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AI ambition shouldn't come with an unpredictable invoice

On Pega, outcomes are predictable. So is the bill. No token-based pricing.

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Pay for outcomes, never rework.

Other platforms bill every time their AI thinks, rethinks, and thinks again. Ours already knows the answer.

Calculate token spend
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Why pay for AI to figure it out over and over?

LLM providers hooked the enterprise on cheap experimentation with flat subscriptions that made tokens appear free. Now, token costs are stacking up as enterprises battle unpredictable outcomes just as they're trying to scale.

The hidden price of token-based AI

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Costs you can't forecast

When you build with token-based pricing, every request costs something different. As usage grows, variability makes spend harder to predict.

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Scaling difficulties

More workflows mean more processing behind each interaction. Costs rise with complexity, slowing adoption and your ability to scale.

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No clear path to ROI

Value is impossible to prove with cost is tied to usage, not outcomes. More usage rarely means better, more efficient returns.

Untethered agents
Where costs compound

Most AI orchestration relies on LLMs to manage workflows at runtime. Each step requires inference to interpret context and decide what's next—even when logic hasn't changed. As workflows scale, repeated inference drives up token use and cost.

Pega's predictable approach
Efficient and predictable by design

On Pega Platform, deterministic orchestration executes the workflow, calling AI agents on any platform to perform specific tasks, like processing documents, performing research, or synthesizing content. Logic is defined once at design time. Workflows run efficiently, every time.

What makes Pega's AI fundamentally different

It's easy to run AI efficiently with an architecture built for total predictability.

Governed AI execution

Control how AI runs, not just what it does

Coordinate AI and workflows with structure, never improvisation. Pega defines execution upfront to keep cost and outcomes under control.

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Repeatable workflows

Consistency built into every interaction

Run AI inside governed workflows where logic is defined once and reused. Instead of reprocessing every step, Pega cuts unnecessary compute and keeps costs predictable.

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Predictable AI at scale

Start with structure.
Scale with confidence.

Pega helps you design AI systems upfront with cost and scale in mind. That way, production runs stay efficient, predictable, and far more cost-effective.

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Is AI still thinking on your dime?
Let's calculate how much.

Try out AI token calculator to estimate how your costs could grow, and see how Pega changes the equation.

Calculate token spend
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