Real-time interactive video avatar sales assistant

For

Sales teams and revenue operations leaders who need interactive video avatars for lead engagement and rep practice

Solves

Sales teams rent separate tools for live avatar conversations, roleplay practice, outbound calling and post-call analysis, so data and workflow stay fragmented.

Delivers

Reviewed avatar conversations and rep coaching reports

Built in

about 5 weeks of creation time, MVP in 5 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

Reduce tool sprawl while keeping sales conversations grounded and measurable.

1. Run real-time spoken conversations with an AI avatar.
2. Create avatars without writing code.
3. Customize avatar appearance and voice to match brand.
4. Support conversations in many languages.
5. Keep reply times short for natural pacing.
6. Ground answers in uploaded documents.
7. Show charts, images or product demos during conversation.
8. Track viewer questions and engagement in a dashboard.
9. Connect to calendars, CRMs and meeting platforms.
10. Provide pre-built agent templates for common scenarios.
11. Allow white-label rebranding of the interface.
12. Show facial expressions and emotions during interactions.
13. Let sales reps practice objection handling and discovery.
14. Run autonomous outbound calls to qualify, remind or demo.
15. Surface relevant context from connected data during live calls.
16. Analyze recordings or transcripts for what worked and where deals stalled.
17. Let teams use their own AI model provider keys.
18. Generate personalized video messages by replicating voice and appearance.
19. Compare the reviewed result with the recorded baseline and value assumptions.
20. Capture corrections and named-owner approval before consequential use.
21. Export a versioned reviewed avatar conversations and rep coaching reports with source references and unresolved questions.

Everything these tools do, in one app

• Real-time video conversations Lets users have live spoken conversations with an AI avatar that responds in real time.Found in eSelf, Happyverse, Avaturn Live and 1 more
• No-code avatar creation Lets users build and launch avatars without writing code.Found in eSelf, Soul Machines, Happyverse
• Customizable avatars and branding Lets users design avatar appearance and voice to match their brand.Found in eSelf, Soul Machines, Happyverse and 1 more
• Multilingual support Enables conversations in many languages for global audiences.Found in eSelf, Happyverse
• Low-latency responses Keeps reply times short so conversations feel natural and responsive.Found in eSelf, Agentic videos by D-ID, Avaturn Live
• Document grounding Ties answers to uploaded documents to keep responses relevant and reduce hallucinations.Found in Happyverse, Agentic videos by D-ID
• Visual content sharing Lets the avatar show charts, images, or product demos during a conversation.Found in eSelf, Agentic videos by D-ID, Happyverse
• Analytics dashboard Tracks viewer questions and engagement to help improve content.Found in Agentic videos by D-ID, Conversational Replicas by Tavus
• Integration with external tools Connects to other services like calendars, CRMs, or meeting platforms.Found in eSelf, Happyverse, Tough Tongue AI for Sales and 1 more
• Pre-built agent templates Provides ready-made agents for common scenarios to speed up deployment.
• White-label options Allows businesses to rebrand the interface to match their own products.
• Emotional expressions Enables avatars to show facial expressions and emotions during interactions.Found in Soul Machines, Avaturn Live
• Sales roleplay practice Lets sales reps practice objection handling and discovery through voice-based scenarios.Found in Tough Tongue AI for Sales
• Autonomous outbound calls AI agents can call leads to qualify, remind, or demo, then book next steps.Found in Tough Tongue AI for Sales
• In-meeting assistance Surfaces relevant context from connected data sources during live calls.Found in Tough Tongue AI for Sales
• Post-call analysis Analyzes recordings or transcripts to show what worked and where deals stalled.Found in Tough Tongue AI for Sales
• Bring your own model keys Lets teams use their own AI model provider keys to control costs.Found in Tough Tongue AI for Sales
• Video replica creation Generates personalized video messages by replicating a user's voice and appearance.Found in Conversational Replicas by Tavus

What goes in, what comes out

The workflow

1. In
   Start with

   Approved scripts, product documents, CRM records and call recordings

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect approved scripts

4. 3

   Product documents

5. 4

   CRM records and call recordings

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Reviewed avatar conversations and rep 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 stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One approved avatar set and licensed voice model; final sales claims and compliance checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Avatar studio and brand setup, Live conversation console, Sales practice and review. Use a thumbnail gallery for avatars and scenarios, a large central conversation canvas, and a right-hand panel for documents, CRM context and comments. Let users compare avatar versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant conversation. Make the task-specific outcome reviewed avatar conversations and rep coaching reports visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, avatar versions, client comments, approval states, usage allowances, call 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

CRM systems, calendar tools, meeting platforms and document repositories. Cloud storage, design-file import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. 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

   5 days

   One buyer segment, one recurring use case; first modules: run real-time spoken conversations with an AI avatar; create avatars without writing code. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   6 days

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

4. 4

   Full product

   2 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 and revenue operations leaders who need interactive video avatars for lead engagement and rep practice use it to solve "sales teams rent separate tools for live avatar conversations, roleplay practice, outbound calling and post-call analysis, so data and workflow stay fragmented"?
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: Qualified conversations per week and reduction in manual follow-up effort.
4. Measure, then decide. Track qualified conversations per week and reduction in manual follow-up effort; 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 avatar set and licensed voice model; final sales claims and compliance checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: run real-time spoken conversations with an AI avatar; create avatars without writing code. Support the third module with operator review: customize avatar appearance and voice to match brand. 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 avatar conversations and rep coaching reports. Retain the explicit scope boundary: One approved avatar set and licensed voice model; final sales claims and compliance checks remain human.

What the build depends on. Avatar upload and preview, asynchronous generation jobs, editable version history, reviewer access and tested export formats. High-fidelity production requires specialist creative QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One approved avatar set and licensed voice model; final sales claims and compliance checks remain human.

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 500-2,500 fixed pilot for one defined avatar package. Offer a monthly conversation allowance after repeat demand. Quote complex integrations or custom avatar production separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed avatar conversations and rep 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

Reduce tool sprawl while keeping sales conversations grounded and measurable. Demonstrate a concrete reviewed avatar conversations and rep coaching reports using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Sales teams and revenue operations leaders professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewed avatar conversations and rep coaching reports from a small authorized input set, with a transparent calculation of qualified conversations per week and reduction in manual follow-up effort and no promised savings.

The first 30 days

1. Week 1: interview five sales teams and revenue operations leaders who need interactive video avatars for lead engagement and rep practice and inspect a recent example of sales teams rent separate tools for live avatar conversations, roleplay practice, outbound calling and post-call analysis, so data and workflow stay fragmented.
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 qualified conversations per week and reduction in manual follow-up effort, 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: Qualified conversations per week and reduction in manual follow-up effort. 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

Qualified conversations per week and reduction in manual follow-up effort; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewed avatar conversations and rep 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 scripts, brand constraints and review examples, together with reliable delivery for a narrow sales niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for sales teams and revenue operations leaders who need interactive video avatars for lead engagement and rep practice. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Beyond Presence: Video Agent Platform, Leonardo Labs, eSelf, Soul Machines, Agentic videos by D-ID, Tough Tongue AI for Sales, Conversational Replicas by Tavus, Happyverse, Avaturn Live and AWSME.ai. Compare this product with the buyer's present method on qualified conversations per week and reduction in manual follow-up effort. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Model inference, video rendering, storage, reviewer hours, client revision rounds and licensed voice assets. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of reviewed avatar conversations and rep coaching reports. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve brand voice, source attribution, claim accuracy and usage permissions. Sales leaders approve substantive claims and outbound scope. One approved avatar set and licensed voice model; final sales claims and compliance checks remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.