EvaluatorDPT

EvaluatorDPT™ is a decision engine for accountable AI: deterministic YES/NO/TBD outcomes with explainability by design, plus optional decision steering to align outcomes to business goals.

Deterministic decision engine for real-world actions

Converts model outputs and business context into clear decision labels (YES / NO / TBD) with scoring metadata, so teams can act consistently.

Generates human-readable, executive-ready reports showing:

• Decision + confidence score

• YES / NO / TBD score breakdown

• Decision influencers, weights, and vector scores

• Next-step recommendations to reach the desired outcome

Uses structured decision influencers (signals/vectors) to represent policy, risk, intent, readiness, and compliance drivers. Enables repeatable scoring across use cases, departments, and industries.

Supports decision steering: adjust influencer weights and constraints to move outcomes toward defined goals—without rewriting the whole system.

Produces TBD when evidence is insufficient, enabling safe escalation to humans with the exact gaps highlighted.

Accepts structured policies and constraints/requirements to keep decisions aligned with governance, compliance, and operational rules.

Designed to sit between LLMs/agents and actions, making it easy to plug into existing workflows, tools, and automation.

Supports tenant isolation, subscription entitlements, and usage-based scaling. “Signals” refers to the engine’s signal/vector-based decisioning method (not a separate product).

Captures decision inputs/outputs and evidence signals so teams can track:

• What changed

• Why the decision changed

• How close the system is to the target outcome over time

Start with a small curated dataset and get actionable results quickly—ideal for POCs, pilot deployments, and rapid customization per customer.