Think of traditional safety analysis like a paper map; it’s static, hard to read, and quickly becomes out of date. Dedoctive is like a live GPS system. It takes all the raw data (the roads), understands the connections (the routes), and updates in real-time as the situation on the ground changes, always showing you exactly where its information is coming from.

Part 5 of 5

The ultimate test for this technology is creating a Bowtie diagram – the vital tool for mapping complex risks. Traditionally, creating one of these takes “man-months” of expert work because it involves digesting thousands of diverse documents like equipment registries and maintenance records.

Dedoctive transforms this process by:

1. Synthesising all those messy files into one knowledge model.
2. Automating the analysis using that hybrid AI/Flowchart engine.
3. Creating “Dynamic Bowties”: Instead of a static paper report that is out of date the moment it’s printed, you get a living model.

Because Dedoctive is code-free, these workflows can be designed, tested, and deployed in minutes or days rather than weeks. If you change a document—say, you update a safety procedure—the system can immediately show you how that update impacts your entire risk model.

By establishing a code-free feedback loop, Dedoctive can reduce the time it takes to create these complex safety analyses from man-months to mere hours.

By focusing on safety, this blog series has illustrated problems and the Dedoctive solution that are applicable in many other areas:

• Messy organisational data
• Solving puzzles via forensic analysis
• Making agentic AI trustworthy and standardized
• The provenance challenge
• Managing dynamic risk dynamically

To learn more about emerging AI solutions to today’s problems, and about Dedoctive AgenticFlow, watch this space.