Agentic AI in Decision Management

A plain-language description of your business requirement is translated by AI agents into governed decision logic – directly within the platform, not hidden in code. The speed and reach of AI, fully under your control.

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Put AI to work on the decision logic that runs your business – faster, more consistent, easier to govern

Build decision
logic faster

AI agents turn business intent into tested decision logic taking the manual modelling off your team and raising the quality of the result.

Audit-ready
by design

The agent builds the decision logic directly in the platform as a graphical model. Every change and approval is recorded when it’s committed, so the model and its history are ready the moment an auditor asks.

The human has
the final call

AI proposes changes, your experts approve them. A human signs off before anything governs a real-world decision.

Works with
your AI stack

Bring your own LLM and AI agent – no new vendor, no compromise on data sovereignty.

AI capabilities for decision management

In regulated industries, the real AI risk isn’t the model. It’s decision logic that nobody can explain, trace, or defend in an audit. The platform’s AI capabilities are built around that reality. Every rule an agent drafts and every guided step remains visible, testable, and subject to human approval before it reaches production. Purpose-built for credit risk, compliance and risk-management teams that cannot afford unexplainable AI.

Describe your business intent in plain language. The agent builds the decision logic directly in the platform – as a graphical, testable model, that your team can review, validate, and govern – not as hidden code.

  • Translates natural-language instructions into executable decision tables and rule flows
  • Creates and updates data models, including input, output, internal and constant data elements and data types
  • A graphical model your team can understand, inspect and test

As models grow complex, weaknesses creep in. The agent reviews your rule models, pinpoints issues, proposes and implements improvements.

  • Identifies logic gaps, redundant rules and unreachable paths
  • Discovers divergence between business intent and modelled logic
  • Proposes improvements and applies them once approved

The agent builds out the test coverage teams tend to skip, and shows your rules produce the outcomes you intend.

  • Generates test cases, including the boundary values and exceptions that are easy to miss
  • Runs the tests and tracks coverage across the model
  • Highlights the rules and paths that no test reaches yet

The agent keeps the model understandable as it grows, turning rules into clear descriptions and answering questions about how the logic works.

  • Writes consistent, readable descriptions straight from your rule model
  • Explains, summarizes or lets you query the model, so even large ones stay maintainable
  • Helps new team members understand existing logic quickly
ACTICO Companion Screenvideo

ACTICO Companion is a generative-AI assistant that helps your team work with the platform – instant, reliable answers about features and technical requirements.

  • Instant answers, 24/7
  • Real-time guidance for platform configuration and rule modeling
  • Always up to date with each platform release
  • Secure and built for responsible, compliant use

Explore ACTICO Companion

How Agentic AI works in decision management

Agentic AI in decision management means AI agents act directly on your decision logic – the business rules and models behind credit, compliance and enterprise decisions. Every action follows a governed four-step path.

Human approval is not an optional safeguard. It is built into the workflow.

Every AI-generated proposal – whether a new model, a rule update, or a documentation change – requires explicit expert review and sign-off before it is promoted from the test environment to production. No exceptions. This is what makes agentic AI viable in regulated industries.

The impact, in numbers

Metrics from customer pilots and internal benchmarks. Individual results vary depending on the starting point.

0%

Up to 65% faster
from business intent to executable decision logic

0%

Up to 90% automated implementation
of structured business logic into executable rule models

0%

Up to 75% less manual modeling effort for the creation and updates of rules, decision tables, and data models

0%

Up to 90% less effort for test creation, test coverage, and documentation

Why ACTICO’s agentic AI is built for regulated industries

Generic AI tools can write rules. They cannot govern the decisions those rules make. ACTICO’s approach is different where it matters most for regulated institutions.

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Governance
by design

Every AI-generated change is explainable, testable and human-approved before it governs a real-world decision.

ACTICO Icon electric blue bubble security
Built on a proven decision platform

Agents work on ACTICO’s governed decision models – trusted by regulated banks and insurers – not as an AI bolt-on.

The governed decision layer

AI operates inside your governance framework, not around it. The decision logic remains transparent, versioned and auditable.

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Recognised
by analysts

ACTICO is named a Leader in the Gartner Magic Quadrant for Decision Intelligence Platforms, 2026.

Works with the tools you already use

Built on MCP (Model Context Protocol), an open standard that makes the connection LLM/AI agent-agnostic. The AI tools your institution already uses work directly on your governed decision model. Compatible with:

  • Anthropic Claude
  • GitHub Copilot
  • Any MCP-compatible LLM or agent framework
  • Bring-your-own local model setup

Key questions

What is agentic AI in decision management?

It is AI agents that build, adapt and review the decision logic behind business-critical decisions, on a governed platform, with every change approved by a human before it goes live.

How does ACTICO keep AI-generated decision logic explainable and auditable?

Every change is explainable, testable and approved by a human before production. Every change is version-controlled and fully auditable, and the agent can generate descriptions, explanations and summaries directly from the graphical model.

Which AI models does it work with?

Any MCP-compatible model, including Anthropic Claude and GitHub Copilot. You keep your existing AI tools and your data sovereignty.

Which decisions can it help with?

Credit, compliance and enterprise decisions – wherever consistent, explainable and auditable decision logic is required at scale. 

How do I get started?

Request a demo to see how agentic AI works in your decision management context – and how it can help you build, adapt, and govern decision logic with confidence.

What is the difference between AI agents and ACTICO Companion?

The AI agents build and adapt the decision logic itself. ACTICO Companion is a generative-AI assistant using RAG to access current platform documentation that helps your team use the platform faster. They are complementary.

Recognised throughout the industry.

For many years, ACTICO has been recognised by customers and analysts as a leading provider of Advanced Decision Automation Technology and solutions for Compliance and Credit Risk Management.

ACTICO Award logo Forrester
ACTICO Award logo Gartner
ACTICO Award RegTech100
ACTICO Award FinCrime50
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ACTICO Logo RegTech Inside Awards Europe 2025 white

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