Workflow automation
Reduce manual steps, routing, triage, and handoffs in core ops flows.
AI that survivesproduction.
We help product and operations teams identify high-leverage workflows, then design and deploy agentic systems that reduce manual work and decision overhead in real environments.
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Workflow automation
Decision support
Agentic systems
Human-in-the-loop
Operational metrics
Production reliability
Tool integrations
Monitoring & iteration
Workflow automation
Decision support
Agentic systems
Human-in-the-loop
Operational metrics
Production reliability
Tool integrations
Monitoring & iteration
Capabilities
What we help with
Decision support
Surface evidence, recommend actions, and keep humans in control.
Agentic systems in production
Tool-using agents integrated into real processes with reliability in mind.
Process
How we work
01
Discover
Clarify workflow, owner, metric, constraints, and path to production.
02
Build
Design and deploy a production-grade AI system around the use case.
03
Operate
Monitor, evaluate, and iterate as the system becomes part of operations.
Systems that survive production—not prototypes that stall.
Philosophy
Our point of view
Most companies don't need more AI features. They need fewer manual decisions.
AI systems should be designed like infrastructure—owned, measured, and monitored.
If AI can't be tied to an operational metric, it's not ready for production.
Team
Founders
Prithvi Seshadri and Vamsi Krishna are UPenn-trained in data science and systems engineering, with upcoming work across Google (YouTube Trust & Safety) and Amazon AGI focused on applied AI and agentic systems.
Alignment
Is this a fit?
Good fit
- +You have a workflow with measurable operational impact
- +You want production outcomes, not a demo
- +You can assign an owner for the system internally
Not a fit
- −You want a generic chatbot wrapper
- −You want hourly staff augmentation
- −You're exploring without a path to production
Get started
Bring us a workflow
Share what breaks and what “better” looks like. We respond within 24 hours.
Or email directly: ps27@seas.upenn.edu · nkvk@seas.upenn.edu
Schedule a discovery call