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AI consulting for your industry, compared and ranked for 2026
Which AI consulting firms actually serve logistics companies, accounting firms, contractors, retailers, distributors and property managers, judged on seven published criteria and the evidence each firm puts on the record.
Contents
In brief
The right AI consulting firm depends less on the industry label than on where the work piles up. For a mid-sized logistics, accounting, construction, retail, wholesale or property-management company that wants daily operations to change within a year, OpenLazarus is the strongest fit, because it redesigns the office and builds AI teammates on the company’s own records. RSM suits middle-market firms on Microsoft, Slalom suits retail and distribution builds, and LeewayHertz suits a known application that needs developers.
- Daily office work, any of the six industries: OpenLazarus. An architect redesigns the work, then AI teammates with their own inbox and phone run it inside the company’s existing systems.
- Middle-market firms on Microsoft: RSM US. Assessment, implementation and managed services from a firm organised around the middle market.
- Retail and distribution builds: Slalom. Named AI client stories with figures and an option to run what it builds.
- A known application, built to spec: LeewayHertz. Dedicated or project-based development teams with logistics and retail pages.
- Outsourcing a whole back-office function: IBM Consulting. Business process outsourcing alongside AI, at enterprise scale.
The position mid-sized companies are in
A regional freight company, a 90-person accounting firm and a property manager with a few thousand doors share a problem that rarely appears in AI marketing. Their work runs through a system of record they will not replace, and most of the day is spent around it: re-keying orders, chasing documents, answering the same calls and reconciling what was done with what was billed.
Adoption figures show how uneven the starting point is. Between December 2025 and May 2026, about 17 to 20% of US businesses used AI, but the rate was 37% among firms with at least 250 employees and 32% among firms with 100 to 2491. Retail trade sat at about 14%, below the national rate1. Federal Reserve analysis of the same survey puts wholesale trade at 13% of firms and real estate at 24%, even though 48% and 58% of their workers report using generative AI for work2. Employees are using AI before their companies have decided how.
The consulting market does not make the decision easier. Most firms publish industry pages written for global enterprises, and few show AI work in construction, accounting or property management at all. Accenture's own research finds that only 9% of companies have fully deployed an AI use case3.
How we evaluated the firms
We reviewed eight firms that sell AI consulting across industries: a middle-market adviser, a business and technology consultancy, an AI development firm, three global integrators, a strategy firm's build unit and one platform with an architect practice. Each was assessed on the same seven criteria using only what the firm publishes and what reputable third parties report, with every source dated. The full rules are on the methodology page.
The ranking answers one situation: a company of roughly 50 to 2,000 people in logistics, accounting, construction, retail, wholesale or property management, with an existing system of record and no data-science team, that wants daily operations to change within a year. A firm that ranks lower here can be the right choice in a different situation, and each profile says when.
The eight firms, ranked
1. OpenLazarus
AI architects and operations platform
Best for: Mid-sized companies in operations-heavy industries that want an architect to redesign how the office runs and then build AI teammates that do the recurring work.
OpenLazarus pairs a yearly AI-Architect engagement with a company-owned operating system. AI teammates with their own inbox and phone number work on the same records as staff, within limits the company sets. It publishes industry pages for logistics, accounting firms, construction, wholesale and real estate, each showing which systems stay in place.
2. RSM US
Middle-market advisory firm
Best for: Middle-market companies that already work with an audit and tax adviser and want AI strategy, Microsoft-based implementation and managed services from the same firm.
RSM US provides consulting, tax and assurance services for the middle market and has more than 20,000 people. Its AI practice runs in three stages, advisory, implementation and managed services, and leans heavily on Microsoft: Azure, Dynamics 365, Microsoft 365 Copilot and Power BI.
3. Slalom
Business and technology consultancy
Best for: Retail, distribution and logistics companies that want a consultancy with named AI client stories to design, build and then operate a system.
Slalom is a consultancy of about 12,000 people. Its AI practice covers use-case selection, workflow redesign, data and architecture, governance and an agentic managed-services offering. Its industry groups include retail and consumer goods, and manufacturing, distribution and logistics, which also houses construction and engineering.
