Website support assistants
Give visitors a conversational way to explore your services, product documentation and common questions.
OUR EXPERTISE
Custom AI assistants that help customers find answers, understand your product and reach the right next step.
BUILT AROUND YOUR PRIORITIES
An assistant should do more than repeat a welcome message. We build conversational experiences around the questions your customers ask and the actions your team can support.
Start with one useful workflow: product discovery, documentation help, support triage or enquiry qualification. Then connect the knowledge and systems needed to make that experience dependable.
Our chatbot work includes WhoisExtractor and True Mailer. Explore the project examples below, then talk to us about the conversations that matter to your business.
We agree the data the assistant can access, what it should decline, and when it should hand over. Branding, mobile usability, keyboard access and understandable loading and error states are part of the experience.
A PRACTICAL SCOPE
We shape the final scope around your priorities, constraints and existing systems.
Give visitors a conversational way to explore your services, product documentation and common questions.
Connect approved content, define what the assistant can answer and make uncertainty visible instead of guessing.
Collect the details your team needs, with clear consent and a useful handover into your sales workflow.
Where appropriate, connect authenticated APIs for account-aware assistance. Scope access separately from public product questions.
Give people a clear route to your support team when a question needs judgment or the assistant cannot help.
Test realistic conversations, edge cases and retrieval quality before launch; agree how content and behaviour will be maintained.
THE WORK BEHIND THE WORDS

AI & Machine Learning
A website chatbot built for WhoisExtractor, bringing a conversational assistance experience to its domain-data platform.

AI & Machine Learning
A custom website chatbot for True Mailer, alongside its cloud workspace and desktop email-sending product.
FROM DISCOVERY TO DELIVERY
Scope and timing are agreed after discovery, with reviews throughout delivery.
Identify your audience, frequent questions, conversion goals and the moments when a person should take over.
Review source material, ownership, permissions and update frequency. Resolve gaps before connecting it to the assistant.
Design the chat interface, retrieval flow, integrations and accessible states around your brand and users.
Review answers against a representative test set, test failure paths, then release with an agreed monitoring and maintenance plan.
ENGINEERING CHOICES
The final stack follows your requirements. Explore the capabilities behind these options.
BEFORE WE BUILD
Yes. We can scope a knowledge layer around approved pages, documents or APIs. Source quality, updates and access rules are part of discovery.
We can connect supported APIs and define the fields and handover workflow with your team. We agree consent, permissions and failure handling before building the integration.
No AI system can guarantee every answer. We design for grounded responses, clear limits, evaluation and human escalation rather than promise perfect accuracy.
Channels, knowledge sources, integrations, model choice, expected usage and support requirements determine scope. Tell us about your workflow for a tailored quotation.
LET’S BUILD SOMETHING USEFUL
Tell us what you want to achieve with ai chatbots & assistants. We’ll help clarify the scope and a practical way forward.