Top Microsoft AI Agent Solutions for SaaS Founders in 2026: A Comprehensive Guide

Table of Contents

TL;DR

Microsoft offers a powerful suite of AI agent solutions for B2B SaaS founders in 2026, including Azure OpenAI, Microsoft Copilot, and Power Platform tools. These solutions drive efficiency, enhance customer experiences, and accelerate product development by automating tasks, personalizing outreach, and providing intelligent insights. Leveraging these tools strategically can unlock significant growth and a sustainable competitive advantage.

Key Takeaways

Microsoft’s AI agent ecosystem, powered by Azure AI and integrated across its product suite, provides robust solutions for SaaS businesses in 2026.
Key solutions include Azure OpenAI Service for custom agent development, Microsoft Copilot for enhanced productivity and business process automation, Power Virtual Agents for intelligent chatbots, and Dynamics 365 AI for sales and customer service.
SaaS companies can strategically apply these agents to revolutionize AI marketing, outreach automation, customer support, product innovation, and internal operations.
Successful adoption hinges on addressing challenges like data quality and integration, with best practices emphasizing clear objectives and iterative implementation.
Microsoft’s integrated approach, enterprise-grade security, and scalability offer distinct advantages over competing platforms.
Partnering with expert AI consultants like MSH is crucial for navigating complexity, maximizing ROI, and future-proofing your AI strategy.
The strategic integration of AI agents is no longer optional but essential for SaaS businesses aiming for sustained competitive advantage and innovation in 2026.

Introduction: Unlocking SaaS Growth with Microsoft AI Agents in 2026

The landscape of business operations is undergoing a profound transformation, largely driven by the rapid evolution of artificial intelligence. At the forefront of this revolution are AI agents, sophisticated software entities capable of performing complex tasks autonomously. In 2026, understanding and implementing these intelligent agents is no longer a matter of competitive edge, but a necessity for survival and growth, particularly for B2B SaaS founders.

The Rise of AI Agents in Business Transformation

AI agents represent a significant leap beyond traditional automation. While automation tools typically follow pre-defined rules, AI agents can perceive their environment, make decisions, learn from experience, and take actions to achieve specific, often complex, goals. This shift from rule-based processes to autonomous, goal-oriented systems is fundamentally reshaping how businesses operate, driving unprecedented levels of efficiency, innovation, and personalized engagement. For SaaS founders, this means new opportunities to streamline operations, delight customers, and outpace competitors.

Why Microsoft is a Key Player in the AI Agent Landscape

Microsoft has strategically positioned itself as a dominant force in the AI agent space, leveraging its extensive ecosystem to provide a comprehensive foundation for these intelligent systems. Its robust cloud infrastructure, Azure, offers scalable compute and advanced AI services, including the powerful Azure OpenAI Service. Furthermore, integrations across Microsoft 365, Dynamics 365, and the Power Platform enable AI agents to seamlessly interact with existing business workflows and applications. Microsoft’s substantial investment in AI research and development ensures its platforms are at the cutting edge, making its solutions a natural choice for SaaS businesses already invested in the Microsoft ecosystem or seeking enterprise-grade, integrated AI capabilities.

What SaaS Founders Can Expect from This Guide

This guide is designed to equip B2B SaaS founders with a clear understanding of Microsoft’s AI agent solutions and their strategic implications for 2026. We will demystify what AI agents are, explore the core technologies powering them, and detail the top Microsoft solutions available. Crucially, we will delve into practical applications across marketing, customer support, product development, and operations. You’ll learn about implementation best practices, potential challenges, and how partnering with experts like MSH can help you navigate this complex but rewarding technological frontier.

Demystifying Microsoft AI Agents: What They Are and How They Work

To effectively leverage Microsoft’s AI agent capabilities, it’s essential to grasp the fundamental concepts and underlying technologies. This section breaks down what constitutes an AI agent within the Microsoft ecosystem and the key components that bring them to life.

Defining AI Agents in the Microsoft Ecosystem

An AI agent is an autonomous software entity capable of perceiving its environment, making intelligent decisions, and taking actions to achieve specific goals. Within the Microsoft ecosystem, these agents are built upon a foundation of advanced AI services, including large language models (LLMs), machine learning, and natural language processing, often integrated seamlessly into familiar applications. Microsoft’s approach allows for a spectrum of agents, from highly specialized task-oriented bots to more general-purpose assistants that can adapt and learn.

These agents can be categorized by their operational paradigms:

Reactive Agents: These agents respond directly to current environmental stimuli without memory of past events. They are excellent for immediate, rule-based responses.
Deliberative Agents: These agents maintain an internal model of the world, allowing them to plan actions based on past experiences and future predictions. They are more sophisticated and capable of complex problem-solving.
Hybrid Agents: Combining the strengths of both reactive and deliberative approaches, these agents can respond quickly to immediate needs while also employing planning and reasoning for long-term objectives. Microsoft’s solutions often support these more advanced hybrid models.

Key Technologies Powering Microsoft’s AI Agents

Microsoft’s AI agent capabilities are built on a robust and interconnected suite of technologies, providing a powerful platform for innovation and deployment.

