What challenges did Wave Group face before AI implementation?

Orchestrating intelligent action across siloed, distributed enterprise systems without disrupting core platforms. Limited end-to-end visibility and slow decision cycles across finance, sales, HR, and operations.

What was the impact of the AI solution?

Business users can now receive cross-functional answers in seconds rather than relying on manual reporting cycles. The implementation eliminated data silos, improved resilience, and accelerated adoption through secure, auditable AI outputs.

Source

The Wave Group: agentic orchestration with watsonx Orchestrate across fragmented enterprise systems

Use case typeAgent orchestrationUpdated Apr 24, 2026

Wave Group implemented an agentic orchestration pattern using IBM watsonx Orchestrate to layer intelligence across existing systems, connect 11 enterprise data sources through API-driven integration, and create a governed data foundation for structured and unstructured data. The architecture uses domain-specific AI agents to route queries, reason across functions, and provide role-based, source-grounded responses without replacing SAP, Oracle, Salesforce, and other core systems.

Organization: Wave Group
Industry: Other
Location: India
Published: April 2026

Reported outcomes

Strategic outcomes

Better decisions & insightReduced time from question to actionable insightCost efficiencyEnabled cross-functional answers in secondsOther strategic outcomeEliminated data silos and created a resilient digital backboneRisk & complianceEmbedded secure, compliant, auditable AI interactions

Primary read

Use case focus

Showing 3 of 3

1Agent orchestration
2Workflow orchestration
3Decision support

Orchestrating intelligent action across siloed, distributed enterprise systems without disrupting core platforms.
Limited end-to-end visibility and slow decision cycles across finance, sales, HR, and operations.

Implemented IBM watsonx Orchestrate as an orchestration layer on top of existing enterprise systems.
Built a hybrid architecture with API-driven integration across 11 data sources, IBM Cloud Object Storage, and watsonx.data.
Deployed domain-specific AI agents with governance, explainability, validation, and human oversight.

Technologies

IBM watsonx Orchestrate IBM watsonx.data IBM Cloud Object Storage

Business users can now receive cross-functional answers in seconds rather than relying on manual reporting cycles.
The implementation eliminated data silos, improved resilience, and accelerated adoption through secure, auditable AI outputs.

Architecture

A layered hybrid orchestration architecture on IBM watsonx platform. watsonx Orchestrate serves as the intelligence coordination layer over existing SAP, Oracle, Salesforce, Microsoft Project, SuccessFactors, and other domain systems. Data from 11 core sources is abstracted through standardized APIs into a governed foundation using IBM Cloud Object Storage and watsonx.data, then activated by domain-specific AI agents that route queries, reason across functions, and deliver role-based, source-grounded responses with governance, explainability, validation, and human oversight.

Implementation partners1

Gadiel Technologies

Sources & evidence1

Groundedness: 5/5Type: Blog PostPublished: Apr 24, 2026Publisher: IBMEvidence: VendorConfidence: Medium

Primary source

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