Enterprise leaders are facing mounting pressure to do more with less.
You’re expected to drive efficiency, speed, and innovation — even as budgets shrink and complexity grows. Traditional automation tools weren’t built for this environment. They’re rigid, rule-based, and tend to break down when tasks require judgment, flexibility, or coordination across fragmented systems.
Agentic AI offers a smarter way forward.
Agentic AI refers to systems that can independently complete tasks and achieve objectives with minimal human input. Unlike traditional AI, which relies on predefined rules and constant oversight, agentic systems can learn, adapt, and make decisions — giving them true agency in how they operate.
The result? AI agents can take initiative and act autonomously — not to replace human expertise, but to complement it, especially in environments where traditional automation tools fall short.
Still unsure what counts as agentic AI? Read our breakdown of the five most common misconceptions.
And while adoption is still early — according to Deloitte, 74% of enterprises are still in the pilot phase with generative AI and agentic automation — the use cases are already taking shape.
Here are four high-impact areas where agentic AI has the potential to unlock real value:
1. Procure-to-pay: expedite approval processes
Delays in procure-to-pay (P2P) are often caused by missing documentation or bottlenecks in the approval chain. When a purchase request stalls, someone has to chase down the right data or follow up manually — usually across email, spreadsheets, and an ERP system.
Agentic AI can step in to handle those follow-ups. It can detect what’s missing, notify stakeholders, and trigger next steps automatically — helping approvals move forward without manual intervention.
2. Order-to-cash: spot discrepancies before they slow down cash flow
Exceptions in the order-to-cash cycle — like mismatches between POs and invoices — are time-consuming to resolve. They require someone to dig through contracts, check ERP records, and coordinate with internal teams or customers.
Agents can reduce the burden by gathering the necessary documentation, identifying the issue, and either resolving it directly or teeing up the full context for a human to review.
3. Contact centers: give human agents the context to act quickly
Customer service teams often spend more time searching for answers than actively solving problems. They toggle between CRM, billing, knowledge bases, and ticket history — just to get the full picture.
An AI agent can pull together everything an agent needs before they even pick up the phone. It can summarize prior interactions, suggest next steps, and streamline post-call follow-ups — enabling faster, more confident resolutions.
4. HR operations: streamline onboarding with less manual effort
Onboarding a new hire often requires repetitive, manual coordination across systems — from filling out forms and verifying documents to granting system access. When any of these steps fall through the cracks, it can slow down productivity and create a poor first impression.
Agentic AI can handle much of the busywork behind the scenes. It can auto-fill forms using existing data, verify submitted documents, and trigger IT or access requests — creating a faster, more consistent experience for new employees and HR teams alike.
From process blind spots to AI breakthroughs
Agentic AI isn’t a silver bullet — and for most enterprises, it’s still early days. But the path forward is clear: start by understanding how work actually gets done, and build from there.
That’s where technologies such as task mining come in.
By capturing user-level activity across tools, teams, and tasks, task mining reveals the real work involved in your processes — including common variants, exceptions, and inefficiencies that don’t show up in traditional process documentation. This level of visibility is critical for both identifying automation opportunities and training AI agents to navigate real-world workflows with accuracy and confidence.
Want to pave the path for agentic AI in your organization? Get started with Mimica to learn which of your processes are ready for automation.
