For most mid-sized companies a boutique fits better, as long as it builds what it recommends. A Big 4 firm or a strategy house fits when the program spans many countries and functions and you have an internal team to run it. The deciding question is not size. It is who does the work after the recommendation.
#Key takeaways
- Large firms bring breadth, industry benchmarks and the ability to staff a big program; that is a real strength, not a sales line.
- A mid-sized company usually needs a few workflows changed well, not an enterprise-wide roadmap.
- Most AI consulting at mid-market size is a data and process problem; the model is the easy part.
- Ask every firm who builds the first workflow and who runs it after go-live, and get names.
- Pick the option whose deliverable ends in a running workflow you own, not in a slide deck.
#What does each option actually offer?
The large firms are open about their scale. Accenture publishes its global headcount and client base on its own fact sheet (Accenture, accessed november 2026). McKinsey describes its AI arm, QuantumBlack, as engineers, product managers, designers and data scientists working together on client AI work (McKinsey, accessed november 2026). That scale buys benchmarks across industries, specialist depth and the capacity to staff a multi-year program.
A boutique offers the opposite shape: a small senior team that interviews your people, maps the process and builds the first workflow itself. It will not staff a hundred-person program. It usually puts the people from the sales meeting on the work.
#When is a Big 4 or strategy firm the right call?
- The program covers many countries, business units or a merger, and the board wants one firm accountable for all of it.
- You already have an internal AI or data team that will build, and you want strategy, benchmarks and change management around it.
- Procurement requires a vendor of that size, or a regulator expects a recognised name on the report.
- The work touches core systems such as ERP replacement, where large integrators have deep benches.
Buyers who have run these engagements describe the range plainly in public discussions: a big engagement brings everyone from pure strategy consultants to technical folks to pmo people. If you need that range, it is worth having.
#When is a boutique the better fit for a mid-sized company?
When the company has 200 to 2,000 staff, no dedicated AI team and a handful of workflows that eat operations time. A common complaint from buyers at this size is a proposal that assumed a dedicated internal AI team and data budget they did not have. The gap shows up after the report, when nobody on staff can build what it recommends.
That gap is common. Gartner expected 30% of generative AI projects to be abandoned after proof of concept by the end of 2025, citing poor data quality, weak risk controls and unclear value (Gartner, july 2024). A boutique earns its place by closing that gap: ranked workflows, one build, a named owner after go-live.
#What should you ask both kinds of firm?
- Will you run an audit of our workflows before proposing anything? Do not hire anyone who will not.
- Who, by name, interviews our team, and who builds the first workflow?
- Show us something you put into production, not a demo.
- Where will our data be processed, and in which region does the model run?
- What do we keep if we stop: the report, the accounts, the data, the off switch?
A red flag in either camp: a proposal for a multi-agent system or a custom platform before anyone has watched how your operations run.
We are
Stennir is a boutique that runs an audit returning five ranked workflows, builds the recommended one in Arabic and English, and names who runs it after go-live.
We aren't
Stennir is not a multi-country program office, and it does not hand over a strategy deck for someone else to build.
For a side-by-side map of the wider market, including talent networks and system integrators, see our AI consultancy alternatives guide. This post answers only the size question.
#What should a COO at a mid-sized company do next?
Write down the three workflows that cost your team the most time and send the questions above to two large firms and two boutiques. Compare the written answers. See how AI consulting works at Stennir, read AI for operations, take the free readiness assessment or book a 30-minute call. Our questions to ask an AI consulting company go further.
#Common questions
Are there alternatives to McKinsey or Accenture for AI consulting in the Gulf?
Yes. The market includes other global firms, regional consultancies, talent networks and boutiques that build. In Dubai and Riyadh, check whether the people doing the work understand Arabic, local data rules and how operations run in the region. Our shortlisting guide for the Gulf lists the checks.
What do you need from us to start an audit?
Access to the people who do the work, a sample of real inputs such as emails, forms or invoices, and someone senior who can decide which workflow goes first. You do not need a data team or a clean data warehouse. The audit tells you where the data gaps are and which ones matter.
What stays with us if we do not build with Stennir?
The audit report is yours whether or not you build with us. It ranks five workflows, gives each a cost and payback case, and recommends one build with its scope and hosting region. Any firm, or your own team, can pick it up from there.
Does a boutique carry more risk than a big firm?
It carries different risk. A small firm has less bench depth if someone leaves. A large firm can rotate staff and drift from the original scope. Reduce both risks the same way: named people in the contract, code and accounts in your name, and a written handover of how the workflow runs.
