Screenshot of the Expert persona practice and coaching platform interactive demo
Screenshot of the interactive demo, on sample data

Expert persona practice and coaching platform

Run persona practice, debate and outbound call rehearsal in one owned platform.

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For
Sales teams, trainers and facilitators running practice, coaching or workshop sessions
Solves
Teams need realistic expert and buyer personas for practice, debate and coaching, but today they rent several separate tools and cannot keep the transcripts, scripts or scoring in one owned system.
Delivers
Reviewed practice sessions, scored call transcripts and coaching reports
Built in
about 5 weeks of creation time, MVP in 6 days
Investment
$13,000 for the MVP, $44,000 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

Run persona practice, debate and outbound call rehearsal in one owned platform.

  1. Chat with AI versions of approved experts and buyer personas.
  2. Browse a large persona catalogue with clear source labels.
  3. Ground persona answers in permitted public quotes and documents.
  4. Define persona descriptions, attributes and boundaries.
  5. Create multiple persona profiles with distinct personalities.
  6. Share profiles for feedback and approval.
  7. Showcase selected conversations for team review.
  8. Run debate and expert-advice drills with reasoning notes.
  9. Support mobile chat and calling for practice anywhere.
  10. Host a community space for shared sessions and challenges.
  11. Accept requests for new personas through a review queue.
  12. Provide a simple interface that encourages exploration.
  13. Automate outbound practice calls with editable scripts.
  14. Prioritize practice leads by engagement and score.
  15. Monitor live sessions and performance analytics.
  16. Sync contacts and outcomes with CRM systems.
  17. Record and transcribe calls for review and training.

Everything these tools do, in one app

What goes in, what comes out

What the customer puts in
  • Approved persona descriptions
  • Public source quotes
  • Call scripts
  • Scoring rules

AI drafts, people review. Interactive practice or facilitated workshop platform.

What the customer gets
  • Reviewed practice sessions
  • Scored call transcripts
  • Coaching reports
02

How it works

The workflow

  1. In
    Start with

    Approved persona descriptions, public source quotes, call scripts and scoring rules

  2. 1

    Confirm the buyer's problem and scope

  3. 2

    Collect approved persona descriptions

  4. 3

    Public source quotes

  5. 4

    Call scripts and scoring rules

  6. 5

    Then follow this sequence: 1

  7. Out
    Finish with

    Reviewed practice sessions, scored call transcripts and coaching reports

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for scoring arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One approved persona set and one call-script format; final coaching judgments and outbound contact decisions remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Persona library and setup, Live practice or call session, Review and coaching report. Use a card gallery for personas, a large central conversation or call panel, and a right-hand panel for scoring, source quotes and facilitator notes. Let users compare attempts side by side. Display draft, changes requested and approved states. Provide a shared session link with comments anchored to the relevant turn. Make the task-specific outcome reviewed practice sessions, scored call transcripts and coaching reports visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, persona versions, shared session links, approval states, usage allowances, session limits, download 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

Buyer-owned scripts, approved persona material and permitted public sources. CRM systems, calendar and contact tools, cloud storage and call-recording destinations. Start with file exchange and validate destination specifications before promising direct CRM or telephony sync. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

03

How we build it

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

    6 days

    One buyer segment, one recurring use case; first modules: chat with AI versions of approved experts and buyer personas; browse a large persona catalogue with clear source labels. Manual review in the loop. Built by our AI software factory.

  3. 3

    Paid pilot

    7 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 sales teams, trainers and facilitators running practice, coaching or workshop sessions use it to solve "teams need realistic expert and buyer personas for practice, debate and coaching, but today they rent several separate tools and cannot keep the transcripts, scripts or scoring in one owned system"?
  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 practice sessions per facilitator hour and improvement between first and later attempts.
  4. Measure, then decide. Track completed practice sessions per facilitator hour and improvement between first and later attempts; 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 approved persona set and one call-script format; final coaching judgments and outbound contact decisions remain human. Implement one approved input format, a bounded representative case set and the first two task modules: chat with AI versions of approved experts and buyer personas; browse a large persona catalogue with clear source labels. Support the third module with operator review: ground persona answers in permitted public quotes and documents. 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 reviewed practice sessions, scored call transcripts and coaching reports. Retain the explicit scope boundary: One approved persona set and one call-script format; final coaching judgments and outbound contact decisions remain human.

