Training programs / Knowledge twins and expert access

Knowledge twins: an expert’s approved knowledge, available when they are not

Members, students and staff ask the same questions. A twin answers from approved material and hands the hard ones back.

The moment

The question arrives in the middle of the night

A nurse on nights has a question only a senior colleague could answer. A member of an association wants guidance the day before a deadline. A student is stuck the evening before an exam. The expert is asleep, booked out or on leave.

A student sits facing a floating head-and-shoulders presence of an academic digital twin, against a dark panel lit with soft blue, practising before the real conversation. — A student faces an academic digital twin.

A staff member wearing a headset sits in a small regional office facing a floating head-and-shoulders presence of a subject-matter expert digital twin, bringing specialist knowledge to a remote team. — A regional staff member faces an expert twin.

A teacher on screen, mid-sentence.

Why it goes wrong

Expertise does not scale by email

The same questions reach the same few people, and the answers live in their inbox. Knowledge that should reach members, students or staff waits for a reply.

Grounded in material the expert chose

A conversational twin answers from a defined set of documents, lectures, case studies or policy manuals. Somebody decides what goes into that set, and can take an item back out again.

Every way to build it

Chat, voice, an avatar and a booked meeting

Didymo, PTR’s digital twin product, lets people choose how they ask.

A booking panel with a calendar beside the chat. A first person AI roleplay scenario for digital twins. — A booking panel beside the chat.

Didymo: chat, voice, avatar, book

Didymo answers in a browser or on a phone, by text, by voice or through a live on-screen avatar, and books a Google Meet with the real person from inside the conversation.

A reviewer watches an AI conversation with the approval controls in view. — A reviewer watches an AI conversation.

A person stays over every answer

The owner reviews what the twin has said, corrects an answer when it needs correcting, and keeps the approved-source list as the boundary of what it may say.

The twin hands over to a human adviser. A first person AI roleplay scenario for applied AI in sensitive conversations. — The twin hands over to an adviser.

Hands over when judgement is needed

When a question falls outside the material or needs judgement, the conversation moves to the person the twin represents, with what has already been said attached.

People arrange tiles for an AI workflow. An AI roleplay scenario for custom AI experiences. — People arrange tiles for a workflow.

Custom AI around your workflow

A custom AI build connects a twin to calendars, booking and business tools, or links it with an AI roleplay partner for training.

A woman gestures toward a blank mannequin head on a bench while a colleague holds a clipboard, screens of soft colour behind them. — Colleagues review a blank model head.

Consent and likeness, settled first

A twin of a real person needs consent, copyright and governance settled before it speaks, a point UNESCO’s AI ethics recommendation raises. Data is processed in the locations and under the terms set out in our governance.

See a twin working

Talk to a twin before you commission yours

The digital twin of PTR’s CEO, Simon Lowe, runs on Didymo. It is a conversational digital twin: a counterpart that answers questions, not a live model of a machine.

A seated consultation: an older person wears a headset beside a face while a human adviser sits in the room, keeping a person in the loop. — A headset wearer faces a twin, adviser nearby.

Try Simon’s Twin

Talk to PTR’s CEO, Simon Lowe’s digital twin by chat, voice or avatar. Ask it about PTR’s work, then ask for a person.

A twin forms above knowledge objects. A first person AI roleplay scenario for digital twins. — A twin forms above knowledge objects.

Who commissions a twin

Associations and peak bodies with member questions, universities with a teacher in demand, and any organisation whose expert cannot be everywhere.

How it runs

Run it the way your team already learns.

Workplace exchanges inside the VR Library.

Run it yourself Your facilitator runs PTR VR Library titles on standalone headsets.

Practice on a monitor, a laptop or a phone. An AI roleplay scenario for AI roleplay and practice.

In a browser Staff rehearse with an AI partner on a laptop, no headset.

A video call grid of people in their own rooms: a study, a kitchen, an office, a lounge, a home desk and a greenhouse.

Facilitated over video A PTR facilitator runs the debrief by video, wherever teams sit.

Facilitators hand over an XR practice session in a workshop room.

With your trainer A trainer you already know runs it, licensed and prepared by PTR.

People adjust the controls around a central model, deciding what a twin may say. An AI roleplay scenario for applied AI in sensitive conversations. — People set what a twin may say.

Start with the question that repeats

Tell us whose knowledge your members, students or staff wait for, and we will show you what a twin of it would do. Talk to us or book a time with our team.