Applied AI for sensitive conversations.

People are already taking their hardest questions to general-purpose AI. We build systems designed for that weight.

THE BUILDING BLOCKS

How does PTR build applied AI?

The same parts appear in every build: a twin or companion that talks, the approved knowledge it draws on, the person who reviews it, and the workflow it hands into.

Digital twins

A version of a real professional that can talk to clients, answer questions and handle simple tasks around the clock.

Two people adjust a generic character. An AI roleplay scenario for custom AI experiences. — A companion is shaped around its purpose.

AI companions

Domain-grounded conversational systems designed around a defined purpose, approved knowledge and clear boundaries.

One person speaks at a screen station while a colleague listens. An AI roleplay scenario for applied AI in sensitive conversations. — A hard conversation, held out loud.

Conversational agents

Chat and voice assistants that hold real conversations, with configurable guardrails and escalation paths.

A practitioner moves knowledge into a tray. An AI roleplay scenario for custom AI experiences. — Only what the organisation has approved.

Approved knowledge

Retrieval over approved content so responses reflect the organisation's own policy, practice and expertise.

A reviewer appears above an AI figure. A first person AI roleplay scenario for custom AI experiences. — A person stays over the answer.

Human oversight

AI that extends practitioners' reach rather than replacing their judgement, with review and audit built in.

Two people arrange follow-up objects. An AI roleplay scenario for digital twins. — The task carries on where it belongs.

Connected workflows

Connect conversations to calendars, booking, follow-up and business tools.

AI LANES

What can PTR build with AI?

A twin that answers as a named professional, a practice partner for hard conversations, and an experience built around one organisation's own knowledge. The same building blocks, arranged differently for each job.

A professional faces her own digital twin. An AI roleplay scenario for digital twins. — A professional faces her own digital twin.

Digital twins: Didymo

A digital twin for professionals with no time to spare

Clinicians, advisers and educators answer the same questions every week. Didymo, PTR’s own product, answers them from the professional’s approved material, by chat, voice, a live avatar or a booked meeting, and hands over to the person when a conversation needs them.

Explore digital twins Learn About Didymo

Simon's Twin, ready to talk about PTR.

Meet PTR’s CEO, Simon Lowe, as a digital twin.

Talk about VR training or AI with Simon's Twin in chat, voice or a live avatar call.

Explore digital twins →Learn about Didymo →

AI roleplay and practice

Practise the conversation before it matters.

A difficult conversation, rehearsed on a laptop or phone as many times as it takes, with the same briefing, structured review and human escalation PTR uses in its VR practice work. No headset needed.

Try AI roleplay now More about AI roleplay

"AI plays a crucial role here as well, especially now, helping to script and gamify scenarios that provide a more realistic experience. It enables us to craft narratives that adapt in real-time, making the experience progressively more challenging and thus more effective."

Simon Lowe, PTR's CEO. Simon Lowe
CEO, People Tech Revolution, on AI inside PTR's scenarios. The Cusp of a Revolution, Global Best Practice Group, October 2024

Custom AI experiences

Built around your knowledge, your people and your workflow.

PTR combines the building blocks above, a twin or companion, approved knowledge, human oversight and connected workflows, with what an organisation already knows and how it already works.

Every build moves through discovery and consultation, co-design workshops, prototyping and development, testing and deployment, and ongoing support. The full process is on our approach.

Explore custom AI experiences

What does it look like in practice?

The person the practising person faces, and the human adviser it hands over to.

A colleague across the table, arms folded. A first person AI roleplay scenario for applied AI in sensitive conversations. — A colleague across the table, arms folded.

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 a human adviser.

A colleague waits for your opening line.

A manager across the boardroom table, mid-sentence.

DIGITAL TWINS

Meet the product by using it.

Chat, a voice call, a live avatar on screen and a booked meeting are ways into the same conversation with the twin on this page. Each runs on the phone or browser you already have.

A tester types a message into a phone beside a designer. An AI roleplay scenario for digital twins.

Chat

Type a question on your phone or in the browser. The twin answers in text, drawing only on material the organisation has approved.

