# Stephanie Fels

Stephanie Fels shares practical ideas about digital operations and quality workflows in aerospace manufacturing, including production visibility, traceability, supplier coordination, and using AI alongside existing systems.

- Profile: https://b2binfluencer.marketing/creators/stephanie-fels/
- LinkedIn: https://www.linkedin.com/in/stephanie-fels-8904021a
- LinkedIn followers: 3,614
- Topics: artificial-intelligence
- Based on 16 dated posts, latest 2026-08-22

## Summary

Stephanie Fels is most useful for practical aerospace manufacturing content on digital quality, traceability, supplier coordination, and workflow changes.

- Best for: Brands selling aerospace quality or operations software that need practitioner-focused posts about workflows and traceability.
- Not for: Consumer AI apps wanting broad-reach lifestyle video campaigns or guaranteed general consumer audiences.
- Check first: Confirm their recent post-level results, audience roles and company types, and customer permissions before contacting them.

### Takeaways

- Fix operations with a layer on top of the ERP, not a replacement
- Production visibility is a decision-latency problem, not a dashboard problem
- Non-conformance handling is a governance exposure, not administrative noise

## Main ideas

- **Fix operations with a layer on top of the ERP, not a replacement**: Fels argues that aerospace manufacturers can fix operations without replacing their ERP: they need a smarter layer that captures events from the systems already in place. The method is to diagnose a specific operational cost, start with one workflow, one site or one team, and scale from there. Results are expressed as before-and-after numbers rather than feature descriptions.
- **Production visibility is a decision-latency problem, not a dashboard problem**: Fels distinguishes seeing data from acting on it. When program status runs on email, spreadsheets and stand-ups, manufacturers face decision latency, not a visibility problem. With long lead times and serialized hardware, small unknowns can trigger multi-week recoveries. The post specifies what a shared operating picture must contain and where it typically breaks down in program reviews.
- **Non-conformance handling is a governance exposure, not administrative noise**: Fels argues that aerospace non-conformance reports intersect with serialized hardware, long qualification windows, special processes and multi-tier suppliers. A manual workflow that works at low volume becomes a governance exposure as rate, complexity or supplier handoffs increase. The key question is where decisions land, not whether non-conformances matter.
- **Supplier coordination across tiers is the recurring weak point**: Supplier readiness, multi-tier handoffs and coordination mechanics appear across several posts. The material treats Tier 1 operational problems and Tier 2 and Tier 3 traceability problems as related but supported by different evidence. Its consistent argument: supplier risk is usually discovered too late, when shortages reach the line.
- **Space manufacturing is being pulled into the same traceability standard**: Fels extends the aerospace quality argument to the space segment. As launch cadence rises, Tier 2 and Tier 3 suppliers feeding the sector still manage part genealogy on spreadsheets, which the post frames as a liability rather than a documentation gap: a single nonconformance can ground a launch vehicle. It says the digital execution infrastructure Tier 1 aerospace OEMs adopted for AS9100 compliance is moving into space manufacturing faster than most quality teams are prepared for.
- **Practical AI means secure deployment, integration and measurable value**: Fels frames AI in manufacturing as past the experimentation stage: the conversation has shifted from what AI is to how it can be deployed securely, integrated with existing systems and made to deliver measurable operational value. The priorities are operational rather than novelty-driven, with compliance as a distinct theme.

## Work to read

- [Aerospace manufacturers don't need to replace their ERP to fix their operations](https://www.linkedin.com/posts/stephanie-fels-8904021a_ai-manufacturing-aerospace-activity-7465794033924218880-uFNP)
- [Real-Time Production Visibility in Aerospace: What It Actually Looks Like](https://www.linkedin.com/posts/stephanie-fels-8904021a_aerospacequality-erp-aerospace-activity-7475637910260568064-jx6z)
- [One missed disposition in a spreadsheet can cascade into weeks of rework, premium freight, and an uncomfortable audit finding](https://www.linkedin.com/posts/stephanie-fels-8904021a_as9100-activity-7467292205418827776-nCEE)
- [One stat keeps coming up in conversations: the space manufacturing supply chain has a traceability problem that's about to get very expensive](https://www.linkedin.com/posts/stephanie-fels-8904021a_spacetechexpo-spacemanufacturing-qualitymanagement-activity-7467714820536958976-WYXC)

## Brand relationships

- **Connect 981** (disclosed_partnership)

## Partnerships

Fels publishes posts promoting Connect 981, an operations and quality workflow product for aerospace manufacturers, using anonymized customer results and meetings at industry events. The posts do not describe other partnership-related activity. They position the product for aerospace quality and operations teams, so brands considering a content partnership or advisory role should expect to negotiate terms directly rather than select from a listed offer. Ask about pricing, deliverables, exclusivity, and approval terms in the first conversation.

## Alternatives

- Nicholas Parton: Choose Parton when a campaign needs a voice from inside a large aerospace manufacturer's digital transformation, rather than from a vendor or consultant. Parton describes building and implementing a production execution tracker fed by SAP. It connects planning, NC programming, manufacturing engineering, order release, material issuance, machining, outside processing, quality inspection, and final inventory in one shared operational picture, and Parton credits it with improving work readiness and machine backlog. A second post describes joining the digital transformation team at Spirit Defense, a Boeing company, as a program subject matter expert, working on digital solutions spanning supply chain, design engineering, manufacturing engineering, stress engineering, and change management. For a workflow software company, that is the buyer's-side view: what an internal sponsor has to align, and how cross-functional adoption—not the tool alone—determines whether change sticks.
- Mike B.: Choose Mike B. when a campaign targets early-stage and defense-tech startups that need the business case for quality systems before scaling, rather than established Tier 1 quality teams. One post argues that a quality management system is infrastructure for scale, not bureaucracy, and backs the claim with named studies: an analysis of 263 SMEs on ISO 9001 practices and operational performance, a study of nearly 1,000 companies on adopters' growth, and two meta-analyses on certification and financial performance. The post also notes growing demand for start-up quality executives at VP and director level. A second post offers career guidance to graduating engineers and recommends aerospace and defense for exposure to how design, manufacturing, quality, supply chain, and operations intersect. The combination suits campaigns persuading founders or newly appointed quality leaders, and addressing the hiring and team-building side of quality adoption.
- Asaf Israelit: Choose Israelit when the campaign focuses on supply chain risk and component availability rather than quality-record workflow. One post describes a memory-chip price surge, saying spot pricing moved from roughly $15 to $120 in about a year. It says Parter's automated risk alerts let hardware companies lock in inventory and change sourcing before the worst of the spike, and claims savings of hundreds of thousands of dollars per customer. A second post announces a partnership between Parter and Cybord, combining live supply chain intelligence with visual AI inspection of components on the line. When the system finds a defect on the line, it alerts procurement to find validated alternatives. For a company pitching ways to predict shortages, allocation pressure, and counterfeit or defective parts before they stop a line, this is a closer thematic match than Fels's quality-traceability posts.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/