Guided self-help and daily planning companion

For

Clinic-affiliated wellbeing teams and employers offering structured self-help support to adults

Solves

People wait for scarce clinician time while scattered self-help apps, task lists and reminders sit in separate subscriptions with no shared record.

Delivers

Reviewed self-help plan and activity record

Built in

about 6 weeks of creation time, MVP in 7 days

Investment

$13,500 for the MVP, $46,000 for the full product

Run it

Inside your business, or as part of your offer to clients

Give one owned, reviewable place for guided self-help sessions, coping exercises and daily planning.

1. Run guided self-help conversations by voice or text.
2. Follow a structured session flow with mood check, agenda and cognitive restructuring.
3. Apply CBT-based exercises within sessions.
4. Tailor responses to stated mood and history.
5. Remember prior sessions with user-visible memory controls.
6. Offer a coping strategies and mindfulness library.
7. Guide breathing and grounding exercises.
8. Track mood and progress over time.
9. Keep a private journal linked to sessions.
10. Provide an always-available space to vent.
11. Redirect to national crisis hotlines when risk signals appear.
12. Create and modify to-do lists from natural language.
13. Schedule tasks and send reminders.
14. Show activity and productivity trends with suggestions.
15. Let teams customize session and plan workflows.
16. Export a reviewed self-help plan and activity record.

Everything these tools do, in one app

• AI conversational therapy Engage in therapy-like conversations with an AI to receive mental health support.Found in Sonia: AI Therapy, Lotus, Ash and 2 more
• CBT-based sessions Participate in structured sessions that use cognitive behavioral therapy techniques.Found in Sonia: AI Therapy, Lotus, Ash
• Personalized responses Receive responses tailored to your input and emotional state.Found in Lotus, Ash, Mental
• Conversation memory The AI remembers past conversations to maintain context and continuity.Found in Ash, Reassurance AI (Beta)
• Voice or text input Communicate with the AI using either voice or text.Found in Sonia: AI Therapy
• Structured therapy flow Sessions follow a structured format including mood checks, agenda setting, and cognitive restructuring.Found in Sonia: AI Therapy
• Coping strategies library Access a collection of coping strategies, mindfulness exercises, and emotional resources.Found in Lotus, Mental
• Guided exercises Receive guided coping strategies and mindfulness exercises to manage stress and emotions.Found in Lotus, Mental
• Progress tracking Monitor your emotional improvements over time.Found in Mental
• Private journal Maintain a private record of your thoughts and interactions for reflection.Found in Reassurance AI (Beta)
• Safe space to vent Freely express thoughts and feelings anytime in a confidential environment.Found in Reassurance AI (Beta)
• 24/7 availability Access support at any hour without scheduling.Found in Sonia: AI Therapy, Lotus, Ash and 2 more
• Crisis safety protocols Automatically redirects to national help hotlines in emergencies.Found in Sonia: AI Therapy
• Privacy and security Ensures confidentiality and security of user data.Found in Sonia: AI Therapy, Mental
• Task management Create and modify to-do lists using natural language.Found in Wendy, MindGuide
• Scheduling and reminders Automate scheduling and receive reminders for tasks.Found in Wendy, MindGuide
• Productivity analytics Track productivity trends and receive suggestions for improvement.Found in MindGuide
• Customizable workflows Personalize workflows to suit your needs.Found in Wendy, MindGuide

What goes in, what comes out

The workflow

1. In
   Start with

   Consented session notes, mood check-ins, coping preferences and daily task lists

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect consented session notes

4. 3

   Mood check-ins

5. 4

   Coping preferences and daily task lists

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Reviewed self-help plan and activity record

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured session steps and generate candidate responses for the stated task modules. Use deterministic code for crisis keyword routing, schema validation, hard safety rules and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One defined adult self-help scope with clinician-approved content; diagnosis, medication and emergency care remain clinical. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Consent and safety setup, Session workspace, Plan and progress. Use a simple home view for today's check-in and tasks, a large central conversation area with voice or text input, and a right-hand panel for coping exercises, journal entries and reminders. Let users compare past sessions side by side. Display draft, reviewed and escalated states. Provide a clinician or coach review link with comments anchored to the relevant session. Make the task-specific outcome reviewed self-help plan and activity record visible beside its evidence, review state and value baseline.

Accounts and administration

Organization ownership, consent records, session versions, reviewer comments, escalation states, usage allowances, retention limits, export history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

Organization-owned consent records, permitted wellbeing content and authorized scheduling systems. Cloud storage, calendar and reminder services, and approved export destinations. Start with file exchange and validate destination specifications before promising direct clinical integration. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   7 days

   One buyer segment, one recurring use case; first modules: run guided self-help conversations by voice or text; follow a structured session flow with mood check, agenda and cognitive restructuring. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   8 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   3 weeks

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will clinic-affiliated wellbeing teams and employers offering structured self-help support to adults use it to solve "people wait for scarce clinician time while scattered self-help apps, task lists and reminders sit in separate subscriptions with no shared record"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Completed guided sessions per active user and reported coping use between sessions.
4. Measure, then decide. Track completed guided sessions per active user and reported coping use between sessions; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: One defined adult self-help scope with clinician-approved content; diagnosis, medication and emergency care remain clinical. Implement one approved input format, a bounded representative case set and the first two task modules: run guided self-help conversations by voice or text; follow a structured session flow with mood check, agenda and cognitive restructuring. Support the third module with operator review: apply CBT-based exercises within sessions. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around a reviewed self-help plan and activity record. Retain the explicit scope boundary: One defined adult self-help scope with clinician-approved content; diagnosis, medication and emergency care remain clinical.

What the build depends on. Consent capture, session preview, asynchronous processing jobs, editable version history, reviewer access and tested export formats. High-fidelity care use requires qualified clinical review. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One defined adult self-help scope with clinician-approved content; diagnosis, medication and emergency care remain clinical.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined support package. Offer a monthly per-seat allowance after repeat demand. Quote clinical integration or specialist content separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed self-help plan and activity record. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Give one owned, reviewable place for guided self-help sessions, coping exercises and daily planning. Demonstrate a concrete reviewed self-help plan and activity record using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Clinic-affiliated wellbeing teams and employer wellbeing leads professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant health or workplace wellbeing events.

Lead magnet

A reviewed sample self-help plan and activity record from a small authorized input set, with a transparent calculation of completed guided sessions per active user and reported coping use between sessions and no promised savings.

The first 30 days

1. Week 1: interview five clinic-affiliated wellbeing teams and employers offering structured self-help support to adults and inspect a recent example of people waiting for scarce clinician time while scattered self-help apps, task lists and reminders sit in separate subscriptions with no shared record.
2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure completed guided sessions per active user and reported coping use between sessions, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Completed guided sessions per active user and reported coping use between sessions. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Completed guided sessions per active user and reported coping use between sessions; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs a reviewed self-help plan and activity record. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved session flows, coping content and review examples, together with reliable delivery for a narrow care niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for clinic-affiliated wellbeing teams and employers offering structured self-help support to adults. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Sonia: AI Therapy, Wendy, Lotus, Ash, Reassurance AI (Beta), MindGuide and Mental, plus employee assistance programmes and clinician appointments. Compare this product with the buyer's present method on completed guided sessions per active user and reported coping use between sessions. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Model calls, speech processing, storage, reviewer hours, clinician content licensing and client revision rounds. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of a reviewed self-help plan and activity record. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve user privacy, consent, source attribution and usage permissions. Qualified clinicians approve content and escalation rules; users approve plan scope. One defined adult self-help scope with clinician-approved content; diagnosis, medication and emergency care remain clinical. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.