Deloitte x Lyzr: Choosing Agentic AI That Scales | Case Study
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Strategic Partnership · Professional Services & AI Consulting
Deloitte chooses Lyzr to build AI agents that survive production, not just pilots
When Deloitte’s AI & Engineering practice needed a platform to deliver cross-industry agentic AI at scale, Salesforce Agentforce’s walled-garden architecture and unpredictable consumption pricing couldn’t meet the requirement.
Lyzr’s open, governed, infrastructure-first platform moved 14 enterprise agents into production in under six weeks, spanning financial services, healthcare, and government verticals.
Why This Partnership Works
Where Deloitte’s reach meets Lyzr’s infrastructure depth
Deloitte brings 460,000 professionals, $70.5B in annual revenue, and decades of enterprise transformation expertise. Lyzr brings the production-grade agent OS to run inside it all.
No Vendor Lock-In
Open-Core, Client-Owned Infrastructure
Lyzr’s open-source core framework ensures Deloitte retains full IP ownership for every client deployment, eliminating the Agentforce license dependency that compounds at enterprise scale.
Compliance-First
Governance Built into Every Agent
Deloitte’s Trustworthy AI framework maps directly to Lyzr’s built-in Safe AI and Responsible AI modules, providing audit-ready governance across financial services, healthcare, and public sector mandates.
Speed to Market
Weeks to Production, Not Quarters
Lyzr’s Agent Simulation Engine pre-battles agents across 10,000 simulated scenarios before go-live, collapsing the typical enterprise AI pilot-to-production timeline from six months to six weeks.
Multi-Vertical Delivery
One Platform Across Every Industry
With 100+ production-ready agents spanning banking, insurance, HR, and government, Lyzr gives Deloitte a single infrastructure layer to deliver agentic AI across its entire client portfolio simultaneously.
The Challenge
Deloitte needed agents that could leave the building, not just run inside Salesforce
Deloitte’s Applied AI practice serves nearly 90% of the Fortune 500, spanning financial services, healthcare, government, and retail. Its clients demanded agentic AI deployments that ran inside their own cloud environments, passed internal security audits, and complied with vertical-specific regulations from HIPAA to EU AI Act mandates.
When the team evaluated Salesforce Agentforce, they encountered a fundamental mismatch: the platform enforces strict architectural boundaries, limiting each agent to 15 topics and 15 actions, and requires Data Cloud as a prerequisite, effectively doubling licensing costs before a single agent goes live.
More critically, Agentforce’s shared-infrastructure model meant client data could not be isolated inside customer-controlled VPCs, a non-starter for regulated industries where Deloitte has its deepest mandates. The consumption-based pricing model, starting at $2 per conversation, created budget unpredictability that made ROI commitments to enterprise clients impossible to guarantee.
Walled-Garden Architecture
Agentforce capped agent complexity at 15 topics and 15 actions, blocking the multi-departmental, cross-system workflows Deloitte clients required.
Unpredictable Cost Spiral
The $2/conversation consumption model combined with mandatory Data Cloud licensing routinely tripled effective per-user costs as deployments scaled beyond pilot scope.
Data Sovereignty Failure
Regulated clients in banking and healthcare could not host agent infrastructure inside their own VPCs, making Agentforce architecturally incompatible with compliance requirements.
Salesforce-Only Ecosystem
Deep Salesforce dependency prevented agents from reasoning across SAP, ServiceNow, Workday, and other core enterprise stacks that dominate Deloitte client environments.
The Solution
Lyzr’s Agentic OS deployed across six client verticals in a single quarter
Deloitte selected Lyzr as its white-label agent infrastructure backbone, deploying a fleet of 14 purpose-built agents that run natively within client VPCs and integrate across the full enterprise technology stack.
Financial Services
KYC & Regulatory Monitoring Agents
Autonomous agents continuously screen client onboarding data against global sanctions lists, flag anomalies in real time, and auto-draft compliance narratives for human review, cutting KYC cycle times by an estimated 58%.
