The AI dial is yours to set
Agentic AI is rewriting what's possible. The enterprises that scale don't bet it all on agents – they dial AI into the right process, at the right level of autonomy.
Your Rules. Your Risk. Your Results.
From dialing autonomy to predicting costs, Pega gives enterprises the control layer AI has been missing - governed, structured, and ready to run the business, not just a pilot.
Risk you can dial
Enterprises are stuck between pilots that prove nothing and rollouts they can't risk. Pega breaks the deadlock. Set the level of autonomy per process – predictive, deterministic, generative, or agentic – and dial it up as the operating data earns it. Investment follows certainty. This is how you get both.
Governance built in
Not bolted on. Every scaling review asks the same three questions: Who has access? What are the agents doing? Can you explain it to a regulator? Agents drift – behavior today is not behavior next month. If you can't reconstruct what an agent did and why, in language a regulator accepts, you don't have governance. You have hope.
The structure agents run on
Not every process should be agentic. In regulated industries, most operational work is deterministic – regulation, audit, and decades of operating discipline made it so. Agents need workflow to govern their execution. Reasoning earns its keep at specific junctures. Structure carries the rest.
Costs you can predict
The token bill is now due. Gartner predicts agent software spend will roughly double in a single year. More than 40% of agentic projects will be cancelled by 2027. The winners won’t just run more agents – they’ll run agentic work where it pays, and deterministic process everywhere else.
Six capabilities. One platform.
Case management
The orchestration layer and your operating harness. It holds context at every step, agentic or deterministic – the data, the decisions, the human touch points.
Workflow
The deterministic spine. Sequencing, state, gating, and escalation – keeping every agent and every human step moving toward a defined outcome.
Adaptive and predictive models
The analytical layer. Predictive models track process performance and SLA risk. Adaptive models score outcomes, learn over time, and drive decisions from data.
Agents
Our agents or yours. Our models or yours. Connected via A2A or MCP. Pega gives you the operational landscape to plug any agent and any LLM into your workflow.
Agent tracer
Every step, action, and decision tracked and traced. Oversight for the agents and processes that will run your business.
Agentic Process Fabric
Cross-system orchestration. The authority layer in a federated agent estate.
Agentic innovation collaboration program
Collaboration from discovery to delivery. The Pega Co-Build Program is a structured, co-funded engagement that takes your AI ambition from concept to live production in twelve weeks. You bring the use-case, and we’ll bring the platform, methodology, and expertise to make it real, auditable, and built to scale.
The Moving Boundary
Discover how Pega's operating harness helps you take control of agentic AI unit economics, turning the moving boundary from a hidden risk into your most strategic competitive advantage.
Your co-build starts here
This is where AI intent becomes enterprise execution. A co-build is a four-phase engagement, roughly three months end to end: one week of discovery, a two-day workshop in person, a 3–4 week build, then delivery into your environment. The output is a production-grade application. Not a deck. Not a POC. Built to ship.