Information calls
Product and service information calls.
AI Voice Agents for
Fintech
Give routine calls a clear next step.
Zimozi develops voice agents for fintech enquiry handling and customer service workflows. We connect approved information, service request capture and human transfer with your telephony and business systems.
Document guidance
Onboarding document guidance.
Callback requests
Appointment and callback requests.
WHAT WE BUILD
Voice workflows we build.
Information calls
Product and service information calls.
Document guidance
Onboarding document guidance.
Callback requests
Appointment and callback requests.
After-hours capture
After-hours enquiry capture.
Routing and summaries
Call routing, summaries and CRM updates.
A PRACTICAL FIRST STEP
Start with a defined call type.
The starting point
A voice agent can explain a process, collect a service request or route a caller. We define the supported questions and transfer rules before expanding its role.
How we scope it
Caller authentication is planned separately for any request involving private account information.
Information calls
Product and service information calls.
Design for real speech
People pause, interrupt and provide incomplete answers. We test these situations with the chosen speech models, languages and phone setup. Transfer behaviour and confirmation of important details are part of the call design.
Agree data handling and operating costs
Where recordings or transcripts are used, the scope defines access, retention and required notices. Cost estimates account for call duration, telephony, speech processing and model usage.
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
Design for real speech.
People pause, interrupt and provide incomplete answers. We test these situations with the chosen speech models, languages and phone setup. Transfer behaviour and confirmation of important details are part of the call design.
IN PRACTICE
A practical use case.
Agree data handling and operating costs
The situation
A customer calls after office hours to request help completing an application.
The workflow
The assistant collects the enquiry and preferred callback time, then creates a support task. The caller receives a clear explanation that a request has been logged rather than a promise that the case is resolved.
In context
This example illustrates a potential workflow, not a claimed customer result.
Project scope
Where recordings or transcripts are used, the scope defines access, retention and required notices.
Delivery details
Cost estimates account for call duration, telephony, speech processing and model usage.
Frequently asked questions
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Yes, where supported by the phone system. We define availability and what information accompanies the transfer.
Language support depends on the selected models and requires testing for each agreed language.
Only where authentication, authorisation and explicit action controls are part of the agreed product scope.
YOUR NEXT STEP
Start with the calls your team handles most often
Share your call types, languages and current phone setup. We will help define a practical pilot.
Start a ProjectTell us about
Tell us about
your project.
Share a short brief, or book a time to talk with our team.