GuideLite
Enterprise AI agent platform with governance, guardrails and audit trails.
GuideLite is an enterprise AI agent platform built by Zitrino for organizations that need to build, deploy and govern custom AI agents across multiple channels. It addresses the problems of generic AI tools that lack access to business data, require separate setups per channel, and provide little visibility into agent behavior. The platform combines a visual no-code agent studio with governance controls, allowing teams to create agents without specialized AI expertise while maintaining oversight of what agents do and how they operate.
The platform includes an agent studio for configuring personas, knowledge, tools, model policy and guardrails with live preview; a model gateway covering OpenAI, Anthropic, Gemini, Llama, Mistral and Cohere with routing, fallback and prompt caching; knowledge base and RAG with document ingestion from PDFs, Google Drive, Notion, Confluence and web scraping; ZNYX runtime guardrails that evaluate input, output and tool calls server-side; human approval gates for high-risk actions; an append-only audit trail with tamper detection; trace observability covering retrieval, prompts, models, tools, latency and cost; and FinOps cost tracking by agent, model, project and environment. Agents can be deployed to website widgets, Slack, Microsoft Teams, WhatsApp, Shopify, WordPress and REST APIs, with native integrations including HubSpot, Salesforce, Zendesk, Notion, Google Drive, Confluence and Stripe.
GuideLite is designed for enterprise teams building AI agents in regulated or compliance-sensitive environments, including support, sales and HR use cases. The platform offers a free forever plan with no credit card required, and projects include development, staging and production environments with the option to add up to five custom environments per project. Several enterprise control plane features, including the agent registry, external agent onboarding, credential broker, evaluation framework and promotion gates, are listed as early access.
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