Simulation & Training

A safe environment to practise difficult mental-health interactions before they happen in real care. The AIMHI Training Simulator pairs configurable AI synthetic clients with structured evaluation and live voice and video — under full educator control.

Who It’s For

Students & trainees

Medical, nursing, social-work, psychology and psychiatry trainees rehearsing supervised practice before working with real patients.

Lecturers & training admins

Academic staff who design scenarios, build cohorts, set assignments and review trainee performance.

Practising clinicians

Qualified therapists using the simulator for continuing professional development, modality cross-training and competence checks.

Clinical supervisors

Senior clinicians who tailor each practitioner’s practice library and review AI evaluations before releasing them.

What You Can Practise

Common and complex presentations — mood, anxiety, psychosis, personality, trauma, substance use, eating disorders, neurodevelopmental, CAMHS, older-adult and forensic
A range of clinical settings — outpatient, emergency, inpatient, community, GP, CAMHS, liaison and telehealth
Difficult conversations, risk assessment, and rupture-and-repair
Modality cross-training across CBT, DBT, MBT, motivational interviewing and person-centred approaches
Varying disclosure and difficulty — from open and low-risk to guarded, high-risk and expert level
Different levels of pre-session information — full brief, referral-only, or a blind walk-in

How It Works

1

Choose a scenario

Each scenario pairs an AI synthetic client with a clinical setting, presenting complaint and learning objectives.

2

Interact realistically

Practise by text chat, voice message, or full live video call with auto-played AI responses — the same interaction patterns used in real care.

3

Assess in-session

Administer standardised tools mid-session where appropriate (e.g. PHQ-9, GAD-7, AUDIT, PCL-5), validated against the platform’s assessment catalogue.

4

Get structured evaluation

An AI evaluator scores the full transcript against a configurable, visibility-aware rubric — so missing something the learner was never told is not judged like missing something flagged in the brief.

5

Supervisor review

A lecturer or supervisor reviews every transcript and can override the AI evaluation before it is released to the learner.

6

Repeat & track

Re-run scenarios, vary the difficulty, and track progress and therapeutic-alliance trends over time.

Built for Educators

Practice happens under your governance — not the platform’s.

Curate the library

Decide exactly which scenarios and assessments each cohort or practitioner can access.

Control the conditions

Set time limits, gate AI feedback, and choose how much a learner sees before they begin.

Review before release

Every transcript and AI evaluation can be reviewed — and overridden — before a learner sees a score.

Map to your curriculum

Tag scenarios to your own frameworks (e.g. Royal College, CPI BST) and assemble coherent assignment sets.

What the Simulator Is — and Is Not

  • •It does not replace clinical placement, supervision, or real clinical experience.
  • •It does not, by itself, certify clinical competence.
  • •Synthetic clients can carry the limitations and biases of the underlying AI models, which is why educator governance and review are built in.
  • •Its educational validity, reliability and effect are themselves things we evaluate with partners — not assumed.

The simulator complements supervised education and clinical training; it does not substitute for them. It is also an opportunity for research into educational validity, skill transfer, assessment consistency and fairness.

See It in Action

The Training Simulator is available to demonstrate today. Request a walkthrough for your programme, or discuss a training pilot.

Request an educator demonstrationDiscuss a training pilot