Insights
How We Think About Automation
Technical deep-dives into the real constraints of enterprise AI deployment — from legacy system challenges to privacy architecture decisions.
Why Most Enterprise Work Is Still Manual (Despite AI)
Intelligence isn't the bottleneck — execution is.
Automation vs Agentic Execution: A Technical Boundary
Automation is deterministic. Agents operate under uncertainty.
Why Cloud-Only Agents Break in Regulated Environments
Privacy laws didn't kill AI — they killed cloud-first assumptions.
On-Device Vision Is Not a Hack — It's the Only Universal Interface
Screens are the last stable API.
Self-Healing Automation: What's Real and What's Marketing
True self-healing is probabilistic, partial, and bounded.
Zero-Trust for Agents: What It Actually Means
Zero-trust is about execution boundaries, not encryption.
Why RPA Vendors Can't Easily Evolve Into Agentic Systems
Legacy architecture creates strategic inertia.
Why Local LLMs Alone Are Not the Answer
Intelligence without execution control is still useless.
Agent OS vs Application: Why Infrastructure Looks Slow but Wins
Foundational layers always look unimpressive at first.
What We Can and Cannot Do Today (Honest Status)
Trust comes from admitting limits.
Frequently Asked Questions
Common questions about our architecture, capabilities, and approach.
Have more questions?
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