What is Confidence-Based Routing?
Governance & ControlA routing mechanism that decides what an agent may do with each request based on a computed confidence score: execute on its own above a high threshold, prepare a proposal for human review in the middle band, or escalate to a person below it. Authority becomes a function of evidence, computed per request rather than set once for the whole system.
Why It Matters
The autonomous-versus-assisted question is usually asked once, at design time, for the whole system. That framing forces a bad trade: automate everything and absorb the failures, or keep a person on everything and lose the economics. Confidence-based routing asks the question per request instead.
The same banking agent can answer “how do I enable biometric login” on its own and hand “my account is wrong” to a person. Same channel, same user. The difference is how sure the system can be, this time, that its action is right.
How the Score Is Built
A useful score is computed by the system, not self-reported by the model. The model does not get to grade its own certainty. The router weighs observable factors, typically some mix of intent clarity, entity completeness, knowledge coverage, system availability, and the historical success rate for this type of request.
In one production banking deployment, the weights came out as intent clarity 35%, entity completeness 25%, knowledge coverage 20%, system availability 15%, and historical success 5%. The split matters less than the principle: the score reflects evidence the system can check, not a feeling the model reports.
The Three Routes
Execute. Above the high threshold, the runtime lets the agent act. Clear intent, documented answer, healthy dependencies, strong track record.
Propose. In the middle band, the agent prepares a decision package: the proposed action, the reasoning, the supporting evidence, and the policy context. A reviewer approves, modifies, or rejects it, and the decision feeds the feedback loop.
Escalate. Below the low threshold, the case transfers to a person with full context attached. Ambiguous intent, undocumented answers, and complex customer situations belong here by design, not by failure.
Where It Breaks
Three failure modes account for most routing problems. The score comes from the model’s own self-assessment, which drifts with model updates. Thresholds are set at launch and never revisited as the knowledge base and failure mix change. And the middle band is sized wrong: too wide creates approval fatigue, too narrow quietly reintroduces the risk it was meant to contain.
How Flytebit Handles It
Confidence-based routing is the mechanism behind the anonymized banking deployment described on our financial services page, where roughly one request in five takes the human route by design. We treat the thresholds and factor weights as governed policy under runtime governance, evaluated against real failure cases before every release and revisited as outcomes accumulate.