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TheLoops 1.0 Released

TheLoops, an intelligent support operations platform, announced the release of version 1.0 of its enterprise-grade platform.

TheLoops transforms the support experience, enabling agents to make decisions faster and deliver modern support with real-time access to operational customer product feature data within tools such as Salesforce, Zendesk, Intercom and Jira.

TheLoops contextualizes data for businesses, delivering digital customer transformation. By learning from collaborations across support, customer success and engineering, it revolutionizes the support experience by providing insights from broad data sets and recommendations embedded in intelligent process flows – upskilling representatives to make them preventative and growth oriented. In effect, TheLoops bridges the gap between support and engineering. In addition, real-time insights drawn from people, process, and tooling interactions also help support managers to be more effective in monitoring the state of their service operations.

Key benefits of deploying TheLoops include:

- Unified Data – correlates all of your customer product data to identify the customer issue, present recommendations, and initiate workflows in a single view.

- Real-Time Insights – for support, contextual recommendations dramatically reduce handle time and resolve support tickets quickly.

- Continuous Learning – every resolution experience is retained to improve the next and scale results, building a frictionless customer experience by helping to prioritize feature and bug fixes.

- Intelligent Collaboration – agile, stateful process flows that run across systems and teams learning from each interaction and keeping everyone in sync. You no longer need to ask a customer what they’ve already told you.

- Operations Visibility – contextual awareness of your operations for processes improvement, forecasting and change management. While also providing visibility of agent performance and customer metrics.

SaaS products are generating a massive amount of customer interaction data, as is the tooling that surrounds them. This tooling includes support tickets, but also system alerts, team messages, log files, product analytics and more. Using product signals, TheLoops correlates and contextualizes data during the customer journey in order to identify problems and solve them. Figuring out where things could go wrong is a more efficient path to solving customer issues – leading to faster resolution, easier collaboration, and the build-up of tribal knowledge within the organization.

Somya Kapoor, CEO of TheLoops, said: “We live in a world where more digital businesses recognize that leveraging automation and analytics to support human-centric engagement will improve the quality of customer relationships and drive empathetic loyalty. Many companies have digitized their data, but not their customer experience. This is where TheLoops steps in. By having an agile approach to customer support, we enable our clients to scale their businesses while reducing operational costs. TheLoops transforms support from being a cost center to a growth driver.”

TheLoops is a no code, low code cloud-based solution with a monthly/annual pay-as-you-go subscription. It has an advanced security framework and is audited for SOC2 and GDPR compliance.

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TheLoops 1.0 Released

TheLoops, an intelligent support operations platform, announced the release of version 1.0 of its enterprise-grade platform.

TheLoops transforms the support experience, enabling agents to make decisions faster and deliver modern support with real-time access to operational customer product feature data within tools such as Salesforce, Zendesk, Intercom and Jira.

TheLoops contextualizes data for businesses, delivering digital customer transformation. By learning from collaborations across support, customer success and engineering, it revolutionizes the support experience by providing insights from broad data sets and recommendations embedded in intelligent process flows – upskilling representatives to make them preventative and growth oriented. In effect, TheLoops bridges the gap between support and engineering. In addition, real-time insights drawn from people, process, and tooling interactions also help support managers to be more effective in monitoring the state of their service operations.

Key benefits of deploying TheLoops include:

- Unified Data – correlates all of your customer product data to identify the customer issue, present recommendations, and initiate workflows in a single view.

- Real-Time Insights – for support, contextual recommendations dramatically reduce handle time and resolve support tickets quickly.

- Continuous Learning – every resolution experience is retained to improve the next and scale results, building a frictionless customer experience by helping to prioritize feature and bug fixes.

- Intelligent Collaboration – agile, stateful process flows that run across systems and teams learning from each interaction and keeping everyone in sync. You no longer need to ask a customer what they’ve already told you.

- Operations Visibility – contextual awareness of your operations for processes improvement, forecasting and change management. While also providing visibility of agent performance and customer metrics.

SaaS products are generating a massive amount of customer interaction data, as is the tooling that surrounds them. This tooling includes support tickets, but also system alerts, team messages, log files, product analytics and more. Using product signals, TheLoops correlates and contextualizes data during the customer journey in order to identify problems and solve them. Figuring out where things could go wrong is a more efficient path to solving customer issues – leading to faster resolution, easier collaboration, and the build-up of tribal knowledge within the organization.

Somya Kapoor, CEO of TheLoops, said: “We live in a world where more digital businesses recognize that leveraging automation and analytics to support human-centric engagement will improve the quality of customer relationships and drive empathetic loyalty. Many companies have digitized their data, but not their customer experience. This is where TheLoops steps in. By having an agile approach to customer support, we enable our clients to scale their businesses while reducing operational costs. TheLoops transforms support from being a cost center to a growth driver.”

TheLoops is a no code, low code cloud-based solution with a monthly/annual pay-as-you-go subscription. It has an advanced security framework and is audited for SOC2 and GDPR compliance.

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In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...