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Introduction

What is decision automation?

Decision automation uses machine learning and business rules to help you improve the customer experience and make intelligent operational decisions.

Why automate decisions?

A business rules management system (BRMS) enables businesses to create and manage business logic independently from applications and processes. In addition, by infusing machine learning, businesses can make decisions with precision, targeting each customer interaction and touchpoint intelligently.

Because decision models are easily integrated with other IT systems, your applications can scale and execute automated decisions across multiple channels. When changes to decision models are required, business users can quickly update them, providing the agility and speed needed to meet changing business demands.

Forrester™ Wave Leader 2020

IBM is named a leader in The Forrester Wave™: Digital Decisioning Platforms, Q4 2020

See it in action

Benefits

Empower business users

Allow business users to intuitively model, author and validate decisions, all in a low-code environment.

Infuse decisions with AI

Combine predictive models with prescriptive rules to help improve business outcomes.

Gain business agility

Adapt quickly to changing conditions to help keep your business on track.

Get more capabilities

Decision automation is just one capability of the IBM Cloud Pak

Make bold moves in automation and solve your toughest operational challenges

Integrated

IBM Cloud Pak® for Business Automation includes AI-powered capabilities, a common UI, low-code tools.

Complete

Get task automation, workflow orchestration, decision management, content services and more.

Modern

It’s a modular and easy-to-consume pricing approach, so you only pay for what you need.

Automation on the high seas

The AI-powered Mayflower Autonomous Ship replicates an historic journey, with navigation help from IBM decision automation technologies.

Platform

Tap into the platform’s full set of capabilities for automating all types of work at scale.

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