Transform 2025.2 turns “AI trust” into an operational control with an Accuracy Score that validates document outputs before they feed downstream AI, helping regulated teams defend results with measurable confidence. It pairs that with pre-built Trust Kits and workflow automation (n8n, APIs/MCP) so organizations can deploy high-accuracy, auditable document pipelines faster and with fewer exceptions.
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Adlib’s release positions its new AI-enabled workflow automation as the “last-mile” layer that classifies, extracts, and validates data from complex unstructured documents, turning them into LLM-ready structured outputs and integrating with “bring your own LLM” options (e.g., OpenAI, Gemini, Anthropic) without lock-in. For regulated enterprises, this means less manual handling and fewer errors while producing traceable, audit-ready records that reduce compliance risk and make AI initiatives scale safely.
