Salesforce AI that actually understands your system

Agentic AI in Salesforce refers to AI systems that can reason about your Salesforce environment, take action, and adapt based on context, not just generate insights or predictions. Traditional Salesforce AI (including Einstein) focuses on analytics, forecasting, and recommendations. Agentic AI goes a step further by understanding how Salesforce is built and helping teams safely operate and change it. Sweep’s agentic AI is grounded in Salesforce metadata: objects, fields, flows, Apex, permissions, and dependencies. That means agents don’t guess or rely on prompts alone — they reason over the real structure of your org. Agents can explain how something works, surface risks, simulate the impact of changes, and assist with execution, all while keeping humans in control. In practice, this turns Salesforce into a system that can explain itself, validate changes before deployment, and reduce the manual investigation that slows teams down. Agentic AI doesn’t replace admins, architects, or RevOps; it augments them with always-on system intelligence that scales as complexity grows.

Salesforce Einstein AI is designed primarily for data intelligence: predictions, recommendations, and insights based on CRM data. It helps answer questions like who is likely to convert, what deal may slip, or which lead to prioritize. Sweep focuses on a different and complementary problem: system metadata. Sweep’s Agentic Layer understands how Salesforce is configured and how changes ripple through the system. It reasons over metadata, automation, permissions, and dependencies to help teams build, troubleshoot, and operate Salesforce safely. Einstein tells you what is happening in your data. Sweep helps you understand why your system behaves the way it does and how to change it without breaking things. Many customers use both together: Einstein for revenue intelligence and forecasting, Sweep for safe execution, faster delivery, and operational confidence.

No changes happen without visibility and control. Sweep’s Agentic Layer is designed to support human-in-the-loop execution. Agents analyze metadata, explain findings, surface risks, and propose changes but teams decide what to deploy and when. In Build Mode, agents can help generate or modify Salesforce configurations such as flows, routing logic, fields, alerts, and automations. Before anything is deployed, Sweep validates dependencies, highlights impacted components, and provides clear reasoning paths so teams understand exactly what will change. This approach allows teams to move much faster without giving up governance. Instead of blind automation, Sweep provides assisted execution: AI does the heavy lifting around analysis, consistency, and validation, while humans retain ownership of decisions and approvals.

Yes. Sweep is built for Salesforce environments with complex automation, multiple teams, and strict governance requirements. Sweep operates on a read-first model, ingesting metadata and usage signals to build a complete, explainable understanding of your org. When changes are made, they are validated against real dependencies and executed through governed workflows. This reduces the risk of breaking production systems especially in orgs with years of inherited complexity. Customers use Sweep in production to reduce incidents, prevent risky changes, and catch issues early through continuous monitoring. Many teams report fewer post-deploy fixes, faster incident resolution, and greater confidence operating at speed.

Sweep is used by Salesforce Admins, Architects, RevOps, Business Systems, and GTM Operations teams, especially in organizations where Salesforce is mission-critical and highly customized. Admins use Sweep to understand legacy orgs, troubleshoot faster, and build safely. RevOps teams use it to move faster on changes, reduce dependency on tickets, and self-serve answers. Architects use Sweep to reason about system design, tech debt, and process optimization. Leaders use Sweep to reduce operational drag and scale delivery without adding headcount. Sweep is particularly valuable for teams managing multi-org environments, complex automations, or high volumes of change.

Sweep builds a unified metadata graph of your Salesforce environment by ingesting objects, fields, flows, Apex, validation rules, permissions, usage signals, and more. On top of that, Sweep applies deterministic dependency parsing to understand how everything connects. This creates a context layer that agents can trust. Instead of guessing from documentation or prompts, Sweep’s agents reason over the real structure and behavior of your system. Because this graph stays continuously updated, agents always operate on the current state of your org even as configurations evolve.

Yes. Sweep supports multi-org analysis across sandboxes, staging, production, and separate Salesforce orgs. Agents can compare differences, surface conflicts, and help teams understand how changes in one environment affect others. This is especially valuable for migrations, consolidations, and large-scale rollouts where risk typically hides in subtle metadata differences. Multi-org support allows teams to move faster while maintaining confidence during complex transitions.

• 2–5× faster Salesforce delivery
• 50%+ faster incident resolution
• 15–25 hours per week reclaimed across Admin and RevOps
• Fewer post-deploy issues caused by missed dependencies
• More deployments shipped without increasing risk