Modernize Your Business
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
The Business Value of Intercom and Fin
What does AI-powered customer support look like when it delivers measurable business value?
This IDC study examines how organizations using Intercom and Fin reduced human support volume, improved team efficiency, and elevated the customer experience.
Readers will get a data-backed look at how automation, chat-first support, and AI-driven workflows contributed to stronger productivity and satisfaction outcomes.
The 2026 Customer Service Transformation Report
Customer service is entering its biggest shift in decades — and AI is at the center of it.
But here’s the catch: while nearly everyone is adopting AI, only a small group is actually using it in a way that drives real transformation.
So what separates surface-level automation from mature deployment?
Download this new report from Intercom to uncover:
- Where support teams are seeing the biggest gains from AI
- Why deeper integration leads to clearer ROI
- What the next generation of customer experience will demand in 2026
- How support is becoming the blueprint for AI across the entire business
Don’t just launch AI. Learn how to scale it.
Blueprint Workbook Part 1: Launching an AI Agent
Launching an AI Agent can feel exciting — and risky.
Done well, it changes everything.
Done poorly, it creates customer distrust, internal hesitation, and disappointing results.
So how do you start the right way?
This step-by-step workbook will help you:
- Build a clear business case for AI in support
- Define what success actually looks like (beyond “deflection”)
- Evaluate solutions with confidence
- Deploy your AI Agent with the right tone, guardrails, and handoff experience
If you’re at the beginning of your AI journey, start here
Blueprint Workbook Part 2: Scaling an AI Agent
You’ve proven AI works. Now comes the harder question:
How do you scale it without breaking the customer experience?
Most teams stop at quick wins — but the real value comes when AI is deeply embedded into workflows, roles, and operations.
This workbook will show you how to:
- Design AI-first support that feels seamless and human
- Build trust through invisible handoffs and consistent experience
- Create the internal ownership and roles AI needs to succeed
- Turn early momentum into compounding business impact
Because scaling AI isn’t a feature upgrade — it’s an operating model shift.
How to Get an AI Agent to Handle Complex Queries
Many support teams start out using AI to handle straightforward work. Like basic FAQs or password resets. These types of queries are easy to automate, feel safe, and can reduce some support costs, but they’re not going to move the needle.
The real payoff comes when you start automating the complex, high-effort, multi-step tasks that require things like judgment, sequencing, and system interaction. The ones that tie up your team and slow down resolution.
This guide covers:
- What complex queries actually are
- How to get your AI agent to take on complex work
- Unlock value with a continuous improvement flywheel
Demo: How Fin Handles Complex Queries
Getting an AI Agent to answer customer questions might sound simple, but the work behind it isn’t. This quick demo shows you how Fin validates details, follows multi-step workflows, and takes secure actions to resolve issues end-to-end as accurately as your best agent.
Cybersecurity outlook: Trends, threats and readiness
For MSPs, keeping clients secure in a rapidly evolving threat landscape is a high-stakes, 24/7 mission. However, a critical question remains: Are your services truly meeting clients’ needs, or does a costly gap persist between what’s delivered and what’s expected?
The 2026 Kaseya Cybersecurity Outlook Report is designed to bridge that gap. We surveyed both SMBs and MSPs to get their views on cybersecurity challenges, shifting budgets and rising expectations. While the data presented primarily reflects SMB responses, it also includes a few key insights from MSPs. Together, this analysis is designed to help MSPs understand their clients’ evolving priorities — from where SMBs feel most vulnerable to where they are focusing their cybersecurity investments.
By understanding these perspectives, MSPs can better align their services, deliver measurable value and strengthen long-term partnerships. The findings in this report will equip you with the clarity and direction needed to guide clients confidently through 2026 and beyond.
2026 Kaseya state of the MSP report
Over the past year, MSPs have operated in a market defined by tighter deal sizes, cautious buyers and rising delivery costs. Growth hasn’t disappeared, but it has become harder earned. Winning new clients now requires clearer differentiation, stronger proof of value and tighter operational discipline than in prior years.
What stands out in this year’s findings is not a lack of demand, but a change in how that demand must be converted into revenue. The providers that will lead in the next cycle are not simply those that add more services. They are the ones that simplify their stacks, automate intelligently, package emerging capabilities like AI into measurable outcomes and tighten financial controls. Growth today is less about scale alone and more about precision.
This report reflects a market that is competitive, maturing and increasingly performance driven. The opportunity remains significant. The difference will come down to how effectively MSPs convert demand into structured, profitable and scalable service models.
