Use case 1: service and sales agents
Guide every agent while the call is live
For agent platforms, contact centers and BPOs
- Before launchTest against tough callers
- During the callKnow when to offer or hand over
- After the callSpot churn patterns early
Live call: claim after a breakdown
IllustrationCustomer: So when does someone actually come?
Agent: Let me take a few more details first.
PokaMind guidance
Third time asking. Offer a human callback now.
Pre-launch scores
- Cooperative84
- Hurried72
- Firmly resistant46
What a transcript misses
Read between the lines
of every conversation
What your LLM gets
“So when does someone actually come?”
Sentiment: neutralWhat PokaMind adds
“So when does someone actually come?”
- Pace speeding up
- Turns getting shorter
- Third time asking
Guidance: offer a human callback now.
How PokaMind plugs in
One layer next to the AI
you already run
What goes in
- Each live interaction
- Playbooks and offers
- The account’s history
- Tone of voice
- Pace
- Body language
- Words
Observable signals only
What comes out
- Satisfaction on every conversation
- Understanding, not just answers
- The right moment to step in
- Trust and loyalty over time
One engine across the loop
Before, during and after
every interaction
- Cooperative
- Hurried
- Firmly resistant
Test before launch
- Turning pointHand over now
Guide it live
- Earlier interactionsChurn risk
Learn what wins
Where did your last lost customer turn?
Pick one KPI. We run a sample analysis on your own past interactions, with nothing touching your stack.