Skip to content
MKTGAGENT.AI MKTGAGENT.AI
Blog

Blog

Pipefy Launches Solution that Turns AI Conversations Into Workflows

William Gu
William Gu
Marketing AI Team @ MKTGAGENT.AI

Pipefy Unveils ‘Process-as-Tool’: Revolutionizing AI Conversations into Automated Workflows

In a groundbreaking move for business automation, Pipefy has introduced a novel solution that transforms AI-driven conversations into seamlessly executed workflows. This innovative feature empowers companies to link AI interactions—whether they’re using assistants like Claude, Copilot, or others—directly with their operational processes.

What is the New Feature?

Pipefy’s latest offering centers around what they call ‘Process-as-Tool.’ This technology enables the AI to do more than simply analyze data; it allows for direct action within designated workflows according to predefined business rules. Through natural language commands, users can initiate and complete tasks, all while maintaining compliance and a clear audit trail.

Transforming Enterprise Workflow Management

This advancement signifies a shift in how organizations integrate AI into their daily operations. Instead of AI serving solely as an information resource, it now becomes an active participant that executes business processes securely and transparently. For enterprises—particularly in Latin America, where the solution addresses local regulatory requirements—this means heightened efficiency and governance in process management.

How It Works

The solution ties conversational AI with operational governance, ensuring that every step taken by the AI follows business protocols and compliance mandates. This integration simplifies complex workflows, reduces manual intervention, and accelerates task completion without compromising oversight.

Key Insights

  • How does this solution impact operational workflows? It enables AI assistants to perform actions within workflows, moving beyond passive data access to active process execution.
  • What industries could benefit the most? Enterprises with complex, rule-driven processes, especially those in regulated markets like Latin America, will find valuable applications.
  • How does it maintain compliance? By embedding audit trails and governance checks within every workflow step initiated by AI.
  • What’s the significance of natural language commands? They allow users to interact intuitively with workflows, lowering the barrier to automation adoption.

Conclusion

Pipefy’s ‘Process-as-Tool’ solution marks a new era in AI and business process management. By bridging conversational AI directly with workflow orchestration under strict governance, enterprises gain a powerful tool to streamline operations while ensuring compliance. This innovation not only positions Pipefy as a leader in AI-driven workflow automation but also opens new possibilities for enterprises aiming to leverage AI’s full potential in business process execution.

Source: https://martechseries.com/predictive-ai/ai-platforms-machine-learning/pipefy-launches-solution-that-turns-ai-conversations-into-workflows/

Publisher Problems, DSP Solutions; Who’s Tagging Out?

William Gu
William Gu
Marketing AI Team @ MKTGAGENT.AI

Publisher Problems, DSP Solutions; Who’s Tagging Out? An In-Depth Look at the Shifting Ad Tech Landscape

Introduction

The digital advertising sector continues to evolve rapidly, with recent developments highlighting new collaborations and challenges for publishers and Demand-Side Platforms (DSPs). This article explores the emergence of Viant’s Publisher Solutions (VPS), the waning influence of the Trusted Accountability Group (TAG), and the larger impact of AI token pricing on advertising strategies amid global uncertainties.

Viant’s Publisher Solutions: A New Model for Data Integration

Viant has launched Publisher Solutions (VPS), a significant advancement allowing direct data integration between DSPs and media companies, particularly in the Connected TV (CTV) space. This approach is designed to benefit publishers by eliminating costs typically associated with data sharing, contrasting notably with The Trade Desk’s OpenPath, which involves fees.

By facilitating seamless, cost-free connections, VPS aims to enhance the efficiency and effectiveness of programmatic advertising in CTV environments, where monetization and audience targeting remain critical concerns.

The Decline of TAG and Industry Accreditation Shifts

Trusted Accountability Group (TAG), once a key player in advertising accreditation, is experiencing a decline as major industry stakeholders like Google, The Trade Desk (TTD), and Procter & Gamble withdraw support. The overlapping nature of TAG’s accreditation with the more expensive Media Ratings Council (MRC) certifications has led these organizations to reconsider their commitments.

This shift could signal an industry pivot towards streamlined, cost-effective accreditation processes or the emergence of new standards better aligned with current advertising demands.

The Influence of AI Token Pricing on Advertising

In addition to structural changes in data integration and accreditation, the pricing wars among AI token providers such as OpenAI and Anthropic are impacting advertising. Lower AI token costs could make advanced AI tools more accessible to advertisers, potentially increasing adoption rates and influencing profitability.

Corporations are closely monitoring these developments as they consider AI integration for data analysis, customer engagement, and campaign optimization amid tight marketing budgets.

