AI phone assistants, deployed custom-built for each client

No generic solution

On each of these projects we started from the client’s real processes rather than a standard script. A medical practice doesn’t handle calls like an engineering firm, a distributor or a technology company: the requests, the business vocabulary, the escalation rules and the internal tools are all different. That’s why each assistant was custom-built and integrated into the company’s existing workflow.

• Built around each client’s business processes.
• Integrated with existing tools (calendar, CRM, database).
• Tone, languages and escalation rules defined with the client.
• Maintained and improved once in production.

They’ve already rolled it out

Four companies, four trades, four different assistants. The same technology foundation, adapted to each operational reality.

• 

  Lavicennes Medical GroupHealthcare · Bulle, Switzerland

  An assistant to smooth out patient call handling and relieve the medical front desk.

  • Patient call triage
  • Appointment booking & confirmation
  • Reminders and fewer no-shows
• 

  DB BATConstruction & building · Paris, France

  An assistant to take in job-site requests and route every call to the right team.

  • Incoming request triage
  • Job-site information and follow-up
  • Hand-off to the right contact
• 

  IntelChainTechnology · Tbilisi, Georgia

  An assistant to qualify incoming requests and provide a first answer before escalation.

  • Incoming request qualification
  • First-level answers
  • Escalation to the right team
• 

  IDA EngineeringEngineering · Houston, USA

  An assistant to screen calls, structure messages and keep case follow-ups on track.

  • Call screening and triage
  • Structured message taking
  • Reminders and case follow-ups

The building blocks we put in place

On these projects we assembled the following capabilities around each client’s needs. An assistant may use just one or combine several within a single call flow.

• Request triage

  The assistant understands the reason for the call, categorises it and routes it to the right team or person.

• Phone callbacks

  Automated reminders and callbacks (appointments, payments, follow-ups) placed at the right time, at scale.

• Information requests

  Instant answers to frequent questions: hours, services, access, order or case status.

• Appointment booking

  Offers, confirms, reschedules or cancels slots while syncing with the client’s calendar.

• Lead qualification

  Collects the key information, qualifies the opportunity and hands it to the right team.

• Hand-off to a human

  Passes the call to the right person with full context whenever a situation calls for it.

• Messages to the right team

  Logs and forwards messages to the relevant team: nothing is lost, everything is tracked.

• Call overflow

  Takes over at peak times and outside hours so the phone never rings out again.

How we delivered these projects

1. 1
   Map the processes

   For each client, we analysed real calls, frequent cases and business rules before writing a single line.

2. 2
   Design the call flow

   Scenarios, tone of voice, languages and escalation rules were defined with the client, then prototyped.

3. 3
   Integrate existing tools

   We connected the assistant to the client’s calendar, CRM or business database.

4. 4
   Ship & improve

   Gradual rollout, monitoring of real conversations and ongoing fine-tuning.