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Credits power the core of Salesforce's Agentforce 360 platform, unlocking AI agents that handle everything from customer interactions to internal workflows. These credits fuel features like autonomous agents, real-time decision-making, and seamless integrations across your Salesforce ecosystem. But managing them effectively is key—poor planning can lead to underused resources or cost overruns that upend budgets and incur executive scrutiny.
To help you get the most out of Agentforce, here are five actionable tips for planning and optimizing your Agentforce 360 credit consumption. Each one builds on a foundational understanding of how credits work within the Agentforce framework, ensuring your AI investments align with real-world needs.
The first step in effective consumption planning is pinpointing what drives your Agentforce 360 credit usage. Not all Agentforce features consume credits equally—some are lightweight, while others can add up quickly during high-volume scenarios.
For instance, AI-driven actions like generating personalized responses in Agentforce Service Agents or analyzing customer sentiment in real-time chats often require more credits than basic routing tasks. Dive into your Agentforce analytics to review metrics such as agent invocations per session or data processing loads. Look at patterns: Does usage spike during end-of-quarter reporting when Agentforce agents handle sales forecasting? Or is it steady but intensive in customer support channels?
By mapping these drivers, you can create a baseline model. Use Agentforce's built-in reporting tools to simulate scenarios—say, increasing chat volume by 20%—and estimate credit burn rates. This insight prevents surprises and sets the stage for smarter allocation in the tips that follow.
Once you know your drivers, tie them directly to what matters most in your organization. Agentforce 360 credits aren't just a budget line—they're a strategic asset for amplifying high-value outcomes.
Consider prioritizing credits for Agentforce agents that automate critical paths, like resolving complex service tickets autonomously or qualifying leads in sales pipelines. For example, during a marketing campaign, allocate more credits to Agentforce Marketing Agents for dynamic content personalization, which could boost conversion rates by targeting the right audiences at scale.
To make this alignment concrete, rank your use cases by potential impact: Calculate expected ROI for each, such as reduced resolution times in service or increased upsell opportunities in sales. Then, assign credit budgets accordingly, perhaps reserving a portion for experimental Agentforce pilots. This focused approach ensures credits fuel growth rather than getting scattered across less impactful tasks, leading naturally into ongoing monitoring.
Planning is only as good as your ability to track it in action. Regular monitoring keeps Agentforce 360 credit usage transparent and adjustable, turning potential issues into quick fixes.
Set up custom dashboards in Salesforce to visualize credit trends—think graphs showing daily consumption broken down by Agentforce agent type or channel (e.g., voice vs. messaging). Integrate alerts for thresholds, like when 80% of monthly credits are used, to prompt immediate reviews.
This isn't just about credit usage avoidance; it's about optimization. Spot anomalies early, such as an Agentforce agent looping inefficiently on redundant queries, and refine underlying prompts before credits drain. Tools like Agentforce's usage APIs can even feed into broader business intelligence systems for predictive alerts. With solid monitoring in place, you are better equipped to streamline workflows.
Efficiency in Agentforce means doing more with fewer credits, and that starts with scrutinizing your workflows for waste.
Audit your Agentforce setups: Are there overlapping actions where one agent could handle what two currently do? For example, consolidate intent recognition in a single Agentforce Service Agent instead of splitting it across multiple, reducing credit calls. Embrace batching—process bulk data uploads overnight rather than in real-time—to minimize peak-hour consumption.
Leverage Agentforce's advanced features wisely, like using pre-built skills to shortcut custom builds or incorporating conditional logic to skip unnecessary steps. In practice, this could mean an Agentforce Sales Agent only invoking AI for leads that have a high propensity to convert into qualified sales opportunities.. These tweaks not only conserve resources but also instill scalability into your agentic AI strategy.
Agentforce learns and evolves with your business, so your credit planning should, too. Anticipate growth to avoid bottlenecks as you scale.
Project forward: If you are rolling out Agentforce to new teams, like adding it to field service operations, factor in the credit uplift from increased interactions. Explore options like Salesforce's flexible credit packs or add-ons that scale with usage tiers.
Build a multi-year roadmap, integrating Agentforce updates—such as new autonomous capabilities—that might introduce credit efficiencies or new demands. Test scalability in sandboxes to validate assumptions, ensuring your plan accommodates everything from seasonal surges to full enterprise adoption. This forward-thinking approach wraps up a comprehensive strategy, ready for expert guidance.
Argano helps organizations navigate Agentforce complexities with tailored strategies:
Reach out to your Agentforce account team, or a certified Salesforce partner like Argano, early on. They can share best practices, credit calculators, and customized strategies to fit your setup.
Ready to unlock the full potential of Agentforce? Begin with a usage audit and prioritize credits toward your key outcomes. Thoughtful planning ensures Agentforce 360 delivers sustained value.
Argano’s Agentforce Value Realization Program is designed to maximize your Agentforce ROI. Contact us today for a discovery session.
A subject matter expert will reach out to you within 24 hours.