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IPsoft Introduces 1Desk

IPsoft announced its new platform for business users, 1Desk, that enables businesses to accelerate digital transformation and stay competitive in the digital economy.

Enterprises will be able to draw on a digital labor pool of cognitive agents, virtual engineers and virtual administrators in order to automate entire end-to-end processes, from HR and IT, to Finance and Administration. Employees will no longer have to navigate multiple systems but instead channel all their requests and queries through a single cognitively-enabled interface to access a full suite of enterprise services 24-by-7.

Although the average cost of Selling, General and Administrative (SG&A) expenses across industries sits at around 25% of sales, this can be considerably higher in major industries including Financial Services (41%) and Healthcare (38%). The level of automation made possible by 1Desk could cut this to a fraction of the cost. At the same time, employee productivity is set to rise sharply as dedicated personal digital support will eliminate the time wasted by filling out cumbersome forms and waiting for routine tasks to be completed.

“1Desk is the unified service desk that converges the front and back offices. It directly connects business users to the applications that service them, disintermediating large segments of IT and business operations. 1Desk improves the Net Promoter Scores not only for IT, but for HR, finance, helpdesk, facilities and administrative tasks. The big difference to 1Desk is that it has cognitive competence so it can understand business users directly, and service their requests through automated digital labor, not by armies of people,” said Chetan Dube, CEO of IPsoft.

Uniquely, 1Desk will be able to target the inefficiencies that lie in processes running across different functions. For example, the comprehensive process knowledge capabilities of Amelia, IPsoft’s market-leading cognitive agent embedded in the 1Desk platform, can act as the glue to unify the implications of policy changes across all supporting enterprise systems by automatically updating intelligent workflows.

Through machine learning, 1Desk facilitates rapid improvement and industrializes a cycle of continuous improvement and learning from every interaction with business users. Exceptions that are managed by human engineers and administrators within 1Desk are recorded at all times so that a stream of new intelligent automation is generated, speeding up the ability to implement new efficiencies going forward.

The vastly increased automation of business processes enabled by 1Desk represents a radical shift in the operating model for enterprise organizational models. In the future, the execution of tasks will be predominantly fulfilled by Digital Labor. Human talent will focus on managing and directing the further development of automation. IPsoft facilitates the creation of a Digital Labor Studio within organizations to orchestrate the rapid development of a continuously improving Digital Workforce. This unique hub of digital enablement talent will coordinate the work of automation engineers, data scientists, linguists, business analysts, user-experience designers and system integrators to deliver on the full value of 1Desk.

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IPsoft Introduces 1Desk

IPsoft announced its new platform for business users, 1Desk, that enables businesses to accelerate digital transformation and stay competitive in the digital economy.

Enterprises will be able to draw on a digital labor pool of cognitive agents, virtual engineers and virtual administrators in order to automate entire end-to-end processes, from HR and IT, to Finance and Administration. Employees will no longer have to navigate multiple systems but instead channel all their requests and queries through a single cognitively-enabled interface to access a full suite of enterprise services 24-by-7.

Although the average cost of Selling, General and Administrative (SG&A) expenses across industries sits at around 25% of sales, this can be considerably higher in major industries including Financial Services (41%) and Healthcare (38%). The level of automation made possible by 1Desk could cut this to a fraction of the cost. At the same time, employee productivity is set to rise sharply as dedicated personal digital support will eliminate the time wasted by filling out cumbersome forms and waiting for routine tasks to be completed.

“1Desk is the unified service desk that converges the front and back offices. It directly connects business users to the applications that service them, disintermediating large segments of IT and business operations. 1Desk improves the Net Promoter Scores not only for IT, but for HR, finance, helpdesk, facilities and administrative tasks. The big difference to 1Desk is that it has cognitive competence so it can understand business users directly, and service their requests through automated digital labor, not by armies of people,” said Chetan Dube, CEO of IPsoft.

Uniquely, 1Desk will be able to target the inefficiencies that lie in processes running across different functions. For example, the comprehensive process knowledge capabilities of Amelia, IPsoft’s market-leading cognitive agent embedded in the 1Desk platform, can act as the glue to unify the implications of policy changes across all supporting enterprise systems by automatically updating intelligent workflows.

Through machine learning, 1Desk facilitates rapid improvement and industrializes a cycle of continuous improvement and learning from every interaction with business users. Exceptions that are managed by human engineers and administrators within 1Desk are recorded at all times so that a stream of new intelligent automation is generated, speeding up the ability to implement new efficiencies going forward.

The vastly increased automation of business processes enabled by 1Desk represents a radical shift in the operating model for enterprise organizational models. In the future, the execution of tasks will be predominantly fulfilled by Digital Labor. Human talent will focus on managing and directing the further development of automation. IPsoft facilitates the creation of a Digital Labor Studio within organizations to orchestrate the rapid development of a continuously improving Digital Workforce. This unique hub of digital enablement talent will coordinate the work of automation engineers, data scientists, linguists, business analysts, user-experience designers and system integrators to deliver on the full value of 1Desk.

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In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...