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Ixia Consulting

AUTOMATE

Data Engineering & Business Automation

Engineer away manual processes and operational friction.

Most automation fails for a boring reason: it is built on messy data, or it automates a process nobody actually follows. The robot faithfully reproduces the chaos, faster.

We start from clean data and the real process, then engineer the repetition away: workflow automation, bespoke applications, and AI where it carries genuine load.

What we automate

  • Finance: invoice validation, payment processing, statement matching
  • Procurement: PO approvals, vendor onboarding, contract workflows
  • Compliance: trigger-based alerts, audit preparation, submissions
  • Reporting: auto-refresh, anomaly detection, threshold alerts
  • Field operations: Power Apps for inspections, audits and data capture
  • Bespoke enterprise applications with built-in data logic
  • AI-assisted classification, routing and prioritisation
  • Integration: REST APIs, SQL triggers, webhooks, event streams

How we build

  • Microsoft Power Automate
  • Microsoft Power Apps
  • Power BI
  • SAP Workflow, BTP and Event Mesh
  • Python
  • SQL
  • n8n and Node-RED for lean deployments

How an automation lands

  1. Map the friction

    Find what actually slows the team down, from the team, not the org chart.

  2. Start with impact

    Automate the hours, not the novelty.

  3. Build lean

    Low-code where it serves, deep integration where it counts.

  4. Test with real users

    If the people using it do not like it, it is not done.

  5. Measure and extend

    Prove the saved hours, then widen the footprint.

Hours given back

60% less review
Invoice validation bot for a retailer cut manual review time by 60%.
40+ sites
Compliance Power App rolled out across an operational mining footprint.
100+ hours a month
Automated PO resolution workflow on an SAP rollout, saving triple-digit hours monthly.

Why Ixia

Process before tooling

We automate the process that should exist, not the one that grew.

People first

Built for the person using it at 07:30 on a Monday.

Data underneath

Automation on clean data. Anything else is fast chaos.

Connected know-how

SAP, Microsoft, cloud and legacy, and the seams between them.

Which process is stealing your team's week?

Name it, and we will engineer it down to an exception queue.