Turn company processes
into AI workflows
that finish the work.
Onfria turns documentation, rules and experience into governed AI workflows with rule checks, human approval and a full audit trail. We start with a paid AI Process Audit, then pilot one workflow before operational rollout.
Designed for safe AI adoption in knowledge-heavy teams
Most company AI projects stop too early.
Chatbots and document search help teams find an answer. In business operations, the value comes when a case moves through rules, exceptions, approvals, outputs and control.
Knowledge is scattered
Documents, rules and decision practice live across different systems, teams and habits.
The process is not governed
AI may answer, but it does not guide the user through required steps, controls and responsibilities.
Impact is hard to measure
Without a defined workflow, there is no clear owner, audit trail or before-after comparison.
Onfria turns existing company processes into AI workflows with ownership, rules and measurable outcomes.
Chatbots and RAG-based search answer questions. Onfria guides a case from input to outcome — using documentation, rules, roles and approval gates.
Case input
A document, request, question or internal event starts a specific workflow.
Knowledge and rules
The workflow uses relevant documentation, internal rules, history and context.
Human control
Sensitive steps have a defined place for validation, approval or escalation.
Output and audit trail
The team gets a usable output, decision record and data for ROI evaluation.
The difference is not the model. The difference is whether AI follows the process.
Typical chatbot or RAG
- Finds an answer or a relevant passage.
- Context often stays outside the process.
- Ownership and control sit outside the tool.
- Output is usually text in a chat.
Onfria AI workflow platform
- Guides a specific case through defined process steps.
- Works with rules, knowledge and exceptions.
- Adds human control where it matters.
- Creates a usable output — document, action or record.
From case input to approved outcome.
Every run follows a governed path: AI helps with knowledge-heavy work, your team keeps the final say.
Connect your systems
Sync knowledge bases, documents and business tools. Onfria builds one governed index across your stack.
Design the workflow
Compose agents, triggers and approval gates on a visual canvas. Test before you deploy.
Operate with oversight
Onfria executes and escalates to your team only when needed. Every action is logged and auditable.
Adopt AI in three controlled steps.
Onfria does not start with a tool rollout. We map the process, prove one workflow and only then expand what works.
Audit
Pilot
before rollout
AI Process Audit
We map knowledge-heavy processes, assess where AI workflow makes sense and produce a prioritized roadmap with business impact.
Knowledge Flow Pilot
We select one concrete workflow and validate how AI helps the team move a case from input to usable output.
Managed AI Workflow
After validation, Onfria supports operation, improvement and measurement so the workflow stays governed, auditable and connected to real work.
Use cases are selected from the process, not from a catalog of ready-made products.
After an AI Process Audit, Onfria may select workflows in quality, internal support, audit preparation, procurement documentation or engineering knowledge. These are examples, not product promises.
For companies where knowledge work can no longer run on documents and goodwill alone.
100-3000+ employees
Typically mid-sized and larger teams with knowledge-heavy operations.
Repeated workflows
Support, quality, audit, engineering and procurement work that repeats across cases.
Controlled AI adoption
Rules, approval gates, audit trail, ROI and a clear owner before rollout.
Designed for controlled AI adoption.
Security, data access and approval rules are scoped during the audit so the pilot can run inside your governance constraints.
Access model
Workflow scope includes data sources, permissions, roles and ownership before a pilot begins.
Human-in-the-loop
Critical decisions keep a named human reviewer, escalation path and approval record.
Audit trail
Sources, proposed outputs, approvals and exceptions are captured for review.
Data boundaries
EU hosting, private cloud or on-premise options can be evaluated based on your data requirements.
Vendor-neutral models
Model and hosting choices can be matched to security, cost and data constraints.
Security review ready
The audit identifies what IT, legal and procurement need before a pilot can move forward.
Detailed security and DPA scope is defined during the audit and pilot planning.
Start with the process, not the tool.
Tell us about your knowledge-heavy processes. We will identify whether an AI Process Audit makes sense, which area to scope first and what evidence is needed before a pilot.