From Process and business logic mapping
Clarifeye maps and versions enterprise wide business processes, making them reusable and continuously synchronized as they evolve
Infrastructure for
Living Business Logic
Your business logic is your most valuable asset. Clarifeye captures, structures, and governs it so your AI agents can actually execute.
A New Class of Infrastructure:
the System of Work
To Accountable AI Teammates
Clarifey makes it GenAI ready and encodes them into accountable AI teammates that reason consistently, trace every decision to source, and improve with every interaction
The Architecture
Four-Component Framework for Living Logic
Clarifeye ingests business logic and exception-handling rules through controlled interfaces and normalizes them into structured, versioned artifacts for execution and governance.
Powered by Clara 1
Clara generates a first version autonomously. Process owners review and validate.
Context Capture
Clara works from two inputs: conversations with logic owners and direct ingestion of your data corpus (documents, PDFs, databases, ERP).
Clara produces two outputs: Knowledge Artifacts & Data Structuration Strategy
2
Turn knowledge artefacts into a knowledge warehouse
The Knowledge Warehouse
LLMs operate within constraints defined by the Reasoning Workflows, Knowledge Data and Search Tools following the encoded logic like any human teammate would.
Auto Mode: Approved logic updates propagate end-to-end automatically.
Manual Mode: Versioning policies, approval gates, and controlled rollouts via UI and API.
3
Deploys into your preferred stack via API and MCP server.
4
Every change validated against previously high-confidence interactions before rollout.
The Logic Flywheel
End users provide feedback. Clara analyzes it and proposes targeted updates to logic or search capabilities. Approved changes promote back into the Knowledge Warehouse.
Enterprise Infrastructure
Built for Production Environments
Auditability
The system traces every decision through explicit reasoning steps back to source data, keeping the human-in-the-loop.
Governance & Versioning
Every change is versioned, tracked, and validated before rollout, with full decision lineage and approvals.
Integration
The platform integrates via connectors, API or Model Context Protocol with existing enterprise stacks.
Model Agnostic
The system decouples logic from inference and supports LLM rotation without rebuilding.
Zero Data Training
The platform does not train on customer data.
Security & Compliance
SOC 2 Type II. SSO with granular RBAC. End-to-end encryption.
Technical FAQ
How does this differ from standard RAG? 
Clarifeye is not a RAG system. It is a system that captures and structures business logic and exception-handling rules, and then deploys them as accountable AI teammates.
What is the Context Flywheel?
A governed feedback loop where business users and logic owners continuously improve reasoning logic and deployment behavior.
Can the system handle multimodal data?
Yes. Clarifeye supports textual, visual, and tabular data.
How do changes get deployed?
Changes are versioned, validated, and promoted through controlled approvals.
What LLMs does Clarifeye support?
Clarifeye is model-agnostic and supports most major LLMs.
Schedule a Technical Architecture Review
Review integration patterns, deployment options, and security protocols with our solutions team.
Contact us