AI Implementation

We analyze current communication flows: call/email volume, frequent question types, average response time, bottleneck points. We evaluate available data for training: knowledge bases, historical conversations, documentation. We identify use cases with maximum impact: FAQ, scheduling, triage, escalation. We define success metrics: automated resolution rates, customer satisfaction, time saved. We prioritize implementation based on ROI.

We design AI solution architecture: phone assistant with speech recognition and synthesis, email response system with natural language processing, web chatbot with handoff to human agents, automatic triage with intelligent routing, incident detection and response system. We define conversational flows, escalation scenarios, and integrations with existing systems (CRM, ticketing, calendar). We select optimal AI technologies and models for each case.

We build and train AI models on your specific data for maximum accuracy. We implement integrations with existing systems: telephony, email, chat, databases. We configure business rules, validations and safety mechanisms for correct responses. We test extensively with real scenarios and edge cases. We train the system to recognize when to escalate to humans. We set up monitoring and logging for continuous improvement.

We launch gradually with pilot user group for validation: we monitor real-time performance, collect feedback, and adjust quickly. We gradually extend to all channels after validation. We analyze conversations to identify patterns and improvement opportunities. We retrain models monthly with new data. We continuously optimize: response accuracy, response time, transfer rates to agents. We report monthly on savings, customer satisfaction and improvements.