AI agents are rapidly transforming how work gets done, and, as highlighted in Deloitte’s Prompting for action: How AI agents are reshaping the future of work (2024)—forward thinking organizations are already deploying agentic systems across a wide range of high value use cases. The leaders in this space aren’t just experimenting; they’re moving with intent, identifying the right opportunities, and scaling AI agents to deliver tangible impact.
But that impact doesn’t happen by accident. Organizations need a deliberate roadmap that focuses on the use cases where agentic AI can deliver the greatest value and directly support broader business objectives. At Cegeka, we see this every day: companies that define clear, high value use cases achieve faster adoption, higher employee enthusiasm, and dramatically better outcomes.
In this blog, you’ll learn exactly how to do that.
We’ll walk through what makes a use case “high impact,” how to score and prioritize them, how to align agent design with KPIs and human oversight, how to validate data readiness, and which categories consistently deliver the strongest ROI. By the end, you’ll know how to select use cases that not only work, but scale, so you can unlock real, measurable business value with AI agents.
A high impact use case always begins with a specific pain point, inefficiency, or opportunity. This step should answer a simple question: “Where can an AI agent measurably improve how people work?
Typical triggers include:
Not every idea becomes a viable AI agent. Organizations need a repeatable scoring model that evaluates:
Evaluating whether a use case is truly suited for an AI agent requires a structured assessment across four dimensions: business value, feasibility, risk, and strategic alignment. Organizations start by estimating the potential impact, how much time can be saved, where accuracy can improve, and which tasks can be meaningfully automated. Next, they examine feasibility: Is the data accessible and reliable? How complex is the system landscape? Is integration realistic?
Risk is assessed by looking at compliance sensitivity, automation risks, and the need for human supervision. Finally, the use case is evaluated against organizational priorities to ensure it contributes directly to strategic goals rather than becoming an isolated experiment. This structured evaluation helps teams separate high value opportunities from low impact ideas and ensures AI agents are deployed where they can make a measurable difference.
For teams that want to kickstart their use case prioritization, Cegeka offers AI Discovery Workshops. A guided, end-to-end process where our experts help you identify high impact opportunities, assess feasibility, engage stakeholders, and define a clear adoption roadmap.
High impact use cases all share one characteristic: they deliver measurable outcomes. Cegeka’s 2026 industry report shows that organizations linking their AI agent initiatives to clear KPIs, such as productivity, quality, compliance, and speed, experience substantially higher perceived value, with a 26% improvement compared to only 3% in organizations lacking proper support structures.
A strong example of a high impact AI agent use case comes from the Flemish Government’s supervisory and audit service (VTS). Managing over €18 billion in grants, VTS struggled with thousands of invoices and tight audit cycles. By introducing AI agents to automate invoice checks and accelerate audit workflows, processing times dropped dramatically, from 15 minutes per invoice to just 6 seconds. This shift not only enabled 100% invoice control instead of sampling, but it is also expected to allow VTS to detect incorrect claims earlier and potentially reallocate €5–10 million per year. It’s a clear demonstration of how the right AI agent use case can deliver impact at a scale manual processes simply can’t match.
The best performing use cases sit at the intersection of automation, clear decision boundaries, and human judgment. At Cegeka, we design AI agents that take over repetitive, rule based steps while keeping people firmly in control of the decisions that matter. Our implementations, including the Flemish Government case, demonstrate how agents can handle multistep workflows, surface insights, and prepare actions, while employees validate results, apply expertise, and intervene whenever needed. This balanced approach accelerates work, strengthens trust, and ensures long term, responsible adoption of agentic AI.
AI agents are not just another productivity tool. They represent a shift toward autonomous workflows, continuous optimization, and intelligent systems of action.
But success hinges on one foundational step: Define the right use cases first; the ones that matter for your people, your processes, and your strategy. Organizations that take the time to identify, score, and prioritize high impact use cases build sustainable momentum, avoid agent sprawl, and unlock measurable business value.
Cegeka’s structured approach, from AI Inspiration Sessions to Discovery Workshops to fully governed agent deployments, gives organizations the clarity, governance, and confidence needed to scale AI responsibly and effectively.