Observe the real workflow
Start with the work quality professionals actually perform, not a generic AI use case.
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ABOUT QAI TRANSFORMATION
Manufacturing knowledge.
AI with boundaries.
QAI Transformation is a UK-based, founder-led manufacturing AI venture. It was created around a simple observation: quality systems contain valuable evidence, but quality teams still spend too much time finding, structuring and explaining it.
BASEDUnited KingdomMARKET FOCUSUK & Ireland manufacturingDELIVERY MODELFounder-led, specialist supportCONTACThello@qaitransformation.com
WHY QAI EXISTS
Quality data should
reduce quality work.
Manufacturers have invested in QMS, ERP and document-control systems. Those systems remain essential—but they do not always connect related events, expose the full cost of recurrence or reduce the preparation burden around CAPA, audits and management review.
QAI adds a controlled intelligence layer around those systems. It does not replace the official record or transfer accountability away from the customer.
Agree the evidence boundary
Define approved sources, named users, prohibited decisions and the authoritative system.
Measure before configuration
Record current effort, event volume, failure cost and lead time before making a value claim.
Scale only after proof
Production is recommended only when the customer-reviewed outcome supports it.
HOW DELIVERY IS LED
One accountable lead.
Specialists when required.
QAI is deliberately lean. Customers know who owns the scope, the governance boundary and the final recommendation.
Q
FOUNDER & QUALITY TRANSFORMATION LEAD
Founder-led from discovery to value report
The founder leads customer discovery, quality-workflow mapping, commercial scoping, governance design and value measurement. Where a project requires specialist security, integration, validation or sector expertise, those contributors are named in the scope rather than presented as an anonymous delivery team.
No years of experience, certification or partnership badge is published unless it can be evidenced and is relevant to the buyer’s decision.
OUR PROOF POLICY
Trust grows from
specific evidence.
QAI is early-stage. That should be visible, not disguised. These rules govern what appears on this website and in sales material.
No invented social proof
Customer logos, quotations and case studies appear only with explicit approval.
No implied certification
ISO, AS and IATF references describe customer environments—not QAI certifications.
Models stay labelled
Illustrative calculations remain separate from observed or customer-verified results.
Limitations stay visible
Every pilot defines excluded decisions, data boundaries and conditions for scaling.
Current evidence status
QAI is building its first customer-approved evidence base. Anonymised before-and-after measures will be published only when the customer has approved the methodology and disclosure. Until then, representative scenarios are clearly marked as illustrative.
Judge the method
before the company size.
Use a free Quality Value Call to test whether the scope, evidence standard and governance approach are strong enough for your operation.