Routine calls consume time, arrive outside office hours and often require the same structured information before anyone can act.
← All work
Working product / capabilityAI-assisted business telephony
Voice AI
A phone conversation that completes real business work.
A Twilio-based voice workflow for answering, qualifying, booking, updating systems and handing over to a person when needed.
TwilioPythonFastAPISpeech-to-textLLMsPostgreSQLWebhooks
A constrained voice system that recognises intent, follows an approved workflow, captures structured details and escalates naturally.
03 / System shape
The useful part is how the components become one workflow.
04 / What this proves
A working example of joined-up engineering.
Voice can be an interface to a controlled workflow rather than an open-ended chatbot.
Human hand-off can be designed as a core path, not a failure.
Calls can end with structured updates rather than another transcript to review.
05 / The engineering
How the system is put together.
- Twilio programmable voice
- Streaming speech and language-model orchestration
- Tool calls into CRM and scheduling systems
- Conversation state, summaries and audit trails
- Human transfer and explicit failure handling
06 / The trade-offs
Deliberate architecture choices.
- Constrain actions instead of allowing an open-ended agent
- Optimise for task completion, not novelty
- Keep humans available for ambiguity, emotion and exceptions
07 / What became possible
The result is working capability.
These are capability outcomes rather than invented client metrics. Commercial measures can be added as the products are deployed and benchmarked.
01
Consistent qualification and information capture
02
A path to 24/7 enquiry handling
03
Structured updates in operational systems
04
Measurable call quality, latency and cost
More working evidence
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