Many projects with an AI consultancy end in the same place: a nice presentation, a list of opportunities, and a roadmap. After that, little happens. The team returns to their daily work, and the AI ambition ends up in a drawer.
That doesn't have to be the case. A good AI consultant delivers something you can use tomorrow. In this article, you'll learn what an AI consultancy does, what you're paying for, and how to choose a partner that goes beyond advice.
What does an AI consultant do?
An AI consultant helps your organization deploy AI meaningfully, safely, and measurably. That sounds broad, and it is. In practice, it involves five tasks:
- Finding use cases: where does AI really save time or improve quality?
- Assessing data and knowledge: is your information good enough for AI?
- Setting up governance: what rules, roles, and controls do you need?
- Implementing AI: building, integrating, and launching the solution.
- Guiding adoption: ensuring that people actually use it.
Many agencies only do the first step. They call it AI strategy. The difference with AI implementation is significant. Strategy tells you what you can do. Implementation ensures it actually happens.
AI strategy or AI implementation: what do you need?
| AI strategy | AI implementation | |
|---|---|---|
| Question | Where should we go with AI? | How do we get this live concretely? |
| Result | Vision, priorities, roadmap | Working applications, users, results |
| Risk | Remains on paper | Without strategy, you build the wrong thing |
| Suitable for | Organizations that don't know where to start | Organizations with concrete use cases |
The best approach combines both. A short strategy phase, followed by rapid building and learning.
How much does an AI consultancy cost?
There is no straightforward answer. The price depends on several factors:
- The scope: one department or the entire organization?
- The type of work: just advice, or also building and managing?
- The state of your data: clean data saves a lot of work.
- The model: pay by the hour, a fixed project fee, or an ongoing service.
Pay attention to what you get for it. A cheap advisory project without results is more expensive than a targeted implementation that saves time immediately.
More and more organizations are choosing a form of AI as a service. You don't buy separate consulting hours, but a working solution that the partner manages and develops further for you.
How to choose the right AI consultancy
Ask each partner these six questions:
- What will be live in three months? A roadmap is not a result.
- How do you handle our data and rights? A good partner starts with governance, not the demo.
- Do you work with our existing environment? Are you using Microsoft 365? Choose a partner familiar with it rather than another separate platform.
- How do we measure success? Ask for concrete metrics, not promises.
- Who manages it after go-live? AI is never finished. Knowledge ages, processes change.
- How do you ensure employees use it? Without adoption, there is no result.
Why Microsoft 365-native makes the difference
Many AI applications run outside your existing environment. That means: extra accounts, extra rights, and extra risks. An AI solution that works within Microsoft 365 uses the identities, rights, and policies you already have. Employees only see what they are allowed to see.
This makes AI not only more secure. It also makes it faster. You don't have to start over with security and access management.
Red flags with an AI consultant
- They talk mostly about models and little about your processes.
- They promise time savings without knowing how you work.
- Governance and privacy are addressed only at the end.
- After delivery, you're left to your own devices.
How 365 Agents helps
365 Agents is not a traditional consulting firm. We deliver a managed AI workforce for Microsoft 365: the Frontier Crew. Six AI specialists for sales, finance, HR, marketing, knowledge, and change. We start with a brief analysis of your processes, knowledge, and rights. Then the crew goes live based on a proven standard model, and we manage it for you. Custom advice is optional, but you don't pay for slides.
Want AI that actually runs after three months? Schedule a conversation and we'll show you where you can start.
Frequently Asked Questions
What is the difference between an AI consultant and an AI firm?
An AI consultant usually advises on strategy and approach. An AI firm or implementation partner also builds and manages the solution. Many organizations need both.
Do I need an AI consultancy if I already have Copilot?
Often yes. Copilot is a general assistant. For specific processes, governance, and adoption, you need more than a license.
How soon do you see results?
With concrete use cases and a proven approach, you can see the first results within a few weeks. Large transformations take longer.
Is AI consultancy only for large organizations?
No. Medium-sized organizations benefit from a partner because they rarely have their own AI team.
