Dedoctive

AI workflows with evidence that people can inspect

Dedoctive is a platform for building AI workflows around curated knowledge and traceable sources. It is intended for organizations where a response must be reviewed and explained, rather than accepted as an unsupported chat answer. Its approach combines knowledge models, structured processes and human input.

The platform targets document-heavy decision work. A team can organize approved information, design how an agent should use it and retain links to the relevant evidence. Suitable evaluators include technical workflow developers, engineering assurance teams and organizations investigating governed internal knowledge applications.

Knowledge models, provenance and structured reasoning

Dedoctive describes indexing documents, tables, images and other information into a knowledge model. Source links are intended to take a reviewer back to the supporting detail, including specific table cells or image regions. That makes provenance a working review tool, rather than simply a list of documents attached to an answer.

The official explainers describe Response Maps for exploring connected information and inspecting analysis. They also explain workflows that combine Business Process Model and Notation, or BPMN, with AI steps. Fixed process stages can define the route through a task while an AI component handles interpretation within that route.

Developer tools and domain applications

The Developer Edition documentation covers designing, running and testing hybrid workflows. Interactive agents can request information through forms during a process. The setup uses Docker and model-provider API keys, so evaluating the environment requires technical preparation and a decision about which external models may receive requests.

Dedoctive also describes domain-specific Navigators. Its Safety Navigator supports human experts reviewing safety arguments, bowtie diagrams and compliance material. Assess that particular application against your documentation and assurance process; it does not make a general chatbot qualified to approve a safety-critical system.

A bounded evaluation workflow

An engineering team could begin with one approved procedure and a small collection of supporting documents. Define a question whose answer is already known to an expert, organize the evidence, and build a workflow that asks for missing context before producing a structured response. Have the expert follow each source link and inspect any unsupported or incomplete reasoning.

Then introduce an outdated document, a contradictory passage and a question the collection cannot answer. This proposed evaluation checks whether the configured workflow exposes uncertainty and requests review. Evidence links help investigation, but the quality, currency and scope of the curated material remain essential.

Licensing, limitations and access

The free Developer Edition is not a general free production license. Its published license restricts use to individual, noncommercial experimentation, research and education. Organizational, commercial and production use require separate licensing; operational and safety-critical use is excluded from that edition.

Dedoctive offers enterprise deployments, partner projects and a free micro-pilot through direct contact. Obtain terms for the intended deployment, data handling and model configuration. The vendor promotes strong reliability claims, but source provenance and workflow controls should be evaluated on your tasks rather than treated as proof that errors cannot occur.