Product enquiry assistants
Product information and service enquiry assistants.
AI Chatbot Development for
Fintech
Help customers get answers and reach the right support team.
Zimozi builds chatbots for fintech websites, applications and supported messaging channels. We connect approved product information and design clear handoffs for account-specific or complex requests.
Onboarding guidance
Onboarding guidance and document requirement support.
Support triage
Customer support triage and ticket creation.
WHAT WE BUILD
What we build.
Product enquiry assistants
Product information and service enquiry assistants.
Onboarding guidance
Onboarding guidance and document requirement support.
Support triage
Customer support triage and ticket creation.
Account service assistants
Authenticated account service assistants.
Staff chat interfaces
Internal staff chat interfaces for approved knowledge.
A PRACTICAL FIRST STEP
Answer the questions customers actually ask.
The starting point
Customers may need help understanding an application step, finding a document requirement or reaching the team responsible for a request.
How we scope it
We design the chatbot around those needs and the information your business approves.
Product enquiry assistants
Product information and service enquiry assistants.
Separate public answers from private information
Account information requires authentication and appropriate permissions. We define what the assistant can answer publicly and which requests require a person. It should not improvise financial advice or unsupported product claims.
Evaluate the conversation
Testing covers factual support, ambiguous questions, escalation and attempts to retrieve information outside the user's access. Knowledge updates and conversation review can be included in ongoing support.
From idea to everyday use.
Discover
Understand the users, current process and intended result.
Assess
Review the data, systems, access and review needs.
Develop
Build a focused pilot around the agreed use case.
Deploy
Connect the solution to the workflow and test exceptions.
Evolve
Monitor quality, usage and costs, then improve.
BUILT FOR REAL WORKFLOWS
Separate public answers from private information.
Account information requires authentication and appropriate permissions. We define what the assistant can answer publicly and which requests require a person. It should not improvise financial advice or unsupported product claims.
IN PRACTICE
A practical use case.
Evaluate the conversation
The situation
A customer asks why a document is required during onboarding.
The workflow
The chatbot explains the approved guidance and shows the relevant information. If the question involves an individual case, it offers an authenticated support path and transfers the conversation context.
In context
This example illustrates a potential workflow, not a claimed customer result.
Project scope
Testing covers factual support, ambiguous questions, escalation and attempts to retrieve information outside the user's access.
Delivery details
Knowledge updates and conversation review can be included in ongoing support.
Frequently asked questions
Still have a question?
Can’t find the answer you’re looking for? Send us a message and we’ll get back to you as soon as possible.
Send message
Yes, when the customer is authenticated and the connected system provides the required permission-controlled information.
That depends on the approved business setup and current platform requirements. We assess these before confirming the channel.
That is a different, specialised product requirement. A routine support chatbot is scoped for approved information and service workflows.
YOUR NEXT STEP
Build a chatbot customers can use with confidence
Tell us your main enquiry types and where conversations should go next.
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Tell us about
your project.
Share a short brief, or book a time to talk with our team.