Build, deploy, and govern AI agents that operate across your revenue stack. Dhisana connects business context, policies, and systems so every agent can reason and act with enterprise control.
Just as Agentforce provides a platform for agents across Salesforce, Dhisana provides a governed agentic layer across the data, systems, and playbooks that run revenue—from first signal through pipeline and expansion.
Dhisana is the intelligence and action layer for revenue. Specialized agents share enterprise context, approved tools, and operating boundaries across the systems your teams already use.
Coordinate specialized agents across multi-step revenue workflows instead of automating isolated tasks.
Ground every agent in customer data, institutional knowledge, account history, and approved playbooks.
Apply permissions, business rules, approval points, and traceability before agents take action.
Connect intelligence to action across CRM, data, engagement, collaboration, and proprietary systems.
Adapt agents to business units, regions, segments, and operating models without rebuilding the platform.
Evaluate agent performance against the business outcomes and service levels revenue leaders manage.
The platform decisions behind a production agent strategy
Dhisana is the agentic layer across your revenue stack. Systems of record store data. Point tools automate a narrow task. Dhisana gives multiple revenue agents shared context, governed actions, and orchestration across an end-to-end workflow.
No forced replacement is required. Dhisana is designed to work across the enterprise stack. It complements CRM-native capabilities with a revenue-specific agentic layer that spans data and workflows beyond any single application boundary.
Yes. Dhisana is designed to orchestrate workflows across the systems your revenue organization already operates:
The platform connects the stack rather than forcing another system migration.
Begin with a defined, high-value workflow. Establish its business outcome, required systems, decision points, and operating controls. Once validated, reuse the same platform foundation across additional teams, regions, and revenue motions.
Yes. Enterprise deployments are planned around the systems, data boundaries, governance requirements, and ownership model already in place. Dhisana provides the agentic layer without requiring the business to redesign its entire technology estate.
Dhisana combines deterministic workflow logic with AI reasoning where it adds value. Critical actions can remain constrained by enterprise-defined rules and approval points.
The result is agentic execution with the structure required for operational accountability.
People set objectives, define policy, handle exceptions, and own outcomes. Agents execute repeatable research, coordination, and system actions so teams can focus on judgment, relationships, and strategic decisions.
Governance is designed into the workflow. Teams define the data an agent can use, the actions it can take, the rules it must follow, and where a person must approve or handle an exception.
Agents operate within the same enterprise policies and accountability model as the revenue process they support.
Proven agents become reusable operating patterns. Platform controls, integrations, and workflow components can be extended across business units while maintaining centralized standards and local process requirements.
Business and technology teams govern the platform together. Revenue leaders define outcomes and playbooks. Operations teams design workflows. Technology and security teams establish integration, access, and governance standards.
Adopt agents as a managed operating capability. Define ownership, success measures, controls, and escalation paths for each workflow before expanding it.
A repeatable rollout includes:
Extend the enterprise stack with a shared agentic layer rather than another isolated application
Point solutions automate within a single application or task. Dhisana coordinates agents across systems, data sources, and lifecycle stages.
The result is shared context and governance across complete revenue workflows.
Revenue work spans CRM, data platforms, engagement systems, collaboration tools, and proprietary applications.
Dhisana gives agents the business context required to operate across that environment.
Agentforce provides an agent platform across Salesforce. Dhisana applies the same platform logic to revenue workflows that cross the broader enterprise stack.
It brings revenue-specific orchestration, context, and controls into one agentic layer.
As use cases multiply, enterprises need common rules, permissions, approvals, and operating visibility.
Dhisana provides a shared control plane for how revenue agents access context and take action.
The criteria that determine whether agents can move from pilot to enterprise operating capability
| Evaluation Area | Point-Solution Approach | Dhisana Platform Approach |
|---|---|---|
| Scope | Optimizes one isolated task | Orchestrates complete revenue workflows across systems |
| Context | Uses application-specific data | Grounds agents in shared customer, business, and workflow context |
| Governance | Controls vary by tool and workflow | Applies common policies, permissions, approvals, and oversight |
| Extensibility | New use cases require another product | Composes new agents on the same platform foundation |
| Operating Model | Teams run disconnected experiments | Business and technology leaders scale agents through a shared control plane |
| Enterprise Fit | Requires process or system replacement | Extends existing architecture, policies, and systems of record |
Align the first deployment around business value, architecture, and governance
Map one priority revenue workflow, the systems it touches, and the controls required to move it into production.