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Agent Debate Pattern in Pega + LangGraph: Every Decision, Justified
What Is the Agent Debate Pattern?
In agentic AI, the Agent Debate pattern replaces a single model making a single call with multiple specialised agents that each argue a different perspective. A Judge synthesises their views into a final, reasoned verdict. Applied to Pega, every case that enters Pega comes with a full AI debate attached — three agents, one verdict, complete transparency.
Without Agent Debate
 Significant time for resolution |
Case worker manually analyses the application to reach a decision |
| Reasoning stays with the individual |
Decisions are made by a person — rationale is not always documented in the case |
| Single perspective applied |
One case worker evaluates the application based on their own judgement and experience |
| Audit trail begins at Pega |
Documentation covers the workflow steps, not the reasoning behind the decision |
| All cases routed to a case worker |
Every application requires human review regardless of complexity or clarity |
With Agent Debate + Pega
 Three-agent review |
Advocate, Risk Agent, and Judge each contribute a documented perspective |
| Full debate history stored in Pega |
All three agent opinions attached to the case as evidence from day one |
| Audit-ready by default |
Compliance teams can read exactly why the AI recommended what it did |
| Balanced, reasoned decisions |
Arguments are weighed across multiple perspectives before a verdict is reached |
| Only judge-approved cases reach Pega |
If the Judge declines, the A2A call is never made — Pega only receives cases that have passed the debate |
A borderline application triggers the debate. The Advocate highlights stable employment and repayment history. The Risk Agent flags an elevated DTI ratio. The Judge recommends conditional approval at $60k — DTI drops to 39%, full rationale documented. The user confirms. Pega creates the case with all three arguments attached as evidence.
Demo: Click here
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