Clinician-Led Artificial Intelligence Solutions for Mental Healthcare
Founder - Charlie Carroll
HCert, BSc, PGDip, MSc, DForenPsy
The Hidden Burden on Clinicians and Organisations
Mental health professionals are drowning in admin. Progress notes, formulations, and risk documentation can consume up to 40% of a clinician’s week — time that could otherwise be spent with clients.
For a clinician billing £80/hour, that’s £600–£800 of lost income every week — or £30,000+ per year, per clinician.
But the challenges don’t stop there.
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Clinicians carry huge responsibility for identifying and documenting risk. Human error or inconsistency can have serious consequences.
A single missed red flag can result in legal exposure or safeguarding failures that cost organisations tens of thousands in liability, reputational damage, or contract loss.
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Between sessions, many clients disengage, miss appointments, or drop out of treatment altogether.
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Between sessions, many clients disengage, miss appointments, or drop out of treatment altogether.
Each missed session means £60–£120 in lost revenue and poorer clinical outcomes, leading to higher relapse and re-referral costs.
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Organisations are under pressure to deliver care at scale while meeting ever-higher governance and compliance standards.
Failing an audit or inspection can trigger penalties, loss of contracts, or re-inspection costs running into the hundreds of thousands.
Our Solution: AI That Works for Mental Health Services
We deploy safe, off-the-shelf Artificial Intelligence tools into your existing workflows — backed by clinical oversight — to cut admin by up to 50%, save £20,000–£40,000 per clinician annually, reduce risk exposure that can cost tens of thousands, and strengthen care delivery at scale.
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Auto-drafting SOAP/DAP/progress notes
Generating case formulations from intake data
Drafting treatment plans
Discharge summaries and referral letters
Impact: Saves 5–10 hours per week for each clinician.
For a clinician billing £80/hour, that equates to £400–£800 per week, or £20,000–£40,000 annually. -
Natural language processing to flag suicide, self-harm, or violence risk
Real-time alerts escalated for clinician review
Pattern tracking across sessions (sentiment, engagement, escalation)
Impact: Reduces human error and liability exposure.
Avoiding even one safeguarding failure can save tens of thousands in legal costs, investigations, and reputational damage. -
AI chatbots for psychoeducation, CBT homework, journaling prompts
Mood check-ins logged for therapist review
Daily reminders that improve adherence
Impact: Helps reduce dropout rates by 10–20 percent.
For a clinic charging £80 per session, retaining just 10 extra sessions per month delivers close to £10,000 in additional annual revenue per clinician. -
Sentiment analysis across session transcripts
Identification of themes and patterns (for example hopelessness, anger triggers)
Dashboards for supervisors and clinical directors
Impact: Improves supervision and optimises caseloads.
A five percent efficiency gain in a 20-clinician practice can equate to more than £80,000 annually. -
Aggregated, anonymised staff wellbeing data
Predictive analytics for burnout and supervision needs
Impact: Reduces staff turnover, which typically costs £30,000–£50,000 for each clinician who leaves.
Preventing the loss of just one staff member more than covers the cost of a pilot. -
AI-generated role-plays and mock client scenarios
Supervision sessions summarised into actionable points
Resource packs created automatically to support caseloads
Impact: Lowers training costs and accelerates professional development.
Saving two hours a month of supervisor time across 10 clinicians equates to around £20,000 annually.
Our Story
Charlie founded Myprotherapies in 2022 after years of hearing the same troubling stories from clients and colleagues. Emails would go unanswered for weeks at a time. Patients were waiting months, sometimes years, and paying thousands for a diagnosis, only to find their symptoms had intensified in the meantime. Services were struggling with backlogs, inefficiencies, and staff burnout.
It became clear that the statistics about worsening mental health weren’t abstract; they reflected a system where both clients and clinicians were under immense strain.
After five years of study and clinical practice, Charlie saw an opportunity to do things differently. His aim was to build services that were effective, accessible, and responsive — and to combine this foundation with the emerging potential of Artificial Intelligence. Applied safely and ethically, these tools could address the root problems of wasted time, inconsistent risk management, disengaged patients, and overstretched systems.
Today, Myprotherapies partners with clinics, practitioners, insurers, and local authorities to implement AI-informed solutions that cut administrative burdens, deliver measurable financial savings, strengthen risk detection and compliance, and improve accessibility and engagement for clients.
The mission remains simple: to make mental healthcare more efficient, safer, and more human — by using AI to give clinicians back the time and energy they need to focus on people, not paperwork.
Testimonials