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Customer

How Blueground is Transforming Software Operations with Resolve AI

07/25/2025
6 min read
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Blueground, a leading proptech company, has redefined modern living by offering beautifully furnished apartments for long-term stays. With over 15,000 properties across 46 cities and a growing network of 5,000+ property partners, Blueground’s rapid expansion and acquisitions have created complex operational and technical challenges. Resolve AI, powered by advanced Agentic AI, has transformed how Blueground manages production engineering and software operations, seamlessly handling alerts, supporting root cause analysis, and alleviating the stress of on-call shifts.

Blueground's Business: Scaling Globally with Innovation and AI

In recent years, Blueground has made significant strides in driving all aspects of its operations with software while also extending its platform to partners. A key initiative is its partner network—a curated marketplace of properties—aiming to list 100,000 properties by 2025, seamlessly connecting renters and owners. Additionally, Blueground has launched a successful franchising model, licensing its branding and technology to franchisees in high value markets. With significant AI investments, including automating sales inquiries and customer support, Blueground is firmly positioned as a leader at the intersection of technology and real estate.

The Challenge: A Rapidly Expanding Tech Landscape

Blueground’s transition into a tech-forward enterprise has been pivotal to its growth. The stakes are high—disruptions in production could mean delays in their ambitious goals of integrating new markets, launching dynamic property models, and supporting a growing partner network. To enhance performance and scalability, the team has implemented a new architecture featuring multi-region replication. By leveraging edge-located databases for frequent searches, Blueground achieved 100ms response times for over 1,000 daily queries, driving meaningful improvements in production operations. With a platform team supporting a sophisticated infrastructure on AWS and Kubernetes, managing incident troubleshooting and telemetry became increasingly complex.

Before Resolve AI, Blueground’s team often struggled with fragmented data sources and tedious manual efforts during on-call shifts. Incidents like service interruptions or third-party API failures required engineers to investigate logs manually—a process that disrupted development workflows and consumed valuable time, especially during non-business hours.

The Solution: Agentic AI for Smarter and Faster Production Operations

Resolve AI was a transformative addition to Blueground’s production operations. Unlike traditional tools, Resolve AI’s agentic approach isn't just about gathering data—it acts as a collaborative, decision-making teammate. By integrating seamlessly with Blueground's infrastructure running on Kubernetes and AWS, and core tools like Datadog and Slack, Resolve AI not only analyzed incidents automatically within minutes but provided actionable insights directly in Slack channels, allowing engineers to focus on what mattered most.

blueground-case-screenshot-slack.png Andreas Gounaris, Engineering Director & Platform Tech Lead at Blueground, shares how Resolve AI transformed his team’s on-call experience:

"Before Resolve AI, any alert meant getting out of bed, opening my laptop, and digging through logs—often losing sleep in the process. Now, I can simply check Resolve AI’s response in Slack, which gives me the full context of the issue. If it’s a non-critical issue I can go back to sleep knowing the team can handle it in the morning. My ability to do all this without opening a laptop is a game-changer for on-call peace of mind."

– Andreas Gounaris, Engineering Director & Platform Tech Lead, Blueground

Before onboarding Resolve AI, Blueground was considering creating detailed runbooks for infrastructure management tasks, such as adjusting CPU memory or heap sizes. Additionally, plans were underway to train product squads on incident management, ensuring smoother operations beyond the platform team. Since Resolve AI can understand telemetry data, cloud infrastructure and services, it can reason about novel tasks and incidents by generating dynamic runbooks. This significantly reduced the need for highly experienced DevOps engineers to be on-call all the time, making it an ideal solution for Blueground to scale their operations.

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“It’s remarkable how Resolve AI enables even junior team members to feel confident managing incidents. One key lesson we learned is the importance of having solid telemetry—without good metrics and properly configured dashboards, you can’t expect AI to deliver great results. But once we achieved that, we saw Resolve AI become much more effective.”

– Stratos Pavlakis, CTO, Blueground

The Impact of Agentic AI: Efficiency and Productivity Unlocked

Resolve AI’s Agentic AI technology offers more than automation—it simplifies and accelerates incident resolution. By autonomously identifying root causes and assessing blast radius of the impact, Resolve AI gives engineers actionable insights without requiring them to manually piece together data from multiple sources. Its ability to connect infrastructure and application metrics has streamlined alert triage, making incident resolution faster and more efficient. Andreas highlighted its impact: “Resolve AI feels like having a teammate who’s already done half the work. Its insights let me know immediately if something’s critical or can wait, saving me countless hours and a lot of frustration.”

The immediate benefits of Resolve AI:

  • Time Savings: Engineers saved an average of 10–15 minutes per alert, even more during non business hours. because you can go back to sleep.
  • Reduced Disruption: Quick assessments minimized interruptions, fewer people in zoom sessions or war rooms, enabling engineers to stay focused on high-priority tasks.
  • Enhanced Triage Support: Agentic AI provided root cause analyses backed by evidence and contextual recommendations, reducing reliance on manual and often outdated runbooks.

For a team of mixed experience levels, Resolve AI became an indispensable tool, giving junior engineers the confidence and insights to perform their on-call duties effectively.

Future Vision: Scaling Agentic AI Across Blueground’s Ecosystem

Blueground’s adoption of Resolve AI and its Agentic AI technology highlights the transformative potential of advanced automation in software operations. By streamlining alert triage and incident resolution, Resolve AI has become a cornerstone of Blueground’s tech stack.

Looking ahead, Blueground plans to integrate Resolve AI deeper into its ecosystem, particularly for mission-critical integrations and scaling operations. By introducing Resolve AI to newer teams and junior engineers, the company hopes to standardize efficient, AI-driven workflows across its organization. As Stratos Pavlakis, CTO of Blueground, explains:

As we scale globally and integrate increasingly complex systems, I see Resolve AI playing an even bigger role—not just in troubleshooting, but in broader software operations. This partnership is only the beginning, and I’m excited to see how AI-driven operations will redefine the way we innovate and deliver value.

Bharath Gowda

Head of Marketing

Bharath is the Head of Marketing at Resolve AI. He loves building companies and working closely with technical founders to figure out products, customers and markets. Most recently, he held product and marketing leadership roles at Databricks.

    content title iconContent
  • Blueground's Business: Scaling Globally with Innovation and AI
  • The Challenge: A Rapidly Expanding Tech Landscape
  • The Solution: Agentic AI for Smarter and Faster Production Operations
  • The Impact of Agentic AI: Efficiency and Productivity Unlocked
  • Future Vision: Scaling Agentic AI Across Blueground’s Ecosystem
Bharath Gowda's avatar

Bharath Gowda

Head of Marketing

Bharath is the Head of Marketing at Resolve AI. He loves building companies and working closely with technical founders to figure out products, customers and markets. Most recently, he held product and marketing leadership roles at Databricks.

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