08/AI operations · consumer products

Business Process Optimization.

From operational chaos to an AI-powered workflow.

Project
Year
2026
Region
Under NDA
Practice
Lab
What we shipped
Process audit

Every core workflow mapped, with the highest-ROI automation opportunities scored and sequenced.

AI ops layer

AI agents alongside existing tools: live monitoring, data consolidation, risk flags, automated admin.

Credits
  • Lumaé Lab · audit + build
  • Client · operations team
  • Business process audit
  • AI opportunity mapping
  • AI operations agents
  • Data consolidation
  • Workflow automation
The brief

A growing consumer products company expanded across sales channels. Operations turned complex: manual work, fragmented data, and little visibility into daily performance.

Inventory and orders lived in separate systems. Wholesale orders ran by hand. Planning leaned on spreadsheets. Leadership spent hours gathering information before deciding.

What we did
  1. 01

    Business process audit. Mapped every core workflow, interviewed stakeholders, and traced how information moved across the company.

  2. 02

    Prioritisation. Scored each opportunity on business impact, complexity, and ROI. Picked wins deliverable in weeks, not months.

  3. 03

    An AI layer, not a rebuild. Added AI agents alongside the tools the team already used.

  4. 04

    Agents monitor operations live, consolidate data across systems, detect risks, and automate repetitive administrative work.

  5. 05

    Leadership now gets actionable insight instead of raw data.

What changed
Real-time

Decisions made on live operations, not last week's reports.

Fewer errors

Repetitive admin automated, so operational mistakes dropped.

No new hires

Workflows scaled without adding headcount.