Challenges in Global Advertising Investment

The global advertising market faces persistent challenges, notably due to geopolitical tensions and crises in the Gulf region. These events contribute to uncertainty in investment decisions, affecting overall growth and strategies in advertising sectors worldwide.

Key Insights

  • What advantages does Viant’s VPS offer to publishers and DSPs? It enables direct, cost-free data integration, improving efficiency, particularly in the lucrative CTV market.
  • Why is TAG losing relevance among major advertisers? Overlap with pricier MRC accreditations and withdrawal by leading companies reduce TAG’s perceived value.
  • How could AI token pricing shape future advertising practices? More affordable AI tokens from competitors like OpenAI and Anthropic could enhance corporate AI usage and profitability.
  • What external factors are influencing global advertising investments? Ongoing geopolitical crises, especially in the Gulf, create an unstable environment for growth.

Conclusion

The advertising industry is navigating a complex period of transformation with new technological offerings, accreditation realignments, and external economic pressures. Viant’s VPS introduces a potentially cost-saving data solution for publishers and DSPs, while the fading role of TAG invites questions about future standards. Meanwhile, the evolution of AI token pricing could redefine marketing capabilities and cost structures. Advertisers and media firms alike must adapt to these changes to sustain growth and effectiveness in an unpredictable global landscape.

Source: https://www.adexchanger.com/daily-news-roundup/friday-12062026/

The Automation Era Is Over. Agent Empowerment Is What Comes Next.

William Gu
William Gu
Marketing AI Team @ MKTGAGENT.AI

Embracing the Future: Why Agent Empowerment Replaces Automation in Customer Service

Customer service is undergoing a significant transformation. The long-held era of automation dominance is coming to an end, making way for a new paradigm centered on agent empowerment through advanced AI technologies. This shift not only changes how businesses interact with customers but also redefines the role of agents, enabling more personalized and effective service.

The End of Pure Automation

Automation once promised efficiency by handling routine interactions and reducing costs. However, complex customer needs and situations have revealed the limitations of purely automated systems. Customers increasingly require nuanced solutions and empathetic engagement that simple automation can’t provide.

Embedding AI Directly into Workflows

A key strategy for enhancing service effectiveness is integrating AI tools directly into agent workflows. Instead of replacing human agents, AI acts as a supportive tool that provides real-time insights, recommendations, and decision aids. This enhances agents’ ability to resolve issues quickly and with greater accuracy.

Redesigning the Agent’s Role

The future agent is empowered to focus more on decision-making and personalized customer interactions rather than repetitive data entry and standard responses. This redesign fosters greater job satisfaction and encourages agents to become proactive problem solvers.

Leveraging Customer Interactions for Business Insights

Every service interaction holds valuable insights that businesses can analyze to improve processes, products, and customer experiences. Empowered agents can contribute these insights through AI systems that capture and learn from each customer exchange.

Creating a Continually Learning Support System

The move towards agent empowerment promotes the development of AI that continuously learns and evolves based on real-world interactions. This system not only improves with time but also helps agents handle increasingly complex queries.

Key Insights

  • Why is the automation era ending? Because customer interactions demand more complexity and empathy than automation alone can provide.
  • How does AI empower agents? By embedding AI tools into daily workflows, agents become better equipped to make decisions and personalize service.
  • What role do customer interactions play? They serve as rich sources of data to refine business strategies and improve overall customer satisfaction.
  • What benefits arise from a continuously learning support system? It ensures that both agents and AI evolve together to handle future challenges more effectively.

Conclusion

The shift from automation to agent empowerment represents a significant opportunity for businesses to enhance customer service quality. By investing in AI-enabled workflows, redefining agent roles, and leveraging data from service interactions, organizations can foster a proactive engagement model that prioritizes personalization and problem-solving. This evolution moves customer service beyond a cost center into a strategic advantage that drives satisfaction and loyalty.

Source: https://www.cmswire.com/customer-experience/four-moves-to-help-turn-ai-into-a-force-multiplier-for-service-teams/?utm_source=cmswire.com&utm_medium=web&utm_campaign=cm&utm_content=all-articles-rss

The Benefits of Preparing Your Website for Generative Search Engines

William Gu
William Gu
Marketing AI Team @ MKTGAGENT.AI

Preparing Your Website for the Era of Generative Search Engines

The landscape of online search is rapidly evolving. Generative search engines are changing how users find information and how websites gain visibility. Unlike traditional search engines that provide links to web pages, generative search synthesizes answers directly on the search results page, pulling from multiple sources to present concise, accurate information. This shift poses new challenges and opportunities for website owners aiming to stay relevant and authoritative.

Generative search refers to AI-powered search tools that generate direct responses to queries instead of just presenting ranked lists of websites. These engines analyze and compile data from a variety of trusted sources, then create synthesized answers for users.

