Start with a verified operational signal.
A threshold, request or workflow event enters the system with source and scope attached.
AFIYORA's product direction separates the operational system of record from rules-based automation and governed AI assistance. Each layer adds capability without removing human accountability.
The model organizes features by the level of responsibility they carry. Inventory Operations is the only currently available product; cloud, automation and agentic capabilities remain planned.
Connect the people, records, queues, resources and financial context required to run a clinic without assembling the truth across separate tools.
Explore this layer
Automation can prepare, route and monitor work while clinic teams retain the authority to review exceptions and approve consequential actions.
See the planned decision path an automated or agent-assisted workflow must follow inside AFIYORA.
A threshold, request or workflow event enters the system with source and scope attached.
The workflow considers policy, role, service level and the set of allowed next steps.
Clinical, financial and externally visible actions can pause for responsible human review.
Signal, recommendation, approval, execution and outcome remain attributable for monitoring and improvement.
AFIYORA's planned automation model begins with defined triggers and ends with an attributable outcome. Approval can be inserted wherever risk, policy or professional judgment requires it.
A verified event, threshold or request enters the workflow.
Rules consider scope, priority and permitted next steps.
The right queue, owner and service level are selected.
A person reviews sensitive or consequential actions.
An approved action is completed through a controlled path.
Context, decision, actor and outcome remain reviewable.
Proposed agents are organized around clinic responsibilities. They gather context and prepare the next best action inside permissions, policy and human review. Each use case requires separate evaluation before roadmap commitment.
Prepare appointment options, identify waitlist matches and draft arrival or follow-up communications.
Staff approves changes and messages.Surface expiry and low-stock exceptions, prepare replenishment suggestions and assemble traceable review queues.
Authorized users approve stock action.Assemble billing exceptions, missing-information queues and reconciliation candidates for finance review.
No unsupervised financial posting.Monitor queue pressure, room or resource constraints and unfinished work across the clinic day.
Leaders control priorities and escalation.Prepare structured drafts or summaries from approved source context for professional review.
Clinicians remain the final author.Draft next-step guidance and route non-clinical questions to the correct service or person.
No autonomous clinical advice.Responsible clinic AI requires more than a model. It needs an operating system for permission, review, measurement and intervention.
Each assistant is limited by role, organization, data and allowed action.
Clinical, financial and externally visible actions can require explicit human review.
Reviewers should see the information and logic used to prepare a proposal.
Requests, proposals, approvals, execution and exceptions remain attributable.
Accuracy, exceptions, reversals and service impact require ongoing measurement.
Teams need safe ways to stop, override or reverse automation when appropriate.
These assistants are roadmap concepts subject to technical validation, clinical safety review, data-governance controls and market-specific requirements. AFIYORA does not propose autonomous diagnosis, prescribing or unsupervised clinical decision-making.
Tell us which work is repetitive, where exceptions occur and who must approve each outcome. We will separate today's available scope from planned automation and AI capabilities.