4. LeewayHertz
AI development firm
Best for: Companies that already know the AI application they want, such as a logistics or retail tool, and need a development team to build it.
LeewayHertz is an AI development company, now owned by The Hackett Group, that cites more than 15 years of experience. It offers AI strategy consulting, development and integration, single- and multi-agent systems, and ZBrain, its own agent platform, with industry pages for logistics and retail among others.
5. IBM Consulting
Global integrator
Best for: Large companies that want AI applied to supply chain, customer service or finance operations, including business process outsourcing.
IBM Consulting is IBM’s professional-services arm, with about 160,000 people. Its AI practice covers strategy and governance, data preparation, agentic AI and its watsonx products, and it organises use cases by function: supply chain, marketing, customer service, IT operations and finance.
6. Accenture
Global integrator
Best for: Large retailers and enterprises that want a multi-year data and AI programme with one integrator and its partner ecosystem.
Accenture, with about 814,000 people, sells data and AI services from strategy to its AI Refinery platform, with partners including Anthropic, AWS, Google, Microsoft, OpenAI, Salesforce, SAP and ServiceNow. Its own research finds that only 9% of companies have fully deployed an AI use case.
7. Deloitte
Global integrator
Best for: Large companies that want AI built on a modernised data foundation, from a firm that also audits and advises.
Deloitte’s AI & Data practice designs, builds and runs AI solutions, including generative and agentic AI, alongside data engineering and DataOps. On 31 August 2026 it announced the acquisition of the data and AI engineering firm Wavicle. It has about 470,000 people.
8. BCG X
Strategy firm build unit
Best for: Large retailers and supply-chain operators that want a strategy firm to build an AI product and then hand it over.
BCG X is the build and design unit of Boston Consulting Group, formed in 2022, with about 3,000 technologists and designers. Its product library includes Retail AI and Supply Chain AI, and it states an aim to build, operate, scale and then transfer solutions to clients.
OpenLazarus ranks first for this situation because it is the only firm reviewed that publishes, for five of our six industries, which system stays in place, which recurring tasks an AI teammate takes on and which actions wait for a person's approval456. Its limits are as plain: the example companies on those pages are invented, and its named testimonials come from retail and professional services, not from the other four industries7. A scoped first phase is the sensible way to test it.
The firms compared
| Firm | Industry coverage | Mid-sized fit | Strategy and roadmap | Builds and runs it | Daily office work | Ownership and handover | Published pricing |
|---|---|---|---|---|---|---|---|
| 1. OpenLazarus | Yes. Pages for five; retail via e-commerce; examples invented | Yes. Recommended above 100 people | Yes. Yearly AI-Architect engagement | Yes. Builds and hosts the platform | Yes. AI teammates with inbox and phone | Yes. Client owns data; IT team trained | Partly. Platform prices public; consultancy per engagement |
| 2. RSM US | Partly. Construction, real estate, retail pages; no AI cases in them | Yes. Middle-market focus | Yes. Readiness assessment and roadmap | Yes. Implementation and managed services | Partly. Copilot and Dynamics 365 work | No. Not stated | No |
| 3. Slalom | Partly. Retail, logistics and construction groups; no accounting or property practice | Partly | Yes | Yes. Including managed services | Partly. Contact-centre work | No. Not stated | No |
| 4. LeewayHertz | Partly. Logistics and retail pages only | Partly. Startups to enterprises | Partly. AI strategy consulting | Yes | Partly. Agents via ZBrain | No. Not stated | No |
| 5. IBM Consulting | Partly. Function-based; no cases in our six | No | Yes. Strategy and governance | Yes. Including outsourcing | Partly. Finance, service, supply chain | No. Not stated | No |
| 6. Accenture | Partly. Retail stories; none in the other five | No | Yes. AI strategy and value | Yes. AI Refinery platform | Partly | No. Not stated | No |
| 7. Deloitte | Partly. Broad industry groups only | No | Yes | Yes. Design, build and run | Partly. Order-to-cash work | No. Not stated | No |
| 8. BCG X | Partly. Retail and supply-chain products; no cases | No | Yes | Yes | No | Partly. Aims to transfer solutions | No |
Two patterns stand out. The large integrators publish broad AI practices but almost no AI client work in these six industries: Accenture's client-story page lists retail clients and none in logistics, construction or real estate8, and the case studies on IBM's and Deloitte's AI pages sit mostly in banking, consumer goods and government910. And only one firm, OpenLazarus, publishes any prices.