This type of search changes the dynamic of web traffic. Instead of users clicking through multiple search results, they often receive instant answers right on the search page itself. Because of this, it’s essential for websites to be seen as credible and clearly interpretable by AI models powering these search engines.

Why Website Preparation Matters

To thrive in the era of generative search, websites must be optimized not only for traditional SEO but also for AI understanding. Websites that are well-structured, easy to parse, and packed with accurate, useful content are far more likely to be cited as sources in generative search results.

Key preparation areas include:

  • Creating specific, high-quality content: Detailed and specialized content helps AI models recognize your site as an authoritative resource.
  • Enhancing clarity and trust: Demonstrating expertise and citing credible sources builds trustworthiness.
  • Using structured data: Proper use of schema markup and structured data formats allows AI to better interpret your content’s meaning.

Benefits of Being AI-Ready

Websites prepared for generative search gain several advantages:

  • Increased visibility on search pages as a referenced source.
  • Enhanced authority and trustworthiness in your niche.
  • Potentially higher traffic not only from generative search but also from improved traditional SEO rankings.

Key Insights

  • What is the key difference between generative and traditional search? Generative search synthesizes answers by aggregating information from multiple sources, whereas traditional search ranks and displays links.
  • How does website structure influence AI visibility? Clear, well-organized content helps AI interpret and trust your site as a reliable source.
  • What content strategies improve generative search performance? Focus on specificity, expertise, and the inclusion of verifiable citations.
  • Does preparing for generative search affect traditional SEO? Yes, being clear and authoritative often improves rankings in traditional search as well.

Conclusion

As generative search engines redefine online information retrieval, preparing your website for this new paradigm is crucial. By focusing on high-quality, well-structured, and trustworthy content, you position your site to be a preferred source for AI-powered search results. This not only boosts your visibility and authority but also future-proofs your online presence in an increasingly AI-driven world.

Source: https://storylab.ai/benefits-preparing-website-for-generative-search-engines/

The martech categories hit hardest by AI agents

William Gu
William Gu
Marketing AI Team @ MKTGAGENT.AI

As artificial intelligence agents become increasingly integral to marketing technology, new challenges are emerging for the Martech landscape. A recent SaaStr API report card has shed light on how the evolution of AI agents is testing the robustness of platforms’ API infrastructures. This analysis not only signals potential vulnerability for legacy SaaS companies but also points to those best positioned for future success.

The Importance of API Infrastructure in AI-Driven Automation

APIs, or Application Programming Interfaces, are the critical connectors that enable software platforms to communicate and automate functions efficiently. The SaaStr report evaluated 152 B2B APIs, revealing that platforms with weaker API infrastructures are more susceptible as AI agents mature and demand deeper integration.

Legacy marketing automation tools such as Marketo and Gainsight have scored poorly on API effectiveness, raising questions about their capacity to keep pace with rapidly evolving AI ecosystems. In contrast, companies like OpenAI and Anthropic showcase APIs designed for streamlined programmatic access, offering them a considerable edge.

Legacy SaaS Platforms at Risk

Many traditional SaaS marketing platforms face obstacles due to outdated API designs that complicate or limit automation capabilities. This situation places these companies at risk of obsolescence if they fail to modernize their technology stacks. Businesses currently relying on such platforms should scrutinize their marketing stacks for “agent readiness,” focusing on whether their infrastructure supports seamless AI integration.

Transitioning Toward API-Forward Solutions

For marketers and enterprises, the key takeaway from the SaaStr report is the necessity of transitioning to API-forward platforms that facilitate automation and adaptability. Prioritizing platforms with strong, well-documented APIs will be crucial in maintaining competitive advantage and operational efficiency.

Key Insights

  • Why do APIs matter more with the rise of AI agents? APIs enable the automation and interaction capabilities that AI agents depend on, making strong API infrastructure essential for platform relevance.
  • Which Martech categories are most vulnerable? Marketing automation tools with poor API support are at highest risk of becoming obsolete.
  • What should practitioners do now? Evaluate current marketing stacks for API strength and readiness for AI integration; consider migrating to platforms with superior API access.
  • Who is leading with API design? Companies like OpenAI and Anthropic set the standard with APIs designed for efficient programmatic use.

Conclusion

As AI agents continue to shape the marketing technology ecosystem, the strength and flexibility of API infrastructures will determine platform survival and success. Marketers and businesses must act promptly to assess their current technologies and invest in API-forward solutions to remain competitive in this rapidly evolving landscape. The future favors those who embrace automation agility and prioritize seamless AI integration in their Martech strategies.

Source: https://martech.org/the-martech-categories-hit-hardest-by-ai-agents/