80% Less Manual Work with Human-in-the-Loop AI Automation
A high-growth GTM team was losing 15+ hours a week to manual data entry and lead enrichment, and the team was wary of full automation. SiyaSphere designed human-in-the-loop AI workflows in Salesforce Flow and Clay, with checkpoints and validation gates that keep people in control of critical decisions. Manual work fell 80%, data accuracy passed 98%, and SDR capacity doubled without new hires.
- Manual work
- -80%
- Manual work
- Faster lead processing
- 3x
- Faster lead processing
- Data accuracy
- 98%+
- Data accuracy
The challenge
- Manual data entry and lead enrichment consumed 15+ hours every week.
- Human error put data quality at risk.
- The team resisted full automation, and SDRs couldn't scale.
What we built
- 1
Map routine vs. judgement tasks
Separated repetitive tasks that are safe to automate from decisions that need human judgement.
- 2
AI enrichment workflows
Automated enrichment and data entry with Clay and AI enrichment APIs feeding Salesforce.
- 3
Checkpoints and validation gates
Built Salesforce Flow checkpoints where a person reviews and approves critical updates before they go live.
- 4
Trust-first automation
Kept humans in control of critical decisions so the team could trust the automation and adopt it.
Results
- 80% reduction in manual work
- Leads processed 3x faster
- Data accuracy above 98%
- Strong team adoption
- SDR capacity doubled without adding headcount
Key takeaway
Adoption is the real bottleneck for GTM automation. Keeping people in the loop on critical decisions builds the trust that lets a team hand over the rest.