NEXA AI · Contact centre co-pilot
Customer service that speaks your customer’s language.
NEXA AI helps contact centre agents understand what a customer needs, find the approved answer and reply faster, in English, Pidgin, Yoruba, Igbo and Hausa, alongside the systems you already run.
Currently at MVP stage and preparing controlled pilots with financial institutions.
Customer · Yoruba
Ẹ ku àárọ̀, mo fẹ́ ṣàyẹ̀wò iye owó tó kù nínú account mi.
Good morning, I'd like to check my account balance.
Approved policy
Customer verification. Confirm the caller's identity with two security questions before disclosing an account balance.
Suggested reply
Good morning. Before I share your balance, I'll need to confirm your identity with two quick security questions. May I ask the first one?
Awaiting agent review
Language goals
Built for how Nigeria speaks.
Customers move between languages, sometimes mid-sentence. NEXA AI is being built to follow, so language is never the reason for a slower or worse answer.
- Good morningEnglish
- How you dey?Pidgin
- Ẹ kú àárọ̀Yoruba
- Ụtụtụ ọmaIgbo
- Barka da safiyaHausa
Language support is a development goal. Quality is tested before any real customer data is used.
The problem
The right answer exists. The agent just can’t reach it in time.
- 01
Long resolution times
Agents flip between systems and documents mid-call while the customer waits, and the same enquiries arrive again and again.
- 02
Language barriers
Customers speak Yoruba, Igbo, Hausa or Pidgin. Tools, scripts and quality checks assume English.
- 03
Inconsistent responses
Two agents, two answers. Without one approved source, the quality of an answer depends on who picks up.
- 04
Hidden customer sentiment
Recurring complaints and rising frustration are hard to see until they turn into escalations.
How it works
A co-pilot that suggests. The agent decides.
NEXA AI keeps a human in control of every customer-facing response and every sensitive action.
- 01
Customer enquiry
A customer enquiry comes in, in whichever language they are most comfortable with.
- 02
Intent and context
NEXA AI identifies what the customer likely needs and brings up the relevant customer and case information.
- 03
Approved policy retrieval
It finds the relevant answer in your institution’s approved policies and knowledge.
- 04
Suggested response
A draft reply is generated from that approved material, so it stays accurate and consistent.
- 05
Human review
The agent reads, edits and approves the response before the customer sees it.
- 06
Audit trail
The case is updated, and the interaction and its outcome are recorded.
Capabilities
What NEXA AI does.
AI agent co-pilot
Context-aware response suggestions for human agents to review, edit and approve.
Multilingual intelligence
Built to support customer interactions across English, Nigerian Pidgin, Yoruba, Igbo and Hausa.
Policy-grounded responses
Suggestions come from approved institutional knowledge, which reduces inaccurate answers.
Interaction intelligence
Analyse customer intent, sentiment and recurring issues across interactions.
Customer context
Relevant customer and case information, surfaced alongside the conversation.
Integration layer
Designed to connect with your existing CRM and contact centre platforms, without replacing core banking infrastructure.
Insights
Perspective from the NexaVoice team.
Fintech ·
AI in African Fintech: Closing the Multilingual Customer Support Gap
Compliance ·
Reducing Handle Time Without Cutting Corners on Data Protection
Engineering ·
Legacy Systems vs. Middleware: Deploying AI Without Rip-and-Replace
Security ·
The Future of Voice Biometrics in Nigerian Banking Security
See how NEXA AI fits your contact centre.
For banks, microfinance banks and fintechs. Book a walkthrough, and your agents stay in control of every response.
Book a demo