A map of the work
Your recurring workflows by team: volume, systems touched, rules, approvals and the hours they take today.
AI consulting services
AI consulting for mid-market companies, from plan to production
An AI consultant helps you decide where AI will pay off in your business and how to get it there. Fixed Labs consults the way operators work: we study your workflows, rank the opportunities by value and effort, price them, and then build the first ones ourselves, so the plan does not stall after the presentation. We work with established businesses doing $5M+ in revenue.
For established businesses doing $5M+ in revenue.
- What you get first
- A ranked plan with costs
- Which workflows to automate, in what order, what each costs and what it should return.
- Who you work with
- Operators and engineers
- The people who scope the work are the people who build it.
- What happens next
- We build the first workflows
- Or hand the plan to your own team, if you prefer.
From a CPA firm engagement
Two weeks with the billing team, then 513 invoices in three weeks
For one accounting firm we spent two weeks with the invoicing team, wrote down its billing rules and exceptions, and put invoice preparation on a supervised AI workflow. Across the next three observed weeks it completed 513 invoices at about six minutes each, against the team’s estimate of 15 minutes by hand. Staff still approved every invoice before it went out.
Read how the billing workflow was scopedWhen to bring in an AI consultant
- Your board, partners or owners asked for an AI plan and nobody owns it.
- You bought ChatGPT or Copilot seats and cannot point to a result.
- A pilot worked in a demo and stalled before production.
- You are hiring for work that repeats every week.
- A system migration is coming and you want the new process designed with AI in it.
What an AI consulting engagement delivers
Specific enough to act on the week you receive it, and priced so you can decide.
Ranked opportunities
Each workflow scored on value, effort and risk, so you can see where AI pays back first and where it does not.
A priced roadmap
Build cost, monthly run cost, timeline and the owner on your side for each step of the next 90 days.
Data and risk review
What each workflow would need to access, where human approval stays, and what your IT lead should check.
Team readiness
Which roles change, what your staff need to learn and how we will train them on the systems they will use.
The first build
When you are ready, we build the first workflows ourselves and run them, so the roadmap turns into results.
How to get value from AI consulting
What should an AI consulting engagement produce?
A decision, not a deck. By the end you should know which two or three workflows to automate first, what each will cost to build and run, what it should return and who on your team owns it. You should also know what not to automate yet, and why. If the output is a list of AI ideas with no costs or owners, the engagement has not done its job.
Fixed Labs writes that plan from interviews and system walkthroughs with the people who do the work, not from a survey, and prices each item before you commit to it.
How do you tell a consultant who builds from one who only advises?
Ask to see something they built that is still running, and ask who will build yours. A firm that builds can describe the integrations, the approval points and what broke in the first month. A firm that only advises describes frameworks. Both have a place, but a mid-market company rarely wants a plan that waits for a second vendor to build it.
What should leadership prepare?
An executive sponsor who can decide, one process owner for each team in scope, access to the systems involved and a rough view of where the hours go today. That is enough to start; the assessment fills in the rest.
How long AI consulting takes
The plan comes first, within about two weeks. A first workflow can be in production three to six weeks after you approve it.
Week 1
Discovery call with the leader who owns the problem, then interviews and system walkthroughs with the teams doing the work.
Week 2
The ranked, priced plan: which workflows to automate, in what order, what each costs to build and run, and who owns it.
3–6 weeks after approval
The first workflows built in your systems, tested on real cases and live under supervision.
Every month after
Results against the baseline from discovery, and the roadmap re-ranked as you learn.
The Fixed Labs Method
Discover, build, run, staff.
- 01
Discover
A discovery call with the leader who owns the problem, then interviews and system walkthroughs with the teams doing the work.
- 02
Build
The plan becomes working software: the first workflows built in your systems and tested on real cases.
- 03
Run
We run what is live, measure it against the baseline from discovery and adjust the roadmap with you each month.
- 04
Staff
If the roadmap is long, a fractional AI team or technical staff keeps it moving.
Big consultancy, freelancer or Fixed Labs?
The difference that matters most is who builds the plan once it is approved.
| Large consultancy | Freelance AI consultant | Fixed Labs | |
|---|---|---|---|
| Typical client | Enterprises | Small businesses | Established businesses doing $5M+ in revenue |
| What you receive | Strategy and a transformation program | Advice or a single automation | A ranked, priced plan, then working systems |
| Who builds it | A separate delivery team or vendor | The freelancer, if they build | The same team that scoped it |
| After launch | A new statement of work | Usually ends | We run and improve it every month |
A good fit
- Owners, CEOs and COOs of established businesses doing $5M+ in revenue
- Leadership teams that need an AI plan they can defend to a board, partners or investors
- Companies with several teams doing manual, repeatable work in different systems
- Private-equity operating partners planning AI work across portfolio companies
Not the right fit
- Teams that want a strategy document with no intention to build
- Companies looking for help choosing a single software tool
- Enterprises shopping for a multi-year transformation program
AI Consulting questions
What does an AI consultant do?
An AI consultant studies how your business runs, finds the processes where AI can save time or money, and plans how to put it in place: which tools, what it costs, what risks to manage and who owns it. The useful ones also stay to build and measure the result. Fixed Labs does both.
How much does AI consulting cost?
It depends on the size of the operation and how many teams are in scope. Fixed Labs starts with a discovery call and then scopes a fixed-fee assessment; the build that follows is quoted per workflow. You see each price before you commit to it.
How do we choose an AI consulting firm?
Ask for three things: systems they built that are still running, who will do the build (the people in the pitch or a subcontractor), and how they price the work after launch. A firm that cannot show working systems is selling slides.
Do we need an AI strategy before we start?
You need a short, specific plan, not a long strategy document. Start with the two or three workflows that repeat most and cost the most, prove them in production, then expand. Our assessment produces that plan before any build starts.
Should we hire an AI consultant or an in-house AI engineer?
Hire in-house when you have a steady stream of AI work and someone to manage it. Until then, a consultant or a fractional AI team gets the first systems running sooner and helps you define the role you will eventually hire for.
How soon will we see results?
Your first workflow can be in production about three to six weeks after the plan is approved. We measure it against a baseline taken before launch, such as hours spent, turnaround time or backlog.
Get a plan you can act on, from the team that will build it.
A 30-minute discovery call. Tell us what leadership is asking for and where the hours go; we will tell you honestly what is worth doing first.
Book a discovery callPartner programs
- Microsoft AI Cloud Partner Program
- Google Cloud Partner Advantage