- Case Study 05
- Enterprise Operations
- India
Automating Data Entry for a 200-Person Operations Team
A large Indian enterprise employed over 200 people on manual data entry. We identified which work AI could realistically automate — and saved them $1 million annually.
Headline results
- Annual cost savings
- $1M
- Of tasks automated
- 50%
- Staff redeployed
- 200+
The situation
The Situation
The company wanted to know how much of their manual data entry operation could be replaced by AI. They had over 200 employees dedicated to data entry and validation — a significant cost centre that was growing as the business scaled. Leadership needed an honest answer, not a sales pitch.
What we built
What We Found
After a detailed workflow analysis, we identified that half the manual tasks were excellent candidates for immediate automation with strong ROI. The other half was technically automatable but economically unviable with current technology — automating it would have cost more than it saved. This honest assessment prevented the company from making a costly mistake. Many AI vendors would have said "automate everything" — we said "automate these 50%, and here's exactly why."
PHASED APPROACH
- Phase 1: Automate the 50% with the best ROI — repetitive data entry and validation tasks where AI was fast, accurate, and cost-effective immediately
- Phase 2: Monitor AI technology advancement for the remaining 50% — delay investment until cost and capability curves made it viable
Afterwards
Results
| Metric | Outcome |
|---|---|
| Annual cost savings | $1 million |
| Manual workload reduced | 50% of total tasks automated |
| Staff impact | Redeployed to higher-value work |
| Unnecessary AI spend avoided | Significant — by not automating the unviable 50% |
Our Philosophy
We focus on practical AI adoption over hype. Every engagement starts with an honest assessment of where AI genuinely creates value — and where it doesn't. This approach consistently delivers better ROI than "automate everything" strategies.