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Supervisia Companion · For qualified therapists with real clients

The missing piece between your therapy sessions.

Therapist-directed AI homework, validated outcome measures, and a dashboard that shows what's actually changing — not an autonomous chatbot, an extension of your clinical work.

Inside Companion
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Visual formulation

Build the formulation that drives everything

A visual 5-part model and longitudinal formulation builder. Drag to link components, export to PDF for your clinical records. Every homework exercise your client receives is shaped by this — not a generic script.

Visual formulation · Sarah J. · 5-part model
Standing in the supermarket queue
Situation
Queue at supermarket
Thought
“They’re judging how I look”
Emotion
Anxiety 8/10
Body
Hot, dizzy, heart racing
Behaviour
Leaves without buying
Linked to
Core belief: defective
Drag to link, export as PDF, and the formulation will shape every homework exercise Sarah receives.
Quick walkthroughs
Click to play · 60–120 seconds each
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The evidence base

Why Companion is therapist-directed, not autonomous

Companion's design choices map directly to four areas of published research: homework adherence, measurement-based care, alliance rupture detection, and the limits of autonomous AI therapy. Not founder opinion — the literature your sceptical colleagues will already know.

Homework adherence drives outcomes

A meta-analysis of 17 CBT studies (2,312 clients) found that homework compliance was significantly associated with treatment outcome at post-treatment (quantity g = 0.79, quality g = 0.78) and follow-up (quantity g = 0.51, quality g = 1.07). The strongest finding: homework quality matters more than completion quantity.

Kazantzis, N. et al. (2016). Quantity and Quality of Homework Compliance: A Meta-Analysis of Relations With Outcome in Cognitive Behavior Therapy. Behavior Therapy. PubMed ID: 27816086.
Routine outcome measurement works — when fed back

Over 40 RCTs support routine outcome measurement (ROM) with feedback as a system for improving outcomes, reducing dropout, and increasing efficiency. A UK NHS Talking Therapies study of 2,233 patients found 8.01% more patients reliably improved when therapists received feedback alerts. Intake-and-discharge measurement alone misses the signal.

Lutz, W. et al. (2022). Continuous outcome measurement in modern data-informed psychotherapies. World Psychiatry. PMID 35524594. Plus Delgadillo et al. (2021), Behaviour Research and Therapy, DOI 10.1016/j.brat.2021.103873.
Alliance ruptures predict dropout

A meta-analysis of adult individual psychotherapy found a moderately strong relationship between weaker therapeutic alliance and dropout (d = .55). Pre-dropout sessions show progressive disengagement — reduced participation, withdrawal, missed homework — rather than a single abrupt event. Early rupture detection is the highest-leverage retention move.

Sharf, J., Primavera, L. H., & Diener, M. J. (2010). Dropout and therapeutic alliance: A meta-analysis of adult individual psychotherapy. PubMed ID: 21198249. Plus Eubanks et al. (2018) rupture repair meta-analysis, PMID 30335462.
Autonomous AI therapy hasn't worked

A 2026 mixed-methods RCT of Wysa within NHS Talking Therapies concluded there was “no evidence that Wysa treats depression in this study”, with engagement limited by the conversational agent. Woebot's consumer app shut down in mid-2025. The regulatory direction — FDA, MHRA, APA — is toward supervised AI as a clinical adjunct, not autonomous therapy. Companion is built for that direction of travel.

Real-World Testing of an Artificial Intelligence Conversational Agent as an Early Intervention and Support Tool in the Mental Health Referral Care Pathway (2026). PubMed ID: 41784284. Plus FDA Enabled Digital Mental Health Medical Devices guidance (2025); APA (2025) statement on AI chatbots posing as therapists.

Further reading: Lebeau et al. (2013) on homework adherence and outcome variance; 2023 systematic review (PMID 37104804) on between-session collaborative design; Safran & Muran rupture taxonomy. Full reference list available on request.

Dig deeper · Read the article
The CBT homework problem — what the Kazantzis meta-analysis actually says
Read the article
Dig deeper · Read the article
Why Wysa and Woebot stumbled — and what therapist-directed AI does differently
Read the article
The problem with homework

CBT is a 168-hour-a-week therapy. We see clients for one.

