How Flows AM Is Using AI to Rethink Scheduling - and What Else It Brings to Additive Manufacturing
- Authentise Team
- Dec 18
- 2 min read
Additive manufacturing has never been short on complexity.
Multiple machines.
Different materials.
Qualification and testing steps.
Strict compliance requirements.
And production schedules that change daily.
For a long time, “scheduling” in AM has meant little more than moving jobs around a calendar. But as operations scale, that approach breaks down quickly.
At Authentise, we’ve been taking a different approach with Flows AM - one that treats scheduling as a data-driven, intelligent capability, not just an administrative task.
Scheduling Isn’t a Calendar Problem
In AM, effective scheduling has to understand more than dates and times.
Real scheduling needs to account for:
Machine capacity and availability
Material constraints and reuse cycles
Qualification and testing dependencies
Process rules and compliance steps
Flows AM uses AI-driven, machine-aware scheduling to bring these constraints together. Instead of simply assigning jobs, Flows helps optimise production plans based on the reality of the operation - and adapt when conditions change.
This means schedules that are:
More resilient to disruption
Better aligned with quality and compliance needs
Easier to adjust as production scales
AI That Works Quietly in the Background
One of the challenges with AI in manufacturing is separating substance from buzzwords.
In Flows AM, AI isn’t presented as a flashy add-on. It’s embedded where it matters most: helping teams turn complex, messy data into structured decisions.
For example:
ThreadsDoc automatically turns technical, test, and compliance documents into structured data that can be used throughout the workflow.
Addiguru monitors production data to flag unusual behaviour, helping teams catch potential issues early.
Together, these capabilities support smarter scheduling and better downstream decisions - without adding extra tools or manual work.
An End-to-End, AI-Informed Digital Thread
Scheduling doesn’t exist in isolation.
Flows AM connects planning decisions to the rest of the operation through an AI-informed digital thread, linking:
Order intake
Optimised scheduling
Production execution
Monitoring and quality checks
QA, reporting, and compliance
Because everything sits within a single workflow, teams get better visibility, stronger traceability, and fewer handoffs between disconnected systems.
More Than Scheduling
While scheduling is a core focus, Flows AM supports much more than production planning.
Teams use Flows AM to:
Manage orders and work instructions
Maintain digital parts libraries
Enforce process rules consistently
Monitor production in real time
Generate audit-ready QA and reporting outputs
All of this helps additive manufacturers operate more efficiently - whether they’re producing prototypes, serial parts, or regulated components.
A Practical Approach to AI in Additive Manufacturing
AI in manufacturing doesn’t need to be dramatic to be valuable.
In Flows AM, AI is used to:
Reduce manual effort
Improve decision-making
Support consistency and compliance
Help teams scale without losing control
It’s a practical, grounded approach - focused on solving real operational problems rather than chasing trends.
As additive manufacturing continues to mature, intelligent scheduling and connected workflows will become essential. Flows AM is built with that future in mind.
Learn more about how Flows AM supports intelligent scheduling and end-to-end additive manufacturing workflows - book a demo today.