Gartner Report Innovate Business Models Using Ai Agents

Bonisiwe Shabane

-Dec 28, 2025, 12:32 PM

gartner report innovate business models using ai agents

Harnessing AI Agents for Agentic Process Automation: Your Strategy for an Autonomous Enterprise Agentic Process Automation (APA) is revolutionizing enterprise operations by enabling the automation of up to 80% of tasks, thereby enhancing processing speed, intelligence, and cost-efficiency. At the heart of this transformative technology are AI agents, each with unique capabilities crucial for comprehensive automation. The Gartner report, “Innovate Business Models Using AI Agents for Digital Leaders,” highlights the critical role of strategically deploying these diverse AI agents to maximize their potential within the APA framework. In our view this report offers an in-depth exploration of various AI agents and provides a strategic framework for their selection and integration, tailored to meet specific business needs. By aligning the unique strengths of AI agents with organizational goals, enterprises can boost operational efficiency, drive innovation, and secure a competitive edge.

For leaders aiming to propel their organizations toward full autonomy we feel, this Gartner report is essential. We deem, it delivers detailed guidance on managing the complexities of AI agent technologies and crafting strategies that support the objectives of an autonomous enterprise. In our opinion, read the full Gartner report to grasp the strategic deployment of AI agents vital for enhancing your APA initiatives and discover how to leverage their capabilities to automate up to 80%... Appian Named a Leader in the 2025 Gartner® Magic Quadrantᵀᴹ for Business Orchestration and Automation Technologies (BOAT). Appian Named a Leader in the 2025 Gartner® Magic Quadrantᵀᴹ for Business Orchestration and Automation Technologies (BOAT). Appian Named a Leader in the 2025 Gartner® Magic Quadrantᵀᴹ for Business Orchestration and Automation Technologies (BOAT).

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Get instant answers to complex questions. AI Agent Adoption Set to Reshape Business Models by 2028 AI agents are becoming a cornerstone of digital transformation strategies. Gartner forecasting that 33% of enterprise software applications will feature agentic AI by 2028: up from less than 1% in 2024. These intelligent systems are increasingly deploying not only for automation but also for strategic business model innovation, particularly by addressing customer journey pain points and uncovering new growth opportunities. Unlike traditional generative AI tools, AI agents are designed to autonomously analyze, decide, and act within dynamic business environments.

Digital leaders now encouraged to integrate AI agents into strategic planning to differentiate themselves from competitors and improve operational efficiency. By leveraging tools like customer journey mapping, organizations can identify friction points and implement AI-agent-driven solutions to streamline processes and enhance customer experience. To successfully capitalize on AI agents, businesses should follow a six-step framework: define strategic goals, map customer touchpoints, identify pain points, explore AI-powered solutions, manage organizational change, and evaluate outcomes through performance metrics. This methodical approach helps ensure that AI agent integration delivers measurable value while mitigating implementation risks. AI agents come in various forms—including reflex, goal-based, utility-based, learning, hierarchical, and collaborative agents—each suited to specific use cases. These agents can operate with varying degrees of human interaction, from human-in-the-loop to fully autonomous models.

In complex environments, multiagent systems offer scalability and resilience by distributing tasks across coordinated agents. By 2028, AI agents will autonomously handle 15% of daily business decisions up from zero percent in 2024, according to research by Gartner®. How can you prepare for this shift? This Gartner® report provides a 6-step framework for agentic-AI-powered business model innovation, including: 🗺️ Mapping customer journeys to uncover AI opportunities ⚙️ Deploying AI agents to automate and optimize key touchpoints 🤝 Managing change... Read the full report at the link below. #AIAgents #BusinessGrowth #InnovationFramework

4.2x ROI gap: Why your competitors' AI strategy is crushing yours while you're stuck with generic solutions. In 2025, the AI implementation divide is widening fast. Forward-thinking companies are seeing dramatic returns by deploying industry-specific AI solutions rather than one-size-fits-all approaches. The verified numbers from Microsoft/IDC research tell the story: • Financial services firms: 4.2x ROI on tailored AI initiatives • Retailers: 3.6x ROI through customised AI • Manufacturers: 3.4x ROI from sector-specific AI solutions... Customised solutions outperform generic alternatives because they're built to understand your industry's unique processes, regulatory landscape, and operational nuances. While 65% of Global 2000 companies across Europe now use generative AI, only those with industry-tailored approaches capture maximum value.

