Decision automation with rules and AI
We design, modernize and support the systems that make your everyday business decisions, combining governed rules with AI so policy changes reach production in days and every outcome can be explained.
Does this sound familiar?
- Your business rules are hidden inside applications and processes, and are hard to find or change.
- You would automate more decisions, and use AI in them, if you could trust and explain the result.
- The tools that manage your decision logic are hard to use, so business experts cannot work in them.
- Changes wait months in an IT backlog.
- The same rule exists in several systems, and they no longer agree.
Decision automation gives business and IT one governed home for decision logic. Firm policy lives in readable rules and decision tables. AI handles what rules cannot: predicting risk, reading documents and requests, and explaining outcomes in plain language. Decisions that change often, such as pricing, eligibility, credit, claims and regulatory checks, can then change safely without a full software release.
What we deliver
New decision services
Decision models, rules and decision tables, designed with your business owners and deployed as tested services.
AI in the decision
Predictive models and language models connected to governed rules, with every AI contribution recorded in the decision trace.
AI-assisted rule management
Assistants that answer questions about your rule estate, draft changes and generate test cases for review.
Modernization and migration
Platform upgrades and moves to containers and Red Hat OpenShift, with a tested cut-over plan.
Consolidation
Bring duplicated logic back from gateways and enterprise tools into one governed place.
Regression and compare testing
Run decision versions side by side on the same cases and see every outcome that changed.
Performance and stability
Tuning, monitoring and log analysis for decision services under real production load.
Managed support
Ongoing support, enhancements and knowledge transfer for the decision services you rely on.
Platforms
We work with the platform you already run and pick the right tool for each part of a decision. Our team has deep experience with rules engines including IBM Operational Decision Manager, with DMN decision models, and with the machine learning and language models now being added to business decisions.
What changes for your business
- Faster change. Business owners can read, and with governance edit, the logic that affects them.
- Consistency. The same inputs get the same decision in every channel.
- Safe AI. AI adds prediction and language skills while policy stays in logic you can audit.
- Compliance. Every decision leaves a trace that can be checked against policy and regulation.
- Expertise kept. Knowledge that lived in a few people's heads becomes documented, repeatable decisions.
Going further
Decision intelligence looks across all your decisions to decide which to automate next, and how rules, models and people should share the work.
Questions we hear often
What is decision automation?
Decision automation turns the everyday decisions your business makes, such as who qualifies, what price applies or whether a claim is paid, into services that run automatically and the same way every time. Rules carry firm policy, AI models add predictions and read documents, and every outcome is recorded so it can be explained.
Where does AI fit in?
AI works alongside your rules rather than replacing them. Models score risk or likelihood and pass the result to the rules; language models read documents and requests, explain outcomes in plain language, and help analysts write, test and review rule changes. Policy stays in governed logic you can audit.
Which platforms do you work with?
We work with the decision platform you already run and design for portability where it makes sense. That includes rules engines such as IBM Operational Decision Manager, DMN decision models, and machine learning and language models, deployed on premises, in containers or on Red Hat OpenShift.
Can you take over support of an existing decision application?
Yes. We provide managed support for rule estates and decision services we did not build, starting with a knowledge transfer so that nothing depends on one person remembering how it works.
How do you make sure a change does not break something?
We run the old and new versions of a decision service side by side against the same cases and compare every decision, so regressions are caught before release rather than by customers.
Get a second opinion on your decision automation.
Tell us what you are running and what is getting in the way. We will tell you honestly what we would do first.