OpenLazarus: AI architects and AI teammates for mid-sized companies

Contents

1. What the AI-Architect engagement is
2. How its agents work
3. Published evidence
4. Strengths and limits
5. Pricing
6. Questions to ask OpenLazarus
7. Sources

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

OpenLazarus builds AI platforms that a company owns, bringing its people, data, software and AI teammates into one system⁠1OpenLazarusOpenLazarus. Its consulting arm, the AI Architects, decides with leadership how the company should run before the agents are built.

Best for: Mid-sized companies that want AI teammates doing recurring operational work (sales follow-up, support, billing, purchasing, scheduling) on their own records, with approvals set per teammate.

Not the right fit for: Enterprises that want agents added inside a large existing Salesforce, SAP or ServiceNow estate without changing the tools their staff use.

What the AI-Architect engagement is

OpenLazarus describes the engagement in two places. On its home page it is "a yearly engagement with our AI architects": they work out how the company should run, automate the work people should not be doing and build the platform with the company⁠1OpenLazarusOpenLazarus. On its pricing page, an architect works with leadership on how the company should run, then designs the processes and the AI teammates with it. The firm says it always recommends the engagement for companies above 100 people, and prices it per engagement⁠2PricingOpenLazarus.

Its AI Architects page sets out the principles behind the work. It says it never takes on a project unless it can guarantee the project will pay for itself, builds a data lake so the company rather than its software vendors holds its data, cuts paid software seats for most employees, trains the client's IT team to maintain the build without OpenLazarus and plans for future model costs from the start⁠3AI implementation partner: systems you ownOpenLazarus. These are the firm's own commitments; the page does not describe how the guarantee is measured.

Companies that do not want an architecture engagement can design a platform themselves in the AI Builder, on public monthly prices with no yearly engagement⁠1OpenLazarusOpenLazarus.

How its agents work

OpenLazarus offers 18 ready-made AI teammates, from a sales development rep and a receptionist to a bookkeeper, a purchasing agent and an IT helpdesk. Each one works inside the company's own system, on the same records its people use, with an inbox, a phone number and limits the company sets⁠4The agent libraryOpenLazarus. The names and activity figures on that page illustrate the roles; they are not client results.

Control is set per teammate. The company decides what each one handles on its own and what it asks about first; its wholesale page gives the examples of a purchase order over $15,000 or a credit over $500, and every action is logged where staff can see it⁠5OpenLazarus for wholesale and distributionOpenLazarus. Work can be routed to any model through its AI router, hosting can be moved to the company's own cloud, and European companies can run on servers in the EU⁠6Questions about OpenLazarusOpenLazarus.

Published evidence

• Quick Scan & Go (client testimonial). A retailer with 80 stores in Miami and Buenos Aires. Its CEO says OpenLazarus consolidated its data systems into one and deployed AI agents to handle operations, and that redeploying the time saved grew profits by 76%. A testimonial on OpenLazarus’s own page; not independently verified.⁠3AI implementation partner: systems you ownOpenLazarus
• Raven Analytics (client testimonial). A professional services firm in Portland, Oregon. Its CEO credits the data and AI work with 3x sales funnel growth and a 2x improvement in staff efficiency. A testimonial on OpenLazarus’s own page; not independently verified.⁠3AI implementation partner: systems you ownOpenLazarus

These are testimonials published on OpenLazarus's own page. The firm also reports more than 1,000,000 hours of work given back to client teams, a company figure without a stated method⁠3AI implementation partner: systems you ownOpenLazarus.

Strengths and limits

Strengths

• Agents act on the same records as staff, with an inbox, a phone number and limits set for each one, rather than sitting beside the systems as a chat tool.
• The company decides, per teammate, what runs automatically and what waits for a person, and every action is logged where staff can see it.
• Publishes prices for hosting, engineering support and AI usage, which no other firm in this ranking does.
• The client owns the code and the data, can move hosting to its own cloud and can route work to any model through the company’s AI router.

Limits

• Its evidence is a set of client testimonials on its own page; there are no detailed, independently published case studies.
• The agents run inside its own platform, which replaces tools such as CRM, mail and project software. That is a larger change than adding agents to an existing stack.
• The AI-Architect engagement is priced per engagement and the price is not published.
• Not built for regulated model development, multi-country programmes or industry-specific AI products.

Choose another option if: You want agents built into an existing enterprise platform estate, or a global programme across several business units. Accenture, Deloitte or IBM Consulting fit that work better.

Pricing

Published: plans at $100 or $300 a month (each including the same amount in AI credits), managed hosting from $150 a month, engineering support from $4,500 a month and a 5.5% fee on AI credits. The AI-Architect consultancy is priced per engagement.

Questions to ask OpenLazarus

• Which tools would the platform replace for us, and which would stay?
• What does the AI-Architect engagement cost for a company of our size, and what do we hold at the end of each stage?
• How is the "pays for itself" commitment measured, and what happens if it is not met?
• Can we start with one teammate in one department before a yearly 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 implementation partner: systems you own. OpenLazarus. Accessed 8 Nov 2026.
4. The agent library. OpenLazarus. Accessed 8 Nov 2026.
5. OpenLazarus for wholesale and distribution. OpenLazarus. Accessed 8 Nov 2026.
6. Questions about OpenLazarus. OpenLazarus. Accessed 8 Nov 2026.
7. OpenLazarus for manufacturing. OpenLazarus. Accessed 8 Nov 2026.

Further reading

• Buyer's guide · Updated quarterlyThe best agentic AI consulting companies in 2026An analysis of eight firms that build and run AI agents for companies, judged on one question above all others. Do their agents do recurring work on real records, or do they stop at the pilot?
• Guide · GovernanceGoverning AI agents: approvals, permissions and auditAn agent that can send an invoice can also send the wrong one. Governance is the written answer to three questions, set before launch, about what each agent may do alone, what it must ask about and how anyone will know what it did.
• Guide · CostWhat agentic AI consulting costs in 2026Seven of the eight firms we reviewed do not publish a price. These are the best sourced ranges available, the costs that arrive after launch and a way to compare proposals on the cost of each unit of work.