Bridge the
care gap.
500,000+ people waiting. Zero monitoring. Until now.
Transform everyday communication into clinical intelligenceβenabling organizations to monitor patient wellbeing between sessions, prioritize care effectively, and demonstrate real-world outcomes.
The UK Mental Health Crisis
Traditional service delivery cannot scale to meet overwhelming demand.
Young people waiting
Currently waiting for mental health services in UK
Average wait time
Before initial assessment appointment
Monitoring during wait
Critical deterioration happens invisibly
Unmet need
Resource constraints prevent traditional expansion
The Core Insight
People communicate more honestly with friends and family than in clinical settings. A client might minimize struggles in sessionβ"I'm fine, just tired"βwhile their messages to friends reveal isolation, conflict, or deteriorating wellbeing.
Capture
With consent, patients export their WhatsApp communication data
Analyze
AI identifies behavioral indicators, relationship dynamics, and wellbeing signals
Act
Proactive monitoring flags concerning changes for timely intervention
Use Cases for Organizations
Click each use case to see real query examples and organizational impact.
Waitlist Management & Crisis Prevention
The Challenge
Hundreds or thousands of individuals waiting months for services with no monitoring. Deterioration during wait periods leads to more intensive intervention needs.
Example Queries
"Has Emma stopped engaging with her support network in the past 2 weeks? Show change in message frequency and tone" Emma's messages to friends have dropped from daily to once every 5 days. Tone has shifted from collaborative to passive. No longer initiating conversations. Flag for priority contact.
"Analyze all waitlist clientsβwhich 5 show withdrawal, increased conflict, or hopelessness language?" Ranked risk list with specific evidence citations for each flagged individual
"Marcus told us he's 'doing okay' but analyze his actual communication patterns over the past month" Marcus's messages show escalating frustration, sleep complaints increasing from weekly to daily, conflict language in 40% of recent messages vs. 10% baseline. Recommend priority clinical contact.
Organizational Impact
- β Transform passive waitlist into actively monitored population
- β Prioritize appointments based on actual deterioration, not just wait time
- β Intervene before crisis escalation reduces need for expensive emergency services
- β Demonstrate duty of care during wait periods to regulators and funders
Automated Weekly Analysis
"How has Ethan's communication patterns evolved over this week around his core support network?"I notice emerging interactions with Tracy Penn and Chirag, highlighting continued professional and personal networking despite recent personal challenges.
The week reveals a complex narrative of relationship dynamics, with Ethan navigating intense personal conflicts while maintaining professional momentum.
The eventual reconciliation arc with Stephan demonstrates strategic conflict resolution, while family tensions and romantic relationship changes underscore significant emotional complexity. Professional boundary setting with Sam reflects mature interpersonal skills.
Strengths Identified
- β’ Conflict resolution skills
- β’ Boundary-setting ability
- β’ Professional resilience
- β’ Support network utilization
Areas to Explore
- β’ Family tensions
- β’ Romantic relationship changes
- β’ Emotional complexity
- β’ Multiple concurrent stressors
This level of insight would traditionally require 20-30 minutes of session timeβcounselor arrives informed and can focus on deeper therapeutic work.
Implementation for Your Organization
A structured pilot program designed for responsible adoption.
Phase 1: Foundation
- β Staff training on platform usage, clinical querying, and ethical considerations
- β Patient consent process development and ethics review
- β Select 10-15 appropriate patients for pilot (informed consent critical)
- β Establish data ingestion workflows and security protocols
Phase 2: Active Pilot
- β Clinical staff use platform for session preparation and patient monitoring
- β Monthly supervision and feedback sessions to refine workflows
- β Track time savings, clinical insights gained, and early intervention opportunities
- β Document case examples and outcome improvements
Phase 3: Evaluation & Scale
- β Formal evaluation of pilot outcomes (efficiency, interventions, measurement quality)
- β Decision point: Scale to broader organization or refine approach
- β Develop organizational guidelines and best practices
- β Staff satisfaction and clinical value assessment
Phase 4: Integration
- β Expand to additional service lines and client populations
- β Integration with existing clinical workflows and systems
- β Ongoing training for new staff
- β Continuous quality improvement based on usage data
What Success Looks Like
Real outcomes from organizations using the platform.
Waitlist Management
"We identified 8 clients showing early deterioration signs and moved them to priority appointmentsβlikely prevented 3 crisis presentations to A&E"
"Reduced 'did not attend' rates by 30% through proactive engagement with clients showing disengagement patterns"
"Funders impressed by our active waitlist monitoring demonstrating duty of care during delays"
Outcome Measurement
"Generated objective behavioral evidence showing 65% of treatment completers demonstrated sustained real-world improvements 3 months post-discharge"
"Identified gap between self-reported outcomes and behavioral evidence for 25% of clients, enabling targeted booster sessions"
"Commissioning team accepted our outcome data as gold-standard evidence, leading to contract renewal"
Clinical Efficiency
"Counselors report saving 15-20 minutes per session on information gathering, allowing reallocation to therapeutic work"
"Reduced average assessment period from 4 sessions to 1.5 sessions with more comprehensive patient understanding"
"Able to serve 20% more clients without adding clinical hours through efficiency gains"
Prevention
"Identified emerging crisis patterns for 12 clients over 6 months, intervened early, prevented escalation in 10 cases"
"Demonstrated prevention effectiveness to funders: 70% reduction in crisis service utilization for monitored population"
"Developed predictive early warning patterns specific to our client population"
Early Pilot Partner Benefits
We ask pilot partners to identify staff champions, commit 10-15 patient pilot cohort, and provide regular feedback.
Organizational FAQs
Common questions from healthcare organizations.
What This Means for Your Organization
Monitor more people without proportional increase in clinical hours
Objective behavioral data demonstrating real-world impact
Early intervention before crisis escalation
Make limited clinical time more effective
Position as leader in technology-augmented care
Ready to Transform Your Service?
The mental health crisis demands new approaches. Let's explore how this platform could serve your organization and your clients.
No pressure, no rush. Contact us at partnerships@mysecondbrain.app