The Hidden Cost of Lost Engineering Intent

How engineering decisions disappear and what AI can do about it. A live session with Authentise and ToffeeX.

Duration 45 mins + Q&A

In this webinar, Authentise and ToffeeX explore why engineering intent is becoming the next major bottleneck in digital engineering and how AI agents, continuous intent capture, and generative engineering tools could change the way teams move from idea to execution.

Why this matters

Engineering teams make thousands of decisions across emails, chats, meetings, simulations, and design reviews. Yet many of the most important decisions never make it into systems of record. The result is familiar and expensive:

• Rework caused by decisions that were made but never documented
• Compliance gaps when the rationale disappears between handovers
• Lost knowledge as tribal expertise walks out the door
• Slower iteration because the tool never received the full picture

We’ll discuss why this is not a people problem but a structural problem with how intent flows through engineering organisations. And what AI-enabled workflows can realistically do about it.

What we’ll cover

• Why engineering intent is often lost, even in teams with mature tools and processes
• The hidden cost of tribal knowledge and disconnected systems
• How optimization tools interpret constraints versus what engineers actually mean
• Why requirements documents often fail as the bridge between teams and execution
• The role of AI and agents in translating intent into action
• What the future of engineering workflows could look like

Who this is for

• Engineering leaders tired of compliance gaps, costly rework, and knowledge that walks out the door at handover
• R&D and process managers who want less friction between conversation, requirements, and execution — without adding more process overhead
• Engineers and technical specialists who know that what actually drives a design rarely fits in a parameter field or a requirements spreadsheet