Think of traditional safety analysis like a paper map; it’s static, hard to read, and quickly becomes out of date.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 Creating “Dynamic Bowties”: Instead of a static paper report that is out of date the moment it’s printed, you get a living model.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.

Author

Peter Lawrence is a passionate and innovative senior technologist who delivers transformational solutions to strategic technical challenges at enterprise level.

Peter has founded and led several startups as CTO.

At Matrikon, which was acquired by Honeywell, Peter led all software and information technology developments, transforming the software platform from an expensive-to-maintain legacy system to a Lean system focusing on added-value and utilizing third-party technology where possible.

Peter also transformed the development processes from traditional but inefficient waterfall development to Agile methodology.

Before that, as President and founder of Resolution Integration Solutions, Peter led the creation of Resolution, an innovative database model application for the process manufacturing industries.

Other positions Peter has held included Director of Technology at Morrison Knudsen, Vice President at KBC Advanced Technology, Technical Director and founder of KBC Process Automation, and a founder of Process Automation and Computer Systems Ltd.

More information

Email Peter Lawrence: peter.lawrence@dedoctive.ai