--- title: Tingono’s Reaction to McKinsey’s State of AI 2025 description: Tingono reacts to McKinsey’s State of AI 2025 report, highlighting rising AI adoption, agentic workflows, redesigned processes, and how it applies to CS. image: https://tingono.ai/hubfs/AI-Generated%20Media/Images/The%20image%20depicts%20a%20sleek%20modern%20office%20space%20filled%20with%20natural%20light%20streaming%20through%20large%20windows%20In%20the%20foreground%20a%20diverse%20group%20of%20professio-1.png --- Product Overview Benefits Predict Proactively uncover opportunities and risks. Prepare All your customer data in a single view. Pursue Automate and capture revenue faster. Use cases Upsell Cross-sell Churn Integrations CSPs Resources Being Data Driven Blog FAQs Security & Compliance About [Watch a demo](https://www.tingono.com/choose-how-to-see-a-tingono-demo) Product Overview --- Benefits Predict Prepare Pursue --- Use Cases Upsell Cross-sell Churn --- Integrations CSPs --- Resources Being Data Driven Blog FAQs Security & Compliance --- About --- [Watch a demo](https://www.tingono.com/choose-how-to-see-a-tingono-demo) [ ⬅️ Back to posts ](https://tingono.ai/blog) Filter By Categories - [Revenue Growth](https://tingono.ai/blog/topic/revenue-growth) - [AI / ML](https://tingono.ai/blog/topic/ai-ml) - [Customer Retention](https://tingono.ai/blog/topic/customer-retention) - [GTM](https://tingono.ai/blog/topic/gtm) - [SaaS](https://tingono.ai/blog/topic/saas) # Tingono’s Reaction to McKinsey’s State of AI 2025 [![Parry Bedi](https://tingono.ai/hubfs/Parry.jpeg)](https://tingono.ai/blog/author/parry-bedi) By [Parry Bedi](https://tingono.ai/blog/author/parry-bedi) December 09, 2025 [**](https://www.facebook.com/sharer/sharer.php?u=https%3A%2F%2Ftingono.ai%2Fblog%2Ftingonos-reaction-to-mckinseys-state-of-ai-2025) [**](http://www.linkedin.com/shareArticle?mini=true&url=https://tingono.ai/blog/tingonos-reaction-to-mckinseys-state-of-ai-2025) [**](https://www.twitter.com/share?url=https%3A%2F%2Ftingono.ai%2Fblog%2Ftingonos-reaction-to-mckinseys-state-of-ai-2025) **  [AI / ML](https://tingono.ai/blog/topic/ai-ml) [Automation](https://tingono.ai/blog/topic/automation) [Data](https://tingono.ai/blog/topic/data) **The Industry Is Maturing — And That’s Good News for Customer Success & AI-Driven Organizations**    [McKinsey’s *State of AI 2025*](https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai) report paints a picture of an AI landscape that is both accelerating and stabilizing. Adoption is high, experimentation is everywhere, and the appetite for AI-driven transformation keeps growing. At the same time, organizations are grappling with how to turn that enthusiasm into **consistent, scalable, enterprise-level value**.    As a company working at the intersection of **AI and Customer Success**, we see this report as a meaningful signal of where the industry is going — and what’s required to build real, lasting impact.    **🎯 AI Adoption Is Up — But the Hard Part Is Operationalizing**    One of the clearest findings is that organizations are using AI across more functions than ever before. This echoes what we see: CS teams, GTM teams, and post-sales organizations increasingly view AI not as an experiment but as a required capability.    But McKinsey’s data also highlights that **value realization lags adoption**. Many companies deploy AI in isolated pockets, without the operational or data foundations to scale it.    For those of us in AI, this underscores an important truth: **the next wave isn’t about more AI — it’s about making AI durable, predictable, and operational.**    **🤖 Agentic AI Is Rising, But Not Yet Fully Understood**    The report highlights strong momentum behind AI agents. Organizations are excited about delegated workflows, autonomous suggestions, and software that can take action instead of merely surfacing insights.  But the adoption curve is still early. Many companies are figuring out:  - How much autonomy should agents have?  - What workflows are appropriate for automation?  - What governance ensures safety and reliability?  From our vantage point, this is exactly where the opportunity lies. AI agents will be most successful in environments where **context, outcomes, and human workflows** are well understood — which is why Customer Success, with its defined processes and measurable business results, is such fertile ground.    **📊 High-Performing AI Organizations Redesign Their Workflows**    McKinsey found that organizations capturing the most value from AI are those willing to **rethink processes**, not just plug AI into old patterns. This is particularly resonant in Customer Success.    AI’s impact is limited when it’s bolted onto legacy motions, but transformative when teams reshape how they identify risk, manage accounts, forecast renewals, or orchestrate customer engagement.    The lesson is clear across industries: **AI success isn’t just a technology strategy — it’s an operational strategy.**    **🔐 Governance, Transparency, and Trust Remain Essential**    Another theme from the report is the growing focus on responsible AI. Accuracy, reliability, compliance, and human oversight are all becoming central concerns as AI grows more embedded in everyday workflows.  In the CS space, where decisions directly affect revenue and customer relationships, trust is paramount.   Organizations will increasingly prefer AI systems that:  - Explain their reasoning  - Provide clear evidence or context  - Support human-in-the-loop decision-making  This aligns with a broader industry shift toward **transparent, accountable AI** rather than purely generative output.    **🚀 Final Thoughts: The Industry Is Converging on What Really Matters**    What we take from McKinsey’s report is not hype — but maturity.    Across sectors, companies are discovering that:  - Clean, connected data matters  - Workflow design matters  - Explainability matters  - Human adoption matters  - Long-term value comes from integration, not experimentation  For those of us building AI for Customer Success, this is encouraging. It means the market is aligning around principles that make AI more reliable, more actionable, and ultimately more impactful.    The AI landscape is evolving quickly — but it’s evolving in the right direction. And for teams committed to thoughtful, responsible, outcome-driven innovation, the future looks incredibly promising.  ![](https://tingono.ai/blog/Marketplace/inboundplace/Card_Based_Blog/Images/placeholder_200x200.png) ### Popular Stories [10 Must Read LinkedIn Posts: Customer Success (Mar 2023)](https://tingono.ai/blog/10-must-read-linkedin-posts-customer-success-mar-2023) Apr 04, 2023 [Reactive to Proactive: How Generative AI Is Reshaping CSM Workflows](https://tingono.ai/blog/reactive-to-proactive-how-generative-ai-is-reshaping-csm-workflows) Jul 11, 2025 [The rise and (totally unnecessary) burnout of Customer Success](https://tingono.ai/blog/the-rise-and-totally-unnecessary-burnout-of-customer-success) Aug 01, 2022 ### Popular Tags [Revenue Growth](https://tingono.ai/blog/topic/revenue-growth) [AI / ML](https://tingono.ai/blog/topic/ai-ml) [Customer Retention](https://tingono.ai/blog/topic/customer-retention) [GTM](https://tingono.ai/blog/topic/gtm) [SaaS](https://tingono.ai/blog/topic/saas) [Business Data](https://tingono.ai/blog/topic/business-data) [Customer Expansion](https://tingono.ai/blog/topic/customer-expansion) [Business Metrics](https://tingono.ai/blog/topic/business-metrics) [Automation](https://tingono.ai/blog/topic/automation) [Data](https://tingono.ai/blog/topic/data) [Churn](https://tingono.ai/blog/topic/churn) [startup](https://tingono.ai/blog/topic/startup) [Hiring](https://tingono.ai/blog/topic/hiring) [Risks](https://tingono.ai/blog/topic/risks) [SOC 2](https://tingono.ai/blog/topic/soc-2) [Security](https://tingono.ai/blog/topic/security) [Previous Post](https://tingono.ai/blog/the-hidden-cost-of-model-drift-why-ongoing-ai-maintenance-matters) ##### [The Hidden Cost of Model Drift: Why Ongoing AI Maintenance Matters](https://tingono.ai/blog/the-hidden-cost-of-model-drift-why-ongoing-ai-maintenance-matters) [Next Post](https://tingono.ai/blog/preparing-your-database-for-the-ai-agent-revolution) ##### [Preparing Your Database for the AI & Agent Revolution](https://tingono.ai/blog/preparing-your-database-for-the-ai-agent-revolution) Connect [![Share on linkedin](https://tingono.ai/hubfs/linkedin-color.png) ](https://www.linkedin.com/company/tingono) [![Share on twitter](https://tingono.ai/hubfs/twitter-color.png) ](https://twitter.com/tingono_ai) [![Share on facebook](https://tingono.ai/hubfs/facebook-color.png) ](https://www.facebook.com/TingonoAI) [![Share on email](https://tingono.ai/hubfs/email-color.png) ](mailto:hello@tingono.com) [![Share on rss](https://tingono.ai/hubfs/rss-color.png) ](https://www.tingono.com/blog/rss.xml) [Terms of Use](https://www.tingono.com/terms) [Privacy Policy](https://www.tingono.com/privacy) © 2022 Tingono Inc. 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