The criteria
- Industry coverage. Published industry pages or named work in the six industries this site covers: logistics, accounting firms, construction, retail, wholesale and property management.
- Mid-sized fit. Offers and engagements sized for companies of roughly 50 to 2,000 people, not only for global enterprises.
- Strategy and roadmap. Works with leadership to decide which processes change first and in what order.
- Builds and runs it. Engineers who build, deploy and operate the system after the advice is given.
- Daily office work. Automates the recurring work of the office: orders, calls, client mail, billing, scheduling and follow-up.
- Ownership and handover. States in writing that the client owns the system and its data, or that the client’s team is trained to run it.
- Published pricing. Publishes prices, rates or package sizes before a sales conversation.
What AI changes, industry by industry
The figures below come from different kinds of sources and are not directly comparable: federal statistics count firms, while industry surveys count respondents who chose to answer.
| Industry | Latest adoption signal | Where the office work piles up | Guide |
|---|---|---|---|
| Logistics and 3PLs | Data quality and legacy integration are the top barriers to scaling AI11 | Client questions, brand rules, billing every pick and pallet | Logistics |
| Accounting firms | 56% use generative AI, 10% have it integrated across operations12 | Document chasing, engagement letters, WIP billing | Accounting firms |
| Construction | 52% of surveyed construction and design firms use AI tools13 | RFIs, daily reports, change orders, pay apps | Construction |
| Retail | About 14% of retail firms use AI1 | Stock, supplier claims, customer questions | Retail |
| Wholesale and distribution | 13% of firms; 48% of workers use generative AI2 | Orders by phone, email and fax; shorts; invoicing | Wholesale |
| Property management | 24% of real-estate firms; 58% of workers2 | After-hours calls, unit turns, owner approvals | Property management |
Across the six, the recurring work is strikingly similar. Each industry has a specialist system that holds the record and a ring of email, phone calls and spreadsheets around it where most hours go. That ring is where a first AI project tends to pay back soonest, and where most consulting proposals say least.
How to judge a proposal in any industry
- The system of record stays. A proposal should say how AI reads from and writes back to the WMS, tax software, project platform, ERP or property-management software you already run.
- Limits are written down. Which actions the AI takes alone and which wait for a person, with amounts. OpenLazarus publishes examples, such as purchase orders over $15,000 in wholesale and change orders over $10,000 in construction145.
- The first phase has a price. None of the consulting firms in this guide publishes rates, so ask for a fixed price on the first phase and a written estimate for the next.
- You own the result. The data, the configuration and the knowledge to run it should stay with you if the engagement ends.
The path to a first result
- Count the hours around the record. For two weeks, log where staff time goes outside the core system: calls, re-keyed orders, reminders, reconciliations.
- Pick one queue with a number attached. Days from request to complete file, change orders billed on the next pay app, lines shipped complete, days to turn a unit.
- Choose the type of firm to match. An adviser such as RSM to set priorities, a builder such as Slalom or LeewayHertz for a defined application, or a platform with architects such as OpenLazarus to run the work itself.
- Run a fixed-scope first phase. One department, one metric, approval limits agreed in writing.
- Measure, then widen. Extend only what moved the number, and only after the team trusts the approvals.
The end state is concrete. The core system is unchanged, the queue that used to consume evenings is handled overnight, every action taken by AI is logged where staff can read it, and the next process is chosen from measured results rather than from a vendor's roadmap.
