AI Consulting For

OpenLazarus for mid-sized companies: AI architects by industry

An architect practice and a company-owned operating system for the office work around an industry's core software. Specific about controls and prices; thin on named results outside retail and professional services.

Contents
  1. What OpenLazarus does across industries
  2. Published evidence
  3. Strengths and limits
  4. Pricing
  5. Questions to ask OpenLazarus
  6. Sources
TypeAI architects and operations platform
HeadquartersNew York, US
PricingPublished
Websiteopenlazarus.ai

OpenLazarus combines a yearly AI-Architect engagement with an operating system the client owns, in which AI teammates with their own inbox and phone number work on the same records as staff⁠12.

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.

Not the right fit for: Companies whose main need is a custom machine-learning model, a data-science team on loan or an industry-specific analytics product.

What OpenLazarus does across industries

The architect works with leadership on how the company should run, then designs processes and AI teammates with it; OpenLazarus recommends this for companies above 100 people⁠3. Its architects page sets out the commitments behind the engagement: a data lake that holds all of the company's data so that it, not its software vendors, owns it; paid software seats cut from most employees to a few; the client's IT team trained to maintain the build without OpenLazarus; and no lock-in to a single language model, which it says can leave token costs 20 to 95% higher⁠1.

Its industry pages make the design concrete for five of the six industries on this site: logistics, accounting firms, construction, wholesale and real estate, with e-commerce standing in for retail⁠456789. Each names the system that stays in place, from the WMS to tax software, and gives dollar limits on what AI teammates may do alone. Hosting is managed with backups, updates and monitoring, can be moved to the company's own cloud, and European companies can run on servers in the EU⁠310.

The example companies on the industry pages, from a Texas 3PL to a Florida property manager, are invented. Their savings and hours are illustrative estimates, and the pages say so.

Published evidence

  • Quick Scan & Go (retail, 80 stores). OpenLazarus reports that profits grew 76% after the company’s wasted time was redeployed. Company-reported; no method is published.⁠1
  • Raven Analytics (professional services). Its CEO is quoted as saying the data and AI work produced 3x sales-funnel growth and a 2x improvement in staff efficiency. A testimonial on the vendor’s page.⁠1

Strengths and limits

Strengths

  • Each industry page names the system of record that stays in place (WMS, tax software, project platform, ERP, property-management software) and how OpenLazarus reads from and writes back to it.
  • Approval limits are set per teammate, with worked examples such as a change order over $10,000 or a vendor change over $250, and every action is logged.
  • Publishes prices for hosting, engineering support and AI usage, which no other firm in this guide does.
  • States that the client owns its data and that the client’s IT team is trained to maintain the build.

Limits

  • The example companies on its industry pages are invented; their savings and hours are illustrative estimates, not results.
  • Named testimonials cover retail and professional services, not logistics, construction, wholesale or property management.
  • Not a data-science shop: it does not sell custom predictive models or analytics products.
  • The AI-Architect consultancy itself is priced per engagement, not published.

Choose another option if: The project is a bespoke model, such as demand forecasting from years of sales data, or a large analytics platform. LeewayHertz, Slalom or IBM Consulting are closer fits for that work.

Pricing

Published: managed hosting from $150 a month, developer support from $4,500 a month with 10 engineering credits, and 5.5% on AI credits. The AI-Architect consultancy is priced per engagement.

Questions to ask OpenLazarus

  • Which of our recurring queues would an AI teammate take on first, and what access would it need in our core system?
  • Which actions will wait for approval, and at what dollar amounts?
  • What do we own, and how does our team run the system if the engagement ends?
  • Can we start with one department on a fixed scope before a yearly engagement?

See how OpenLazarus compares with the other seven firms in the main guide.

Sources

  1. AI Architects. OpenLazarus. Accessed 8 Nov 2026.
  2. AI teammates. OpenLazarus. Accessed 8 Nov 2026.
  3. Pricing. OpenLazarus. Accessed 8 Nov 2026.
  4. AI for logistics and 3PLs. OpenLazarus. Accessed 8 Nov 2026.
  5. AI for accounting firms. OpenLazarus. Accessed 8 Nov 2026.
  6. AI for construction. OpenLazarus. Accessed 8 Nov 2026.
  7. Wholesale and distribution. OpenLazarus. Accessed 8 Nov 2026.
  8. AI for real estate. OpenLazarus. Accessed 8 Nov 2026.
  9. AI for e-commerce. OpenLazarus. Accessed 8 Nov 2026.
  10. FAQs. OpenLazarus. Accessed 8 Nov 2026.
  11. OpenLazarus. OpenLazarus. Accessed 8 Nov 2026.