The Lyzr MIT Challenge

According to MIT, 95% of AI
projects fail. Lyzr helps you be the 5%

A 90-day, Forward-Deployed program for Fortune 5000 leaders. Ship an enterprise-grade AI agent to production with our specialists — or we write you a $50,000 check for the time and effort.

90-day program · Fortune 5000 only · $50,000 guarantee

$50,000
The Lyzr Guarantee

Trusted by enterprises across industries

The reliability problem

The failure rate is not a
talent problem. It’s an infrastructure problem.

MIT’s research on enterprise AI is blunt: 95% of pilots never reach production. Not because the models are weak, but because the scaffolding around them isn’t — guardrails, memory, integrations, monitoring, hand-offs to humans. That scaffolding is exactly what Lyzr ships.

Our Forward Deployment Engineers embed with your team for 90 days and hand you a production system, not a proof-of-concept.

Read the playbook
MIT · Enterprise AI Study
95%fail

of enterprise AI projects never reach production. Lyzr customers are on the other side of that number.

Fail · 95%Ship · 5%
Our promise to you
$50,000

If your Lyzr agent doesn’t reach production in 90 days, we pay you $50,000.

Not a discount. Not credits. A wire, for the time and effort your team put in. That’s the Lyzr Guarantee — and the reason we’re comfortable making it is on this page.

The 5-step program

How the MIT Challenge actually runs.

One qualification call. One scope agreement. Ninety days of tightly scoped, bi-weekly sprints. Then production — or the check.

01 Qualify

Apply and get qualified

Open to Fortune 5000 decision-makers with approved budget for AI initiatives.

02 Scope

Discuss scope

Brainstorm with our team and sign off on the outcomes and success metrics up front.

03 Sign

Sign the MSA

We sign a $0 services agreement to formalise the partnership. No hidden fees.

04 Build

Build with Lyzr Specialists

Three months of bi-weekly sprints and weekly cadence calls with our Forward Deployment Engineers.

05 Ship

Go live — or get paid

Ship to production and convert to enterprise. Or we pay you $50,000 for time and effort.

Why Lyzr

Your enterprise AI advantage.

Here’s why leading organisations bet their most critical AI initiatives on Lyzr — turning research budgets into shipped, revenue-touching systems.

Speed

Get to production fast

Agents go live in days, not quarters. Deploy in a week with pre-built components.

CreateDeploy in a weekShip weekly
Privacy

Own your data & IP

Your data stays where it belongs — with you. Agents, LLMs, and data fully private.

AgentsLLMData
Trust

Safe & responsible AI

Compliance, guardrails, and full traceability baked into every agent by default.

Fairness & BiasHuman-in-loopPII RedactionToxicity Check
Deploy

Flexible deployment

LLM-agnostic. Any cloud or on-prem. Plug-and-play with your existing stack.

SaaSOn-premHybridAir-gapped
Integrate

Meets your stack

Native integrations with Salesforce, Microsoft, HubSpot, CrewAI, Dify and more.

SalesforceMicrosoftHubSpotCrewAI
Reliability

Built for enterprise

Hallucination management, memory, fact-checking, and continuous feedback loops.

GuardrailsMemoryReflection
Pre-built agents

What you can build with Lyzr.

Start from a production-tested agent template and customise for your data, tools, and guardrails. Or design something new with our specialists — either way, ninety days.

Sales SDR Agent

Qualify leads, book meetings, follow up 24/7.

Customer Support

Deflect tickets with grounded, in-brand answers.

Finance Ops

Invoice matching, expense triage, close-cycle automation.

Recruiting Agent

Screen, rank, and schedule candidates end to end.

Knowledge Copilot

Search across every doc, wiki, and ticket instantly.

Compliance Reviewer

Flag risks and prep audit packets in minutes.

RevOps Analyst

Pipeline hygiene, forecast diffs, exec-ready reports.

IT Helpdesk

Password resets, provisioning, L1 triage on autopilot.

Marketing Ops

Brief-to-campaign generation across channels.

Questions

Everything you need to know.

The MIT Challenge program and what it takes to deploy AI agents with Lyzr.

To qualify for the MIT Guarantee program, you must meet the following criteria:

  • Decision-making authority: a budget-approved decision maker inside your organisation.
  • Company size: a Fortune 5000 company.
  • Commitment: able to define clear outcomes and sign off on scope.
  • Pilot: willing to engage in a 3-month program with bi-weekly sprints.
  • Success: ready to convert to an annual contract or case study on success.

Month 1 — Foundation & planning. Requirements, architecture, agent design, and integration planning.

Month 2 — Development & testing. Bi-weekly sprints, agent build, integration with your AI/CRM stack, iteration.

Month 3 — Production deployment. Final QA, go-live, monitoring, optimisation, and success-metric validation.

PII protection, toxicity filtering, and fairness controls are built in. SOC 2 Type II compliant, GDPR- and CCPA-ready, with industry support for HIPAA and PCI-DSS. Deploy on SaaS, on-prem, or air-gapped — your data never trains our models.

It matches the real cost of a failed enterprise AI pilot: internal resources, opportunity cost, and time-to-market delay. Substantial enough to prove we’re fully committed to your success, and to protect your investment if we miss.

Yes. Native integrations with Salesforce (Agentforce, Einstein), Microsoft (Dynamics 365, Copilot), HubSpot, CrewAI, and Dify. API-first architecture with REST, GraphQL, webhooks, OAuth, and SAML for anything custom.

Success metrics are set up front. Bi-weekly reviews keep us honest. If we miss the agreed outcomes: you receive the full $50,000, all IP transfers to you, no penalties, and full documentation is handed over.

50+ languages including English, Spanish, French, German, Japanese, Mandarin and Hindi. Multi-region cloud, local data residency, regional compliance, and 24/7 global support.

Raw LLMs are models. Lyzr is the production stack around them — guardrails, memory, hallucination management, monitoring, enterprise integrations, and a Forward Deployment Engineer team. Weeks to production instead of quarters.

A dedicated engineer through requirements, build, integration, deployment, and 30 days of post-launch monitoring. Knowledge transfer to your internal team is part of the program.

The 5%

95% of AI projects fail.
Yours won’t.

Apply to the MIT Challenge. If you’re a Fortune 5000 decision maker with a real initiative, we’ll get on a call this week and scope it together.