From one voice agent to workflow intelligence
Each chapter added one thing customers kept asking for. Put together, they explain how Convophi works today.
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01 Chapter 01 · Voice
It started with one phone call
The first Convophi agent answered a caller who needed to move a delivery, then confirmed the new window by text. Low latency and natural turn-taking came first.
From the archive · Voice transcript
- Caller
- Hi, I need to reschedule my delivery for tomorrow.
- Agent
- Of course, I can move it to 9 to 11am. Shall I confirm?
- Agent
- Done. You’ll get a text confirmation shortly.
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02 Chapter 02 · Omnichannel
Then every channel customers use
WhatsApp, Email and SMS joined Voice in one dashboard. The same agent could pick up a conversation wherever the customer started it.
From the archive · Live quality ticker
- Voice
- 98.2%
- 99.1%
- 97.8%
- SMS
- 99.4%
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03 Chapter 03 · Quality layer
People in the loop
Every conversation was scored for accuracy, compliance and tone. Reviewers graded flagged ones, and their judgment fed back into prompts and scoring.
From the archive · Quality loop
- 01→03
- Simulate · Deploy · Monitor
- 04
- Human review
- 05
- Improve
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04 Chapter 04 · Documents & data
Finishing the job after the conversation
Customers asked for the record to be updated once the call ended. Documents, databases, CRM and ERP became part of the same run.
Run log
- Documents
- ID read, 6 fields extracted
- Database
- Record matched
- CRM
- Status set to verified
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05 Chapter 05 · Now
Workflow intelligence: outcomes, not conversations
Today you set the outcome and Convophi runs the whole workflow across 12 channels and systems, checks the result, and bills only when it’s done.
Run log
- Goal
- Collect overdue payments
- Steps
- Database → SMS → WhatsApp → Voice → ERP
- ✓
- Outcome achieved · ledger updated