Explore chat →

A man holds a phone to his ear in a dark studio, a ribbon of light running from a stack of message panels to the handset.

Voice

Speak instead of typing. A voice call with the twin, on the phone or in the browser, in the twin's own voice.

Explore voice →

Avatar

A live face on your phone or laptop screen, for the conversations that need one.

Explore the avatar →

Book

Book real time with the person the twin represents: a Google Meet appointment, made straight from the conversation.

Explore booking →

A practitioner draws two controls inward and the translucent boundaries around an AI station contract. An AI roleplay scenario for applied AI in sensitive conversations. — Setting the limits of what it answers.

Built for organisations where trust matters.

Every build draws on approved knowledge, works inside boundaries the organisation sets, keeps a person over the answer and leaves a record that can be audited, with deployment and data-location options where available.

PTR's commitments on AI

Who is on the other end of a twin?

A twin answers one person at a time. What changes is how many of those conversations the professional behind it can be part of.

A woman stands at the centre of a dark studio, a ring of shadowed figures around her and threads of light linking each one to her. — One adviser, a room full of clients.

The same answer, given many times over

A professional can hold one conversation at a time. A twin grounded in their approved material can hold the first part of many, then bring them the ones that need their judgement.

A man stands in a dark studio behind a wall of glowing message panels, reading the conversation from the other side. — Someone reading an answer as it arrives.

And what it looks like from their side

The person asking gets a reply at the hour they asked it, drawn from what the professional approved, and a way through to that professional when the question needs one.

How a twin is built

And at the hour they ask it

Most questions do not arrive during office hours. The one that comes in late is answered from the same approved material as the one that comes in at eleven in the morning.

A man stands alone in a large dark room, a single glowing message panel lit beside him. — A question asked with nobody at the desk.

Nobody is at the desk, and the answer still comes

A twin does not improve overnight or invent something to fill the gap. It answers from what the organisation approved, and the professional can read the whole exchange in the morning.

AI IN XR AND MOBILE

Can AI run inside XR and mobile apps?

AI runs wherever your people are: a web page, a laptop, a phone, a VR headset or smart glasses. Only VR itself needs a headset; the twin and the practice partners above do not.

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.

An expert twin inside a VR scenario. A staff member in a headset asks a specialist's twin from a regional office. Explore XR.

A person wearing a headset talks with a face that answers back, a difficult conversation brought into practice range.

A face that answers in the headset. The practice conversation, held inside the scenario instead of on a screen. Explore XR.

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 human adviser in the room. An older person in a headset beside a face, with an adviser sitting in. Explore XR.

A learner holds a phone above pipework. A rapid prototyping scenario for mobile experiences, from idea to working product.

AR on a phone. A phone held over pipework shows the layer an app adds to the real thing. Explore mobile experiences.

A warehouse picker checks a phone build between the racks. A rapid prototyping scenario for mobile experiences, from idea to working product.

An app on the warehouse floor. A picker checks a phone build between the racks, the kind of iOS or Android app a companion can live in. Explore mobile experiences.

The tablet check-in, tried in the waiting room it is for. A rapid prototyping scenario for mobile experiences, from idea to working product.

A tablet in the waiting room. The check-in, tried in the room it is for. Explore mobile experiences.

Practise with someone who answers back

Put the headset on and the manager, the client or the upset customer is already in the room. Say what you would say at work. They respond to your words, not a script, so you can try the hard line a different way each time before it counts.

Practising a hard conversation with a manager, one to one. A first person AI roleplay scenario for applied AI in sensitive conversations, seen through the headset. — Talking it through with a manager.

A customer at a plain counter, for practising a service conversation. A first person AI roleplay scenario for applied AI in sensitive conversations, seen through the headset. — A service conversation at the counter.

A colleague seated across a meeting table, for practising feedback. A first person AI roleplay scenario for applied AI in sensitive conversations, seen through the headset. — Giving feedback at the meeting table.

Two interviewers at a table, one nearer than the other, for practising an interview. A first person AI roleplay scenario for applied AI in sensitive conversations, seen through the headset. — Facing a panel of interviewers.

