it up in AI consulting and coaching: building and handover are one process, not two.
Conclusion
The choice between SMB and enterprise AI consultancy isn't a quality choice, it's a fit choice. Count your systems, know your compliance requirements, be honest about your budget, and decide whether you want a report or a working system. Big programmes belong with big parties. One process that demonstrably eats hours belongs with a builder you speak to yourself.
Not sure which process to tackle first? The free AI Readiness Scan gives a first analysis. And if you want to run your situation through this framework: book a 30-minute call. If your question belongs with an enterprise party, you'll hear that from me.
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Frequently asked questions
- What is the difference between an SMB agency and an enterprise AI consultancy?
- At an SMB-focused agency the consultant you speak to builds the system, the scope is one process or use case, and budgets run from thousands to a few tens of thousands of euros. At an enterprise consultancy you get a team with project managers in between, programmes across multiple departments, and formal governance. The difference isn't quality but fit: who is built for which problem.
- How long until AI pays for itself?
- That depends on three factors, not on the agency: the volume of the process you're automating, the state of your data and systems, and the level of autonomy you give the AI. For repetitive, high-volume processes with clear rules, market analyses cite 4 to 8 months payback as a realistic estimate. Anyone promising a fixed payback period without knowing your process is selling a story.
- When do I genuinely need an enterprise consultancy?
- In four situations: the project touches multiple countries or legal entities at once, you fall under heavy sector compliance at group level (such as banking supervision), you have procurement obligations that formally exclude small agencies, or the question isn't a project but a programme with dozens of stakeholders and a multi-year horizon. In all other cases, a builder you speak to yourself is usually the more logical choice.