Microsoft builds the agents.
Lyzr takes them to production.
For CIOs and GSI partners standardising on Azure AI Foundry and Copilot Studio — Lyzr is the production layer that turns agent prototypes into governed, observable, continuously improving enterprise software. Your data stays in your Azure VNet. Your models stay on Azure OpenAI. Lyzr connects everything and ships it.
Your Microsoft AI program is ready to scale. The production layer isn’t
Azure AI Foundry and Copilot Studio are exceptional at what they do — world-class build tools, a model catalog of 11,000+ options, and deep M365 integration. The gap every delivery team faces is what comes next. Getting from a working proof of concept to a governed, auditable, continuously improving agent that a regulated enterprise can actually run — that’s a different problem. It’s not a model problem. It’s a production infrastructure problem. Lyzr solves it, running natively inside your Azure VNet alongside everything Microsoft provides.
Without Lyzr: 14 platforms to integrate.
14 separate platforms to integrate: orchestration, vectors, memory, observability, guardrails, CI/CD — each its own security review and maintenance burden.
With LyzrOne platform, one security model, one audit trail — deployed inside your Azure VNet, natively connected to Azure OpenAI, Foundry, and Fabric.
Without Lyzr: agents stall in prototype.
Agents reach production less than 30% of the time. The rest stall in prototype — waiting for production infrastructure that never gets prioritised.
With Lyzr85% of Lyzr-backed projects reach production. Simulation, CI/CD, and governance are built in — not retrofitted after go-live.
Without Lyzr: every vendor brings its own audit trail.
Copilot Studio agents, Foundry agents, Agentforce, ServiceNow — each with its own audit trail, entitlement model, and observability layer.
With LyzrOne control plane across every vendor in your enterprise. One entitlement model. One audit trail. Every agent visible in one place.
Your existing Microsoft AI investments don’t start over. They come forward
Enterprises running on Microsoft have often built LangChain pipelines, Microsoft AI Agent workflows, and Copilot Studio automations over the past two years. Lyzr SuperFlow is the only hybrid orchestration system that brings previous-generation agents forward alongside the new class — protecting that investment while moving to the next one.
LangChain pipelines and Microsoft AI Agent workflows your team already built
These aren’t thrown away. SuperFlow brings them into a unified orchestration canvas — routing between them and newer agent architectures as the work requires, with full versioning and rollback.
Protected InvestmentGitAgent, OpenClaw, Hermes — the new class of agent architectures running alongside
Lyzr’s GitAgent is open-source with 2,300+ GitHub stars. Enterprise-grade with full auditability, it runs inside your Azure VNet and integrates natively with Foundry’s model catalog and Azure OpenAI.
Future-ReadySuperFlow: the first hybrid orchestration system for Microsoft AI estates
One canvas. LangChain chains, Microsoft AI Agents, GitAgent, Vertex ADK agents — all composable into a single versioned, deployable workflow. Bring forward what your team already built. Add what’s next. Ship it all from one place.
Microsoft builds the foundation. Lyzr runs what’s built on it
Two platforms, one complete picture. What Microsoft handles natively — and what Lyzr brings alongside it, inside your Azure VNet.
| Capability Area | Microsoft handles | Lyzr brings alongside it |
|---|---|---|
| Agent Building | Copilot Studio for low-code agent design with native M365, Teams, and Power Platform connectors. Azure AI Foundry for code-first, multi-framework agent development with 11,000+ models | SuperFlow canvas for business users to design and ship agents without code. Architect for natural-language agent building. GitAgent for file-system-based, fully auditable agent execution |
| Model & Runtime | Azure OpenAI Service, the Foundry model catalog spanning foundation, vision, audio, and open-source models — with fine-tuning and Azure-native deployment | Six Sigma architecture patterns that route smaller, cheaper models for routine tasks — reserving Azure OpenAI capacity for high-stakes reasoning and lowering inference TCO measurably |
| Knowledge & Memory | SharePoint, Fabric, and Azure AI Search for enterprise data retrieval — deeply integrated across M365 and Azure | Cognis persistent memory at 92.4% LongMemEval accuracy. GraphRAG and Agentic RAG that reason across Fabric and SharePoint corpora, knowledge graphs, and heterogeneous data sources |
| Deployment & CI/CD | Azure Kubernetes Service, Container Apps, and Functions for compute infrastructure — world-class scale and reliability for running agents | A real agent CI/CD pipeline: non-prod → pre-prod → production promotion with compliance approvals, versioned releases, and instant rollback per release — available today |
| Safety & Quality | Azure AI Content Safety and Responsible AI tooling applied at the model call and deployment layer | ASIM simulation engine — test agents against thousands of real-world edge cases before production. Catch reasoning failures, policy violations, and hallucinations before users do |
| Hybrid Orchestration | Power Automate for workflow automation; Copilot Studio topics for conversational agent flows within the Microsoft platform | SuperFlow unifies LangChain, Microsoft AI Agent, and new-generation architectures (GitAgent, OpenClaw) in one canvas — protecting prior investments while enabling the next generation |
| Cross-Vendor Governance | Microsoft Entra ID, Azure Policy, and Purview for identity, compliance, and data governance across the Microsoft estate | One control plane across Copilot Studio, Foundry agents, Agentforce, ServiceNow, Databricks, and custom builds. One entitlement model evaluated at runtime. One audit trail across every vendor. |
Every Lyzr module runs inside your Azure VNet
Nothing in Microsoft gets replaced. Everything gets connected
Lyzr deploys inside your Azure VNet. Azure OpenAI stays primary. Your data never leaves your boundary. Lyzr adds the production layer above — and extends governance to every other agent system you run.
