Resources
Guides
Practical guides on conversational AI: how to implement speech analytics, build a knowledge base from calls and prepare for AI transformation. Every guide is also available as plain markdown for AI agents.
How to implement speech analytics: a step-by-step guide
Speech analytics starts not with buying an engine but with your call archive. Seven steps — from auditing recordings to automations — that turn conversations into managed data.
Learn moreHow to build a knowledge base from calls: a step-by-step guide
A knowledge base is built not in a text editor but from your own conversations. Six steps — from a call archive to connecting it to automations and voice agents — that turn operator experience into a living document for AI.
Learn moreHow to choose a speech recognition engine for calls
The right STT engine for telephony is chosen not by marketing accuracy but by language, quality on 8 kHz audio, cost per minute and data requirements. Six criteria and how to test them on your own archive.
Learn moreHow to automate call quality assurance
Automating call QA isn't about replacing your supervisor — it's about moving their checklist into AI rules that score 100% of conversations. Five steps: from defining a 'good call' to calibrating with manual reviews.
Learn moreAI readiness checklist for customer service
Before launching a voice bot, check four things: data, processes, people and IT. A practical AI readiness checklist — and the safe first step: analyzing your calls, not deploying a bot.
Learn moreReady to start?
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