Source-linked website engagement and booking console

For

Small sales and front-desk teams that answer website enquiries and book appointments

Solves

Website visitors wait for answers, enquiries are lost outside office hours, and booking and follow-up sit in separate tools.

Delivers

Source-linked replies, captured leads and booked appointments

Built in

about 4 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

Answer website questions and book appointments around the clock while keeping every reply linked to an approved source.

1. Answer website questions from approved sources at any hour.
2. Hold real-time voice conversations with visitors.
3. Capture and qualify visitor contact details.
4. Book appointments against stated availability rules.
5. Sync leads and bookings to the customer's CRM.
6. Reply in the visitor's language.
7. Deploy through a no-code widget and settings panel.
8. Connect to common website platforms.
9. Train answers on approved website pages and documents.
10. Show conversation, visitor and booking analytics.
11. Match widget appearance and tone to the brand.
12. Engage across chat, email and SMS.
13. Suggest services based on stated visitor intent.
14. Allow a choice of approved AI models.
15. Trigger routine actions from defined rules.
16. Support reseller rebranding under the client's own name.
17. Draft agent replies and summarize interactions.
18. Apply consent, opt-out and rate-limit controls.
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 record of source-linked replies, captured leads and booked appointments with source references and unresolved questions.

Everything these tools do, in one app

• 24/7 AI chat Provides instant automated responses to website visitors at any time.Found in Kotae, Chatsimple, Voxal.AI and 5 more
• Voice chat Enables real-time voice conversations with visitors.Found in Kotae, My AI Front Desk, Frontdesk AI
• Lead capture Collects visitor contact information and qualifies leads automatically.Found in Kotae, Chatsimple, My AI Front Desk and 1 more
• Appointment scheduling Allows visitors to book appointments or meetings directly through the chat.Found in Chatsimple, My AI Front Desk, Frontdesk AI
• CRM integration Connects with customer relationship management systems to sync lead and customer data.Found in Chatsimple, My AI Front Desk, Frontdesk AI
• Multi-language support Communicates with users in multiple languages.Found in Chatsimple
• No-code setup Allows deployment without programming knowledge.Found in Kotae, Voxal.AI, HeyBot and 1 more
• Website platform integration Integrates with popular website builders and platforms like WordPress and Shopify.Found in Kotae, Voxal.AI, Yuma Sales AI
• AI training on content Learns from website content and documents to answer questions accurately.Found in Kotae, HeyBot, Yuma Sales AI
• Analytics dashboard Provides insights into conversations, visitor behavior, and performance metrics.Found in Kotae, Yuma Sales AI, Zoho SalesIQ Nova '25
• Customizable appearance Allows changing the chatbot's look and tone to match brand identity.Found in Kotae, Chatleh
• Multi-channel support Engages users across multiple communication channels like chat, email, and SMS.Found in Kotae, My AI Front Desk, Frontdesk AI and 1 more
• Product recommendations Suggests products or services based on user intent.Found in Voxal.AI
• Multiple AI models Offers a choice of different AI models for flexibility.Found in Voxal.AI
• Workflow automation Automates routine tasks and triggers actions based on predefined rules.Found in My AI Front Desk, Frontdesk AI, Zoho SalesIQ Nova '25
• White label program Allows resellers to rebrand the service as their own.Found in My AI Front Desk
• Generative AI assistance Helps agents draft responses and summarize interactions.Found in Zoho SalesIQ Nova '25
• Compliance controls Includes features like consent handling, opt-outs, and rate limits for regulatory compliance.Found in Frontdesk AI

What goes in, what comes out

The workflow

1. In
   Start with

   Approved website pages, service documents, availability rules and brand settings

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect approved website pages

4. 3

   Service documents

5. 4

   Availability rules and brand settings

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Source-linked replies, captured leads and booked appointments

