Deploy AI-powered conversations that understand context, resolve complex queries autonomously, and generate actionable analytics — so every customer interaction drives measurable improvement.
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Connect operational knowledge — SOPs, process docs, escalation playbooks — to a chat interface so teams get instant answers when a process question blocks their work.
Operations teams document their processes carefully — SOPs, escalation playbooks, vendor procedures, compliance checklists. But when a team member needs that information in the middle of executing a task, they can't find it. It's buried in a wiki, spread across multiple docs, or only known by one person. Work stops while they search, ask a colleague, or wait for a reply.
Reaktly ingests operational documentation into IQ knowledge base and exposes it through a chat interface. Team members ask questions in plain language — 'what's the escalation process for a supplier delay?', 'what are the steps for onboarding a new vendor?' — and get precise, sourced answers in seconds. Routing rules ensure that questions outside the AI's knowledge scope reach the right person with context.
Operational teams report faster execution, fewer process errors, and less dependency on specific individuals for institutional knowledge. Onboarding new team members becomes faster because operational knowledge is instantly accessible rather than requiring weeks of shadowing. When process documentation is updated, the knowledge base syncs automatically — so the AI always reflects current procedures, not last year's version.
Deploy AI-powered conversations that understand context, resolve complex queries autonomously, and generate actionable analytics — so every customer interaction drives measurable improvement.
Automatically create FAQ articles and knowledge entries from documents, support tickets, and past conversations — with IQ scoring that identifies gaps and keeps your knowledge base accurate and current.
Best-in-class embedding pipeline, hierarchical chunking, reranking and AI enrichment with source findability scoring — makes internal docs, product feeds and support archives reliably queryable by the chat agent.
Centralize product specs, docs and structured records into a searchable knowledge layer so AI agents answer accurately, stay current, and cite trusted sources.
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Automate customer support with AI agents that resolve routine issues, fetch order data, and route complex cases to humans.
Structure, score, and continuously improve the content your AI depends on — so it answers accurately, cites trusted sources, and gets better over time.