Healthcare & Life Sciences
Clinical Workflow & Audit Intelligence
HIPAA-compliant agents deployed inside client EHR infrastructure surface billing anomalies, automate prior authorization steps, and generate audit-ready documentation without data leaving the client environment.
Government & Public Sector
Citizen Services Orchestration
Multi-agent systems triage inbound citizen queries across channels, orchestrate case routing to the correct government department, and draft response communications, handling up to 80% of L1/L2 volume autonomously.
Human Capital
AI-Driven Workforce Planning Agents
Lyzr-powered workforce agents integrate with Workday and SAP SuccessFactors to automate performance review cycles, flag skills gaps against project demand, and generate staffing scenarios for HR leadership in real time.
Audit & Tax Advisory
Agentic Audit Data Intelligence
Inspired by EY’s 1.4-trillion-line audit platform benchmark, Deloitte deployed Lyzr agents that process structured and unstructured financial data at scale, generating risk narratives and exception reports without manual analyst effort.
Agentic Platform Layer
Lyzr Architect: The Orchestration Core
Lyzr’s “The Architect” system reads Deloitte’s automation requirements, selects the right orchestration pattern and models, and generates agent prompts and tool chains, reducing agent build time from weeks to days per deployment.
Delivery Methodology
From contract signed to agent in production, in six weeks
Lyzr’s Agent Development Life Cycle (ADLC) is engineered to eliminate the months-long proof-of-concept trap that derails most enterprise AI programs.
Week 1 – 2
Discovery & Requirements Architecture
Lyzr’s Agent Architects embed with Deloitte’s vertical teams to map target workflows, identify integration touch points across SAP, Workday, Salesforce, and ServiceNow, and produce a full product requirements document for each agent. Data sovereignty and compliance constraints are mapped before a single line of code is written.
Week 3 – 4
Agent Build & Simulation Testing
Agents are built using Lyzr’s HybridFlow Orchestrator and battle-tested through the proprietary Agent Simulation Engine, which runs up to 10,000 real-world edge-case scenarios. Hallucination Manager modules are embedded at the core architecture layer to meet Deloitte’s Trustworthy AI compliance standards before any client exposure.
Week 5
Compliance Audit & VPC Deployment
Each agent deployment undergoes Vulnerability Assessment and Penetration Testing (VAPT) inside the client’s own cloud environment. Lyzr’s SOC 2, ISO 27001, and GDPR certifications provide the compliance foundation, while client-controlled VPC hosting ensures 100% data privacy and IP ownership remains with the end client.
Week 6
Production Go-Live & AI Ops Handover
Agents go live with full observability dashboards, traceability logs, and real-time performance monitoring embedded in Deloitte’s delivery operations. Lyzr’s Orchestration as a Service layer handles continuous connector updates as enterprise SaaS APIs evolve, eliminating the ongoing maintenance burden that plagues static agent deployments.
Week 7+
Scale & Agent Mesh Expansion
With the first agents in production, Deloitte scales horizontally across additional business functions, connecting agents into a cross-department orchestration mesh. HR agents notify Finance payroll systems; compliance agents feed into risk dashboards; customer service agents escalate to specialist workflow agents, building a connected AI workforce rather than isolated bots.
Technical Architecture
A full-stack agent infrastructure that neither Agentforce nor LangChain alone could provide
Lyzr occupies the critical intersection of framework-level flexibility and enterprise-grade infrastructure, running inside the client’s own environment end to end.
Layer 1
Enterprise Data Sources
SAP, Workday, Salesforce, ServiceNow, EHRs, internal knowledge bases, and structured/unstructured document repositories.
Layer 2
AutoRAG + Knowledge Graph
Lyzr’s AutoRAG pipelines build contextual memory for each agent, with Knowledge Graph modules enabling multi-hop reasoning across data silos.
Layer 3
Lyzr HybridFlow Orchestration
The Architect selects orchestration patterns, assigns models, and coordinates multi-agent workflows with built-in Safe AI and Hallucination Manager modules.
