Sourcing decisions determine cost, delivery performance, and operational risk – yet many are made without full context.
Join a free live session of how industrial hardware teams are using AI to cut sourcing costs, make faster and better-informed decisions, and maintain full visibility into every supplier and tradeoff – without adding headcount or giving up control.
Reserve Your Spot
The RFQ Bottleneck
When you’re building one or two systems a year, manual sourcing works.
You know your suppliers.
You track quotes in Excel.
Orders live in inbox threads.
But when volume starts climbing — 10 systems, 20 systems, monthly builds — the process collapses.
More parts.
More suppliers.
More manufacturing methods.
More countries to consider.
More tariff and logistics complexity.
And the same team trying to manage all of it manually.
This isn’t an engineering capability issue.
It’s a workflow issue.
And it’s solvable.
Who This is For
Hardware companies go through predictable sourcing growing pains.
In the early days, engineers handle procurement.
As production scales, complexity compounds – more suppliers, more processes, more risk.
This session is built for teams who:
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Are sourcing prototypes today and want to build a scalable foundation
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Are moving from R&D builds into repeat production – or accelerating production volumes
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Are quoting 5-6 suppliers per part manually
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Are transitioning from CNC to castings, injection molding, or other new processes
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Source tight-tolerance, complex mechanical parts that can’t go to just any vendor
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Need to compare domestic and international suppliers intelligently
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Want more control over sourcing as they scale – not less
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Are looking to introduce AI into their workflow without disrupting how their team works
If sourcing complexity is increasing – or you can see it coming – this session will be directly relevant.
What You’ll Learn
Where Traditional RFQs Start to Break
Why fragmented sourcing – spread across spreadsheets, inbox threads, and disconnected platforms – works early on but becomes unstable as volume and supplier complexity grow.
How Global Volatility Is Changing Hardware Sourcing
Trade uncertainty, shifting tariffs, and supplier disruption are reshaping how parts get built and where they get built.
The companies that adapt fastest will respond with better workflows – not bigger teams.
What AI Actually Changes in Mechanical Sourcing
How AI-driven workflows introduce structure, pattern recognition, and institutional memory – turning reactive sourcing into a repeatable process that compounds knowledge over time.
AI doesn’t replace engineering judgment.
It makes it scalable.
What a Scalable RFQ-to-Delivery Workflow Looks Like
How to structure sourcing so it holds up under:
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Higher production volume
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Assembly-level sourcing
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Multi-country supplier strategies
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Tight inspection and documentation requirements
Without losing visibility or control.
How to Introduce AI Without Disrupting Your Team
Where humans remain in charge.
Where automation removes friction.
How to evolve your workflow without replacing systems or overhauling your organization.
Your Hosts
Ofer Bar-Ner
Experienced COO/CFO in public companies. Expert in scaling operations, compliance, and secure workflows.
Brooke Sugarman
With a background in AI and product innovation, Brooke helps teams turn manual sourcing workflows into fast, automated, data-driven processes.
Reserve Your Spot
Free live session – Thursday, March 26
11 AM PT / 2 PM ET
Built for hardware teams scaling custom mechanical parts.
