Managed AI Solutions

IronAIโ„ข Success Story โ€“ IT Director

Challenge For IT leaders, strategic planning often demands extensive research, cross-department collaboration, and constant information gathering. Building technology roadmaps, assessing compliance requirements, or evaluating vendor solutions can consume hours or even days of effort. Without a dedicated research team, IT directors must independently source information from peers, vendors, and countless online resources โ€” then validate […]

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IronAIโ„ข Success Story โ€“ Support Technician

Challenge In a fast-paced technical support environment, efficiency is everything. Support technicians are expected to quickly diagnose issues, communicate solutions clearly, and maintain high-quality service for every user request. Before using IronAI, troubleshooting often required switching between multiple AI tools or manually searching for next steps across different platforms. Public AI tools like ChatGPT were

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IronAIโ„ข Success Story โ€“ Solution Architect

Challenge For technical engineers and solution architects, proposal development can be one of the most time-intensive responsibilities. Each project requires crafting detailed scopes of work, defining the level of effort (LOE), and writing technical outlines that are comprehensive enough for experienced engineers โ€” yet still clear and approachable for clients. These repetitive tasks slowed down

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IronAIโ„ข Success Story โ€“ Sales Account Executive

Challenge For Account Executives, prospecting and research are often the most time-consuming parts of the sales process โ€” essential but repetitive work that slows down momentum. Before connecting with a new lead, each account required detailed preparation โ€” manually reviewing company websites, LinkedIn profiles, and recent news to identify potential pain points and key decision-makers.

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Beyond Jargon What Does โ€œEnterprise-Levelโ€ Mean in IT

IronAIโ„ข Success Story – Data Analyst

Challenge For data analysts, time is divided between managing client deliverables, building reports, and troubleshooting technical issues. The constant context switching between projects and support tickets made it difficult to stay efficient. Before IronAI, solving complex data issues in SQL, Power BI, or Azure Data Factory could take hours โ€” especially when debugging formulas or

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5 Facts About AI at Work

Artificial Intelligence is transforming the workplace โ€” but most companies arenโ€™t ready for what comes next.  Our new infographic, โ€œ5 Facts About AI at Work: The Shift from Public Tools to Secure LLM Platforms,โ€ breaks down the data behind this rapid shift โ€” and what it means for small and midsize businesses.  Youโ€™ll discover:  Why AI adoption

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Shadow IT & SaaS Sprawl: Managing Hidden Cyber Risks

https://youtu.be/nsIixe4EZI0 Unapproved software, cloud apps, and AI tools are sneaking into businesses at an unprecedented pace. From personal Dropbox accounts to team-bought SaaS platforms and unapproved AI tools like ChatGPT, these hidden technologiesโ€”known as Shadow ITโ€”are one of the fastest-growing cybersecurity risks for small and midsize organizations.  Expert Panel  Rob Foit, Director of Security, IronEdge

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Shadow AI and Shadow IT: The Hidden Cyber Risks Every Business Needs to Manage 

Uncontrolled software usage โ€” from personal Dropbox accounts to unapproved AI tools โ€” is one of the fastest-growing cybersecurity threats facing small and midsize businesses today. Known as Shadow IT, these unauthorized tools create blind spots for IT teams, expose sensitive data, and increase the risk of compliance violations.  But as AI becomes woven into

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Choosing an LLM Platform vs. Public AI Software: Best AI Tools for Business 

Artificial intelligence has officially arrived in the workplace โ€” and its impact could rival the Industrial Revolution. According to McKinsey, AI has the potential to unlock up to $4.4 trillion in annual productivity gains for businesses worldwide. With large language models (LLMs) now available from leading developers like Anthropic, Cohere, Google, Meta, Mistral, and OpenAI,

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