The governed layer between your workflow systems and the rules that drive them.
Every decision traceable to statute. Every outcome auditable. Every determination exhibit-ready if it is ever challenged.
Eligibility rules live in spreadsheets. Business logic is hardcoded into COTS platforms. Statutes are interpreted differently across departments. When policy changes, no one knows what breaks — or where the rules even live.
The same applicant often gets different answers in different counties — even under the same statute.
Decisions can't be traced back to the statute that authorized them.
Same facts, different results depending on which system processes the case.
One policy change ripples through systems in unpredictable ways.
You can't simulate the impact of a rule change before deploying it.
Collects applications
Runs workflows
Tracks decisions
❌ No unified policy layer.
A governed decision engine that evaluates policy in real time — and produces a complete evidentiary record for every determination.
Applications & data
Policy Decision Engine
Actions & outcomes
The decision itself — eligible, ineligible, or pending.
Every statute, regulation, and rule that was applied.
The exact logic path the engine followed.
Immutable record of who, what, and when.
Human override documentation and justification.
LexiPoint is built on a three-tier architecture that separates universal logic from domain-specific rules and agency configuration.
Core decision engine, audit framework, and evidentiary record generation. Shared across all domains and agencies. Never customized — always consistent.
Program-specific rules, eligibility criteria, and statute mappings. Managed by policy experts, not engineers. Updated without code changes.
Agency-specific configurations, thresholds, and workflows. Each agency operates on its own rules without affecting others on the platform.
This means policy changes propagate instantly, consistently, and without breaking other systems. You model the change, validate it, and deploy — all within LexiPoint.
Every determination links directly to the statute, regulation, or policy that authorized it. No ambiguity.
Every action, override, and decision is logged with full provenance. Records cannot be altered after creation.
Model the downstream effects of a policy change before it goes live. See which cases and outcomes will be affected.
Policy decisions are evaluated in milliseconds at the point of need — not batched overnight.
Escalation paths for edge cases. Human reviewers can override with documented justification that becomes part of the record.
Deploys on any cloud, on-premise, or hybrid environment. Integrates via API with any system of record.
AI assists caseworkers with summarization, drafting, and data extraction — while LexiPoint ensures every recommendation ties to statute.
AI automates routine determinations within policy guardrails. LexiPoint validates every AI-generated decision before it takes effect.
AI models policy scenarios and predicts impacts. LexiPoint provides the governed data layer that makes this possible — and auditable.
Without a governed policy engine, AI in government is a liability. With one, it's a force multiplier.
We get this question a lot. Here's why the existing categories don't solve this problem.
Every agency is exploring AI. None of them have a governed interface for it.
The models are capable. The problem is they have no connection to the regulatory framework they'd need to operate within. No statute references, no agency policy, no jurisdictional boundaries.
LexiPoint gives AI what it's missing — a structured, statute-grounded policy layer that connects models to the regulatory context they need to operate safely. It doesn't replace AI. It gives AI jurisdiction.
Every recommendation or determination maps to the specific law that authorizes it. AI can assist — LexiPoint ensures the output is legally defensible.
Workflows, permissions, SLAs, and policy constraints are encoded in the ontology — giving AI the jurisdictional boundaries it needs to act within.
Whether a decision is made by a caseworker, a rules engine, or an AI model, LexiPoint produces the same citable, traceable audit trail.
Automate SNAP, TANF, and Medicaid determinations with full statute traceability.
Evaluate applications against regulatory requirements in real time.
Ensure safety assessments follow mandated protocols with documented decision paths.
Process claims against complex eligibility rules with audit-ready records.
Apply tax code logic consistently across returns and assessments.
Evaluate grant eligibility and compliance with federal and state requirements.
Ensure provider determinations meet CMS and state regulatory standards.
Apply NEPA and state environmental regulations to project approvals consistently.
LexiPoint was created by a team with 40+ years of combined experience in state and local government technology. We've built eligibility systems, modernized legacy platforms, and lived the pain of policy-as-code gone wrong.
Meet the team →Map existing policy logic to LexiPoint's rule model.
Statute analysis, stakeholder interviews, gap assessment.
Configure rules, decision paths, and audit templates.
Integration mapping, data model alignment, testing.
Run parallel decisions against live data.
Accuracy validation, edge case resolution, training.
Go live with governed policy decisions.
Production monitoring, ongoing rule management support.
Tell us about your agency and the program you'd like to pilot. We'll show you what governed policy decisions look like.