Echo

AI support for the work after a consultation

A consultation can end with several administrative commitments: arrange a follow-up, prepare a referral, ask a colleague to complete a task or tell someone what happens next. When those actions remain scattered across notes and memory, it becomes harder to check whether each has an owner and a clear next step.

Echo focuses on that administrative follow-up. It prepares work discussed in the conversation for review, rather than replacing the professional’s judgement. This page explains the product and evaluation questions for organisations, including teams in Saudi Arabia. The public Echo experience and demonstration remain on the separate live product site.

What Echo currently demonstrates

The public site describes capturing a consultation, identifying follow-up details and presenting actions for review. Its examples cover tasks, appointments, referrals, messages and record updates. The visitor can correct details or supply information that was not mentioned before giving approval.

The public demonstration simulates the follow-through. It does not book real appointments or send real messages. Demonstration results should not be read as evidence that Echo is already connected to a particular hospital system, patient record or messaging service.

A reviewable list instead of another unstructured note

The useful unit of work is an action that someone can inspect. A task may need a responsible person and due date. A follow-up may need timing and prerequisites. A referral may need a recipient and a clear reason. The review step should expose missing information instead of hiding it inside a polished-looking summary.

For evaluation, prepare a fictional scenario with several different commitments. Check whether the proposed actions reflect what was actually said and whether omissions or ambiguities are easy to correct. Do not use a real patient’s information in the public demo.

Talk, review and approve

Echo’s public flow moves from the conversation to a review list and then to an approved simulated run. The key distinction is that recognising an action does not automatically authorise it. The person reviewing the output remains responsible for checking what will happen.

Use the demonstration to examine that boundary. Check a date, change a recipient and review a task that requires clarification. A useful demonstration makes it clear which information came from the conversation and which details had to be added during review.

Clinical follow-up without making unsupported clinical claims

Echo should be evaluated as support for administrative coordination around a consultation. It is not a substitute for diagnosis, treatment decisions or clinical responsibility. A generated referral draft or follow-up task needs appropriate review before any real-world use.

For a healthcare organisation, the important next discussion is how its own pathways, roles, approval requirements and systems would be supported. The public demonstration does not establish a regulatory certification, a clinical outcome improvement or a production integration. Those questions require evidence appropriate to the intended deployment.

Questions to resolve before real operational use

• Workflow: which actions may be prepared, which may be executed and which always require another person?
• Systems: where would appointments, tasks, referrals and updates actually be written?
• Data: where would information be processed, what would be retained and who could access it?
• Exceptions: what happens when a destination is unavailable, a request is ambiguous or a required field is missing?
• Review: who checks the output, approves the action and verifies that the intended result occurred?

These are evaluation requirements, not claims that every destination or control is already available. Integration and delivery should be scoped against the systems and permissions involved.

Using the public demonstration responsibly

The public Echo site instructs visitors to use fictional consultation information and states that its experience does not retain an audio recording. Treat that statement as a description of the public experience; it is not a substitute for a deployment-specific review of processing, transcripts, retention and access.

A useful sample might mention a fictional follow-up, an administrative task and a draft referral. Examine the resulting list, correct missing details and observe the simulation. Do not upload real patient records to this central website or submit them through the demo enquiry form.

Evaluating Echo for a Saudi organisation

Start with the actual pathway you want to improve, the languages used in the consultation and the people responsible for follow-up. Define the expected outputs and review the handling of Arabic and English in that specific workflow during assessment. Do not infer a production language capability solely from the availability of this bilingual information page.

Bring data-handling, hosting and system-access requirements to the discussion before any real deployment. A generic statement about AI efficiency cannot answer those questions. The right outcome of an initial discussion is a clear scope and an evidence-based evaluation plan.

Explore the product and its learning area separately

Open Echo to try the public experience. Use the Echo Video Academy for product-specific learning and the follow-up workflow guide to prepare an evaluation.

To discuss the product or a specific operational requirement, request an Echo demonstration. For broader questions about deciding what an agent should do, see agentic AI consulting.