Introduction
Enterprise AI teams are hitting a wall. Their models can reason, but the workflows underneath them were never built for agents. Tasks fail, handoffs break, and the problem compounds as organizations push agents deeper into back-office systems. Salesforce's new Agentforce Operations platform addresses this by providing a workflow execution control plane that imposes deterministic structure on processes. This guide will walk you through using Agentforce Operations to transform your broken workflows into efficient, agent-ready processes.
What You Need
- A Salesforce account with access to Agentforce Operations (contact your Salesforce representative if needed)
- Existing enterprise workflows documented (process diagrams, product requirements documents, or step-by-step instructions)
- Clear understanding of which processes are causing failures (e.g., task handoffs, ambiguous steps)
- Access to your product requirements documents (PRDs) and other workflow descriptions
- A team member who understands the current process and can validate changes
Step-by-Step Guide
Step 1: Identify Workflows That Are Breaking Your AI Agents
Start by examining the processes where agents are failing. Common signs include tasks not completing, incorrect outputs, or excessive cost without improvement. According to Sanjna Parulekar, Salesforce SVP of Product, brokenness often originates in your product requirements document. Look for loosely defined steps, implicit decisions, and handoffs that rely on human judgment. Document these pain points—they are your candidates for rework.
Step 2: Upload Your Existing Workflow or Choose a Blueprint
In Agentforce Operations, you can either upload your current process (e.g., a PRD or process diagram) or select one of the provided Blueprints from Salesforce. Uploading your own workflow allows the system to analyze and break it down into explicit steps. If you're starting fresh or want a best-practice template, the Blueprints offer pre-built workflows for common back-office tasks. Choose the option that best fits your needs.
Step 3: Let Agentforce Operations Decompose the Workflow
Once your workflow is uploaded, Agentforce Operations will automatically break it down into a set of discrete tasks that specialized agents can execute. The system introduces a deterministic structure—agents no longer decide what to do next; the system enforces a predefined sequence. This eliminates the probabilistic decision-making that causes failures in traditional automation. Review the decomposed tasks to ensure they capture the intended process.
Step 4: Optimize the Workflow by Removing Human Judgment Gaps
Your existing workflow likely includes steps that rely on human intuition or implicit knowledge. Parulekar advises: “We can optimize it and cut out some things and replace it with an agent.” Look for ambiguous transitions, manual approvals that can be automated, and steps that assume context not available to the agent. Use the session tracing model in Agentforce Operations to observe how tasks flow and identify bottlenecks. Remove or replace steps that don't make sense for a machine executor.
Step 5: Add Human Checkpoints for Transparency
Even the best automated workflows benefit from human oversight. Agentforce Operations allows you to build human checks into the system. This adds observability and transparency—you can see exactly where each session is in the process. Parulekar emphasizes that this “forces companies to rethink their processes and introduces observability.” Set up approval gates or review points at critical junctures to prevent errors from scaling.
Step 6: Test and Validate the New Workflow
Deploy the optimized workflow in a controlled environment. Monitor how agents execute each task using the built-in session tracing. Compare the results to your original process—are costs reduced? Are handoffs smooth? If a process had flawed steps, encoding it for agents can lock in problems at scale, so validation is critical. Iterate on steps that still cause issues, using the insights from tracing to refine further.
Step 7: Roll Out and Monitor Continuously
Once validated, roll out the workflow across your enterprise. Continuously monitor agent performance and workflow efficiency. The deterministic structure ensures agents know their specific tasks, but business processes evolve. Use Agentforce Operations’ observability features to detect new breakpoints and update the workflow as needed. This is not a one-time fix—it’s an ongoing optimization cycle.
Tips for Success
- Start small: Pick one problematic workflow to test the approach before scaling.
- Involve process owners: The people who designed the original workflow can spot hidden dependencies.
- Don’t ignore broken processes: If a workflow is flawed, automating it with agents makes it worse. Fix the process first, then encode it.
- Use blueprints as a starting point: Salesforce-provided Blueprints can save time and incorporate best practices.
- Leverage session tracing: This tool gives you unparalleled visibility into agent behavior—use it regularly.
- Plan for human oversight: Even with deterministic systems, human checkpoints prevent costly errors.
- Think long-term: As your AI agents become more capable, revisit workflows to add further automation.
By following these steps, you can move from broken, human-oriented workflows to optimized, agent-ready processes that reduce costs and improve reliability—without the walls that stop many enterprise AI initiatives.