If you are looking at Genesys conversational AI, the first question is whether you are running a contact centre or a business that takes a lot of calls and messages. They are different problems. This article does not describe Genesys products or prices. It helps a company of 10 to 250 people work out which problem they have, what to check in a contact-centre suite, and how to handle calls and messages with AI voice and chat agents on the levelpartner.ai platform when a full suite is more than the job needs.
Contact centre or busy front office
A contact centre has agents whose whole job is handling interactions, in queues, measured on handle time and service levels, often with workforce scheduling. Contact-centre suites are built for that world, and they do it well.
A busy front office is different. Five to twenty people answer calls and messages as part of a wider role: they also sell, book, administer and follow up. What they need is fewer interruptions, faster answers and everything recorded where they already work.
If you are not sure which you are, count the people whose job title is about handling interactions. If it is under ten, you are almost certainly the second.
What to check in a contact-centre suite
- Does it hold your client records, or does it connect to a CRM that does?
- How are bookings made in your calendars from a call or chat?
- What does it cost per seat, and do occasional users need a seat?
- How long is implementation, and who carries it out?
- Can your operations manager change the AI's answers, or does it need a specialist?
If the answers point to an integration project and per-seat pricing for staff who handle a few calls a day, the suite is solving a bigger problem than yours.
Before you start on the platform
- Your phone numbers on the platform, or a plan to port them.
- The channels you use for messages: chat, SMS, WhatsApp, social, email.
- The ten most common reasons people call or write.
- The staff or teams who should receive each type of hand-off.
How to set it up
- Go to AI Agents > Voice AI and open Agent List.
- Click + Create Agent, select Create Custom Agent, then Continue.
- Enter an Agent Name, then select a Voice.
- Select a Model and Language, and set the Timezone.
- Write the prompt listing your call reasons and outcomes.
- Configure the Welcome Message and click Save.
- Open Knowledge Base and select the base your chat bot uses.
- Open Actions, click + New Action and select Call Transfer.
- Name it for one team, define its trigger condition and save.
- Repeat for each team, then add Appointment Booking for callers' calendars.
- Open the Deploy tab and select the main number.
- Under Call Routing, choose Answer Calls Directly.
- Save the deployment settings.
Imagine a firm taking 2,500 calls and 1,500 messages a month across eight office staff. A contact-centre suite would add queues and wallboards, but it would also need an integration to the client database and seats for all eight. On the platform, the voice agent would handle routine calls and bookings, the chat agent would answer messages, and staff would see every interaction on the tenant or landlord record. Spread across eight people, that is about 500 interactions each a month: a busy front office, not a contact centre.
What you give up and what you keep
You give up advanced queue management, workforce forecasting and supervisor tools for large teams. You keep a single record of every interaction, bookings without integration, and one licence with unlimited users, so occasional call handlers cost nothing extra. Usage is billed as used.
For a broader view of AI in contact centres, read artificial intelligence call center. For the agent's role on calls, see AI call center agent.
Firms often buy contact-centre software because call volume rose. Volume alone does not make you a contact centre. Check how many people do nothing but handle interactions before you buy tools built for them.
When a suite is the right answer
Choose a contact-centre suite if you have a dedicated team handling interactions all day, need service-level reporting for clients or regulators, or run outbound calling at scale with compliance controls on dialling. Those are contact-centre problems and deserve contact-centre tools. You can still keep the platform as the CRM behind them, but expect integration work to keep the two in step.
Weekly running time
Expect about an hour a week: listening to a few call recordings, reading hand-offs and adding new reasons. Reporting takes ten minutes once the views are saved.
Troubleshooting
Voice and chat agents give different answers. They are using different sources. Point both at one shared knowledge base.
Staff miss hand-offs while on other tasks. Use notifications on the mobile app and assign to teams with a backup.
Call summaries are too long to scan. Put the reason, outcome and next step into custom questions so they land in fields, and read the summary only when those are unclear.
Frequently asked questions
Is Genesys conversational AI comparable to the platform's AI agents?
Both use AI to handle calls and messages. A contact-centre suite is built around queues and specialist agents. The platform is built around the client record, with calls, messages, bookings and payments in one place. Compare them on the problem you actually have.
Can the platform handle high call volume?
It handles the call volume of most mid-sized firms. If you run large queues with dozens of simultaneous agents, test carefully with your peak hour.
Can we move gradually?
Yes. Start with out-of-hours calls and web chat, then extend to daytime calls once routing is proven. The AI receptionist guide covers the out-of-hours pattern.