Business rules, generated and governed

From policy to production-ready rules in minutes, not weeks.

Your experts write the rule in plain English. RuleGenz writes it in your rules language, checks it against your own data, explains it back and records who approved it.

  • IBM ODM · DMN · Drools · Python · SQL · C# · Java + more
  • Your own AI account
  • Data hosted in the UK
Shipping · PC-001

If the demurrage claimed on a laytime claim is more than USD 50,000, put the claim on hold for manager review.

Generate · check · explain
Checked ruleValid draft
if
  the demurrage amount of 'the claim'
  is more than 50000
then
  put 'the claim' on hold ;
IBM ODMDMNDroolsPythonSQL+10
Approved by a reviewer
Explained in plain English
15rule formats, from IBM ODM to Python and SQL
100sof requirements generated in one run
100%of rules checked against your vocabulary before anyone sees them
0lock-in: every rule is a standard file you keep

For any rule-heavy business

Wherever policies turn into rules

Shipping and logisticsDemurrage and laytime claims, port costs, disbursement checks, sanctions screening
InsuranceClaims referral limits, underwriting appetite, pricing adjustments, fraud indicators
AviationCrew duty and rest limits, rostering rules, pay and allowances
Banking and paymentsPayment holds, approval limits, customer due diligence, fees and charges
Public sector and HREligibility, entitlements, benefits and policy compliance

The challenge

Every rule change passes through several hands

A policy owner writes the change. An analyst interprets it. A developer codes it. A tester finds what was lost in translation, and it goes round again.

Policy ownerwrites the change in a document or email
Analystinterprets it and writes a specification
Developerwrites the rule in the rules language
Testerfinds what was misunderstood

…and back to the start when something was lost in translation

Meaning is lost

Each hand-off rewrites the policy in someone else's words.

Changes take weeks

Simple threshold or rate changes queue behind larger work.

Hard to prove

Business owners cannot easily read the rule that went live.

How it works

Seven steps from a policy change to a live rule

RuleGenz drafts rules; people approve them. Your normal testing and release process does not change.

  1. 1Policy or rate changes
  2. 2Write it in English
  3. 3Generate and check
  4. 4Explain in English
  5. 5Review and approve
  6. 6Export rule files
  7. 7Load, test and release

Your business team RuleGenz Your developers and systems

Write it in English

Type a requirement, paste a list, or import a whole policy: Word, Excel, CSV, PDF or text.

Checked against your data

Only your own business terms and valid syntax. Failed checks are corrected automatically.

Explained and approved

Every rule is read back in plain English, with assumptions and gaps listed, then approved by a named reviewer.

Exported in your format

One file per rule plus a combined file for a single import, each traced to its requirement ID.

The product

See every rule before it goes live

app.rulegenz.com
Generating a rule: a requirement in plain English and the checked rule with its assumptions

One sentence becomes a checked rule

Write the requirement as you would in an email. RuleGenz writes the rule, checks every term against your vocabulary and lists the assumptions it made, such as whether exactly USD 50,000 counts.

  • Valid draft, partly covered or needs fixing: always clear
  • Plain-English explanation for sign-off
  • Assumptions and gaps listed, never hidden
app.rulegenz.com
A requirements project dashboard showing drafted, partly covered, needs fixing and approved rules

A whole policy document at once

Import a policy, contract or requirements list and generate every rule in one run. The dashboard shows what is drafted, approved or needs attention.

  • Vocabulary gaps list exactly which business terms are missing
  • Reviewers approve; every approval is recorded
  • Export approved rules in one download

Rules languages

One rule, written in the language your systems run

Choose the language once and every rule is generated, checked and downloaded in it. Switch at any time to see the same rule in another format, at no extra AI cost.