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate replies and booking actions for the stated task modules. Use deterministic code for arithmetic, schema validation, availability checks, consent rules and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One approved source library and one booking calendar per pilot; final pricing, contractual and clinical statements remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Source library and brand settings, Live conversation console, Lead and booking queue. Use a conversation list with channel and language filters, a large central thread with source citations beside each reply, and a right-hand panel for visitor details, captured fields, availability and escalation. Let reviewers compare draft and approved replies side by side. Display open, awaiting visitor, booked, escalated and closed states. Provide a client-facing widget preview with appearance and tone settings. Make the task-specific outcome source-linked replies, captured leads and booked appointments visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, source versions, conversation transcripts, consent records, approval states, usage allowances, escalation 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

Client-owned website platforms, CRM systems, calendar and email providers, and messaging channels. 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: answer website questions from approved sources at any hour; hold real-time voice conversations with visitors. 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 small sales and front-desk teams that answer website enquiries and book appointments use it to solve "website visitors wait for answers, enquiries are lost outside office hours, and booking and follow-up sit in separate tools"?
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: Answered enquiries per week, booked appointments per answered enquiry and corrections after human review.
4. Measure, then decide. Track answered enquiries per week and booked appointments per answered enquiry and corrections after human review; 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 source library and one booking calendar; final pricing, contractual and clinical statements remain human. Implement one approved input format, a bounded representative case set and the first two task modules: answer website questions from approved sources at any hour; hold real-time voice conversations with visitors. Support the remaining modules with operator review: capture and qualify visitor contact details; book appointments against stated availability rules. 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 source-linked replies, captured leads and booked appointments. Retain the explicit scope boundary: One approved source library and one booking calendar per pilot; final pricing, contractual and clinical statements remain human.

What the build depends on. Widget embed and preview, asynchronous reply jobs, editable conversation history, reviewer access and tested export formats. High-fidelity voice requires specialist QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One approved source library and one booking calendar per pilot; final pricing, contractual and clinical statements 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 300-1,500 fixed pilot for one defined source library and booking calendar. Offer a monthly production allowance after repeat demand. Quote complex voice, multi-language or multi-channel work separately. These are test prices, not market benchmarks. Package the initial sale as one bounded source-linked replies, captured leads and booked appointments workflow. 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

Answer website questions and book appointments around the clock while keeping every reply linked to an approved source. Demonstrate a concrete source-linked replies, captured leads and booked appointments workflow using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Small sales and front-desk teams that answer website enquiries and book appointments professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample source-linked replies, captured leads and booked appointments workflow from a small authorized input set, with a transparent calculation of answered enquiries per week, booked appointments per answered enquiry and corrections after human review and no promised savings.

The first 30 days

1. Week 1: interview five small sales and front-desk teams that answer website enquiries and book appointments and inspect a recent example of website visitors wait for answers, enquiries are lost outside office hours, and booking and follow-up sit in separate tools.
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 answered enquiries per week, booked appointments per answered enquiry and corrections after human review, 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: Answered enquiries per week, booked appointments per answered enquiry and corrections after human review. 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

Answered enquiries per week, booked appointments per answered enquiry and corrections after human review; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs source-linked replies, captured leads and booked appointments. 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 answers, escalation rules 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 small sales and front-desk teams that answer website enquiries and book appointments. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Kotae, Chatsimple, Voxal.AI, My AI Front Desk, HeyBot, Omakase AI, Frontdesk AI, Zoho SalesIQ Nova '25, Chatleh and Yuma Sales AI. Compare this product with the buyer's present method on answered enquiries per week, booked appointments per answered enquiry and corrections after human review. 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 minutes, storage, reviewer hours, client revision rounds and licensed source assets. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of source-linked replies, captured leads and booked appointments. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve visitor consent, source attribution, quotation accuracy and usage permissions. Named owners approve substantive replies and booking scope. One approved source library and one booking calendar per pilot; final pricing, contractual and clinical statements remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.