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Resolve Webinar: Introducing AgentLab: The Foundation of the Autonomous Service Desk

Most service desks still operate across fragmented systems. A single ticket can touch 4–7 tools, often more, slowing resolution and increasing cost. Copilots suggest. Traditional automation executes fixed paths. Neither closes the loop. AgentLab changes that. In this webinar, we introduce a new model built on agentic AI and orchestration. One where AI agents don’t just assist. They act, adapt, and resolve.

Scaling Remote Teams in Asia: Compliance Challenges and How EOR Models Solve Them

Asia continues to draw global companies looking to scale their remote workforce, thanks to its deep talent pools and cost advantages. Yet hiring across the region brings layered compliance demands that vary from country to country. The employer of record (EOR) model has emerged as a practical fix, helping firms hire legally and quickly without the cost of building local entities from scratch.

How Financial Institutions Are Rethinking Risk Management in a Digital-First World

Financial services have undergone a rapid digital transformation over the past decade. Nowadays, institutions are able to scale up faster and service customers more efficiently through cloud infrastructure, real-time payments, and API-driven platforms. But this shift also introduced a more complex risk landscape. Risk management is no longer confined to compliance teams and periodic audits. It's now embedded in day-to-day operations. As financial institutions modernize, they need to rethink how they identify, monitor, and mitigate risks across their entire tech stack.

Advanced Tracking Systems For Modern Hunters

Hunters find new ways to navigate the woods with high-tech gear. Staying on the right path is much easier when you have mapping tools in your pocket. These systems help you track movement in any weather condition. Modern hardware keeps you safe and helps you find the best spots for your next trip. These devices offer better precision than the old paper maps many used in the past. You can see your exact location with the push of a button.

Top tips: When "sounds right" isn't right

Top Tips is a weekly column where we highlight what’s trending in the tech world today and list ways to explore these trends. This week, we’re looking at why convincing AI answers can still be wrong and how to catch them before they slip through. AI doesn’t fail the way it used to. It doesn’t give obviously wrong answers. It gives answers that are just right enough to trust. And that’s exactly why we stop questioning it. It fits into our workflow so easily.

Your Team is Using Claude Code. Do You Know What It's Costing You?

The first two weeks of Claude Code are exciting. The third week is when you realize you don’t have visibility into what it’s doing or what it’s costing you. You would not run a production service without metrics, logs, and dashboards or deploy an API without knowing its latency, error rate, or cost per request.

DORA Metrics in the AI Era: Why Deployment Isn't Faster

DORA metrics in the AI era reveal a paradox: PR volume is climbing, but deployment frequency is staying flat. In this talk, GitKraken's Director of Product Jeff Schinella breaks down why AI-accelerated code generation is creating a review bottleneck that your DORA metrics can't fully explain on their own. Jeff walks through how PR metrics (cycle time, first response time, code churn, and PR size) serve as the leading indicators behind your DORA data. If your deployment frequency is flat while PR counts go up, the bottleneck isn't your devs. It's your review capacity.

Ticket Taker to Team Leader: Managing an Agentic IT Workforce

The promise of AI in IT service management has been circulating for years. Chatbots that deflect tickets. Virtual agents that answer FAQs. Automation that routes requests. These are useful, but probably not the dream-state you were originally sold. What's different today is the arrival of agentic AI: systems that don't just respond to instructions but reason, act, and adapt across multi-step workflows with real consequences. The question for IT leaders is no longer whether to adopt agentic ITSM.