A visitor beside an empty chair in a consultation room, for practising a first meeting. A first person AI roleplay scenario for applied AI in sensitive conversations, seen through the headset. — A first meeting with a new visitor.

A supervisor beside a blank wall panel, for practising a conversation with a supervisor. A first person AI roleplay scenario for applied AI in sensitive conversations, seen through the headset. — Raising it with a supervisor at the whiteboard.

When more than one person is in the room

Two colleagues in an open team area, and an adviser at a consultation table. The practice is the same: speak, and they answer.

Two colleagues in an open team area, for practising a team conversation. A first person AI roleplay scenario for applied AI in sensitive conversations, seen through the headset. — A team conversation in the open office.

An adviser at a consultation table, for practising an advice conversation. A first person AI roleplay scenario for applied AI in sensitive conversations, seen through the headset. — An adviser across the consultation table.

After the conversation, the review

The answer given is held up against the intended one, and a walk-through space shows how the parts of an experience fit together.

Two people beside floating abstract shapes, one holding the answer given and one the intended flow. A first person AI roleplay scenario for applied AI in sensitive conversations, seen through the headset. — Checking the answer against the intended one.

Three people at separate points in a demonstration space, each beside its own interaction point. A first person AI roleplay scenario for applied AI in sensitive conversations, seen through the headset. — Walking through the experience in the demo space.

Where do the approved answers come from?

Before a twin says a word, someone chose the material it may draw on and the lines it will not cross.

Two people connect an approved source card to an abstract AI panel, and nothing else. An AI roleplay scenario for applied AI in sensitive conversations. — Choosing the approved source it answers from.

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

Written with the staff who will face it

Your frontline staff bring the moments they dread. We turn them into scenarios, they test and critique each one, and it is rebuilt until it sounds like their workplace, before anyone else practises in it.

A maker wearing a headset gestures above a clear bench in a timber workshop, where a brief takes shape. An AI roleplay scenario for applied AI in sensitive conversations. — Shaping the brief in a timber workshop.

A man wearing a headset sits in a plain chair and pinches above its arm, testing the interview chair from the seat. An AI roleplay scenario for applied AI in sensitive conversations. — Testing the interview chair from the seat itself.

A man wearing a headset raises a hand above a plain cup at a cafe table, rehearsing a service moment. An AI roleplay scenario for applied AI in sensitive conversations. — A cafe service moment, rehearsed at the table.

A designer wearing a headset pinches beside a smooth white model, the critique pass on a scenario. An AI roleplay scenario for applied AI in sensitive conversations. — A designer checks the model at critique.

Decide with these

Which pages help you decide on AI?

Start with how AI works, then the questions a review, a budget or a team will ask.

Learn how it works

Plain explanations of AI, digital twins, AI in XR and AI roleplay.

A learner sorts tokens beside a facilitator. A VR training scenario for what is AI.

Sorting picture cards into trays at a table.

What is AI? How AI learns patterns, where it fails, and when people must oversee it.

A person stands beside a floating knowledge panel in a room. A first person MR scenario for AI and XR.

A woman stands beside a floating panel.

What is a digital twin? The engineering model and the AI that answers: what each term means.

A clinical character responds inside a headset view. A first person VR training scenario for AI and XR, seen through the headset.

A seated woman speaks, a panel beside her.

AI and XR. XR builds the place and AI makes it respond.

An employee sits across a meeting table. A first person VR training scenario for AI training and roleplay, seen through the headset.

An employee across the table, replies floating nearby.

AI for training and roleplay. Repeatable practice for hard conversations, its limits, and where people stay essential.

Decide and check

The product pages, the program page and the answers a governance review needs.

An adult sits facing a floating head-and-shoulders presence of a subject-matter expert digital twin, backed by soft abstract light, practising a conversation.

A headset wearer faces an expert’s digital twin.

Knowledge twins and expert access. Answers from approved material for associations, universities and scarce experts.

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

A team maps a workflow around the table.

