What challenges did Infosys face before AI implementation?

Clients face complex business transformations requiring cloud ERP adoption. Need to implement clean core principles while supporting unique workflows. Business stakeholders demand clarity on cost, risk, and timeline for transformation projects. Manual processes led to billing errors and inefficiency in service delivery.

What was the impact of the AI solution?

30% reduction in billing errors for a utility company. Enhanced customer satisfaction and workflow efficiency.

Source

MicrosoftEvidence: Low35/100

Infosys delivers AI-driven ERP transformation and workflow efficiency

Use case typeEnergy operations automationUpdated Jun 13, 2026

Infosys, in partnership with SAP, achieved SAP-validated partner status for RISE with SAP, providing standardized and scalable cloud ERP transformation for clients. The implementation leverages AI-first strategies, integrating solutions such as Infosys Cobalt and SAP Business Technology Platform (BTP) to modernize and optimize business workflows. AI-infused industry playbooks and solutions enable rapid adoption of cloud ERP, delivering tangible value by enhancing customer experience and minimizing errors. AI is embedded across services—code generation, knowledge acquisition, and industry-specific workflow automation—to deliver improved productivity and accelerated execution. The partnership ensures organizations can uphold clean core principles while maintaining their business process uniqueness. A utility company reported a 30% reduction in billing errors using AI-driven predictive insights. The collaboration enhances client confidence, streamlines transition strategies, and enables measurable business outcomes in complex transformation environments.

Organization: Infosys
Industry: Professional Services
Location: Global
Published: March 2025

Reported outcomes

Accuracy: −30%

Quality & accuracy

Catalog median for quality & accuracy deployments: −30% across 22 reported metrics. Compare benchmarks →

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Accuracy: 30% decrease

cloudwars.comMar 5, 2025UnknownInferred claimLow evidence strength

30% reduction in billing errors for a utility company.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Infosys
Provider: Microsoft
Maturity: Unknown
Linked source: cloudwars.com

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 3

1AI-driven Cloud ERP Transformation
2Predictive Billing Error Reduction in Utilities
3Industry-specific Workflow Automation via SAP BTP

Infosys achieved SAP-validated partner status for RISE with SAP for predictable cloud ERP transformation.
Leveraged Infosys Cobalt and SAP BTP to deliver AI-driven workflow modernization and industry playbooks.
AI is embedded into ERP transitions—covering automation, code generation, and knowledge acquisition.
Client-specific AI accelerators power measurable benefits such as predictive insights and error reduction.

Technologies

SAP BTP Infosys Cobalt Azure AI

30% reduction in billing errors for a utility company.
Enhanced customer satisfaction and workflow efficiency.

Architecture

The architecture combines Infosys Cobalt with SAP Business Technology Platform (BTP), embedding AI-driven modules into ERP services. Infosys deploys industry-specific playbooks with AI accelerators, using BTP to maintain clean core principles. Predictive analytics modules provide real-time customer insights and workflow optimization, integrated into client ERP environments.

Sources & evidence1

Evidence: Low35/100Evidence strength