ABOUT THE EXPLAINERS

Dedoctive provides auditable AI for defensible decisions. It grounds outputs in trusted evidence, provides full source-level provenance, and governs workflows with human-in-the-loop guardrails.

Dedoctive turns documents, data, tables and images into verified, source-linked knowledge, then uses governed workflows with human-in-the-loop guardrails to produce outputs that are transparent, traceable, and reviewable. This makes it especially relevant where decisions may need to be reviewed by colleagues, customers, auditors, regulators, clinicians, engineers, public bodies or governance teams.

We have made some short explainer videos to introduce Dedoctive from different perspectives: a quick introduction, an operational overview, an executive briefing and a developer-focused walkthrough. Together, the videos show how Dedoctive helps organisations move beyond generic AI prompting towards governed, source-linked workflows that can be inspected, challenged, and defended.

The videos below explain how Dedoctive works. For video demos of Dedoctive in action, see Safety Navigator.

Dedoctive is available for enterprise deployments, micro-pilots, and partner-led projects. Bring us one document-heavy decision process where evidence quality, traceability and defensibility matter and we’ll demonstrate the value of Dedoctive in a free micro-pilot. Email hello@collaboration-tools.com to get started.

WATCH THE EXPLAINERS

• First, watch the 90 Second Explainer. Then,
• If you interested primarily in operational deployment, start with the General Explainer.
• If you are evaluating strategic value, risk, governance or return on investment, watch the Executive Explainer.
• If you are assessing technical fit, workflow design, integration or developer capability, watch the Developer Explainer.

1. Dedoctive – 90 Second Explainer

2. Dedoctive – General Explainer

This video gives a concise overview of the problem Dedoctive solves: mission-critical decisions are often buried in complex documents, data, tables, policies and reports, while standard AI tools can produce outputs that are difficult to control or verify.

It explains how Dedoctive combines curated knowledge models, governed workflows and Response Maps to produce timely, trusted and traceable answers. The video also introduces the Dedoctive Navigators – domain-specific products for safety, healthcare, retrofit, place, crisis, wellness and other complex decision areas.

Best for: potential partners, event audiences, and anyone who wants an operational introduction to Dedoctive.

3. Dedoctive – Executive Explainer

This video is designed for senior leaders who need AI to create operational value without weakening governance, compliance or trust. It frames Dedoctive as a way to reduce analysis time from man-months to hours while keeping AI outputs grounded in source evidence and controlled by business rules.

The executive explainer focuses on business outcomes: faster analysis, better use of expert time, reusable institutional knowledge, stronger governance and a practical route to proof of concept using the organisation’s own documents.

Best for: executives, board sponsors, transformation leaders, risk owners, compliance leaders, public-sector decision-makers and senior operational teams.

4. Dedoctive – Developer Explainer

This video is for technical teams who want to understand how Dedoctive works under the hood. It explains how developers can build their own Navigators by indexing documents into a structured Knowledge Model, designing hybrid BPMN and AI workflows in DedoctiveDesigner, deploying workflows as agents, and iterating quickly using Dynamic Debugging.

The developer explainer also introduces Dedoctive’s workflow building blocks, including UserTasks, ScriptTasks, AgentTasks, DocumentAgent calls and MCP tools, showing how technical teams can combine deterministic process control with AI reasoning and full provenance.

Best for: developers, enterprise architects, AI engineers, systems integrators, technical evaluators, innovation teams and CTO/CIO teams.