Lead intake
Can accept enquiries outside office hoursManaged service
Website lead-capture chatbot, managed by FRAI
This is a managed custom software workflow, not a standalone chatbot subscription. FRAI builds or takes control of the software, then manages hosting, monitoring, support, maintenance and improvements. The chatbot collects and qualifies enquiries, then hands approved data to your CRM or team.
Availability
Service target defined in the contractManual handling
Reduced for agreed repetitive steps01 — The constraint
What this solves
Recognize the operational friction before choosing another tool.
- 01
Visitors leaving without sharing their contact details.
- 02
Long or rigid forms that generate high abandonment.
- 03
Low-quality, incomplete or unstructured CRM data.
- 04
Repetitive questions that overload your sales team.
- 05
Lost opportunities outside business hours.
02 — The system
What the managed lead-capture chatbot does
Designed as a maintainable operating capability, not a disconnected feature.
01
Frictionless conversational lead capture
The chatbot asks agreed questions in a conversational flow and collects the contact and project data your team actually needs. It is designed for websites where a rigid form loses context or creates avoidable abandonment.
02
Automatic enrichment and AI lead qualification
Each enquiry can be structured by intent, urgency, budget range and business context using qualification rules agreed with your team. Ambiguous or sensitive requests are handed to a person rather than scored automatically without context.
03
Works inside your systems through custom tools
Approved tools can send enquiries to your CRM, create tickets, notify your team, schedule meetings or validate submitted data. Every action is limited to the systems, permissions and handoff rules defined for the project.
04
Infrastructure fully designed and managed by FRAI
FRAI operates the website chatbot as a managed service: hosting, APIs, permissions, logging, monitoring, backups and maintenance are included within the agreed scope. Availability and recovery targets are defined for the actual business impact.
05
Configured for the agreed workflow and constraints
We adapt tone, questions, qualification criteria, escalation rules and integrations to the sales workflow you already use, with explicit limits for what the chatbot may answer or do.
Service workflow
Related implementation evidence: HI Expats
A FRAI-managed WhatsApp lead-capture workflow for HI Expats provides a measured example of structured intake, qualification, routing and human ownership. It is a related implementation on a different channel, not a forecast for every website chatbot.
- 01
Workflow artifact: reviewed answers → structured data capture → agreed qualification rules → deterministic routing → human advice and policy decisions.
- 02
Across two consecutive 92-day periods, qualified leads increased from 176 to 288 and average manual qualification time fell from 16 to 10 minutes per qualified lead.
- 03
The comparison uses internal CRM dashboard KPIs and is observational, not a controlled experiment; demand, campaigns, seasonality, pricing and staffing may also have influenced the result.
03 — Delivery
How we start your project
A visible sequence from scope to operation, with responsibility clear at every step.
- 01
Click on “Start your project”
Our AI assistant asks you a few quick questions and collects your contact information.
- 02
Meet with a FRAI developer
A developer reviews your workflow, the actions the chatbot must perform and the required integrations.
- 03
You receive a clear, detailed proposal
Includes scope, custom tools, tech stack, integrations, infrastructure and delivery timelines.
- 04
Proposal review
If something needs adjustment, a senior FRAI engineer reviews the workflow and helps refine the project scope.
- 05
Approval and contract
Once everything is aligned, we formalize the agreement and plan your deployment.
- 06
We begin the project
FRAI handles everything: UX writing, conversational flows, tools, integrations, infrastructure, security, QA and launch.
04 — Commercial signal
Expected results
Operating indicators and targets are defined against your baseline, scope, and measurement period.
Lead intake
Availability
Manual handling
Data quality
Infrastructure
05 — Operating fit
Where the service connects and creates value
Integrations and capabilities
Connected systems and capabilities
- 01
CRMs such as HubSpot, Pipedrive, Zoho and Odoo, subject to available APIs and approved permissions
- 02
WhatsApp Business and email automation
- 03
Slack / Microsoft Teams / Telegram
- 04
Google Sheets, Airtable, Baserow
- 05
Calendly and scheduling systems
- 06
APIs, Webhooks, n8n, Make, Zapier
- 07
Knowledge bases and documentation systems
- 08
ERPs and product catalogs
- 09
Internal business systems
- 10
Full infrastructure and orchestration managed by FRAI
Best-fit use cases
- 01
AI-powered lead generation for professional services.
