Service

Legacy workflow modernization

Modernize fragile file, email and SharePoint flows without waiting for a full enterprise platform replacement.

What we solve

Replace spreadsheet-heavy workarounds with controlled flows.

01 · we handle

Legacy flow audit and risk scoring

result

Less operational fragility

02 · we handle

SharePoint, OneDrive and email workflow upgrades

result

Safer incremental change

03 · we handle

Incremental migration around existing systems

result

Visible ROI before a large rebuild

Deliverables

  • Workflow audit
  • Remediation plan
  • Automation MVP
  • Migration roadmap

Outcomes

  • Less operational fragility
  • Safer incremental change
  • Visible ROI before a large rebuild

Common integrations

Factory filesCSV · XLSX · XML
PIM APIsproduct · warranty · media
ERP dataorders · serials · production
Service workflowsclaims · lookup · notifications

What you get

Four things, in one engagement.

01

Flow audit

Every file, email, reminder and manual validation in the current workflow, mapped and scored.

02

Risk scoring

Which fragile steps can break the brand promise first, and what each one costs to fix.

03

Automation MVP

The highest-value slice automated first, proving the pattern on real files within weeks.

04

Incremental migration

Old and new flows run in parallel until the numbers prove the new one, then the old one retires.

Runs onSharePoint / OneDriveEmail flowsExcelAzure Logic AppsSchedulersMonitors

Where it sits

From factory export to service-ready record.

Every engagement plugs into the same governed pipeline. This service strengthens its part of the flow without breaking the rest.

Factory filesCSV · XLSX · API
Validaterules per factory
Enrichparts · manuals
PublishPIM · ERP API
Service-readylookup · alerts

Onix x Duscholux

Duscholux warranty data automation

Automated factory warranty and serial number data from four European factories into a PIM-ready operational pipeline.

4factory flows
0manual import steps
14days after production
40%estimated time reduction

Very precise and well documented. Documents were ready to be turned into code. AI support in development is the part that matters. An in-depth process design is key to achieve it.

Client-side project review, Duscholux
Azure Logic AppsAzure App ServiceNext.js admin panelPIM APIEmail notificationsSharePoint / OneDrive

How we deliver

A delivery process designed for messy operational data.

Diagnosis first, scoped delivery second, measurable operation third. That order keeps automation precise instead of decorative.

01

Process triage

Identify systems, owners, file flows, exceptions and the business cost of manual work.

02

Operating spec

Define data contracts, validation rules, enrichment logic, roles and acceptance criteria.

03

Automation build

Implement the workflow layer, integrations, admin panel and notifications.

04

Real-data validation

Test with actual factory exports, edge cases and stakeholder reviews.

05

Operate and expand

Monitor results, improve quality and scale the pattern to more factories and processes.

Service FAQ

Asked on the first call.

More general questions live in the full FAQ.

Rescue first. Most gaps live between systems and respond to a controlled automation layer. Rebuild only when the audit proves the core model itself is wrong.

No big-bang cutover. Flows run in parallel, results are compared on real data, and the switch happens only after the numbers agree.

Project triage

Bring the messy process. We will map the path to automation.

Share the workflow, systems and data sources. We turn it into a clear next step: rescue, integration, admin panel, or a fuller automation build.

Reply within 1 business dayNDA-friendly reviewFixed scope before code

Typical first audit

free · senior-led
  • System and file-flow map with named owners
  • Automation opportunity score for each manual step
  • Delivery plan, risk list and a fixed-scope next step
Start project triage