8 questions I'd ask before hiring an AI RevOps consultant
If you're evaluating AI RevOps consulting for a B2B SaaS team, start with the work your people need help getting done.
The rep checking 3 systems before a call. The ops person fixing lead assignments every morning. The customer success team trying to piece together what sales promised.
Those are useful places to start a conversation about AI.
I'd want a consulting partner to understand that work before recommending a build. Who does it, where it gets stuck, and what a better day would look like for the people involved.
AI RevOps consulting applies AI to the workflows connecting sales, marketing, and customer success. For a B2B SaaS company, that might mean preparing account research, routing inbound leads, or making the handoff after a signed deal more complete.
The opportunity is real. Choosing the team matters. These are the 8 questions I'd bring to the first few conversations.
1. Can you show me something that's still running?
Ask to see a production workflow and talk with someone who uses it.
What changed for that person? How long has the system been running? What happens when an input is missing or an integration fails?
A reference from a company with a similar team size and operating setup is especially useful. A SaaS business with one RevOps person needs a system that person can realistically support.
I'd also ask what broke after launch. The answer tells you something about how the team handles responsibility.
2. Have you looked closely at our existing tools?
Your CRM is part of a larger operation. Email, billing, product usage, and support data may all matter to the workflow.
Bring your systems owner into the discussion early. Have the consultant walk through one real example from the trigger to the final update. Where does the information come from? Which system owns each field? What access is actually available?
“We integrate with your CRM” needs a more specific answer behind it.
Sometimes the right first step is cleaning up a field or fixing an existing automation. I'd want a partner who is comfortable saying that before scoping an AI project.
3. What will we measure in the first 90 days?
Pick a workflow and establish the baseline before changing it.
For lead routing, measure the time from an inquiry arriving to the right person receiving a usable record. Track incorrect assignments and the time spent correcting them too. A faster process still needs to produce work people can trust.
Then agree on what you'll review each week and what decision you'll make at day 90. Keep going, change the approach, or stop.
Closed revenue may take longer to show up, especially with a longer sales cycle. You should still be able to see whether the underlying work is improving. Our AI ROI calculator can help frame the time and cost assumptions for one workflow.
4. Will you get sales, marketing, and customer success in the same conversation?
A lead can look qualified to marketing and be unusable to sales. A signed deal can arrive in customer success without the context needed to deliver on it.
Ask how the consultant will resolve those gaps with the people involved.
Who agrees on the qualification rules? Who accepts the handoff? Who decides which record is correct when systems disagree?
Those decisions become requirements. Automating the handoff before agreeing on them can move the confusion downstream faster.
5. What do we own, and could someone else take over?
Get specific about the code, configurations, data, hosting accounts, and documentation included in the engagement.
A custom build and a managed service can have different ownership terms. Understand which arrangement you're buying, what depends on third-party licenses, and what remains available if the relationship ends.
Ask to see the handover plan. Another engineer should be able to understand how the system runs, where the credentials are managed, and how to maintain it.
For our custom builds at CoMavenAI, the client owns the custom system and the knowledge. Ongoing engineering is a separately scoped service. That distinction should be clear before work starts.
6. What is the system allowed to do on its own?
Preparing an account summary and changing a billing record need different levels of control.
Ask the consultant to define what the system can read, what it can change, and what needs a person's approval. Then walk through an exception together.
Where does customer data go? Who can see it? How long is it retained? Who gets notified when something fails, and how do you stop the workflow?
I'd want those answers tied to the actual build, with records of what happened and a way to recover from a bad update.
7. What are we paying for, including after launch?
The proposal should make the deliverables, acceptance criteria, responsibilities, and exclusions easy to understand.
Ask what is included in the build fee and what continues monthly. Model usage, hosting, other software, maintenance, and engineering time can all affect the cost of operating the system.
Agree on how scope changes get approved. If a phase needs a spending cap, put it in writing.
You should be able to explain the investment to your team without asking the consultant to translate the proposal.
8. Who will actually work with our people?
Meet the people who will build and support the system. Find out how often they'll work directly with your operators and who owns the result after go-live.
This matters to me. CoMavenAI is a forward-deployed engineering firm. We build with the people who know the operation.
The person maintaining the spreadsheet workaround probably knows something the requirements document missed. Your consulting partner needs to make room for that person throughout the build.
Ask how operator feedback changes the work each week. Then ask who answers when something stops working.
Bring one workflow to the conversation
You don't need a complete AI roadmap to evaluate a partner.
Bring a recurring problem, a few representative examples, and the person who handles it today. Ask the consultant to help define a useful first version and how you'd know it was working.
That conversation will tell you a lot about the team you're considering.
If there's a RevOps workflow taking more of your team's time than it should, I'd like to hear what's getting in the way.