Kai AI Cuts Cloud and IT Costs with AI SRE Agent

Kai AI delivers AI-powered legal automation to help law firms and corporate legal teams streamline document analysis and accelerate casework. But as the platform scaled, infrastructure complexity grew—and so did the cost of managing it.

With a lean team, Kai needed a smarter way to handle day to day IT operations, incidents and resource optimization without adding headcount or losing focus on product innovation.

That’s when they deployed Hawkeye—NeuBird’s AI SRE Agent as a SaaS service running on AWS cloud.

The Challenge: Growing Cloud Costs, Manual Ops

As Kai AI’s IT  footprint expanded, they faced increasing operational overhead. They had monitoring data, but identifying issues and acting on them quickly still required manual effort. Common challenges included:

• Manual investigation across Prometheus, Grafana, and logs to find root causes
• No automation for spotting underutilized or misconfigured GPU workloads
• Reactive firefighting pulling engineers off roadmap priorities
• Cloud spend rising without clear visibility into inefficiencies

Kai needed an IT teammate that could interpret telemetry in real time—and act before waste or downtime escalated.

From Missed Signals to Real Savings

One moment captured the power of Hawkeye in action. With no active incidents in progress, Hawkeye detected sustained low GPU utilization across several nodes. It tied the inefficiency to specific workloads and surfaced the insight automatically. The team hadn’t seen it—but the agent had.

Using this information, Kai AI rebalanced their GPU allocation, scaled down idle resources, and cut unnecessary cloud costs without affecting performance or delivery.

Diagnosing Incidents Before They Escalate

In another case, users experienced intermittent latency in document analysis workflows. Traditional dashboards didn’t reveal the root cause. Hawkeye did.

Within minutes, it identified a memory leak in a microservice that triggered pod restarts and downstream slowness. Armed with the diagnosis, the team was able to patch the faulty microservice and adjusted pod resource settings.The issue was resolved quickly—without the usual hours of manual investigation

No paging marathons. No hours lost to manual triage. Just clear diagnosis, fast resolution.

“Hawkeye surfaces what matters—fast. It diagnoses issues, flags inefficiencies, and gives us the full story before our team even has to dig,” said Anthony Hanrahan, CTO of Kai.AI. “It’s become an integral member of our engineering team.”

Tangible Impact on Engineering and Operations

Since implementing Hawkeye, Kai AI has seen a clear shift in how their engineering team operates—faster resolution, smarter resource usage, and more time for innovation.

• Established live alerting and real time issue diagnosis for Prometheus in their cloud cluster, enabling a lean team to scale with confidence
• Cloud infrastructure costs savings, with underutilized GPU resources caught early helping the team optimize for their usage 
• Incident response speed increase by 10x, with root causes surfaced in minutes
• Improved platform stability, supporting legal teams working on time-sensitive cases

“With Hawkeye, we’ve seen a 10x improvement in how quickly we diagnose and act on IT issues,” said Chris Jones, COO of Kai AI. “It’s helped us be more proactive—optimizing cloud costs, reducing troubleshooting time, and giving our engineers more time to innovate.”

Smarter Operations Without Growing Headcount

With Hawkeye, Kai AI shifted from reactive ops to intelligent, autonomous IT management. The agent reasons across logs, metrics, traces, and past incidents to deliver:

• Actionable diagnoses and next steps
• Early warnings tied to infrastructure waste or performance risks
• Always-on support that helps lean teams operate like much larger ones

For Kai, that means fewer disruptions, lower costs, and more product delivered—without hiring to expand their team.

Harnessing the Power of LLMs for Secure Telemetry Analysis

Delivered as a SaaS service on AWS cloud, Hawkeye combines its domain-specific intelligence with the power of Amazon Bedrock for AI-driven analysis ensuring that incident correlations are accurate and actionable, accelerating root cause identification.

Running on AWS cloud, leveraging Amazon EKS, Amazon RDS and related services as the foundation, allows Hawkeye to deliver a reliable, scalable infrastructure that protects data integrity and facilitates continuous monitoring 24×7.

Want to reduce IT overhead without sacrificing speed?

Book a demo and see how Hawkeye can help your team operate smarter, not harder.