At Veritern, we specialise in helping businesses identify high-impact opportunities for industry-specific AI implementation. Our tailored approach ensures you're not just adopting technology – you're deploying strategic tools that directly impact your bottom line. Here's how to start: • Audit current AI tools – identify generic solutions underdelivering • Map industry-specific pain points – regulatory, operational, customer-facing • Pilot sector-tailored AI in one high-impact area – measure against... Book your strategic AI consultation this week. #AIStrategy #DigitalTransformation #ROI #EnterpriseAI #IndustryAI #BusinessGrowth Fortune published AIQ 50, a new ranking that evaluates how Fortune 500 companies are actually deploying AI, and how technology leaders value those investments relative to industry peers.

The ranking is a record of how 18 sectors across the Fortune 500, including financials, health care, and retailing, are utilizing AI to personalize customer experiences, provide groundbreaking data analysis, optimize supply chains, and... https://lnkd.in/dpTVnZ3R Traditional ROI analysis takes weeks Culturefy’s Robi® delivers it in real time. Robi turns performance data into instant strategic recommendations so leaders can act faster and smarter. With Robi®, you don’t wait for insights you work with them. According to Deloitte, 79% of executives say AI adoption improves efficiency and decision speed but only those who operationalize it see measurable ROI.

Source: Deloitte State of AI in the Enterprise 2024 https://loom.ly/A-G_BI4 #Culturefy #Robi #AIExecution #ROI #BusinessGrowth #DigitalTransformation 🚀 Accelerating Enterprise AI Adoption – A Strategic Framework AI adoption in enterprises is not a one-size-fits-all journey. Inspired by research from McKinsey, BCG, and IDC, I came across a structured Enterprise AI Sales Framework that clearly maps the path from early exploration to full transformation. I visualized this framework into an infographic (with Gemini/Canvas) 🔍 It combines: A 5-level AI Maturity Model A 4-stage Sales Motion: Discover → Design → Deliver → Develop Strategic success factors like dual-track engagement,... Research firm Gartner has named Agentic AI the top tech trend for 2025. The term describes autonomous machine "agents" that move beyond query-and-response generative chatbots to do enterprise-related tasks without human guidance.

Of course, the idea of AI agents doing things on their own conjures up fears of HAL 9000 and Terminator, for just two movie examples, and Gartner noted challenges in the space, advising that... More realistic challenges that the firm has listed elsewhere include: The business benefit, meanwhile, is: "a virtual workforce of agents to assist, offload and augment the work of humans or traditional applications." The report follows moves by cloud giants Microsoft and Google in the field. It lists common enterprise use cases for agentic AI: Microsoft is recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for AI Application Development Platforms and is positioned furthest for Completeness of Vision.

This leadership reflects a long‑term conviction: the next wave of applications is agentic, and real customer impact requires far more than great demos. Organizations need agents grounded in real data and tools, capable of driving business workflows, and governed with end‑to‑end observability at scale. Our investment in agent frameworks, orchestration, and enterprise‑grade governance is how we make that full journey real and practical for every customer. Gartner evaluates vendors on two dimensions: Completeness of Vision (where the platform is headed) and Ability to Execute (whether it can deliver today). Being positioned furthest on vision isn’t about having the boldest roadmap: it’s about whether that vision translates into the real capabilities customers need for the future of AI. Microsoft Foundry is our unified platform for building, deploying and governing AI applications—and over the past year, we’ve focused it on four areas that customers tell us separate production AI from proof-of-concept:

With these pillars in place, Foundry delivers everything organizations need to build AI applications and multi-agent systems at scale. That’s why we’ve ensured it works seamlessly with the tools developers and businesses use most. Foundry integrates deeply with development tools including Visual Studio Code, GitHub, Azure, and productivity tools such as Microsoft 365, Microsoft Teams, and the broader enterprise stack. This year, Microsoft adopted a fundamentally new approach for preparing our submission for AI Application Development Platforms. Instead of relying on manual data gathering and coordination, our team developed custom agents designed to collect, organize, and validate all the information required for the evaluation.

Gartner Report Innovate Business Models Using Ai Agents

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