We map how your marketing and e-commerce work actually gets done, then automate and AI-augment the repetitive steps: listing updates, price and stock checks, campaign setup, content production and reporting, so a small team can run like a bigger one.
What's included.
Workflow mapping
We document how work flows today, where it waits and where it is repeated.
Automation
Integrations and scheduled jobs that move data between your tools without copy and paste.
AI augmentation
AI drafting, checking and summarising inside the workflow, with people approving the output.
Dashboards and reporting
One set of numbers across channels, delivered automatically.
Read the detail
In most marketing and e-commerce teams, a surprising share of the week goes to copying data between systems, updating listings one by one, rebuilding the same report and chasing approvals. None of it grows the business.
Process augmentation means keeping your people in charge of the work while automation and AI take over the steps that are repetitive. It sits between doing everything by hand and handing everything to a fully autonomous agent.
Typical workflows we augment
- Product listing creation and updates across marketplaces and the webstore
- Competitor price and stock monitoring, with alerts and suggested actions
- Campaign calendars, briefs and mega-sale preparation
- Content production: product copy, ad variants, translations
- Weekly and monthly reporting across channels
This builds on our own e-commerce tooling, including a pricing tool that tracks competitor price history across leading e-commerce channels in Asia.
Questions, answered.
What is process augmentation?
Process augmentation is using automation and AI to take over the repetitive steps of a team's workflow, such as data entry, listing updates or reporting, while people keep control of decisions and approvals.
How is this different from agentic AI?
Augmentation speeds up a workflow your team still runs. Agentic AI hands a whole task to an AI agent. Many clients start with augmentation and move specific tasks to agents once they are proven.