Service
"Walk me through how you'd handle a customer whose warranty just expired."
Configure a program from your own documents. Employees learn from a live avatar, ask questions, practise the conversations their role needs and show what they understand. Managers follow up from the evidence.
Shown with sample workspace data.
Shown with sample workspace data.
Name the course, who it is for, what they should be able to do after, and how big it should be.
Documents, recordings and written expertise go to the Content Ingestor, which works in the background.
Units and sessions, down to individual learning points, in a shape you can teach from.
One to three per session. Each is a single idea with its own boundary, order and check.
In Build View, read, rewrite, group, drag into order and preview as a learner would.
Approval is deliberate. Any session can return to draft when it needs to change.
A session runs in whichever mode the learning point calls for. Nobody rehearses a customer conversation they haven't been checked on.
Open Sessions sit outside a course: pick a scenario, such as a difficult intake call, and rehearse it.
One idea at a time, at the depth this learner needs.
An open question, or the situation itself. No options to pick from.
The learner answers in their own words, spoken or typed.
The answer is read against this learning point's criteria, with how it was delivered.
Veda targets what was missing, without repeating the whole explanation.
Criteria met, it moves on. If not, the idea returns from a different angle.
Completion is criteria-based: demonstrated, or not yet. It is never a confidence bar reaching 100 percent.
"Walk me through how you'd handle a customer whose warranty just expired."
"I've got fifteen minutes and two other vendors. Why should I keep listening?"
"A colleague asks you to approve an expense just outside policy. Take it from there."
Athira does not make or automate employment decisions, and does not reduce a person to a single emotion, personality or confidence score.
Workspace Brain is the shared memory under Corporate Learning. Every course and session reads from it and writes back to it. It works from day one with no connectors, and gets richer as you add them.
Two-stage trust
Connectors are optional and added one at a time. Corporate Learning works from day one with none of them.
Catalogs, assignments, completion exchange.
User, team and cohort context.
Access and provisioning patterns.
Documents and organizational knowledge.
Entry points and notifications.
Outcomes and program reporting.
These are integration patterns. Which connectors are available is confirmed during implementation, which runs in order: discovery, scope, data boundaries, connection design, validation, launch. See Workspace Brain.
Shown with sample workspace data.