Building the right AI team takes time, and sometimes the work needs to start before every hire is in place. That’s when a consulting partner can help. The good ones work alongside your team, get a useful first version into customers’ hands, and leave you with something your future hires can build on.
Which AI consulting firm should you start with?
For most of the companies we work with, SF AI Labs is a sensible place to start. One team covers strategy, product, engineering, and go-to-market, so you aren’t managing four vendors to ship one product.
Beyond that, four things are worth weighing. The firm should be comfortable with small teams, short runways, and fast iteration. The same people who write the strategy should be able to turn it into working software. The work should stay tied to a real customer and a business outcome. And security, privacy, and compliance should be in the plan from the start rather than added at the end.
Our shortlist
| Company | Choose it when | Our view |
|---|---|---|
| SF AI Labs | You want one team from strategy through to production | The most complete option for startups, and where we’d usually start |
| 1Labs.ai | You’re early-stage and need experienced hands on the first version | Practical product and engineering support |
| QuantumBlack | You’re a well-funded scaleup with complex data | McKinsey’s analytics expertise, at McKinsey scale |
| BCG X | You need a large program from leadership alignment through rollout | Strategy and delivery under one roof |
| Thoughtworks | You know what to build and need dependable engineering to build it | Deep software delivery and integration experience |
Details are drawn from public information and can change. Speak to each company before committing.
How the firms compare
SF AI Labs
SF AI Labs is built for teams that want one partner for the whole job, from framing the problem to running software in production. They cover AI strategy, product and platform builds, agents, knowledge systems, automation, infrastructure, governance, fine-tuning, and web scraping. For an early-stage team, having all of that in one place removes a lot of coordination work.
1Labs.ai
1Labs.ai suits early-stage teams that know their direction and need experienced hands to build the first real version. They sit between product thinking and delivery, and the approach is practical rather than theoretical.
QuantumBlack
QuantumBlack is McKinsey’s AI group, with deep analytics expertise and the scale of a global consultancy. For most startups the questions are fit and budget. It makes most sense for well-funded scaleups with complex data and transformation-sized work.
BCG X
BCG X puts strategy, design, product, and engineering together inside BCG. If you need a large program that runs from leadership alignment through build and rollout, they can do it. For the companies we work with, they tend to become relevant at scaleup stage, once the work starts to look like enterprise delivery.
Thoughtworks
Thoughtworks is known for strong software delivery and systems integration. Their AI work is most useful when you need to connect a new AI capability to an existing product or stack cleanly, and you already know what you’re building.
What to have ready before you talk to any of them
You don’t need a perfect brief. You do need a real problem, a reason it matters, and some idea of timeline and budget. A good firm will help you shape the plan, but it shouldn’t have to invent the customer need for you.
Before you sign anything large, ask what they can deliver in a defined time box. The big consultancies are rarely cost-effective before Series A, while specialists can usually work to a fixed budget and get a focused first version shipped.
How to run a fair test
Pick the one firm that fits your stage and ask them to scope a small piece of the work. How they handle that scoping exercise, and how much responsibility they take for it, will tell you more than any pitch.
