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Telecoms

A diagnosis in the right order, before sending a technician who would have nothing to fix.

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The business challenge

Useless interventions

A technician sent for an already known area outage is costly and frustrating.

Usage questions

Remaining data, plan, renewal: a high volume of simple requests.

A diagnosis path poorly followed

Skipping the line, zone, box steps wastes everyone's time.

What the agent does

  • Area outage check before any intervention.
  • Technician scheduling after explicit agreement and a confirmed address.
  • Usage, plan and intervention follow-up after identity verification.

Connected systems : Network monitoring, fibre eligibility, provisioning and CRM through connectors.

Verified commitments

Each commitment matches a scenario in the agent template's test suite. 12 test scenarios.

  • Never guesses the line number: it asks.
  • Known area outage: no technician is sent.
  • A technician is scheduled only with the customer's agreement and address.
  • Usage and intervention status quoted as the systems return them.
  • No usage disclosed without verified identity.

From technical rigour to business outcome

What we guarantee

Area status is checked before any action.

What it changes for you

Fewer avoidable interventions and technicians kept for real faults.

What we guarantee

No action without the customer's explicit agreement.

What it changes for you

A calmer relationship: the customer stays in control of actions concerning them.

Measured results

The sector's demo agent. Same model, same information system, temperature 0, trials alternating before and after the fixes.

Reference scenarios

12 scenarios, the ones the agent was tuned on.

Pass rate

Original state · 2 trials79.2 %
After optimisation · 2 trials83.3 %

Security

Original state66.7 %
After optimisation100 %

What these figures say, and do not say

  • Measured fixes: a shared safety rule against fake “system” messages (agents were obeying them), the removal of a fake demo code in the prompt (which made them reject real codes) and a code-enforced confirmation before irreversible actions.
  • These results are on the scenarios used to tune the agent. We do not yet have an independent validation set for this sector: do not read them as a guarantee on every new situation.

Business study: size it with your assumptions

An estimate, not a promise: starting values are examples. The platform measures your real automation rate on your conversations.

Excludes platform and setup costs. Contacts handed over to a human remain at your cost.

Contacts handled by the agent
17,500
Gross saving per month
21,000,000 FCFA
Gross saving per year
252,000,000 FCFA

Let's see what it does on your business

Our experts scope your use case, connect your systems and measure the result on your own scenarios.

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