AI Agents for Real-World Operations
From service tickets to intelligent resolution — in the field and in production systems.
Droplet AI connects automation hardware, enterprise systems, and service teams through AI agents and field-ready workflows. We help industrial and logistics operations reduce downtime, accelerate troubleshooting, and scale service delivery with confidence.
What We Deliver
Results, not just features
Operations Are Still Manual, Fragmented, and Reactive
Most warehouse automation teams have systems — but the systems don’t cooperate, and the evidence never arrives in one place.
- Service tickets lack context, timelines, and evidence
- Engineers spend more time documenting than fixing
- CMMS, WMS/RMS, SCADA/PLC, databases, and logs are disconnected
- Repeated failures due to weak root-cause visibility
- High MTTR and unpredictable service spend
- AI must operate inside real workflows (tickets → evidence → actions → reports)
- Decisions must be evidence-backed and auditable
- Execution must happen on the ground, across systems and teams
From Reactive to Preventive to Predictive
A practical maturity curve built around evidence, execution, and learning.
Reduce MTTR by turning messy tickets into actionable tasks with evidence and recommended next steps.
Standardize service execution, enforce SOPs, and close the loop with structured reports and acceptance.
Use operational evidence + system signals to detect patterns, forecast failures, and guide planning.
The Droplet AI Approach
AI creates value only when embedded into real execution.
Tech-Enabled Advantage
Voice-to-data, evidence-first workflows, and integrations across the stack — designed for warehouse automation operations.
Three Pillars of Capability
A complete loop: decision intelligence → field execution → sustained delivery.
Why Droplet AI
Evidence-first execution, integrations across systems, and field delivery — built for warehouse automation.