KPMG x Lyzr AI — Agentic Platform Case Study
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STRATEGIC PARTNERSHIP · PROFESSIONAL SERVICES
KPMG chooses Lyzr’s Agentic OS over Agentforce to power governed, multi-stack AI at global scale
With 275,000 professionals across 143 countries and a Trusted AI mandate at the core of every engagement, KPMG needed a platform that could orchestrate AI agents across heterogeneous stacks, enforce compliance by design, and deliver to production in weeks, not quarters.
WHY THIS PARTNERSHIP WORKS
Where advisory depth meets agentic infrastructure
KPMG’s mandate of “revolutionary, responsible, ready” AI aligns precisely with Lyzr’s architecture, where governance is not a layer added on top, but a structural property of every agent deployed.
No Ecosystem Lock-In
KPMG operates across Oracle, ServiceNow, Microsoft, and SAP stacks simultaneously. Lyzr is fully platform-agnostic, letting agents run wherever the work runs without forcing a Salesforce-centric dependency.
Governance by Architecture
KPMG’s Trusted AI framework demands audit trails, RBAC, and human-in-the-loop controls on every workflow. Lyzr’s GitClaw delivers full traceability as a structural property, not an afterthought.
Weeks to Production
Using Lyzr’s low-code Agent Studio and pre-built orchestration patterns, KPMG teams moved client-facing agents from concept to production deployment in under six weeks, versus months on alternative platforms.
Client Data Stays Private
With Lyzr’s private VPC deployment model, all client data is encrypted, anonymized, and processed within KPMG’s own cloud perimeter, critical for audit, tax, and advisory confidentiality.
THE CHALLENGE
A heterogeneous enterprise cannot be governed by a single-stack agent platform
KPMG’s global AI ambition, anchored in its Agentic AI Advantage strategy, required deploying orchestrated agent ecosystems across audit, tax, ESG, risk, and advisory functions simultaneously.
When KPMG evaluated Agentforce, the Salesforce-native design created immediate friction: connecting to Oracle, SAP, and ServiceNow required MuleSoft middleware, introducing both latency and escalating integration costs. Customization beyond prebuilt templates required deep Salesforce development expertise that was not scalable across 143 countries.
The per-conversation pricing model at $2 per interaction quickly became untenable for high-volume advisory workflows, where an audit agent might execute hundreds of sub-tasks within a single engagement.
KPMG’s Q4 AI Pulse research confirmed that 65% of enterprise leaders cite agentic system complexity as a top barrier, and 75% prioritize security, compliance, and auditability as the most critical requirements for agent deployment.
Agentforce’s governance model, while enterprise-ready within Salesforce infrastructure, could not produce the unified audit trail across the full heterogeneous stack that KPMG’s own Trusted AI framework mandated for client-facing deployments.
Ecosystem Lock-In
Agentforce required full Salesforce ecosystem buy-in, misaligned with KPMG’s multi-vendor client environments.
Escalating TCO
Per-request pricing and mandatory add-on licenses made cross-department agent scaling prohibitively expensive.
Fragmented Governance
No unified control plane across frameworks, creating siloed agents with inconsistent guardrails and no central audit trail.
Data Sovereignty Risk
Client confidential data transiting Salesforce-managed infrastructure conflicted with KPMG’s privacy-first service obligations.
THE DECISION
A head-to-head evaluation that favored platform agnosticism and governed autonomy
KPMG’s technology evaluation team conducted a structured eight-week bake-off across six dimensions that matter in regulated professional services environments.
| Evaluation Criteria | Lyzr Agentic OS | Salesforce Agentforce |
|---|---|---|
| Stack Flexibility | ✓ Fully platform-agnostic, runs across Oracle, SAP, ServiceNow, Azure, AWS, GCP and any custom stack without middleware dependency. | ✗ Deep Salesforce ecosystem dependency. Non-Salesforce integrations require MuleSoft or custom development, adding cost and complexity. |
| Governance and Auditability | ✓ GitClaw provides git-native audit trails, a unified GitAgent Registry, and centralized guardrail enforcement across every agent, regardless of the underlying framework used to build it. | ✗ Governance confined to Salesforce infrastructure perimeter. Cannot produce a unified audit trail across multi-framework, multi-cloud agent fleets. |
| Data Sovereignty | ✓ Private-first architecture. All data encrypted and processed within the client’s own VPC. SOC 2, GDPR, HIPAA, and ISO 27001 compliant by design. | ~ Enterprise-ready compliance within Salesforce-managed cloud. Data sovereignty limited when processing occurs outside the client perimeter. |
| Total Cost of Ownership | ✓ Transparent, predictable pricing with no forced ecosystem buy-in. No escalating per-seat or per-request fees across multi-department deployments. | ✗ $2/conversation base rate, additional licensing for Salesforce clouds, and MuleSoft add-ons make large-scale deployment significantly more expensive over time. |
| Multi-Framework Orchestration | ✓ Natively orchestrates agents built on LangGraph, CrewAI, or any other framework via Proxy Agent conversion, without requiring a full rebuild of existing agent investments. | ✗ Primarily orchestrates within the Salesforce ecosystem. Cross-framework agent coordination requires significant custom integration work. |
| Time to Production | ✓ Low-code Agent Studio, pre-built enterprise templates, and expert agent architects enabled KPMG to move from concept to live production agent in under six weeks. | ~ Fast time-to-value for Salesforce-native workflows, but slower for heterogeneous environments requiring custom integration and extended development cycles. |
THE SOLUTION
Deploying a governed, multi-agent OS across KPMG’s audit, tax, ESG, and advisory functions
Lyzr’s Agentic OS was deployed inside KPMG’s private cloud environment, with every agent governed through GitClaw’s centralized control plane and connected to KPMG’s existing enterprise stack without any rip-and-replace.
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