Dedoctive

Dedoctive focuses on auditable AI for defensible decisions. It wraps large language models inside transparent, governed workflows so that every output is grounded in trusted evidence, fully traceable to its sources, and open to human review. Instead of acting as a black-box chatbot, it behaves like a cautious analyst that always shows its working.

What is Dedoctive? Dedoctive focuses on auditable AI for defensible decisions. It wraps large language models inside transparent, governed workflows so that every output is grounded in trusted evidence, fully traceable to its sources, and open to human review. Instead of acting as a black-box chatbot, it behaves like a cautious analyst that always shows its working. Key Features: Auditable AI Workflows: Visual BPMN-based workflows combine agentic reasoning steps, deterministic rules, and human-in-the-loop guardrails so teams can design how AI contributes to each decision. Curated Knowledge Models: Answers are restricted to validated, organisation-specific knowledge models, from which Dedoctive obtains responses that align with all GOV. UK data quality dimensions (outputs are always correct, complete, consistent, current, concise, and checkable). Granular Source Provenance: Every claim links back to precise evidence, including table cells or regions inside images, creating source-level provenance for each part of an answer. Developer Edition IDE: A free Developer Edition lets technical users build, debug, and deploy open-standard workflows that can wrap different language models behind the same governance model. Pros High Trust Outputs: The system draws only on verified sources and will say when evidence is missing, which sharply reduces hallucinations.