Turn Agentforce and AI into action.
Targeted AI use cases, grounded in real processes, governed data and clear controls. Our objective is to reduce manual intervention while keeping governance, security and control intact.
What an agent needs before it ships
- Trusted data from Data 360 and connected sources.
- Business context from processes, knowledge and operating rules.
- Governance that covers security, controls and clear ownership.
- Automation scoped to the actions, workflows and integrations it may use.
Practical use cases with a clear operating owner.
We prioritize workflows where context is available, actions are definable and the business can measure whether the agent is actually helping.
Case triage & resolution support
Use customer context, knowledge and case history to classify work, draft responses and route or execute approved actions.
Sales research & follow-up
Summarize account context, prepare next steps, update records and support consistent follow-through around opportunities.
Enterprise search & Q&A
Ground answers in approved data and content, with clear provenance and access aligned to the user asking.
Insight-to-action agents
Move from a detected change in a metric to an explanation, a recommended next step and controlled workflow execution.
Approvals & task orchestration
Coordinate multi-step work across Salesforce and connected systems while preserving checkpoints and accountability.
Employee copilots
Reduce navigation and repetitive work by bringing context, policy and operational actions into one conversational interface.
Prove value without skipping control.
Start narrow, learn from real behavior, then expand deliberately. Autonomy is earned, not configured.
Choose a high-value, bounded workflow
Define the job, the owner, inputs, outputs and success criteria. Just as important, define what the agent must never do.
Fix the context and action layer
Data access, knowledge, semantic meaning, Flow and integrations are prepared before prompting becomes the focus.
Design for normal and abnormal behavior
We test grounding, permissions, tool usage, handoffs, edge cases and observability alongside the happy path.
Measure, learn and expand
Usage and outcomes inform prompt, data, workflow and guardrail changes before any new autonomy is introduced.
Automation gets safer as the foundation gets clearer.
We use this stack to identify what has to be ready before a use case moves from demo to production.
Have an Agentforce idea but not the production path?
We can turn the idea into a governed use case with the data, actions and controls it needs to survive contact with real users.