Every use case starts with a machine-readable operating model

Use cases only become production systems when the business rules are explicit. Rippletide uses Automatic Ontologies to structure each domain into entities, policies, rules, exceptions, outcomes, and authority boundaries before agents execute.

Bootstrap the operating model

Automatic Ontologies turn policies, SOPs, APIs, workflow logs, IAM data, and evaluated traces into a first Decision Ontology for the use case.

See Automatic Ontologies →

Resolve contradictions before runtime

Rippletide surfaces policy, schema, process, and authority conflicts while the ontology is being structured, not after the agent has acted.

Understand contradiction detection →

Enforce every action

The validated ontology feeds the decision runtime so each agent action can be approved, blocked, escalated, and traced before execution.

Explore Decision Infrastructure →

Score readiness before rollout

Use the production readiness test to identify whether a workflow is still a demo, monitored agent, governed agent, or production-grade candidate.

Run the Readiness Test →

Forward Deployed AI Teams

Customer deployments that compound

FDE and solutions teams are too valuable for six months of schema work before agents can safely act.

With Rippletide:

Automatic Decision Ontology bootstrap from docs, APIs, workflow logs and traces
Contradiction detection across policies, schemas, IAM and real processes
Plain-English expert validation instead of manual ontology DSL work
Reusable ontology patterns across accounts without customer data leakage
Runtime enforcement so validated field knowledge controls execution

Compatible with:Automatic Ontologies Decision Infrastructure

Result: Faster deployments, less bespoke schema work, and field learning that becomes reusable decision infrastructure.

Customer Support Agents

Governed AI for mission-critical support

AI support agents can answer customers. But refunds, exceptions and commitments require authorised decisions.

With Rippletide:

Decision rules for refunds, credits and escalations
Guardrails before any customer-facing commitment
Deterministic decision paths
Full audit trail for disputes and compliance

Compatible with:Salesforce Agentforce AWS Bedrock

Result: AI support that scales, without legal or reputational risk.

Coding Agents

Governed code & UI generation

Coding agents can generate code and interfaces. Without constraints, outputs become inconsistent and hard to maintain.

With Rippletide:

Enforced UI genres (design systems, component libraries, interaction patterns)
Reproducible and identical UI structures across projects
Validation before commit, merge or deploy
Separation between intent (LLM) and authorisation (Rippletide)
Full traceability of generated code and UI decisions

Compatible with:OpenAI CodexLangChainMistral AI

Result: Let AI generate code and interfaces, without breaking consistency.

Cybersecurity Incident Response

Governed automation for SOC environments

Security agents can investigate and respond to incidents. But automated actions must be controlled, explainable and auditable.

With Rippletide:

Explicit decision logic for isolate, block or revoke actions
Severity, confidence and blast-radius thresholds
Human-in-the-loop enforcement when required
Post-incident auditability and compliance evidence

Compatible with:NVIDIAGoogle ADK

Result: Automate incident response without losing control.

Background Agents & AI Analysts

Accountable analysis, not black-box insights

AI analysts generate insights that influence strategy, risk and operations. Without governance, their conclusions are impossible to trust.

With Rippletide:

Structured decision logic and causal reasoning
Versioned rules and assumptions
Long-term decision memory
Explainable conclusions and audit trails

Compatible with:SnowflakeMicrosoft Foundry

Result: From opaque analysis to accountable decisions.

Legal Review Agents

Governed AI for contracts, compliance and legal workflows

Legal agents can review contracts, flag risky clauses and draft recommendations. But legal interpretation, approvals and external commitments require controlled, auditable decisions.

With Rippletide:

Decision rules for clauses, risk levels and approval thresholds
Guardrails before legal recommendations or client-facing responses
Human approval for sensitive, non-standard or high-liability cases
Versioned legal playbooks and policy logic
Full audit trail of decisions, rationale and escalation paths

Compatible with:Automatic OntologiesMicrosoft FoundryMistral AI

Result: Accelerate legal workflows without losing control over risk, authority or accountability.

Healthcare & Clinical Operations Agents

Accountable AI for regulated healthcare workflows

Healthcare agents can support triage, documentation, eligibility checks and care coordination. But health-related actions must remain explainable, compliant and safely governed.

With Rippletide:

Explicit logic for triage, eligibility, escalation and care workflows
Guardrails before patient-facing or operational actions
Role-based approval flows for clinical and compliance teams
Traceable reasoning for audits, quality review and incident analysis
Policy enforcement across HIPAA, GDPR and internal standards

Compatible with:AWS BedrockGoogle ADKMicrosoft Foundry

Result: Bring AI agents into healthcare operations with the governance layer required for trust.

Financial Services & Risk Agents

Controlled AI decisions for regulated financial workflows

Finance agents can detect anomalies, assess risk, route exceptions and support underwriting, claims or credit workflows. But financial decisions require clear thresholds, compliance evidence and human oversight.

With Rippletide:

Decision logic for risk scores, eligibility, exceptions, approvals and escalations
Threshold-based controls before financial or customer-impacting actions
Human-in-the-loop enforcement for regulated or high-risk decisions
Explainable paths for audit, compliance and model risk review
Consistent policy execution across teams, products and regions

Compatible with:Automatic Ontologies AWS BedrockSnowflake

Result: Scale financial AI automation while preserving compliance, control and customer trust.

Built for the teams accountable for AI decisions

Rippletide gives every team a shared control layer for high-stakes agent actions, from first deployment to enterprise-wide governance.

AI & Platform Leaders

Standardize how agents decide, escalate and act across models, teams and use cases.

Risk, Compliance & Legal Teams

Turn policies, approvals and audit requirements into enforceable decision logic.

Regulated Operations Teams

Deploy support, healthcare, finance and security agents with pre-action controls.

Forward Deployed & Solutions Teams

Convert customer discovery into reusable operating models, not one-off schemas.

Decision Trust Layer

Build AI agents you can actually trust

Rippletide is not an agent framework. It is the decision trust layer that makes agents production-ready, powered by Automatic Ontologies that structure the rules every use case depends on.

Deterministic decisions
Pre-execution enforcement
Full audit trail
Production-grade reliability
Reusable across any AI agent workflow