What the build depends on. Persona upload and preview, asynchronous session jobs, editable version history, reviewer access and tested export formats. High-fidelity voice practice requires specialist QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One approved persona set and one call-script format; final coaching judgments and outbound contact decisions remain human.

04

Investment

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

  1. Phase 1

    MVP

    One buyer segment, one recurring use case; first modules: chat with AI versions of approved experts and buyer personas; browse a large persona catalogue with clear source labels. Manual review in the loop.

    $13,000 · about 6 days of creation time

  2. Phase 2

    Paid pilot

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

    $13,000 · about 7 days of creation time

  3. Phase 3

    Full product

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

    $18,000 · about 3 weeks of creation time

Indicative total, MVP to full product$44,000about 5 weeks of creation time · start with the MVP from $13,000

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.

StageHosting and infrastructureAI usageTotal per month
MVP and paid pilotabout 3 customers$30–$60$50–$110$80–$170
Full productabout 50 customers$110–$210$420–$840$530–$1,050
05

Run it or resell it

Internally

For your own team

Sales teams, trainers and facilitators running practice, coaching or workshop sessions run it inside the business: approved persona descriptions, public source quotes, call scripts and scoring rules in, reviewed practice sessions, scored call transcripts and coaching reports out, reviewed by your people.

For your clients

As part of your offer

Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.

Your brand, or this one

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

  • primary#912773
  • accent#54c96c
  • surface#f1e4ed
  • ink#22201e
Headings
Playfair Display
Text
Source Sans 3
Voice
Direct, upbeat, outcome-focused
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 persona and script package. Offer a monthly practice allowance after repeat demand. Quote complex custom persona or telephony work separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed practice sessions, scored call transcripts and coaching reports. 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

Run persona practice, debate and outbound call rehearsal in one owned platform. Demonstrate a concrete reviewed practice sessions, scored call transcripts and coaching reports using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Sales teams, trainers and facilitators running practice, coaching or workshop sessions professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewed practice sessions, scored call transcripts and coaching reports from a small authorized input set, with a transparent calculation of completed practice sessions per facilitator hour and improvement between first and later attempts and no promised savings.

The first 30 days

  1. Week 1: interview five sales teams, trainers and facilitators running practice, coaching or workshop sessions and inspect a recent example of teams need realistic expert and buyer personas for practice, debate and coaching, but today they rent several separate tools and cannot keep the transcripts, scripts or scoring in one owned system.
  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 practice sessions per facilitator hour and improvement between first and later attempts, 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 practice sessions per facilitator hour and improvement between first and later attempts. 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 practice sessions per facilitator hour and improvement between first and later attempts; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewed practice sessions, scored call transcripts and coaching reports. 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 personas, scripts, scoring rules and review examples, together with reliable delivery for a narrow training niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for sales teams, trainers and facilitators running practice, coaching or workshop sessions. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Banter AI, personas by myGPTBrain, Ghola and CallStar, plus generic chat tools and manual role-play. Compare this product with the buyer's present method on completed practice sessions per facilitator hour and improvement between first and later attempts. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Model calls, voice or telephony minutes, storage, reviewer hours, client revision rounds and licensed source material. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of reviewed practice sessions, scored call transcripts and coaching reports. Track cost per accepted output, including correction work, unsuccessful cases and support.

06

Safeguards

Preserve persona accuracy, source attribution, quotation accuracy and usage permissions. Named reviewers approve persona content and outbound contact scope. One approved persona set and one call-script format; final coaching judgments and outbound contact decisions remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

Get this solution built

Built for you by our AI software factory, MVP in about 6 days. Tell us about your business and how you want to run it: inside your company, or as part of what you offer your clients. We reply within one working day.

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