“By 2026, 30% of enterprises will automate more than half of their network activities, an increase from under 10% in mid-2023.” — Gartner, 2024
Three months ago, customers came to us with what felt like bold goals: cleaner data, smoother handoffs, automations that just work. Back then, those were considered strong use cases.
Today? That’s the bare minimum.
AI has moved faster than most teams can track. What was once forward-thinking is now table stakes. And the buyers who are winning right now aren’t just looking for efficiency. They’re demanding systems that are not only efficient, but intelligent, adaptive, and built to scale.
Because the cost of doing nothing has never been higher.
While you're still mapping out Jira tickets or chasing down fixes, your competitors are deploying agentic systems that act on their behalf: diagnosing problems, resolving issues, and improving operations without being told.
Most teams won’t fall behind because they made the wrong decision. They’ll fall behind because they are busy optimizing: bandaging broken processes, rather than getting ahead by adapting to managing a tech stack in the era of AI.
Welcome to the Agentic AI era
This isn’t about “AI tools” or another dashboard that surfaces insights. This is about software that actually does the work for you.
We’re talking about agents that:
- Monitor your org and alert you when something’s off
- Document changes across flows and fields in real time
- Diagnose process bottlenecks and suggest fixes
According to McKinsey’s 2024 research, companies that embed AI agents into operations are seeing up to 40% productivity gains, while their competitors are still stuck writing Jira tickets.
And that’s the risk. The pace of change in the agentic AI era doesn’t wait for anyone. While you’re busy stitching together manual processes and chasing down stakeholders, your competitors are using agentic tools that supplement and amplify their work – fixing data, triggering workflows, and accelerating decisions.
From manual work to self-improving systems
Here’s what falling behind looks like:
- Spending days untangling why lead routing broke (again)
- Onboarding new admins with zero documentation
- Playing ops firefighter instead of driving strategy
Here’s what it looks like to stay ahead:
The Admin who sleeps better at night:
Before: Every change was a gamble: “What if this Flow breaks something else?”
Now: Sweep’s Monitoring Agent catches conflicts and flags risky dependencies in real time. The Documentation Agent keeps a living blueprint of every field, Flow, and automation. No more digging through inactive flows or second-guessing logic. Admins move faster and safer.
The RevOps leader who moves at the speed of strategy
Before: A new lead scoring model took 6 weeks, 4 teams, and endless back-and-forth.
Now: Using Sweep’s Process Agent, he rebuilt the logic visually, ran simulations, and deployed it in a day. The system didn’t just automate tasks: it helped orchestrate the entire process, from alignment to execution. That’s what agentic really means: not just smarter, but more self-sufficient.
The GTM team that doesn’t miss a beat
Before: Marketing launched new campaigns, and leads piled up with no follow-through. SDRs were missing follow-ups, managers were in the dark, and no one could explain why.
Now: The Process Agent flagged the exact handoff failure, diagnosed the issue (a missing assignment condition), proposed a fix, and logged the update for full team visibility.
The consultants and SIs who don’t need to reverse-engineer everything
Before: Every project started with weeks of context-gathering, mapping undocumented Flows and APEX, and rebuilding tribal knowledge from scratch.
Now: Sweep’s Monitoring and Documentation Agents generate a living blueprint of the org, including recent changes, dependencies, and risks. Consultants can skip the dig and start solving real problems on day one.
This isn’t just about automation. It’s about autonomy.
Why Agentic AI is inevitable
"Half of respondents say their organizations have adopted AI in two or more business functions, up from less than a third of respondents in 2023."
— McKinsey, 2024
The truth is, most companies say they want to be data-driven. They want to automate. They want to “leverage AI.”
But very few are moving fast enough to do it in a way that actually scales. And the gap between early adopters and laggards is growing fast.
The fear of falling behind is real, and valid. But it doesn’t have to be permanent. The teams adopting agentic systems today are already rewriting their workflows, rethinking how they hire, and reallocating time to the projects that actually matter.
Agentic AI isn’t a “nice-to-have.”
It’s the new baseline for operational excellence.
Are you ready to operate at that level?
Or are you still hoping old processes will eventually catch up?