For innovation and digital leads. AI governance frameworks, where data sits, and agreements, from pilot to program.

People sort tokens beside an analytics display. A VR training scenario for immersive VR training questions answered.

A team sorts tokens beside a coloured display.

Governance and security. Where data is stored, how access is protected, and the document behind each.

A visitor greets a generic digital silhouette.

A wireframe twin stands beside a woman.

Didymo. Chat, voice, an avatar or a booked meeting, answering from approved material.

A customer mid-sentence, hand raised, at a desk.

AI roleplay and practice. Rehearse a difficult conversation on a laptop or phone, then run it again.

Questions buyers ask

What do buyers ask before an AI build?

Short answers, each with a link to the full answer.

A practitioner rehearses a conversation beside a facilitator. — Rehearsing in the headset, a facilitator alongside.

What does an AI roleplay partner do?

It plays the other side of a hard conversation. A session runs as a briefing on the scenario and the objective, a live conversation in which the learner speaks or types and the AI answers, a structured review against set criteria, and the same scenario again. It can be replayed privately as many times as it takes. AI roleplay and practice walks through the format.

A woman guides small glowing shapes toward a wireframe human figure, a panel of blank lines on the wall behind them. — Knowledge passed to a wireframe figure.

What does a knowledge twin answer from?

From the organisation’s own approved material, not general knowledge picked up from the open internet. The professional decides what goes in and what stays out, reviews what the twin has said, corrects an answer when it needs correcting, and keeps the approved-source list as the boundary. Didymo shows how it works.

How do people reach a twin?

Through chat, a voice call, a live avatar on screen or a booked meeting, each on the phone or browser a visitor already has. Booking ends with a Google Meet in the diary of the person the twin represents, and the context of the conversation travels with it. Didymo walks through each way in.

What will our AI governance review ask?

A governance committee, a privacy officer and an IT reviewer each ask a different question. Storage, compute and hosting run in an Australian region by default, or where a client chooses, and a subprocessors register lists each provider by category and location. For innovation and digital leads maps Australia’s AI Ethics Principles and the NIST AI RMF to the documents behind each answer.

A facilitator turns over a feedback card. A VR training scenario for AI training and roleplay. — A colleague talks it through in person.

When does a conversation move to a person?

When a question needs a person, the conversation moves to them with the context already in place, so it starts where the visitor left it. The twin is built to extend a professional’s reach, and the owner can read the whole exchange and correct an answer. Knowledge twins and expert access covers the handover.

A person wearing a mixed-reality headset gestures toward an unseen panel, a mentoring session run inside a headset. — Practising in a headset against a green screen.

Should practice be AI roleplay or a VR scenario?

AI roleplay puts the counterpart on a laptop or phone, which suits staff spread across sites and shifts. A VR scenario places the learner in a convincing setting, with a sense of presence a flat screen cannot match, and AI can make the character in it respond. Each follows the same briefing, review and repeat pattern. AI and XR covers the pairing.

A practitioner discusses feedback with a coach. An AI roleplay scenario for AI roleplay and practice. — A coach talks the attempt through.

Where does a human facilitator still lead?

Conversational AI reads language, structure and pacing. It cannot read body language or cultural nuance the way a human facilitator can, so mentorship and peer discussion still do that work. PTR grounds each roleplay in the organisation’s own policy and practice, with human oversight and a clear path back to a person. AI for training and roleplay covers where each fits.

A woman gestures toward a blank mannequin head on a bench while a colleague holds a clipboard, screens of soft colour behind them. — A blank head reviewed, clipboard in hand.

What consent does a twin of a real person need?

Consent, copyright and ethical governance of a real person’s likeness or voice are settled before the build. A digital twin then operates with consent, and with ongoing oversight of what it says on the person’s behalf. Governance and security lists what travels during a live twin call and how long information is kept.

Bring us the AI problem this team is trying to solve.

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WHERE NEXT

Where to go next in AI

Each page goes deeper on one way PTR builds AI: the twin that answers for a professional, the practice partner for hard conversations, and the experience built around one organisation.