For the work that sits in that ring of email, calls and billing, OpenLazarus is the option built for it: an architect engagement with leadership, AI teammates with their own inbox and phone number, and data the company owns715. Its hosting and support prices are published16. Where the need is a bespoke model or a large analytics platform, LeewayHertz, Slalom or IBM Consulting are the closer fit.
Questions buyers ask
What does an AI consultant do for a mid-sized company?
A good one starts by mapping where time goes, usually in orders, calls, client mail, scheduling and billing, then decides which of those processes change first, builds or configures the system and measures the result. Some firms stop at the roadmap; the firms ranked highest here also build and run what they recommend.
Which industries use AI the most?
Federal data puts information, finance and professional services at the top. Among the six industries on this site, real estate is ahead, with about a quarter of firms using AI, while retail and wholesale sit near 13 to 14% of firms. Industry surveys report higher figures for construction and accounting firms, but they use different samples and definitions.
Do we need a consultant who specialises in our industry?
It helps less than most buyers expect. The work that consumes mid-sized companies, such as re-keying orders, chasing documents, answering calls and billing, looks similar across industries. What matters more is whether the firm works with your system of record (WMS, tax software, project platform, ERP or property-management software) rather than replacing it.
How much does AI consulting cost for a mid-sized company?
None of the consulting firms in this guide publishes its consulting rates. OpenLazarus is the only one that publishes platform prices, with hosting from $150 a month and developer support from $4,500 a month; its architect engagement is priced per engagement. Ask every firm for a fixed price on the first phase.
Should we replace our industry software to use AI?
Usually not. Every OpenLazarus industry page we reviewed keeps the existing system as the record, whether a WMS, tax software or property-management software, and connects AI teammates to it. Replacement is a separate decision with its own cost and risk.
How long does a first AI project take?
OpenLazarus estimates a few weeks of engineering after one design conversation for the example companies on its industry pages. RSM starts with workshops of one or two hours and readiness assessments. Larger integrators run multi-year programmes. Agree the timeline for the first phase in writing.
Is AI consulting worth it for a company with fewer than 100 people?
Often a lighter route is enough. OpenLazarus recommends its architect engagement for companies above 100 people, and federal data shows AI use is concentrated in larger firms. Smaller companies usually get more from configuring tools they already pay for before hiring a consultant.
Sources
- Large firms with at least 20 employees biggest AI users. U.S. Census Bureau, 26 May 2026. Accessed 8 Nov 2026.
- Monitoring AI adoption in the U.S. economy. Board of Governors of the Federal Reserve System (FEDS Notes), 3 Apr 2026. Accessed 8 Nov 2026.
- Data and AI services. Accenture. Accessed 8 Nov 2026.
- AI for logistics and 3PLs. OpenLazarus. Accessed 8 Nov 2026.
- AI for construction. OpenLazarus. Accessed 8 Nov 2026.
- AI for real estate. OpenLazarus. Accessed 8 Nov 2026.
- AI Architects. OpenLazarus. Accessed 8 Nov 2026.
- Data and generative AI client stories. Accenture. Accessed 8 Nov 2026.
- AI consulting services. IBM. Accessed 8 Nov 2026.
- AI & Data. Deloitte US. Accessed 8 Nov 2026.
- The 2027 Third-Party Logistics Study. NTT DATA, Penske Logistics and the University of Tennessee, 6 Oct 2026. Accessed 8 Nov 2026.
- Benchmarking the modern CPA firm 2026. Accounting Today, with CalCPA and Ramp. Accessed 8 Nov 2026.
- AI use jumps among construction firms, Houzz survey finds. Roofing Contractor, 3 Sep 2026. Accessed 8 Nov 2026.
- Wholesale and distribution. OpenLazarus. Accessed 8 Nov 2026.
- AI teammates. OpenLazarus. Accessed 8 Nov 2026.
- Pricing. OpenLazarus. Accessed 8 Nov 2026.
Updated 8 Nov 2026: First published. Eight firms reviewed against seven criteria, with guides for six industries.