Rules engines

  • IBM ODM (BAL)IBM Operational Decision Manager
  • DMN / FEELCamunda, Kogito, Trisotech and other DMN 1.3 engines
  • Drools (DRL)Red Hat Decision Manager and Apache KIE
  • GoRules (JDM)The open-source Zen engine and GoRules editor
  • C# (NRules).NET applications using NRules
  • Microsoft RulesEngine.NET applications using Microsoft's RulesEngine
  • Java (Easy Rules)Java applications using Easy Rules with MVEL

Application code and data

  • PythonDjango, FastAPI and other Python back ends
  • TypeScript / JavaScriptNode.js, Angular and React applications
  • SQL Server (T-SQL)Rules run directly against your database tables
  • JSON rulesjson-rules-engine and systems that store rules as JSON
  • JSON LogicEvaluated in JavaScript, Python, Java, .NET, PHP and Go

Tables, expressions and policies

  • Decision table (Excel)Business sign-off and spreadsheet-based rule tools
  • CELGoogle's Common Expression Language
  • Rego (OPA)Policies evaluated by Open Policy Agent
Rules from other enginesPaste a rule from FICO Blaze Advisor, Pega, InRule, Progress Corticon, SAP BRF+, Oracle Intelligent Advisor or anywhere else to check it, explain it in plain English or convert it.
Built for bulkExport a whole project, such as 100 rules, as one file per rule plus a combined file for a single import.

Benefits

Faster changes, fewer errors, full control

Faster change

A threshold or rate change becomes a sentence, a check and an approval, not a ticket in a development queue.

Fewer errors

Every rule is checked against your data before anyone sees it, and assumptions are raised up front instead of in testing.

Proof for audit

Each live rule traces to its requirement, its plain-English explanation and the person who approved it.

Business stays in control

Policy owners read and approve rules in English; they no longer need to read rule code.

Scales with you

Ten rules or a thousand: new customers, tariffs and regulations without growing the team at the same rate.

No lock-in

Standard rule files you own, which keep working without RuleGenz. Export all your data at any time.

Return on investment

Work out your own saving

Rule changes a year × hours saved per change × blended hourly cost

In an illustrative case, a team makes 100 rule changes a year, each taking 12 hours of analyst, developer and tester time. If RuleGenz brings that to 4 hours, the team saves 800 hours a year: about £48,000 at £60 an hour, before counting faster changes and fewer production errors.

Illustrative figures only, not a promise. A pilot measures your real figures against your current process.

Security and control

Designed for enterprise security reviews

Security Overview, Data Protection Pack and completed security questionnaire available for your IT and procurement teams.

Your own AI account

Azure OpenAI, OpenAI or Anthropic, under your agreements. The key is encrypted and never shown again.

Data stored in the UK

Workspace data and the rule engine are hosted in London, encrypted in transit and at rest.

Two-step login and SSO

Invitation-only accounts, two-step login for everyone who can change rules, single sign-on and allowed email domains.

Separated workspaces

Each organisation's data is isolated by the database itself, not only by the application.

Complete audit log

Sign-ins, imports, approvals and downloads, with who and when. Entries cannot be edited or deleted.

You own your rules

Standard files that keep working without RuleGenz. Download all your data at any time.

Founding customer pilot

Start small, with success agreed up front

  1. Week 0Kick-off

    Agree users, requirements and success measures.

  2. Weeks 1–2Set-up

    Workspace, AI connection and your vocabulary.

  3. Weeks 3–8Generate and review

    Rules for one real policy, approved by your experts.

  4. Weeks 9–12Test and decide

    Test a sample in your environment and review the results.

As a founding customer

  • Founder-led onboarding
  • Direct line to the founder, with a reply within one working day
  • Pricing fixed for 24 months
  • A say in the roadmap
  • Pilot fee credited to your first year
  • Keep every rule produced, whatever you decide

Book a demo

See it on your own rules

A 30-minute demonstration, then a 60 to 90-day pilot on one of your real policies, measured against your current process.

  • We reply within one working day
  • No obligation, and no sales pressure
  • Bring a real policy, and we'll show it working