Modernize Your Business
Data-Driven Finance eBook
Fix the close. End the data chaos. Make AI finally work for finance.
Finance teams today are being asked to close faster, explain variances clearly, tighten forecasts, and deliver insights on demand — all while dealing with fragmented data, mismatched definitions, and rising pressure to “use AI.”
The problem?
You can’t move faster when your data isn’t aligned.
This guide shows you how to fix that.
Unify your data. Make faster decisions. Build trust in your numbers. Empower your team. Get the guide.
Fortify, Bridge, Transform eBook
ERP modernization isn’t a single yesorno decision—it’s about relieving the right pressure at the right time, and understanding what’s viable, responsible, and realistic over the next several years. This eBook helps midmarket and enterprise leaders evaluate three practical paths: Fortify, Bridge, and Transform.
Learn how to reduce technical debt, strengthen control maturity, and create capacity to scale—whether your priority is audit readiness, operational bandwidth, or modernizing the core without unnecessary disruption or headcount growth.
The Future of Agentic AI
From copilots to coworkers: how autonomous agents will reshape work and competitive advantage
AI is moving beyond chatbots and copilots. The next wave—agentic AI—doesn’t just answer questions. It plans tasks, executes across entire enterprise systems, and moves work forward to deliver measurable value under human oversight.
This guide is a practical roadmap for leaders who want to turn AI experimentation into real operational impact. It outlines the architectural building blocks, governance requirements, and Microsoft ecosystem foundations needed to operationalize agentic AI safely, transforming how organizations design processes, measure ROI, and gain competitive advantage.
What Should Software Teams Expect from Remote Support Platforms to Streamline Operations and Safeguard their Brand?
Software and technology teams operate in a high-stakes environment where every customer interaction can impact brand trust, security, and compliance. This blog explores what modern organizations should expect from remote support platforms to keep operations running smoothly while protecting sensitive data. It highlights the risks of outdated tools—from security vulnerabilities to operational inefficiencies—and outlines the critical capabilities today’s teams need, including robust access controls, real-time auditability, and fast, reliable global connectivity. Discover how forward-thinking companies are elevating their support strategy to deliver secure, seamless experiences that safeguard both their customers and their reputation.
Beyond modernization: A CIO’s roadmap to agentic AI transformation
Agentic AI Transformation for Modern Enterprise IT
Modernization is no longer a destination—it’s a continuous journey. As agentic AI reshapes enterprise IT, CIOs must rethink architecture, governance, and legacy systems to support autonomous systems and human-AI collaboration at scale.
Building Enterprise-Ready Agentic AI at Scale
This e-book explores how agentic systems enable organizations to extend and renew existing environments without disruptive rebuilds—delivering the agility, resilience, and speed required to keep pace with constantly changing business demands. It also shows why a unified, agile, and enterprise-proven AI development platform is critical for turning AI ambition into execution.
In this e-book you’ll learn how to:
- Use agentic AI to modernize and extend legacy systems without replacing core platforms
- Build an evergreen architecture that stays stable at the core and evolves at the edges
- Design agent-driven workflows with built-in governance, security, and observability
- Bring AI into the SDLC while avoiding future technical debt and tool sprawl
- Scale AI agents faster using a unified platform that supports rapid iteration and control
- The result is a practical roadmap for CIOs looking to build their agentic future—one that balances speed with safety, innovation with governance, and transformation with enterprise readiness.
AI Agent Orchestration: How to Close the Action Gap and Improve ROI
Why AI agent adoption stalls without agent orchestration
AI adoption stalls when standalone agents lack deep workflow integration, forcing humans to act as "middleware" between insights and execution. This manual friction increases the cost of AI agents and creates a time-to-action lag that prevents measurable AI agent ROI.
Is AI agent orchestration suitable for complex workflows?
AI agent orchestration is specifically designed to handle the complexity that single-prompt models cannot. By acting as a central "conductor," an orchestration layer coordinates multiple specialized agents to share context and collaborate on iterative, multistep planning. This allows organizations to automate sophisticated end-to-end processes while reducing the manual friction that typically stalls AI agent adoption.
Is orchestration part of an AI agent strategy?
Yes, orchestration is the vital link that transforms isolated experiments into production-ready workflows. A mature AI agent strategy uses an orchestration layer to manage agent handoffs and ensure that multi AI agent orchestration aligns with business goals.
Start improving AI agent ROI
Download the full Forrester report, Mind The Agentic Action Gap: Stop Losing Money With AI Agents, to bridge the agentic action gap and transform your AI initiatives into high-ROI strategic assets.
Measure your gap by assessing friction, time to action, and compliance to improve AI agent ROI measurement.
Flip the operating model so agents orchestrate execution while humans shift to high-level oversight.
Master agent experience skills like knowledge curation and critical thinking to accelerate AI agent adoption.
How Fellowmind Uncomplicated IT: Cutting 18 Systems, Scaling Service Delivery, and Unlocking AI-Driven Operations
IT complexity holds many organisations back from delivering efficient, scalable service operations.
In this on-demand webinar, discover how Fellowmind transformed their IT environment by consolidating 18 separate ITSM systems into a single platform with Freshservice, unlocking automation, visibility, and AI-driven capabilities.
Hear from Gorm Priem (Fellowmind) and Freshworks experts as they share how this shift enabled them to scale managed services revenue from 10% to over 20% without increasing headcount, while improving service efficiency and user experience.
Attendees will walk away with:
- A clear framework for reducing IT complexity through consolidation
- Insights into how a unified platform unlocks AI and automation potential
- Practical lessons from a large-scale ITSM transformation across multiple countries
- Real examples of improving service delivery, compliance, and operational efficiency
- Guidance on preparing IT operations for scalable, AI-driven service models
Ideal for IT leaders looking to simplify their tech stack, boost efficiency, and build a future-ready service strategy.
By the numbers: Why LogMeIn Rescue outperforms TeamViewer
Struggling with slow connections, limited device compatibility, or security gaps in your remote IT support solution? It may be time for a smarter approach.
LogMeIn Rescue is built to help support teams resolve issues faster, work more efficiently, and deliver seamless customer experiences—no matter the device, network speed, or environment. Independent testing shows Rescue enables connections up to 2x faster and file transfers over 3x faster, while using significantly less memory than TeamViewer.
Beyond speed, Rescue empowers your team with advanced collaboration tools, support for older operating systems, and enterprise-grade security—including single-use access codes and device-level authentication to keep every session protected.
Whether you're supporting a global workforce or troubleshooting on low-bandwidth connections, Rescue helps you hit your KPIs without compromise.Download this datasheet to learn more.
Embedded Intelligence Loop: Faster Insights Without Moving Your Data
The “Embedded Intelligence Loop” illustrates how modern data platforms integrate analytics, AI, and applications into a continuous, closed-loop system that drives faster and more informed decision-making. By combining Posit’s data science tooling with Databricks’ Data Intelligence Platform, organizations can seamlessly move from data ingestion and exploration to model development, deployment, and real-time feedback. This loop enables users to build and embed intelligent applications directly into business workflows, ensuring insights are continuously refined through usage and new data. The result is a unified, governed environment where data, models, and applications operate together—accelerating innovation, improving collaboration, and turning raw data into actionable, continuously evolving intelligence.
Spring 2026 G2 Grid Report: AI Customer Support Agents
Get the analyst-backed proof behind Fin’s leadership in AI customer support.
In G2’s Spring 2026 Grid Report, Fin by Intercom stands out with top customer satisfaction scores, strong market presence, and rapid time to value.
Access the report to see how real users rate Fin against other leading AI customer support platforms
