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AI Rule Engine

ruleengine.ai

From $49/mo Free plan WebAPISelf-hosted
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Spec score 8.5 #3 of 18 in Business Rules Management Software

What it is

AI Rule Engine automates operational decisions governed by customer-authored policies, including claims triage, eligibility, prior authorization, and underwriting referral. Customer rules determine outcomes; AI can classify, extract, or summarize unstructured material into facts used by those rules. Run traces show which rules fired, their order, matched values, and changes to decision context. Static verification can flag rules that cannot fire, duplicates, conflicting writes, and input combinations without a matching rule; saved tests can gate releases. The product supports outbound HTTP actions, marketplace extensions, durable storage actions, and external API access. Native model options include Anthropic Claude, OpenAI ChatGPT, Azure OpenAI, Google Gemini, and xAI Grok, using customer-provided keys. All plans include an MCP server for configured assistants to trigger workflows and access permitted files and logs. Free, Pro, Team, and Enterprise support shared hosting; Enterprise can use up to three dedicated Azure hosts. Free is free, Pro $49 a month, Team $199 a month, and Enterprise $999 a month. The maker notes it has no SOC 2 attestation, DPA or BAA, or independent third-party penetration test.

Spec sheet

Purpose
AI Rule Engine automates policy-governed operational decisions such as claims triage, eligibility, prior authorization, and underwriting referral, recording why each decision was made.Read 7 Oct 2026 · ruleengine.ai
Integrations
The product supports outbound HTTP API actions, marketplace extensions, durable storage actions, and API access for external systems.Read 7 Oct 2026 · docs.ruleengine.ai
Support
Enterprise includes live onboarding and support, while Premium Support is a paid add-on offering business-hours coverage and stated P1 and P2 response targets.Read 7 Oct 2026 · ruleengine.ai
AI agents
Every plan includes an MCP server that can let configured AI assistants trigger workflows and access permitted files and run logs.Read 7 Oct 2026 · ruleengine.ai
AI providers
Native AI model support includes Anthropic Claude, OpenAI ChatGPT, Azure OpenAI, Google Gemini, and xAI Grok, using customer-provided provider keys.Read 7 Oct 2026 · ruleengine.ai
Data handling
On dedicated Azure deployments, production run data stays in the customer's tenant, while rule authoring data and test cases remain in the maker's control plane.Read 7 Oct 2026 · ruleengine.ai
Decision logic
Deterministic rules authored and approved by the customer determine outcomes, while AI can classify, extract, or summarize unstructured input into facts.Read 7 Oct 2026 · ruleengine.ai
Explainability
Run traces record which rules fired, their order, matched condition values, and changes made to the decision context.Read 7 Oct 2026 · ruleengine.ai
Hosting
Free, Pro, Team, and Enterprise support shared hosting, and Enterprise can deploy up to three environments as dedicated hosts in the customer's Azure subscription.Read 7 Oct 2026 · ruleengine.ai
Overage
All plans auto-bill run overage through credits, with one credit covering 100 runs; dedicated-host runs are not metered.Read 7 Oct 2026 · ruleengine.ai
Rule testing
Static verification identifies rules that cannot fire, duplicates, conflicting writes, and input combinations with no matching rule; saved tests can gate releases.Read 7 Oct 2026 · ruleengine.ai
Security controls
Available controls include OIDC and SAML SSO, SCIM provisioning, IP allowlisting, custom roles, append-only audit events, SIEM streaming, and RSA-SHA256 signed release records.Read 7 Oct 2026 · ruleengine.ai
Security limitations
The maker states that it has no SOC 2 attestation, does not yet offer a DPA or BAA, and has not had an independent third-party penetration test.Read 7 Oct 2026 · ruleengine.ai
Use-case audience
The maker presents the product for regulated operations teams handling insurance claims and underwriting or health-plan eligibility and prior authorization.Read 7 Oct 2026 · ruleengine.ai

Plans and prices

Free Free $0/ month 1 virtual environment · 200 ruleset runs/month · 2 author seats · 7-day log retention · 12-hour session window · no file storage Read 7 Oct 2026 · ruleengine.ai
Pro $49 a month $49/ month 3 virtual environments · 10,000 ruleset runs/month · 5 author seats · 30-day log retention · 72-hour session window · 5 GB file storage/environment Read 7 Oct 2026 · ruleengine.ai
Team $199 a month $199/ month 15 virtual environments · 50,000 ruleset runs/month · 15 author seats · 90-day log retention · 336-hour session window · 20 GB file storage/environment Read 7 Oct 2026 · ruleengine.ai
Enterprise $999 a month $999/ month 50 virtual environments · 500,000 ruleset runs/month · 25 author seats · up to 3 dedicated Azure hosts · unlimited log retention and file storage · live onboarding and support Read 7 Oct 2026 · ruleengine.ai
Custom Priced on request Quoted annually rather than listed Negotiated environment, run, and seat allowances · regional data residency · on-premises deployment · custom contract terms Read 7 Oct 2026 · ruleengine.ai

Every AI Rule Engine plan and price →

Strong points and limits

Strong points

  • Rule outcomes are determined by customer-authored logic
  • Run traces show fired rules and matched values
  • Saved tests can gate releases
  • Supports multiple customer-keyed AI providers
  • Free plan includes 200 monthly runs

Limits

  • Maker states it has no SOC 2 attestation
  • No DPA or BAA is offered yet
  • No independent third-party penetration test
  • Free plan has no file storage

Who it suits

It suits regulated operations teams handling insurance claims and underwriting or health-plan eligibility and prior authorization. Teams that need auditable, testable decision rules may value its rule traces and release-gating tests.

Verdict

AI Rule Engine combines deterministic policy decisions with AI-assisted processing of unstructured input, plus traces and rule testing. Its stated security limitations are material for regulated deployments, so assess them alongside hosting and plan limits.

Where Specifiction places it

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