Enquiries arrive after hours
Interest does not wait for someone to reopen the inbox. The bot handles the repeatable work and preserves cases that need judgement.
01 / 07AI chatbots
AI chatbot development for work that needs to get done
We build assistants connected to your CRM, calendar and real sources so they can handle enquiries, qualify opportunities and complete actions without losing context.
Hi, is the 2021 Hilux from the listing still available?
It is. Would you be paying cash or looking at financing?
Cash, and I have a 2018 Corolla to trade in
Great. I can book a test drive: Tuesday 10:30 or Thursday 15:00.
Tuesday works
Test drive booked
In the team calendar · reminder 24 h before
Handed to Sales with the trade-in already on file
Connected to
- Telegram
- Meta
- WhatsApp, Instagram and web
- Scheduling and lead qualification
- Human handoff with context
It connects to your stack, it does not replace it
We build on what your team already knows. If the platform has an API or webhooks, it integrates; if it does not, we look for the most stable path before proposing a change of tool.
- Telegram
- Meta
- HubSpot
- Google Gemini
And any other platform with a public API.
An SDR that answers, qualifies and books with nobody stepping in
Enquiries arrived through the site form and through campaigns, and the sales team replied by hand whenever they got to them. We built an agent that picks up every enquiry the moment it lands, asks the questions that decide whether there is a project, and leaves the meeting booked.
LED display company · United States
- The enquiry lands
From the site form or a campaign. The agent replies straight away, in the language it was written in, any day and any hour.
- It qualifies with real questions
Screen size, indoor or outdoor use, viewing distance, budget and timing. The same ones a rep would ask on a first call.
- It books in the team calendar
It offers the open slots, confirms the one the client picks and sends the reminder before the call.
- It leaves the record ready
The full conversation, the project details and whatever could be verified about the company are in the CRM before the rep picks it up.
The same mechanics adapt to customer service, technical support or after-sales: the questions and the destination change, the way of working does not.
A chatbot is useful when it completes the job
A fast answer is only the beginning. Value appears when the conversation checks real information, takes an action and records everything the team needs to continue.
Leads arrive unqualified
A name and phone number are not enough. We collect need, budget, timing and source before routing the opportunity.
Handoffs start from zero
When a person steps in, they receive the summary, extracted details and previous attempts. The customer does not repeat everything.
An AI chatbot connected to your operation
Every capability is backed by a specific source and an explicit boundary. Nothing answers from memory when the data lives in another system.
Capability 01
Omnichannel service
One consistent logic across WhatsApp, Instagram and web, including tone, opening hours and escalation criteria.
Capability 02
Opportunity qualification
Asks the necessary questions, detects intent and prioritises according to rules your sales team can inspect.
Capability 03
Real-availability scheduling
Checks the calendar, offers free slots, confirms, reschedules and sends reminders.
Capability 04
CRM record and handoff
Creates or updates the contact and transfers the conversation whenever an exception appears.
From real conversations to a production chatbot
We do not begin with ideal scripts. We study what people ask, what the team needs to solve and where automation must stop.
- Stage 01
Map conversations
We review channels, reasons for contact, current responses and escalation points.
- Stage 02
Connect the sources
CRM, catalogue, calendar, documentation and every data source required for a reliable answer.
- Stage 03
Test in shadow mode
The bot proposes but does not send. We compare its decisions against real cases and adjust the criteria.
- Stage 04
Launch with boundaries
Limited volume, a record of every action, alerts and a clear route to a person.
Scope
What an AI chatbot project includes
The deliverable is not an isolated chat window. It is the complete circuit required to answer, act and learn from every conversation.
Included in the project
- Conversation design and escalation criteria
- Integration with existing channels and systems
- Knowledge sources and response rules
- Conversation, status and ownership dashboard
- Logs, alerts and error handling
- Documentation, training and launch support
What to know before you start
Can an AI chatbot connect to WhatsApp?
Yes. We work with the official WhatsApp Business API and design around its templates, conversation windows and channel permissions.
Can it use information from our CRM?
It can read and update authorised data only. We define fields, actions and limits before granting access to real information.
How do you stop it from inventing answers?
We constrain sources, validate critical facts with deterministic rules and escalate when evidence is insufficient. Every consulted source can also be logged.
How long does implementation take?
It depends on channels and integrations. A bounded first workflow generally takes weeks; discovery fixes scope and timing before the build begins.
Does it replace the service team?
No. It absorbs repetitive enquiries, gathers data and executes predictable steps. Empathy, negotiation and judgement remain with the team.
The next step
Tell us which conversations your team still handles by hand
We review volume, channels and systems. If a chatbot can solve it, we propose a first workflow with a clear scope and clear boundaries.