Most therapeutic change happens between sessions. But homework completion rates sit at 50–80% in best-case studies — and the worksheets that do come back are often skimpy, late, or never reviewed properly.

20–50%
Homework non-completion
10+ min
Per-client worksheet review (unbillable)
Months
To spot core belief patterns manually
#1
Predictor of dropout: alliance rupture

Built for clinical work, not engagement metrics

Evidence-based exercises, validated outcome measures with RCI and NHS Talking Therapies benchmarks, suicide-risk monitoring built in, and pattern detection that runs continuously. Built by a practising CBT therapist, used inside the formulation you set.

Formulation-informed conversations

You set the 5-part formulation and longitudinal history. The AI uses it to shape every homework exercise — Socratic, evidence-based, never freelancing. No competitor offers this.

PHQ-9, GAD-7, CORE-10, WSAS with RCI + NHS Talking Therapies

Automatic scoring, Reliable Change Index calculations, comparison against NHS Talking Therapies recovery benchmarks. Outcome evidence commissioners and insurers can use — one-click PDF report.

Q9 suicide-risk monitoring

PHQ-9 Question 9 monitored automatically with configurable alert thresholds. Historical risk tracking. A clinical safety net — without turning the app into a crisis service.

Pattern + alliance detection

Cross-exercise pattern analysis identifies recurring core belief themes. Engagement signals flag potential alliance ruptures before they become dropouts. The clinical intelligence runs in the background.

Who Companion is for

Qualified CBT therapists who care about outcomes — and want their clinical expertise to extend beyond the room.

Private practice

Differentiate on outcomes

Show prospective clients you measure what matters. Hand commissioners and insurers RCI-backed evidence. Cut admin time on homework review and write better, more focused sessions.

NHS Talking Therapies teams

Built around the standards you already use

PHQ-9, GAD-7, CORE-10 and WSAS with NHS Talking Therapies benchmark comparisons. Q9 monitoring. Reports that line up with the metrics your service is measured on. UK data residency available.

Charity & EAP services

Stretch your clinical reach

Make therapist time go further by giving clients structured between-session support that you direct. Demonstrate impact to funders with outcome reports they can quote in their next bid.

On the roadmap

What's coming next

We build deliberately. Each addition has to earn its place against the same standard as everything that's already shipped: built by a practising supervisor, grounded in evidence, and useful in real clinical work.

Pre-session intelligence briefing

A 30-second read before each session. What your client did this week, where engagement dipped, any new patterns the system surfaced, and a suggested agenda — so the time you have with them is the highest-value time it can be.

Voice mode for client conversations

Some clients won't type. Older adults, dyslexia, neurodivergence, busy parents, low literacy. Voice mode opens Companion to all of them — same engine, same formulation, same outcome tracking. Just spoken.

Crisis-aware response protocol

If a client's PHQ-9 Q9 elevates mid-conversation, Companion shifts its stance — acknowledge, ground, signpost (Samaritans, 111, A&E), and immediately alert you. Built around UK crisis pathways and the safeguarding standards your regulator already expects.

Specialty modules

Perinatal mental health, OCD with ERP scaffolding, insomnia (CBT-I), health anxiety, chronic pain, eating disorders. Each module purpose-built around its evidence base, not a generic exercise library re-skinned. Sequenced by clinical need and your network's reach.

The Supervisia bridge

Your clients' patterns flow into your supervision — with your consent.

Anonymised client patterns from Companion can flow into the supervision side of Supervisia, so the things you'd struggle to remember by Friday afternoon are already there when you sit down with your supervisor. No competitor can do this because no competitor has all three pillars — train, supervise, practise.

Waitlist members get early access to each capability as it ships, plus a say in what we build next.

Therapist-directed — no autonomous treatment
Anonymised client identifiers
UK data residency available
GDPR compliant · safeguarding alerts built in

Be among the first therapists using Companion.

Companion is rolling out to a select group of UK CBT therapists first. Join the waitlist for early access, founding-member pricing, and direct input into the roadmap.

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