Customer service
AI call summaries and suggested answers
Record or transcribe calls only with a clear notice to the caller and a lawful basis. Let AI turn each call into a short summary with the request, any promise made and the next action, then save it to your CRM or ticket system. Add suggested answers from your approved policies so staff can reply faster. The person on the phone always decides what to say.
Effort:
Medium
Time saved:
Often 3–5 minutes saved per call on notes; verify in a pilot
The problem today
After each call, staff write notes from memory or skip them, so the next colleague asks the customer the same questions again. Large hotel groups, telecoms and insurers already use AI that transcribes calls, writes the summary and shows suggested answers on screen. For a Greek SME the affordable version is a phone or meeting tool with built-in transcription, a fixed summary template and a short list of approved answers.
How it works, in plain words
Picture a colleague who listens in, with the caller's knowledge, and leaves a tidy note the moment you hang up.
What goes in: the call recording or live transcript, made only after a clear notice to the caller, plus your approved policies.
What the AI does: it turns the conversation into text, pulls out who called, what they asked, what was promised and the next step, and finds the policy answers that match the request.
What a person checks: the person who took the call corrects the summary and decides what to say or send. Suggested answers are only suggestions.
What comes out: a short call note saved to your CRM or ticket system, so the next colleague does not ask the customer the same questions again.
Transcripts can mishear names, numbers and Greek-English mixes, so it does not replace a quick human check.
How it could work for businesses like yours
Illustrative examples, not client case studies.
A 30-person car rental company in Chania
In summer, customers call several times about the same booking change, and each agent starts from zero. The company would enable transcription with a recorded notice for booking-change calls only, and save each summary to the customer's booking record. It would aim to reduce repeat calls about the same issue and measure the time agents spend on notes after each call.
A 10-person home appliance e-shop in Ioannina
Callers ask about delivery dates, returns and warranty, and promises made on the phone are often lost. The shop would summarise calls into its helpdesk tickets and show suggested answers drawn from its returns and warranty policy. A realistic first target could be a complete note on most calls, checked by sampling ten summaries a week against the recordings.
An 8-person PR agency in Kifisia
Client calls about press releases and events produce decisions that nobody writes down. The agency would transcribe client calls held in Microsoft Teams, with everyone informed at the start, and save summaries with agreed actions to the client's folder. It would track missed follow-ups and the time account managers spend writing call notes.
How to do it, step by step
Pick one call type to start with, such as booking changes or order questions. Write down what a good call note must contain: who called, what they asked, what you promised, the next step and the deadline.
Check what your phone setup can do. Many cloud phone systems, and Microsoft Teams Phone, offer recording and transcription. If yours does not, start with customer calls you already hold in Teams or Zoom.
Agree the notice before recording anything: a short message at the start of the call and a way to continue without recording. Confirm the wording with your DPO or legal advisor.
Set up a summary template and let AI fill it after each call. Staff read and correct it in under a minute, then save it to the customer record. The same habit works for internal meetings, as in AI for meeting notes and CRM updates.
Add suggested answers from your approved policies and FAQs, for example cancellation or return terms. Staff see them as hints on screen, not as a script to read out.
Review 20 summaries a week during the pilot. Look for missing promises, wrong names and Greek transcription errors caused by accents, noise or mixed Greek and English.
Tools to consider
Microsoft Teams Phone with Copilot: transcribes and summarises calls inside Teams and lists follow-up actions. Caveat: it needs the right licences and admin setup, and recording must be switched on with a notice to callers.
Aircall: cloud phone system with call recording and AI summaries that connects to common CRMs. Caveat: Greek transcription quality varies, so test it on your own calls first.
HubSpot: keeps call notes and AI summaries on the customer record, next to emails and deals. Caveat: the AI call features depend on your plan, and Greek support needs testing.
Otter or Fireflies: transcribe and summarise online calls. Caveat: they suit video calls better than regular phone lines, and their Greek accuracy should be checked.
Data protection and GDPR
Recordings and transcripts are personal data and can include sensitive details such as health needs or complaints. Inform callers before recording and give them a real choice; rules on recording calls are strict in Greece, so confirm your approach. Keep recordings briefly and only the summary longer. Choose providers with a data processing agreement and check whether audio is used to train their models. If you record calls at scale, carry out a DPIA. Avoid features that infer staff emotions: the AI Act bans emotion recognition at work, with narrow exceptions. Check with your DPO or legal advisor.
Mistakes to avoid
Recording calls without telling the caller or offering a way to say no.
Saving AI summaries to the CRM without a staff member reading them first.
Using transcripts to score or monitor individual staff without legal advice.