A Hinglish Voice Agent That Handles Borrower Follow-Up
A working proof of concept for Embifi that automates the first layer of outbound customer conversations over the phone, in natural Hinglish — freeing human agents for judgment calls, negotiation, and exceptions.
Routine calls were crowding out the conversations that actually need a human
Initial outreach, basic qualification, reminders and routine questions crowded out higher-value human conversations. Call notes were inconsistent, follow-up was slow, Hindi-English code-switching was poorly served, and calls that needed a person did not always reach one with context.
Want This Level of Voice Automation for Your Team?
We'll scope a pilot around your exact outbound workflow — lead qualification, collections follow-up, or renewal reminders — with clear success metrics before any production commitment.
A reusable outbound-engagement foundation
A voice agent that places an outbound call, holds a natural Hinglish conversation, saves the full transcript and a structured outcome, and flags calls that need a human — for lead qualification and borrower follow-up.
Place the call
The agent dials out through the configured telephony / SIP connection.
Understand the reply
Speech-to-text converts the customer's response, built for Hindi-English code-switching.
Generate the next response
The conversation model uses current context to decide what to say next.
Speak back naturally
Text-to-speech plays the generated response back on the live call.
Save for review
The full transcript and a structured outcome are saved for follow-up or escalation.
Human in the loop
The agent handles initial outreach, basic qualification, reminders and routine questions. A human takes over judgment calls, negotiation, exception handling and customer support — with the saved transcript and outcome as context.
Expected value
More operational capacity, more consistent call data, a clearer follow-up queue, more accessible conversations, and a reviewable audit and coaching trail.
How a pilot is measured
- Reach: connection rate, response rate, completed conversations, opt-out rate
- Effectiveness: qualified leads or valid next steps per connected call, correct handoff rate, outcome-field accuracy
- Experience and cost: latency, hang-up rate, call duration, cost per connected conversation and per successful outcome
No measured uplift in conversion or collections is reported yet — these are the metrics a pilot is designed to validate.
Rollout path
- 1Confirm the use case
- 2Connect Embifi-owned accounts and test
- 3Validate end to end
- 4Run a limited pilot
- 5Expand gradually
An engineering team that ships pilots, not slide decks
AWS Advanced Tier Partner
Certified cloud and AI delivery, so your voice agent runs on infrastructure built to AWS Well-Architected standards from day one.
Pilot-first engagement
We scope, build and validate against real call data before you commit to a production rollout — exactly like Embifi's PoC.
Human-in-the-loop by default
Every agent we build hands off judgment calls, negotiation and exceptions to your team, with full conversation context.
Production-readiness built in
DLT/DND compliance, consent handling, transcript retention and secrets management are part of the build, not an afterthought.
Trusted by forward-thinking teams
AWS-Certified Experts Delivering Cloud Excellence.
More Fintech AI Solutions
Want a Voice AI Agent for
Your Lending Workflow?
Tell us about your outreach, qualification, or follow-up bottleneck — we'll help you scope a pilot with clear, measurable success criteria before any production commitment.