Think of traditional safety analysis like a paper map; it’s static, hard to read, and quickly becomes out of date.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 3 of 5

In the past, business processes were usually built one of two ways:

• Deterministic: A rigid flowchart where every step is pre-planned. It’s reliable but can’t handle surprises.
• Agentic: An AI “agent” that figures things out as it goes. It’s flexible but unpredictable.

Dedoctive uses a unique hybrid workflow that combines the industry-standard Business Process Modeling and Notation technique with judicious invocation of AI agents.

For example, a Bowtie diagram is a graphic tool used to manage risk. It shows the threats that may lead to a hazardous event, the consequences if the event occurs, the mechanisms that can be used to block the threats and mitigate the consequences, and the factors that may impede those mechanisms. The process of creating a Bowtie diagram is well documented, but it takes a long time for someone to achieve mastery of the process – and even an expert individual will take a long time to construct each Bowtie.

In Dedoctive, we break the overall Bowtie work process into multiple steps, automating the entire process with agentic invocation of AI as and when required.

Dedoctive workflow gives you the predictability and auditability of a traditional process with the adaptive intelligence of AI.

One of the cleverest features of the Dedoctive approach is that workflows are interactive. If the AI is performing a task and realises it’s missing a piece of information, it will pause the workflow and send a custom digital form to a human user to fill in the gaps.

To learn more about how Dedoctive uses a combination of deterministic and agentic techniques to give you the best of both worlds, continue following this blog series.

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