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As a coworkers.ai partner, you will often encounter the question: “This all sounds great, but where do we start?” The answer is surprisingly simple, yet many companies get it wrong. The first use case shouldn't be what looks best on paper, but what brings the client immediate relief where it hurts the most.
The temptation to deploy an AI assistant as quickly as possible is high. However, practical experience is clear: the best first step is mapping the current state. At coworkers.ai, we believe data is more valuable than assumptions. That’s why we offer our partners and their clients a free, in-depth analysis of their customer communication.
Why is this your strongest sales argument as a partner?
Once we have the data, choosing the first tool becomes a logical step. We recommend the channel that shows the highest error rate, has the longest waiting times, or is simply the most utilized as the first use case.
If the analysis shows that customers are bombarding the website with simple queries, a chatbot is the clear choice. It works 24/7, responds instantly, and can handle hundreds of conversations at once without losing patience. It can resolve both simple and complex queries, provide order status updates, and pull information from internal systems or knowledge bases. In the e-commerce segment, it is usually the ideal first step. For example, in the Slovak online pharmacy etabletka, the chatbot handles 90% of all patient inquiries.
Many clients struggle with seasonal peaks or overloaded helplines. A voicebot can authenticate the customer in the first step, determine their intent, and either resolve the issue completely or hand them over to a live operator fully prepared. The result? An end to endless hold music and frustrated customers.You can use a voicebot for inbound lines, but also as an outbound lead-generation partner. You can read [here] how it replaced cold calling at GFS Group.
For many companies, the email inbox is a "black hole" where hundreds of queries, complaints, invoices, and orders end up every day. This is where the mailbot, with its integrated LLM module, shines—it truly understands the content of the messages. This assistant isn’t just an auto-responder; it can independently read attachments in various digital formats and extract key data, such as invoice details or order forms. It then automatically categorizes and prioritizes the information and can save it directly into a CRM or ERP system via API.Our cooperation with the logistics network Packeta proves that this technology works on a massive scale, helping them effectively manage the surge in communication and speed up client request processing.
The goal of the first project within our partner program isn’t just to sell software. It’s about building trust. When you show a client through a free analysis that AI can reduce communication costs by up to 30%, you gain a partner for years to come.
