The AI communication layer
for modern enterprises

Talk9 is an AI communication platform for enterprises. In the first phase it enables the rollout of AI phone agents that take and place calls, answer routine questions, capture data, prepare summaries and, when needed, hand off to a human. In the long run Talk9 is evolving into a unified AI communication layer for phone, email, SMS, chat and other channels, connected to existing CRM, ERP, booking, ticketing and contact-center systems.

No. The phone is the first and currently the most developed channel, but Talk9 isn't designed as a one-off phone bot. The platform manages knowledge, rules, workflows, transcripts, summaries, escalations and integrations with business systems. The aim is for the same logic to extend over time to other communication channels.

Yes. Talk9 is built as a modular layer that connects to existing business systems. After a call the agent can create a CRM record, open a ticket, update a status, check an appointment, trigger a workflow or hand structured data over to a back-office system. Rollout can be gradual: a focused pilot first, then deeper integrations as the use case proves its value.

Not necessarily. Talk9 can be introduced in several ways: as a standalone AI agent on a separate number, via call forwarding or as an additional layer alongside your existing telephony or contact-center infrastructure. For larger organizations it usually makes sense to start with a focused pilot that validates the use case before touching the wider infrastructure.

The agent can take a call, understand intent, answer frequent questions, capture data, prepare a summary, route the user, trigger the next step in the process or hand off to a human. It can be used for customer support, appointment booking, confirmations, reminders, status checks, gathering missing information, classifying call reasons and offloading routine work from the contact center.

Every agent operates under predefined rules: what it may say, what topics it must not touch, what data it must collect and when it must hand the conversation to a human. This is especially important in sensitive industries such as healthcare, finance, insurance and the public sector. Talk9 is not designed for uncontrolled automation — it's designed for safe automation of routine interactions with clear escalation paths.

Yes. The agent can use your organization's knowledge: FAQ content, website, internal procedures, documentation, PDF or Word documents, knowledge base or connected systems. The goal is for the agent to answer based on the actual rules, information and processes of your organization — not generic responses.

Yes. Talk9 provides call review in the admin dashboard. Your team can see transcripts, summaries, call reasons, statuses, escalations and conversation history. The phone channel becomes measurable and transparent, and the organization can more easily understand why people call and which processes are good candidates for further automation.

The best approach is gradual. We start by picking a focused, measurable use case — for example frequent questions, booking, status checks, transfers or data capture. We then define the knowledge, rules, escalations and success metrics. A pilot follows, where we measure conversation quality, share of resolved calls, escalations and summary usefulness. Once the use case is validated, we add deeper integrations, additional languages, departments or communication channels.

Yes. Talk9 is already running in real production environments through the specialized solutions Petra and Tanja. Petra is in use at several Slovenian pharmacies, including Lekarna Dobrova, Lekarna San Simon, Lekarna Melisa Škofije, Lekarna Vrščaj Črnomelj and Lekarna Sevnica center. Tanja is in use at OrthoDental, one of the larger orthodontic centers in Slovenia. These cases show that Talk9 isn't just a demo — it's a platform that works in real environments where reliability, local language, clear boundaries and proper escalations matter.