Quality & Operational Performance at Scale
Powering Up
A quality battery reboot
- Client
- A rapidly growing EV startup
- Sector
- Automotive
The challenge
Battery assembly lines and prototype builds were not meeting the quality standard required to scale, against tight timelines and rising complexity. Without a quality operating system, each defect was investigated as an incident rather than as a signal.
What we did
- Assembled a cross-functional task force to overhaul battery production quality.
- Introduced detailed control plans, inspection protocols, and station-level quality tooling.
- Applied advanced analytics and updated DFMEAs and PFMEAs against real failure data.
- Built a skilled inspection team and a continuous improvement feedback loop.
“Envorso improved our processes and gave our team the confidence and systems to build world-class EV batteries from day one.”
The practice behind this
Quality & Operational Performance at Scale
Connecting design, manufacturing and supply chain data into decisions — eliminating defects, modernizing the systems that hide them, and building engineering discipline that holds.
Read about this practiceWhere AI fits here
Includes the AI that genuinely pays here — pattern detection across warranty, test and field data — and the data quality it depends on, which is the layer most programs skip and then blame the model for.
Related
Similar problems, other organizations.
Automotive
$1.2BBuilt to Deliver, Proven to Transform
Unlocking $1.2B in new business
Delivery dates were missed often enough that customer confidence had become a commercial problem rather than an engineering one. Defects were surfacing in late-stage testing, contractual penalties were being paid annually, and the organization was competing for a major new contract it was not, on its record, credible to win.
A major automotive engineering organizationAutomotive
$20MCode to Component
Powering profits with digital precision
Digital parts content ran on a legacy system that was inefficient, error-prone, and — critically — could not produce an audit trail. That made compliance expensive, scaling impossible, and supplier billing effectively unverifiable.
A global OEMIndustrials
−75%Building a Data-Driven Operating System
Reducing warranty claims by 75%
Warranty failure rates approached 100% during the coverage period. Key dealers were leaving, market confidence was eroding, and there was no instrumentation to explain any of it — no defined KPIs, no warranty analysis process, and therefore no way to tell which failure was worth fixing first.
A motorized equipment manufacturerTwo hours to find out whether we recognise your problem.
No deck, no obligation. We listen, we tell you whether we have seen this before, and we say what we think it would take. If a Jump Start is the right next step we will say so — and if it is not, we will say that too.