Hire an in-house AI lead when AI will be a permanent, central part of how your firm operates and you can give that person real authority, bring in a solo consultant for a focused, well-defined need, use a specialist consulting team when you need training, strategy and engineering together, and choose a large consultancy when the work spans a big organization with heavy procurement and change requirements.
None of these is right for every firm. The best choice depends on your size, how much you need built, and who will own AI once the outside help leaves.
Who this is for
CEOs, managing partners and COOs deciding how to resource AI, and comparing a hire with outside help.
The short version
- In-house leads give continuity and context, but are hard to hire well and can be isolated without support.
- Solo consultants can be excellent and economical for a narrow scope, but have limited capacity and range.
- Consulting teams cover more ground at once; large consultancies bring scale, at a cost and with more process.
The four options at a glance
| Option | Usually strongest at | Watch out for |
|---|---|---|
| In-house AI lead | Continuity, deep firm context, daily availability | Hard to recruit; one person rarely covers training, strategy and engineering; can lack authority |
| Solo consultant or freelancer | Focused expertise, flexibility, lower overhead, direct access to the expert | Limited capacity; availability risk; range depends entirely on one person |
| Specialist consulting team | Combining training, strategy and engineering; practical delivery; capacity to run several streams | Less firm context than an employee; quality varies, so check who actually does the work |
| Large consultancy | Scale, breadth, enterprise change programs, procurement familiarity | Higher cost; junior-heavy delivery is possible; methods can be heavier than a smaller firm needs |
When each option tends to fit
An in-house AI lead fits when:
- AI is becoming central to how you operate, not a one-off initiative.
- You can offer a role with genuine authority, budget and access to leadership.
- You can attract someone who combines technical judgment with an understanding of your business.
A solo consultant fits when:
- The need is focused: a policy, a training series, a specific build, a second opinion.
- You’ve found someone whose track record you can verify in work like yours.
- You value working directly with one experienced person.
- You have a plan for continuity if they become unavailable.
On a narrow problem, a strong solo consultant can outperform a team.
A specialist consulting team fits when:
- You need more than one kind of help, for example training several teams while also deciding what to build.
- You want practical delivery rather than a long program.
- You want the option of engineering capacity without hiring engineers.
- You want the team to leave capability behind, not dependency.
A large consultancy fits when:
- Your organization is large, with many business units and formal procurement.
- AI is part of a broader transformation involving operating model, systems and people at scale.
- Board or regulator expectations favor an established brand.
A decision guide
Work through these questions in order:
- Will AI need a dedicated owner for years? If yes, you will probably want an internal owner eventually, even if you start with outside help.
- What do you need right now: skills, direction, systems, or all three? One kind of need suits a solo consultant or a hire. Several at once suits a team.
- How much needs to be built? Engineering work needs engineering capacity and a maintenance plan.
- How big is the organization? Smaller and mid-size firms often find large consultancy methods heavier than necessary.
- Who owns the work after outside help leaves? If no one, fix that before choosing.
Many firms land on a combination: outside help to start, train people and build the first systems, then an internal owner, who may be an existing employee rather than a new hire, to carry it forward.
Questions to ask any option
- Who exactly will do the work, and can we meet them?
- How will you learn how our firm actually works?
- What will our people be able to do on their own when you leave?
- Can you show work similar to what we need, within confidentiality limits?
- How do you handle our data?
- What would make you tell us not to proceed?
Good advisors, inside or outside, will say when something isn’t worth doing.
Common mistakes
- Hiring an AI lead too early. Without clear priorities or authority, a new hire can struggle to make progress.
- Expecting one person to do everything. Training, strategy and engineering are different skills.
- Choosing by brand alone. The people on your work matter more than the logo.
- Ignoring the handover. Any outside help should leave you more capable, not more dependent.
- Overlooking internal candidates. Someone already in the firm who is curious and respected can make an excellent owner with support.
When you do not need us
If your need is narrow and you’ve found a trusted solo consultant, that may be the better choice. If you’re a large organization running an enterprise-wide transformation, a large consultancy may suit you better. And if you have a capable internal person ready to own AI, the right move may be to invest in their training and give them time.
How Ruby helps
We work as a specialist team across three areas, and aim to leave capability inside your firm:
- AI training: role-specific, hands-on sessions on your real work.
- AI strategy: an honest view of where AI belongs and how to resource it, including whether to hire.
- AI engineering: secure agents and integrations, built to be maintained by you or with us.
To see how we work, start with one practical hour of AI training.