From legacy drag to operational grip
We do our best work with operational leaders in product-based organisations who know their product systems are holding the business back - and are ready to fix the foundations properly.
We don’t sell services at Delta PLM, but we do understand your problems.
We solve the problems your systems were supposed to fix - but didn’t.
“We bought PLM to fix our processes… but our processes are still a mess”
Problem statement…
PLM didn’t fix anything - it just digitised chaos.
Engineering change is still slow, approvals still bounce around, and nobody trusts the data.
Why this is happening?
Companies implement PLM before they’ve agreed how they actually want to work.
So the system becomes a mirror of bad habits instead of a correction mechanism.
What most consultancies miss…
They configure workflows based on “what you do today” instead of forcing hard decisions on what should happen.
What Delta PLM would do differently…
Start by breaking down your current process.
Define a minimal, enforceable change flow.
Then build PLM around that, not your legacy dysfunction.
“Our BOM is in PLM… ERP… Excel… and none of them match”
Problem statement…
There is no single source of truth!
Engineering, manufacturing, and supply chain are all working off different versions of the product.
Why this is happening?
PLM owns the EBOM.
ERP probably owns the MBOM.
Nobody owns the reconciliation.
Integration gets treated like a technical problem instead of an ownership problem.
What most consultancies miss…
They focus on syncing systems instead of defining who is accountable for what data and when it becomes authoritative.
What Delta PLM would do differently…
Define BOM ownership rules first…
When does EBOM become frozen?
Who creates MBOM?
What triggers transfer?
Then implement integration to enforce those rules - not “keep systems aligned.”
“Engineering change takes forever… so people bypass it”
Problem statement…
Formal change processes are so slow and painful that engineers just work around them - email, side conversations, undocumented updates.
Why this is happening?
Over-engineered workflows. Too many approvals. No distinction between high-risk and low-risk changes.
What most consultancies miss…
They assume more control = better governance. In reality, it kills throughput and drives shadow processes.
What Delta PLM would do differently…
Strip change down to:
Fast path (low risk, minimal approvals)
Controlled path (real impact)
If everything is “critical,” nothing is.
“We implemented PLM… and adoption is terrible”
Problem statement…
Engineers avoid PLM unless they’re forced. Data is late, incomplete, or wrong because the system feels like a tax on real work.
Why this is happening?
There’s a mismatch between how people actually work and how PLM expects them to work.
Not just tooling - habits, incentives, team structure, even ego.
What most consultancies miss…
They pick a side…
Either “fix the people” (training, governance, policing)
Or “fix the system” (UX, automation)
Reality is both - and neither works in isolation.
What Delta PLM would do differently…
Accept this upfront: you’re redesigning behaviour, not just implementing software.
Understand how people actually work (not the documented process)
Be explicit about where behaviour must change vs where PLM must adapt
Enforce only what truly matters; relax the rest
And make the trade-off clear…
You don’t get speed and perfect data.
You choose where to compromise - on purpose.
“We thought PLM would integrate everything… it didn’t”
Problem statement…
PLM was sold as the backbone connecting CAD, ERP, MES, suppliers, etc. In reality, integration is fragile, incomplete, or abandoned.
Why this is happening?
Integration is treated as a one-time project instead of an ongoing operational responsibility. Plus, data models between systems never 100% align.
What most consultancies miss…
They underestimate semantic mismatch:
Part vs item vs material
Revision vs version
Released vs approved
So integrations technically work… but the data is still wrong.
What Delta PLM would do differently…
Treat integration as a product:
Define canonical data model
Map business meaning, not just fields
Assign ownership for data quality
If definitions don’t match, no amount of middleware will save you.
Assess your PLM Alignment.
Identify where your product foundations are holding you back.