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AI-Powered Business Rules Engine
Make policy changes in weeks, not quarters.
Request a Demo
We built adeterministic business rules engine that is powered by AI to help make changes.
Our rules engine reads
your policy documents
tests it against real scenarios
maps the changes
builds the logic
requests approvals
and
ships the changes
All permission gated
The problem
Legacy rules engines are the bottleneck.
Legacy BREs promised business users control over decision logic. In practice, every change still runs through a narrow gate.
Slow to change
Coding, testing, and deployment cycles mean regulatory updates land months after they take effect.
Opaque at scale
Rules accumulate. Dependencies and conflicts multiply. Nobody can say with confidence what the system will do.
Hard to trust
Debugging is clumsy, test coverage is a guess, and observability is thin.
Weak governance
Which rules are live in which environment? What changed, when, and who changed it? Often unanswerable.
How it works
Four steps from policy document to production.
1. Connect your data
Point the agent at your database. It reads the schema and summarizes what is there, so you never have to look up field names again.
2. Ingest the policy
Upload policy documents. It extracts the key rules, thresholds, and formulas and summarizes them for your review.
3. Describe what you need
"Change the FPL threshold from 133% to 138% in accordance with the recent rules" The agent selects the governing policy document, confirms it with you, identifies the right data fields, and builds the calculation logic.
4. Verify, then ship
You can manually create the test scenarios, or our capability can create them for you based off of samples from your real data. You get an evaluation report, a plain-language summary, and readable pseudo-code you can correct line by line. Approve it and the agent publishes the API.
5. Permission gated and fully auditable
Admins will have full control who can use this capability, and every action is fully auditable.
Your next policy update is already public. Ship it this week.
See your own policy documents turned into a tested, explainable rules engine in a 30-minute walkthrough.
Request a Demo
© 2026 Twenty Labs, LLC.
AI Offerings
AI Doc Extraction
AI Business Rules Engine
AI Voice Agent
AI Caseworker Assistant
Solutions by Program
Medicaid CE
Medicaid E&E
Medicaid FWA
WIC
SNAP
SUN Bucks
FMNP
Crisis Management
Communications
Company
Press & Blog
Careers
Privacy Policy
Terms & Conditions
Resources
FMNP Help Center
Help Center
Give Feedback
Android App
iOS App
Need Help?
AI-Powered Business Rules Engine
Make policy changes in weeks, not quarters.
Request a Demo
We built a
deterministic business rules engine
that is powered by AI
to help make changes
fast and safely.
Our rules engine reads
your policy documents
tests it against real scenarios
maps the changes
builds the logic
requests approvals
and
ships the changes
All permission gated
The problem
Legacy rules engines are the bottleneck.
Legacy BREs promised business users control over decision logic. In practice, every change still runs through a narrow gate.
Slow to change
Coding, testing, and deployment cycles mean regulatory updates land months after they take effect.
Opaque at scale
Rules accumulate. Dependencies and conflicts multiply. Nobody can say with confidence what the system will do.
Hard to trust
Debugging is clumsy, test coverage is a guess, and observability is thin.
Weak governance
Which rules are live in which environment? What changed, when, and who changed it? Often unanswerable.
How it works
Four steps from policy document to production.
1. Connect your data
Point the agent at your database. It reads the schema and summarizes what is there, so you never have to look up field names again.
2. Ingest the policy
Upload policy documents. It extracts the key rules, thresholds, and formulas and summarizes them for your review.
3. Describe what you need
"Change the FPL threshold from 133% to 138% in accordance with the recent rules" The agent selects the governing policy document, confirms it with you, identifies the right data fields, and builds the calculation logic.
4. Verify, then ship
You can manually create the test scenarios, or our capability can create them for you based off of samples from your real data. You get an evaluation report, a plain-language summary, and readable pseudo-code you can correct line by line. Approve it and the agent publishes the API.
5. Permission gated and fully auditable
Admins will have full control who can use this capability, and every action is fully auditable.
Your next policy update is already public. Ship it this week.
See your own policy documents turned into a tested, explainable rules engine in a 30-minute walkthrough.
Request a Demo
Support
Help Center
© 2026 Twenty Labs, LLC.
AI Offerings
Solutions by Program
Company
Resources
Need Help?
AI Doc Extraction
AI Voice Agent
AI Business Rules Engine
AI Caseworker Assistant
Health Programs
Medicaid CE
Medicaid E&E
Medicaid FWA
Food Programs
WIC
SNAP
SUN Bucks
FMNP
Crisis Management
Crisis Management
Communications
About Us
Press & Blog
Careers
Legal
Privacy Policy
Terms & Conditions
Support
FMNP Help Center
Help Center
Give Feedback
Downloads
Android App
iOS App
AI-Powered Business Rules Engine
Make policy changes in weeks, not quarters.
Request a Demo
We built a
deterministic business rules engine
that is powered by AI
to help make changes
fast and safely.
Our rules engine reads
your policy documents
tests it against real scenarios
maps the changes
builds the logic
requests approvals
and
ships the changes
All permission gated
The problem
Legacy rules engines are the bottleneck.
Legacy BREs promised business users control over decision logic. In practice, every change still runs through a narrow gate.
Slow to change
Coding, testing, and deployment cycles mean regulatory updates land months after they take effect.
Opaque at scale
Rules accumulate. Dependencies and conflicts multiply. Nobody can say with confidence what the system will do.
Hard to trust
Debugging is clumsy, test coverage is a guess, and observability is thin.
Weak governance
Which rules are live in which environment? What changed, when, and who changed it? Often unanswerable.
How it works
Four steps from policy document to production.
1. Connect your data
Point the agent at your database. It reads the schema and summarizes what is there, so you never have to look up field names again.
2. Ingest the policy
Upload policy documents. It extracts the key rules, thresholds, and formulas and summarizes them for your review.
3. Describe what you need
"Change the FPL threshold from 133% to 138% in accordance with the recent rules" The agent selects the governing policy document, confirms it with you, identifies the right data fields, and builds the calculation logic.
4. Verify, then ship
You can manually create the test scenarios, or our capability can create them for you based off of samples from your real data. You get an evaluation report, a plain-language summary, and readable pseudo-code you can correct line by line. Approve it and the agent publishes the API.
5. Permission gated and fully auditable
Admins will have full control who can use this capability, and every action is fully auditable.
Your next policy update is already public. Ship it this week.
See your own policy documents turned into a tested, explainable rules engine in a 30-minute walkthrough.
Request a Demo
Support
Help Center
© 2026 Twenty Labs, LLC.