Benjamin Nwandu.Let’s talk
All core areas

Core area

Customer Support.

Answer what is known. Escalate what is not.

An agent that resolves routine support questions from approved material, collects what the next step needs, and escalates cleanly when it should not answer.

Built asENTIN Bank AI Voice Support

A woman working at a laptop while taking a phone call.

01 / What it handles

Inside the scope.

  • Answer routine questions from approved knowledge only.
  • Verify the caller and collect details such as an address or order reference.
  • Log the interaction and its outcome against the record.
  • Hand over with the context already gathered.

02 / Where it hands off

Outside the scope.

  • Anything outside the approved knowledge.
  • Complaints, refunds, and account changes with consequences.
  • A caller who is distressed or asks for a person.

03 / How it gets built

The build order.

Deterministic where it has to be. Conversational only where that adds something.

  1. 01Bound the answerable set, and make "I do not know" a valid outcome.
  2. 02Ground answers in approved source material rather than open generation.
  3. 03Require validation before any action that changes a record.
  4. 04Review real transcripts and turn confirmed failures into regression checks.
Retell AI / Vapin8nClaudeBusiness APIs

04 / The full use case

See it end to end.

The clip above is the shape of the conversation. ENTIN Bank AI Voice Support is the project that builds this out in full.

Explore the project

No recorded demo yet. It will appear here the moment ENTIN Bank AI Voice Support has one — nothing is stubbed in the meantime.

Let’s build something useful

Good conversations.
Better systems.

Have a conversational AI challenge, an automation idea, or a role in mind?