Product and service guidance
Answer questions using approved product information, explain important differences and link customers to the relevant page.
Better conversations.
A clearer next step.
Help customers find an answer, understand your services and reach the right person. We build AI chatbots around your actual information and customer journeys, with a straightforward handover when the conversation needs your team.
Plan your customer assistant- Approved business information
- Useful enquiry handovers
- Clear limits and escalation
Your customers need help, not another obstacle.
A chat window is only useful if it helps someone complete a task. We start with the questions your team receives, the information customers struggle to find and the situations that need personal attention. An existing support platform may already cover the requirement; custom development should earn its place.
For a custom assistant, we agree its content, tone, supported journeys and escalation rules. We test what it does with ambiguous questions, outdated information and requests outside its scope. A visible route to a person remains part of the experience.
Make the conversation useful for both sides.
Enquiry qualification
Collect the minimum useful details for a quote or consultation, then prepare a structured handover to the right team.
Customer support triage
Identify the type of request, offer approved guidance and escalate account-specific or unresolved issues with conversation context.
Authenticated account help
Where suitable APIs and identity checks exist, retrieve permitted order or booking information without exposing another customer’s records.
An enquiry your team can act on.
The starting point
A customer sends “Can you help?” and waits while your team gathers the service, location and requirements over several emails.
A better way forward
An assistant answers the initial service question and asks relevant follow-ups. With the customer’s chosen contact details, the agreed integration creates a clear enquiry for review.
- 1
Understand
Clarify the customer’s request without collecting unnecessary information.
- 2
Answer
Use approved sources and link to useful supporting content.
- 3
Hand over
Transfer the question and collected details through an agreed, tested route.
An illustrative engagement. We agree the actual scope, access and success measures with your business.
Something useful.
Yours to put to work.
The engagement has a clear scope and a tangible handover. We agree the deliverables before work starts.
Discuss the scopeA conversation and content plan
Supported questions, excluded topics, source ownership and the escalation journey.
An accessible chat interface
An interface for the agreed channel, with keyboard support, understandable states and a visible alternative contact route.
Connected enquiry handling
The scoped inbox, helpdesk or CRM connection, with validation and failure handling.
A launch and review pack
An evaluation set, operating instructions, content update process and agreed quality measures.
How we work with you.
Map the questions
Review representative enquiries and define successful customer outcomes.
Design the journey
Agree the answer sources, follow-ups and route to a person.
Test the assistant
Check difficult conversations, accessibility, source accuracy and integration failures.
Improve with evidence
Review unresolved questions and update the content and journeys that need attention.
A few things
you might be wondering.
Questions about your own setup?
Let’s talk it through
Do we need a custom chatbot or an existing product?
We compare both. An existing product can be sufficient for a standard help centre. A custom build may be useful when you need a particular customer journey, unusual integration, specific access controls or an interface inside your own product.
Will the chatbot invent answers?
Language models can produce incorrect statements. We reduce that risk through scoped content, retrieval, evaluation and escalation rules, then monitor actual conversations. We do not promise that grounding or citations eliminate every error.
Can it create leads in our CRM?
Yes, where a supported integration is available and included in the scope. We agree required fields, validation, duplicate handling and what the customer is told about the handover. A chat interface alone does not establish a working CRM connection.
Can it handle refunds or change bookings?
Those actions need appropriate authentication, permissions and business rules. A sensible first version may prepare a request for your team. Any direct action is separately scoped and tested, including approval and failure behaviour.
Can the chatbot go on our existing website?
We check the website platform, available integration points and accessibility requirements. The aim is to fit the assistant into your customer journey; replacing the whole website is not a prerequisite.
How much does AI chatbot development cost?
Content preparation, channel requirements, systems integration, authentication, testing and ongoing usage determine the scope. We explain the implementation cost and recurring services separately before you decide.
A little clarity before the next step.
Give your next customer a better first conversation.
Tell us what you’re working on. We’ll help you find a practical next step.
Plan your customer assistant