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Kronos
Ekko AI Assistant
About
Most AI automation firms describe what they do. Ekko was built around a different question: what does the client actually need? The answer is a firm that consults, builds, deploys, and maintains — with security baked in from the start.
Origin
Ekko started the same way the managed IT industry started — with a gap. Organizations are drowning in manual, repetitive processes. The explosion of LLMs made it technically possible to automate work that previously required human judgment. But most companies don't have the talent to identify what's automatable, architect the solution, or build and maintain it. The people who can do this are rare, expensive, and not looking for a job at a mid-market logistics company.
The same pattern that created the managed IT services industry is playing out again with AI. Companies need the capability but can't build the team. Ekko exists to be that outsourced capability — not a vendor, not a freelancer, but a firm that owns the entire lifecycle from discovery to maintenance.
The name comes from League of Legends — Ekko, a genius from the underground who builds world-changing technology from nothing. Every second counts. That's the ethos.
Founder
Founder & Principal Engineer
Jay Lane is a cybersecurity professional turned AI automation engineer. After years of watching security operations teams drown in manual, repetitive work that didn't require human judgment, he built the tooling to eliminate it — and founded Ekko Innovations to bring that capability to organizations that can't build it themselves.
His background in cybersecurity isn't a footnote — it's the reason every Ekko-built system ships with least-privilege access, encrypted data handling, prompt injection mitigation, and audit logging by default. Security isn't a feature we add. It's the foundation we build on.
Our Platform
EVAA is the foundation every custom AI automation system Ekko builds. It's a modular agentic AI framework that handles workflow orchestration, LLM integration, adaptive decision logic, and full system observability. Built once, deployed across any domain — security operations, IT service management, document processing, financial compliance, and beyond.
One AI automation architecture, any domain. Security ops, IT workflows, document processing, financial compliance — same foundation.
LLM provider, API integration, or business logic — swap any piece without rebuilding the whole system.
Isolated credential management and least-privilege access baked into the architecture.
Monitoring, logging, and alerting ship with every deployment. No black boxes.
Built With
By the Numbers
0%
Process time reduction (first deployment)
0
Automated tests per system
0%
Process coverage (zero gaps)
$0.000
AI cost per operation
Principles
Every system we deliver is something we’d trust with our own operations. No half-measures, no “good enough for now.” If it’s not production-ready, it doesn’t ship.
Your data handling, access controls, prompt injection mitigation, and infrastructure hardening are built in from day one — not bolted on after the fact. This isn’t a checkbox. It’s how we think about every system we ship.
We build modular, adaptable systems that can swap models, adjust to API changes, and evolve with the technology. You’re not locked into a solution that ages out.
What’s working, what’s not, and what the real limitations are. If automation isn’t the right answer for a process, we say so — even if it means a smaller engagement.
Philosophy
Your automation is version-controlled, testable software. You can audit it, extend it, and trust it. Not a workflow diagram that breaks when someone changes a setting.
Swap any component without rebuilding the whole system. When a better model ships or an API changes, your system adapts without starting over.
Least privilege, encrypted data handling, audit logging. Every system is built as if it will be attacked, because eventually it will be.
Every system ships with monitoring, logging, and alerting. You’ll always know if it’s working, what it’s doing, and when something needs attention.
Self-hosted open-source models, Azure AI Foundry, direct API — whatever your infrastructure and compliance requirements demand. No vendor lock-in.
Resources
Frameworks and comparisons to help you think clearly about AI automation.