Excedify launches AI-powered APQP software to unify product and process quality planning
Germany - Excedify has released an AI-powered APQP Management Software that pulls Voice of Customer, requirements, BOMs, FMEAs, phases, gates, timelines, teams, and release management into one synchronized system. The goal: stop scattered spreadsheets and disconnected tools from slowing down product teams. If you build for automotive or manufacturing, this puts the full APQP workflow in one place with traceability from concept to launch.
The platform is available now and reflects how APQP is actually executed, not just checked off. It's built for speed of adoption and day-to-day use by engineers, program managers, and quality leads-whether you're a small team or running multi-supplier programs.
Why this matters for product development
Fragmented APQP makes gate reviews hard, introduces risk, and burns time on manual coordination. Excedify connects upstream intent (VOC and requirements) to design and process risk (DFMEA/PFMEA), to timelines, ownership, and releases-so nothing gets lost between meetings.
Everything updates together. Change a requirement, and related risks, controls, timelines, and release readiness reflect it. That means cleaner decision-making, faster cycles, and fewer audit surprises.
What's inside the platform
- Voice of Customer analysis with traceable links to structured requirement lists
- BOM management tied to product and process risks
- DFMEA and PFMEA connected to controls and verification
- Phase and gate management with timelines and ownership
- Team and role management with clear responsibilities
- Release readiness tracking with status visibility across programs
All modules are integrated, so dependencies stay in sync. No more reconciling five versions of truth across tools.
AI that does the grunt work
At the center is an AI engine that scans for gaps and inconsistencies. It flags missing or ambiguous requirements, highlights risk conflicts, suggests FMEA improvements, and calls out readiness issues before launch dates are at risk.
In short, less time herding data-more time making calls that move builds forward.
Different from traditional PLM/QMS
Many PLM and QMS deployments stall because they're heavy and slow to roll out. Excedify's approach is practical and engineer-friendly. It maps to actual APQP execution while keeping compliance and audit needs covered.
It also scales-from a single program to complex supplier networks-without forcing teams into rigid workflows that don't match how they work.
Who benefits
- Product owners and program managers who need one source of truth across gates
- Quality leaders who want complete traceability and audit readiness
- Supplier teams juggling OEM requirements, timing, and risk mitigation
What you can operationalize this quarter
- Centralize VOC and requirements, link them directly to BOM items and FMEAs
- Run DFMEA/PFMEA with live change propagation and AI suggestions
- Stand up a clear gate schedule with owners, inputs, outputs, and criteria
- Define release readiness checklists and automate status signals
- Export end-to-end traceability for audits and customer reviews
Quote
"APQP breaks down when tools are fragmented and teams lose traceability," said Excedify. "We built this platform to connect VOC, requirements, risks, controls, and releases in one system - with AI doing the heavy lifting."
Availability
The APQP Management Software is available immediately, with early access offered to selected automotive and manufacturing partners. Learn more or request access here: Excedify APQP Software. Company site: excedify.com.
Helpful context
If your team wants a refresher on APQP structure and expectations, see the industry reference from AIAG: APQP Overview (AIAG).
Media contact
Company Name: Excedify
Contact Person: Yaser Moharam
Email: Send Email
Phone: 015732038818
Address: Ruttmannsdorfer Str. 21
City: Neustadt b. Coburg
Country: Germany
Website: https://www.excedify.com/
Optional resource for upskilling
Building AI skills across product and quality roles? Explore targeted resources on design-focused AI training: AI Design Courses.
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