- 02
Automated student acquisition for academies and training centers.
- 03
Complete quote requests generated from the first conversation.
- 04
Managing inquiries outside business hours with AI.
- 05
Pre-qualification before routing leads to the sales team.
- 06
Automated coordination between email, WhatsApp and CRM.
06 — Commercial boundary
Where this service fits — and where it does not
A useful service page should make the buying boundary explicit before a proposal is discussed.
Best fit
- 01
Websites with enough qualified enquiries to justify CRM routing and follow-up automation.
- 02
Teams that need a managed lead-capture chatbot connected to their sales workflow.
Not the right fit
- 01
A generic website chat widget with no CRM handoff or operating owner.
- 02
Businesses without a defined qualification or follow-up process.
07 — Applied contexts
Examples by sector
The same operating logic, adapted to the constraints and decisions of each sector.
Ecommerce
Collect customer data, recommend products, check stock through tools, push qualified leads to the CRM and notify your team in real time.
Academies and training
Answer questions about courses, capture student data, validate availability of your team, schedule meetings automatically and send personalized content to the lead.
Clinics and healthcare
Support non-clinical appointment requests and route them to staff. Symptoms, diagnosis and other health data stay outside the default scope; any sensitive-data workflow requires a lawful purpose, data minimisation, approved access controls and human clinical responsibility.
Real estate
Understand the needs and filter buyers by budget, area and property type; send qualified leads to the CRM; notify the assigned local agent.
Consulting firms
Capture detailed leads (challenge, industry, budget), rank opportunities with AI and automate assignment to the right consultant.
Industry
Collect technical information, classify requests and automatically create support tickets or quote requests.
Auto repair shops
Request vehicle details, issue type and preferred time; automatically create an appointment or preliminary estimate.
08 — Decision support
Comparisons
A practical view of what changes when the service is built around your workflow.
Forms vs managed lead-capture chatbot
- A form follows one fixed sequence; the chatbot can ask approved follow-up questions based on earlier answers.
- A form submits a payload; the managed chatbot can validate and route structured data through agreed integrations.
- A form may still be the better choice for short, predictable enquiries with no qualification workflow.
Basic chatbot vs managed chatbot with tools
- Basic: only responds — With tools: updates records and starts workflows.
- Basic: limited workflow context — With tools: validates permitted data, checks approved systems and applies agreed routing rules, with human review where required.
- Basic: no operational ownership — Managed service: monitored integrations, maintenance and explicit handoff rules.
Intercom / Drift / Tidio vs FRAI
- Intercom chatbot: generic automation — FRAI: custom tools that update records and trigger workflows inside your systems.
- Drift chatbot: limited workflow triggers — FRAI: deep integrations, AI lead qualification and full process automation.
- Tidio / ManyChat: template-based bots — FRAI: AI chatbot for websites tailored to your sales process and business logic.
- Crisp Chat: basic automation — FRAI: advanced conversational lead capture with CRM-ready structured data.
09 — Before we start
Frequently asked questions
Direct answers to the questions that usually determine fit, scope, and responsibility.
01Do I need technical knowledge?+
No. FRAI builds the AI chatbot, custom tools and manages all infrastructure end-to-end.
02Do I need to install or maintain anything?+
No. FRAI handles servers, integrations, security, updates, monitoring and orchestration.
03What are “tools”?+
Custom actions the chatbot can perform: sending data, creating records, checking systems, validating information, scheduling meetings and more.
04Which tools can you build?+
We assess each action against available APIs, authentication and permission boundaries, data quality, failure handling and operational risk. Suitable repetitive steps can be automated within the contracted scope; judgement-heavy, sensitive or unsupported steps remain with a person.
05How is security handled?+
Security is defined for the specific architecture and data involved. The project scope can include least-privilege access, encryption, secret management, logging, retention limits, backups, testing and incident procedures. The final controls, responsibilities and any availability commitment are documented contractually.
06Does it work in multiple languages?+
Yes. Spanish, English, Italian and additional languages.
The operating boundary
Turn suitable website enquiries into structured sales follow-up
FRAI builds and operates a website lead-capture chatbot with agreed qualification, CRM routing, human handoff and clear technical limits.
No generic package. No disconnected pilot. One accountable path from scope to operation.