Solutions · Manufacturing
Manufacturing operations,
from PPAP to PO.
Project slip surfacing later than the engineer would have liked. Supplier PPAPs landing as 38-page PDFs. Defect chains hopping between SAP QM, ServiceNow, and the supplier reply, losing context at every hop. Quadrazene structures the work and keeps the evidence chain intact.
Today
What we see in the field.
PPAP intake by hand
Tier-1 supplier sends the Level-3 package. Quality engineers eyeball Cpk, gauge R&R, IMDS reference, control plan revision. Some elements get missed; the auditor finds them later.
Project slip surfaces late
Tonnage, milestones, change counts all live in the project-scheduling system, but the model that predicts slip lives on someone's laptop or doesn't exist.
Defect chains hop and lose context
RMA email lands. Quality opens an SAP Q3 notification. IT opens a ServiceNow incident. Procurement emails the supplier. The reply lands in a fifth system. No one row tells the story.
IATF evidence is paper
PFMEA revisions, control plan changes, MSA studies, PPAP elements all live in folders. The auditor asks for traceability between control plan revision and the part that caused the warranty claim.
Supplier scorecards lag
Supplier quality data lives in PDFs. Scorecards get rebuilt by hand at quarterly review, well after the supplier could have corrected the trend.
AI tools want their own perimeter
Every vendor wants to be its own platform with its own IdP, its own audit log, its own copy of the supplier master. None of which procurement is going to approve.
Regulatory context
The frameworks you already operate against.
Quadrazene's policy engine and audit ledger are framework-shaped. The list below is illustrative; specific control mappings are available under NDA.
IATF 16949
Automotive QMS. Sections 7-10 (planning, support, operation, evaluation) align to Recipes + Inbox + Records.
VDA 6.3
Process audit standard. Continuous controls + evidence pack match VDA's question-set evidence requirement.
AIAG core tools
PFMEA, MSA, SPC, PPAP, APQP. PPAP element intake demonstrated in the manufacturing-quality walkthrough.
ISO 9001
QMS baseline. Document control, internal audit, corrective action all mapped.
ITAR / EAR
Where export-controlled data is in scope, restricted-classification routing keeps it on-prem.
Customer-specific (CSR)
OEM CSRs (Ford Q1, GM BIQS, Stellantis SQA) accommodated via tenant-tunable policy sets.
How the four Engines compose
Each Engine does one thing well; together they cover the loop.
Engineers and quality managers ask analytical questions in plain English. Production variance, scrap by cell, OEE trends, supplier defect patterns, all cited and chartable.
Example Skills: Top scrap drivers, cycle-time variance, supplier-defect history, production rate vs plan, FTQ trend.
Forecasts and prioritized recommendations: which projects are most likely to slip, which suppliers are trending into trouble, which assets are due for inspection.
Example Skills: Predict project slip, supplier risk score, asset degradation, demand forecast.
ERP writes, with HITL on the consequential ones. Open a Q3 notification, file a SCAR, post a journal entry, update a control plan revision.
Example Skills: Open QM notification, file SCAR / 8D, post journal, update control plan, notify supplier.
Continuous controls testing instead of sample-based audit. IATF / VDA / customer-specific policies evaluated on every write; findings escalate into tracked Action Items.
Example Skills: PPAP Cpk + MSA check, supplier creation quarantine, control-plan revision audit, SoD on vendor master.
See it on real surfaces
Three walkthroughs that show the manufacturing shape.
PPAP submission to a defensible audit row
Tier-1 supplier emails a PPAP Level-3 package. Intake extracts Cpk and gauge R&R. IATF policies flag MSA missing. Quality engineer approves with conditions. The PPAP record lands hash-chained.
Start walkthrough →Predict project slip with explainable drivers
Run the slip-prediction model on a project. Stream in the KPI tiles, project context, narrative, and the SHAP-style top-driver waterfall. File the Action Item.
Start walkthrough →Defect handling: email → SAP QM → ServiceNow → reply
An RMA email triggers an eight-step Chain. PDF intake, the first HITL gate, SAP Q3 notification, ServiceNow incident, drafted reply, the second HITL gate, and the send.
Start walkthrough →Platform surfaces that matter most
Where the manufacturing work actually happens.
Mailbox
PPAP packages, RMA emails, supplier replies enter here.
Reactor
Engineers and quality managers ask questions; Skills run in the Skills rail.
Actions on SAP
QM notifications, control-plan updates, journal entries. OData v2 normalized.
Governance
IATF / VDA / customer-specific policies, editable with before→after history.
Inbox · HITL
Engineer approvals, SCAR workflows, supplier follow-ups land here.
Records
One immutable provenance trail per Reaction. The auditor's NDJSON pack ships from here.
Security & compliance posture
The questions procurement and IT will ask.
Supplier IP classification
Supplier-supplied designs, control plans, and PFMEAs can be tagged confidential or restricted at the System level. Trust Layer enforces the classification cap before any LLM call.
Customer-installable
Run on your VM, your Kubernetes, or air-gapped. SAP credentials never leave your boundary.
OData v2 quirks normalized
CSRF tokens, date formats, navigation properties handled at the connector. Your SAP team doesn't write the glue.
Hash-chained audit
Every PPAP decision, every control-plan revision, every Q3 notification is one immutable, re-verifiable row. Evidence pack ships in NDJSON for the auditor to verify offline.
IdP and SSO
Your Entra, Okta, or AD FS is the source of truth. SCIM 2.0 provisioning lands engineers and quality managers in the right tenant role within minutes.
Bring your own LLM
Pin restricted Systems to on-prem (Ollama). Use hosted models for non-restricted Skills. Your LLM contract stays on your paper.
What changes
Our gut feel for where the wins land.
We don't quote customer numbers we haven't measured. These are qualitative reads from the demos we've run. Treat them as the shape of the change, not the size.
Earlier signal on at-risk projects
The slip-prediction model surfaces high-risk projects with explainable drivers before the next milestone review, instead of after.
PPAP intake becomes structured work
Cpk, MSA, gauge R&R, IMDS, and control plan revision land as fields, not as PDFs. The engineer reviews exceptions instead of every page.
One thread per defect
Mailbox → QM notification → ServiceNow → supplier reply → close-out, all in one Reaction with one audit row.
Auditor receives a re-verifiable pack
Instead of a folder of screenshots and email forwards, the auditor gets NDJSON + signed anchors and a verification script.
Quality engineers' time shifts
Less time on intake hygiene, more time on the root-cause work that actually prevents the next defect.
Suppliers see a faster, more consistent reply
The drafter + HITL gate keeps the response on-policy, and the round-trip shrinks because nothing is sitting in someone's inbox.
Where to start
Our recommended first phase for a manufacturing pilot.
- 1.Connect one System: your project-scheduling DB or your SAP QM (read-only first).
- 2.Run the slip-prediction or PPAP-intake walkthrough on your data; demo to engineering and quality together.
- 3.Pick one Action to enable (Notify PM, or open a Q3 notification with HITL). Watch the first audit row land.
- 4.Bond the Governance Engine. Tune your IATF policy set. Run the manufacturing-quality walkthrough end-to-end on real PPAPs.
- 5.Add the defect-handling Chain. Wire ServiceNow and outbound email.
See the manufacturing walkthroughs on your data.
Bring a real PPAP, a real project, or a real defect. We'll run the relevant walkthrough against your sample.