OpenLazarus for established companies: AI architects and an owned platform

Contents

1. What OpenLazarus does for a company
2. Published evidence
3. Strengths and limits
4. Pricing
5. Questions to ask OpenLazarus
6. Sources

Type	AI architects and operations platform
Headquarters	New York, US
Pricing	Published
Website	openlazarus.ai

OpenLazarus sells AI consulting in two parts: a yearly AI-Architect engagement with a company's leadership, and an operating system the company owns, staffed by AI teammates⁠1OpenLazarusOpenLazarus.

Best for: established companies of more than 100 people that want an architect to redesign how they run, then AI teammates working inside a system they own.

Not the right fit for: Companies that want a single data-science model, a research partnership or an enterprise-wide change program across dozens of countries.

What OpenLazarus does for a company

Its pricing page describes the architect's role plainly: an architect works with leadership on how the company should run, then designs the processes and AI teammates with it. The service is recommended for companies above 100 people and priced per engagement⁠2PricingOpenLazarus. Its AI Architects page sets out the commitments behind it: a data lake that holds the company's data so that it, and not its software vendors, controls it; fewer paid software seats; training for the company's IT team to maintain the build; and no dependence on a single AI model⁠3AI ArchitectsOpenLazarus.

The teammates are ready-made roles, from a receptionist and a bookkeeper to purchasing and dispatch, each with an inbox, a phone number and limits the company sets⁠4AI teammatesOpenLazarus. The company decides which actions run without asking and which need approval, and European companies can run on servers in the EU⁠5FAQsOpenLazarus.

Its industry pages illustrate the product with invented example companies. These are not clients, and their figures are not results.

Published evidence

• Raven Analytics (company-reported). A testimonial from the CEO of Raven Analytics, a professional-services firm in Portland, Oregon, credits OpenLazarus’s data and AI work with 3x sales funnel growth and a 2x improvement in staff efficiency.⁠3AI ArchitectsOpenLazarus
• Quick Scan & Go (company-reported). A retail company with 80 stores in Miami and Buenos Aires. Its CEO is quoted saying that all of the wasted time was redeployed, growing profits by 76%.⁠3AI ArchitectsOpenLazarus

The page also carries a testimonial from the CEO of CSI Group in New Jersey, without figures, and a company claim of more than a million hours of work given back to client teams⁠3AI ArchitectsOpenLazarus.

Strengths and limits

Strengths

• Starts with how the company runs rather than with a model: the architect works with leadership before designing teammates.
• The company owns the platform and its data, and hosting can be moved to its own cloud.
• Publishes its support prices: hosting from $150 a month and engineering support from $4,500 a month.
• Works with any model through its AI router, so a company is not tied to one model vendor.

Limits

• The consultancy itself is priced per engagement, so the full first-year cost is known only after a conversation.
• Its published client evidence is three testimonials, two with company-reported figures; there are no detailed case studies.
• Not a research or custom data-science shop for problems such as demand modelling at scale.
• Engineering support is available only when OpenLazarus hosts the platform.

Choose another option if: You need one specialised model built on large proprietary data, or a multi-country transformation with hundreds of consultants. Thoughtworks, Fractal or Accenture fit that work better.

Pricing

Published: managed hosting from $150 a month, engineering 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

• What would the architect deliver in the first 90 days, and how would we measure it?
• Which processes would the first AI teammates take on, and what access would they need?
• Can we speak with Quick Scan & Go or Raven Analytics about how the results were measured?
• What do we keep, and how is it handed over, if we end the engagement?

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

Sources

1. OpenLazarus. OpenLazarus. Accessed 8 Nov 2026.
2. Pricing. OpenLazarus. Accessed 8 Nov 2026.
3. AI Architects. OpenLazarus. Accessed 8 Nov 2026.
4. AI teammates. OpenLazarus. Accessed 8 Nov 2026.
5. FAQs. OpenLazarus. Accessed 8 Nov 2026.

Further reading

• Buyer's guide · Updated quarterlyThe best AI consultants for established companies in 2026Nine firms that sell AI consulting to businesses, compared for companies with $20 million to $800 million in revenue, with the published evidence behind each and a path to a first result.
• Guide · ChoosingHow to choose an AI consulting firm for your companyMost proposals look alike by the second meeting. This guide sorts the firms by what they actually do, then sets out the evidence and questions that tell them apart.
• Guide · EngagementsWhat an AI consulting engagement looks like, phase by phaseAssessment, design, build, launch and operation. What each phase produces, how long firms say it takes and where companies lose momentum between them.