Layer 4
Governance & Compliance
SOC 2, ISO 27001, GDPR, and HIPAA controls enforced at the infrastructure layer. VAPT-tested VPC deployment. Full audit trail and observability.
Layer 5
Production Agent Outputs
Workflow actions, compliance narratives, case resolutions, and decision support delivered into Slack, Teams, Salesforce, SAP, or any enterprise interface.
Platform Comparison
Why Lyzr won the enterprise evaluation
Deloitte’s AI & Engineering team ran a structured platform bake-off across eight critical enterprise criteria. The results were decisive.
| Evaluation Criterion | Lyzr Agentic Platform | Salesforce Agentforce |
|---|---|---|
| VPC / Private Cloud Deployment | Full VPC isolation, client-owned environment | Shared Salesforce infrastructure only |
| Multi-Stack Integration | SAP, Workday, ServiceNow, any API via MCP + A2A | Primarily Salesforce ecosystem, third-party via MuleSoft |
| Compliance Certifications | SOC 2, ISO 27001, GDPR, HIPAA-ready | SOC 2, limited HIPAA, dependent on org configuration |
| Agent Complexity Ceiling | Unlimited topics, actions, and cross-agent orchestration | 15 topics / 15 actions per agent architectural limit |
| Pricing Predictability | Fixed platform pricing, no per-conversation charges | $0.10/action consumption model, unpredictable at scale |
| Open-Source Core / IP Ownership | Open-source framework, full client IP ownership | Fully proprietary, Salesforce retains platform control |
| Agent Simulation Before Deployment | 10,000-scenario simulation engine pre-production | Manual testing environments, no automated simulation |
| Time to First Production Agent | 4 – 6 weeks end-to-end | 6 – 12 weeks with Salesforce org dependency |
Measured Results
Six weeks of delivery. A year’s worth of impact.
Outcomes measured across the initial 14-agent production deployment spanning financial services, healthcare, and government clients. Projections based on six-month post-deployment trajectory.
The fundamental requirement for our regulated clients was not just an AI agent, it was an AI agent that lives inside their environment, survives their security audit, and answers to their compliance team. Lyzr was the only platform we evaluated that treated that as a first principle rather than a configuration option.
Senior Managing Director, Applied AI & Engineering Practice Deloitte Consulting LLP | Global Technology & Transformation
Platform Capabilities
The Lyzr infrastructure layer that makes enterprise AI real
Lyzr’s full-stack agent infrastructure is purpose-built for the governance, integration complexity, and compliance demands that define large-enterprise deployments.
Multi-Agent Orchestration
HybridFlow Orchestrator
Coordinates fleets of specialized agents that hand tasks across functions, supporting cross-department workflows impossible within single-agent CRM tools.
Learn moreResponsible AI at Core
Safe AI & Hallucination Manager
The only agent framework to natively embed Safe AI and Responsible AI modules at the core architecture layer, not as an add-on, giving Deloitte’s Trustworthy AI framework a direct technical implementation.
Learn moreKnowledge Infrastructure
AutoRAG + Knowledge Graph
Pre-built RAG pipelines and Knowledge Graph modules give agents persistent, contextual memory across structured and unstructured enterprise data, without building from scratch.
Learn moreZero Trust Deployment
VPC-Native, Client-Controlled
Every agent fleet runs inside the client’s own cloud environment. SOC 2, ISO 27001, and GDPR-certified. VAPT-tested before go-live. No data ever leaves the client perimeter.
Learn morePre-Production Assurance
Agent Simulation Engine
Runs 10,000 real-world simulations per agent to battle-test edge cases, identify failure modes, and harden agent behavior before any client-facing deployment.
Learn moreObservable AI Ops
Agent Studio + Full ADLC
End-to-end Agent Development Life Cycle tooling with traceability dashboards, real-time performance monitoring, API management, and continuous connector updates as enterprise SaaS stacks evolve.
Learn moreReady to move?
Move your enterprise AI from pilot to production
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