Copilot Studio agents and Foundry agents stay exactly where they are. Azure OpenAI stays primary. Lyzr connects your Microsoft agent layer to every other agent system in your enterprise — adding orchestration, memory, simulation, and governance, without any data leaving your Azure boundary.
Six capabilities your Microsoft AI program needs to reach production scale
Every module runs inside your Azure VNet, alongside Microsoft’s native stack. Not a replacement. A multiplier.
SuperFlow: Hybrid Orchestration
The only canvas that brings LangChain pipelines, Microsoft AI Agents, and new-generation architectures (GitAgent, OpenClaw) into one versioned, deployable workflow. Your past investment. Your next step. One place.
Microsoft-Specific UnlockCognis: Enterprise Memory
92.4% accuracy on LongMemEval — the benchmark that measures how well agents maintain context across complex, long-running enterprise sessions. Available as a service for any agent stack inside your VNet.
Memory LayerASIM: Pre-Production Simulation
Test agents against real-world scenarios at scale before they touch production traffic. Stress test reasoning, validate against business outcomes, catch policy violations — before your users or regulators do.
Risk ReductionAgent CI/CD with Rollback
A real deployment pipeline for agents: non-prod → pre-prod → production, with security and compliance approvals built in. Every release versioned. Every deployment instantly reversible. Available today, not on a roadmap.
Deployment SafetyGraphRAG over Fabric & SharePoint
Knowledge graphs derived from your Fabric and SharePoint corpora — enabling agents to reason across heterogeneous enterprise data with multi-hop retrieval, not just vector similarity search.
Enterprise RetrievalContinuous Improvement Engine
RL-based drift detection that identifies when agent behaviour shifts from intent and corrects it automatically — without a ticket, without a sprint. Agents that compound in quality over time, not just at launch.
Continuous QualityThe production stack is the bottleneck. Not the model
Building production agents on Azure AI Foundry alone means standing up around 14 separate platforms — each a security review, an integration, and something to keep in sync. Most programs never make it past the prototype. Lyzr collapses that into one.
14 platforms. 14 security reviews. Months before go-live.
One platform. One security model. Production in 48 hours.
Projects reach production. vs. under 30% industry average. The difference is a real production layer, not 14 tools to integrate by hand.
Blank canvas to governed deployment. From architecture review to a running, simulated, governed agent inside your Azure VNet.
Platforms collapsed into one. One security model. One audit trail. One development experience — running inside your boundary.
What this means for the people who are accountable for delivery
Full agent governance — without leaving your Azure boundary.
- Your data stays in your Azure VNet or on-prem. Lyzr deploys inside your boundary. No data egress, no shadow tenancy, no compliance conversation you weren’t expecting.
- Time to production cut from quarters to weeks — with a CI/CD pipeline your security and compliance teams can actually approve, not a bespoke one built per engagement.
- One governance model across your entire agent system: Copilot Studio, Foundry agents, Agentforce, ServiceNow, Databricks. One audit trail. One entitlement model evaluated at runtime. One place to look.
- Lower inference cost: Azure OpenAI reserved for high-stakes, long-context reasoning. Six Sigma architecture patterns put smaller, cheaper models to work everywhere else — measurably reducing inference TCO.
- Drift, hallucination, and policy violations caught and remediated continuously — before they become postmortems or regulatory findings.
Turn every Microsoft AI engagement into a reusable delivery practice.
- Higher margin per Microsoft AI engagement — the production layer is no longer bespoke custom work each time. Build it once on Lyzr. Deploy it across every client in your Microsoft practice.
- Protect your clients’ existing LangChain and Microsoft AI Agent investments. SuperFlow brings prior-generation agents forward — so clients don’t face a rip-and-replace conversation, and you don’t lose the relationship.
- Commit to production SLAs on agentic engagements with confidence. Simulation, CI/CD, and continuous improvement are built into the platform — not something your team has to engineer from scratch per project.
- A defensible joint-GTM story with Microsoft account teams. Lyzr is additive to Azure AI Foundry and Copilot Studio — it strengthens the Microsoft position and makes your delivery practice the obvious choice for clients who want to go further.
Enterprise-ready on day one · Azure VNet-native deployment
Microsoft and Lyzr, better together.
Architecture reviews are scoped to your current Microsoft footprint — Copilot Studio, Foundry, and your existing agent investments. A working reference deployment in your Azure environment within four weeks.