The decision map
Maps the decision points, journey and action states.
AI is getting better at generating, predicting and automating tasks. What it can't do is automate high-impact decisions in consequential business processes. Until now.
Decision Deck solutions are built on Hybrid Intelligence, a neuro-symbolic AI framework. It turns evidence, policy, learned adaptive models and human judgement into governed decisions that can run safely inside risk-bearing operations.
Agents can move work tasks across tools. Decision Deck governs the decisions inside that work.
When the action matters, Decision Deck applies policy, weighs evidence, records the rationale and returns a decision state you can trust.
A score can indicate risk, propensity or likelihood. It cannot tell you whether the action is allowed, justified, proportionate, profitable or defensible. Decision Deck turns predictive output into governed action.
It determines what a case needs, review, evidence, escalation, suppression, intervention or no action, then sends the workflow forward with the reasoning and justification attached.
Policy, evidence, review and version history are in the live decision path, so compliance is enforced in the decision, not reconstructed after the event.
It captures the evidence used, policy applied, reasoning path, alternatives rejected and action taken, creating decision-level truth for monitoring, audit and improvement.
Decision Deck is the governed decision layer for AI automation in real operations. It is where AI moves from recommendation to accountable action.
Decision Deck supports you to automate high-impact decisions by combining predictive models, business policy, behavioural context, human review and decision evidence inside live decision workflows. Use it as a platform to build your in-house solutions, or buy ready-made decision solutions from one of our trusted delivery partners.
Whether you build or buy, solutions are shaped using components configured to your use case. The final solution generally involves some, if not all, of the following steps and artefacts.
Maps the decision points, journey and action states.
Documents the data and signals available.
Configures policy rules, thresholds, review triggers and prohibited actions.
Maps the predictive model types and Decision Blocks used.
Determines which cases go to humans for review, why, and what reviewers see.
Documents the evidence record required for each decision.
Maps what needs to be monitored and how changes are alerted and tracked.
Configures API inputs, decision outputs and workflow or case-system handoff.
The commercial KPIs: conversion, loss, margin, backlog, false positives, review volume, complaint rate, churn, retention and more.