Your team is scaling. Your goals are rising. But your systems? Still stuck in reactive mode.
Introducing Sweep’s Agentic Layer, AI agents designed to work the way business and technical teams actually operate.
Over the past year, we worked closely with Salesforce Admins, Architects, RevOps leaders, and CROs. What we heard was consistent:
- “I spend hours untangling technical debt instead of driving strategy.”
- “My team is underwater with tickets and ad hoc requests.”
- “We have automations, but no way to see what’s working or what’s broken.”
- “We want to move faster… but we’re buried in manual work.”
Traditional tooling isn’t keeping up. And that it’s time for something smarter.
Why agentic AI matters now
We built the Agentic Layer because the people responsible for scaling revenue, the ones living inside Salesforce every day, told us what they needed:
- Better visibility.
- Faster answers.
- Fewer repetitive tasks.
- More time for high-value work.
And AI, done right, could actually deliver that.
The shift from passive knowledge generation to active execution is reshaping how businesses operate. Early generative AI tools, chatbots, summarizers, predictive models, helped humans work faster. But agentic AI acts. It executes complex, multi-step workflows autonomously across digital environments, learning and improving over time.
Gartner forecasts that by 2028, a third of all enterprise applications will be agentic, driving 15% of decisions autonomously. This is more than a prediction. It’s a countdown.
Agentic AI isn’t another incremental improvement. It’s a paradigm shift. We’re moving from passive insights to autonomous execution – systems that don’t just tell you what to do, but do it for you.
Sweep’s Agentic Layer isn’t a tool. It’s a line in the sand. A transformation engine that fuses autonomous AI agents with deep, structural knowledge of your systems. It bridges the gap between business and system teams.
Meet your new AI growth partners
Sweep’s Agentic Layer is a team of AI-powered agents designed to work alongside you, eliminating bottlenecks, answering questions, protecting your systems, and empowering your users.
Built for Admins & Architects
Answers any question about your org’s configuration, metadata, or automations, instantly. No more tribal knowledge, no more guesswork. Ask questions like, “What automation is updating this field?” or “What’s connected to this validation rule?” It answers, and you move forward with full context.
Built for teams who own system health
Stands guard over your systems. Continuously watches for misconfigurations, risks, or performance issues, and provides early warnings and actionable recommendations, before users feel the impact or data is corrupted. It’s like a QA layer for your Salesforce org, running 24/7.
Built for Ops & GTM
Constantly analyzes your GTM workflows, surfacing inefficiencies in real time. It offers AI-driven recommendations to prevent revenue leaks before they drag down performance and growth.
Built for Admins & End Users
Delivers always-on, AI-powered support across your teams, eliminating friction, accelerating onboarding, protecting your Admin & Ops bandwidth from drowning in tickets, and improving SLAs, delivering a better user experience. Your team stays focused. Your users stay unblocked.
Built for the way you actually work
Sweep’s Agentic Layer works because it was shaped by real conversations with the people in the trenches of growth: Admins managing 300+ fields, Sales Ops leaders buried in lead routing, Architects trying to untangle automations from five teams.
That’s who this is for. And that’s who shaped every feature.
Gartner predicts 33% of enterprise software will include agentic AI by 2028. But adoption won’t be about being trendy. It’ll be about being ready:
- Ready to scale ops without scaling headcount
- Ready to detect problems before they hurt revenue
- Ready to spend more time driving strategy, not fixing what’s broken
That’s what the Agentic Layer makes possible.
Want to see it in action? We’ll show you how Admins, Sales Ops, Architects, and CROs are already using these agents today to automate the tedious, prevent the expensive, and scale what works.