Azure AI Services: This umbrella term encompasses a vast array of AI capabilities. Azure OpenAI Service provides access to powerful LLMs like GPT-4 for advanced natural language understanding, generation, and reasoning. Other Azure Cognitive Services offer pre-built AI models for vision, speech, language, and search, which can be integrated into agents for specialized functions.
Microsoft Power Platform: This low-code/no-code platform is crucial for democratizing AI agent development. Power Virtual Agents (now part of Copilot Studio) allows users to build sophisticated chatbots and conversational agents with minimal coding. Power Automate enables the creation of automated workflows that can be triggered by or interact with AI agents, connecting AI actions to broader business processes.
Microsoft Fabric: For agents requiring deep data insights and real-time analytics, Microsoft Fabric offers a unified data analytics platform. It brings together data engineering, data science, and business intelligence, providing a single source of truth and a robust data backbone that empowers AI agents to make more informed, data-driven decisions and generate comprehensive reports.

The Model Context Protocol (MCP) and Agent Interoperability

While Microsoft’s ecosystem offers powerful native integration, the broader AI landscape is moving towards standardized communication protocols for enhanced interoperability. Model Context Protocol (MCP), an open standard developed by Anthropic, aims to facilitate communication and interaction between different AI agents and models. While Microsoft’s proprietary solutions are highly integrated, understanding protocols like MCP is increasingly important for SaaS founders looking to build complex, multi-agent systems that might involve components from various providers. Microsoft’s commitment to open standards and its investment in AI research suggest that its platforms will continue to evolve to support enhanced interoperability, allowing agents to collaborate more effectively across diverse environments.

Strategic Applications: How SaaS Businesses Leverage Microsoft AI Agents

The power of Microsoft’s AI agent solutions lies in their versatility. SaaS founders can apply these intelligent systems across their entire value chain to drive significant improvements and gain a competitive edge in 2026.

Enhancing AI Marketing & Outreach Automation

In the competitive SaaS landscape, effective marketing and outreach are critical. AI agents can revolutionize these functions by adding scale, personalization, and efficiency.

Personalized Content Generation: Imagine AI agents that can analyze customer data and market trends to craft highly targeted blog posts, social media updates, and email sequences. These agents can adapt tone, style, and messaging to resonate with specific audience segments, leading to higher engagement rates.
Automated Outreach: For B2B SaaS, personalized outreach is key. AI agents can manage email deliverability, intelligently schedule follow-up communications, and personalize cold outreach at scale, ensuring prospects receive relevant messages at the right time. This frees up sales teams to focus on building relationships and closing deals. For more on this, explore our insights on AI marketing consultancy guide.
SEO Strategy Optimization: AI agents can continuously monitor search engine results pages (SERPs), identify emerging keyword opportunities, analyze competitor content strategies, and suggest improvements to your own content to boost organic rankings. This proactive approach ensures your SaaS product remains visible and discoverable. Check out our guide on best SEO tools for small business 2026 for complementary strategies.

Struggling with content at scale? If you need to generate personalized marketing assets for diverse SaaS customer segments but lack the bandwidth, explore our AI marketing services to see how we build custom AI solutions for growth.

Streamlining Customer Support and Experience

Exceptional customer support is a hallmark of successful SaaS companies. AI agents can elevate customer experience by providing instant, personalized, and proactive assistance.

24/7 Intelligent Chatbots: Deploy AI-powered chatbots on your website and within your application to handle common customer queries, troubleshoot issues, and provide instant support around the clock. This significantly reduces support load and improves response times.
Proactive Customer Service: AI agents can monitor user behavior and system performance to identify potential issues before they impact the customer. For instance, an agent might detect a user struggling with a specific feature and proactively offer in-app guidance or support resources.
Personalized User Onboarding: AI can guide new users through the onboarding process, offering tailored tutorials, feature highlights, and support based on their role and initial interactions with your SaaS product, leading to faster adoption and higher retention rates.

Accelerating Product Development and Innovation

The speed of innovation is a critical differentiator in the SaaS market. AI agents can significantly accelerate the product development lifecycle.

Code Generation and Assistance: AI agents can assist developers by generating code snippets, suggesting optimizations, identifying potential bugs, and even automating parts of the testing process. This speeds up development cycles and improves code quality. For deeper dives into this area, consider our article on AI-powered web development services for SaaS founders.
Feedback Analysis and Feature Suggestion: AI can process vast amounts of user feedback, support tickets, and market data to identify patterns, highlight popular feature requests, and suggest new product improvements or entirely novel features, guiding your product roadmap with data-driven insights.
Rapid Prototyping: AI agents can help quickly generate prototypes or mockups for new features, allowing product teams to iterate and test ideas more rapidly before committing significant development resources.

Optimizing Internal Operations and Employee Productivity

Beyond customer-facing functions, AI agents can transform internal operations, freeing up employees from mundane tasks and enhancing overall efficiency.

Automating Repetitive Tasks: AI agents can take over time-consuming administrative duties such as data entry, report generation, scheduling, and expense management, allowing employees to focus on higher-value strategic work.
Intelligent Internal Assistants: Deploy AI assistants for HR to manage policy inquiries and onboarding, for finance to assist with budgeting and reporting, or for IT to handle common helpdesk requests, improving internal service delivery.
Knowledge Management: AI-powered search and summarization tools can make it easier for employees to find information within company documentation and internal knowledge bases, improving collaboration and decision-making. Learn more about general AI Agents: Save 100+ Hours in 2026.

Navigating Implementation: Challenges, Best Practices, and MSH’s Expertise

While the potential of Microsoft AI agents is immense, successful adoption requires strategic planning and a clear understanding of potential challenges.

Common Challenges in AI Agent Adoption for SaaS

SaaS founders should be aware of the common hurdles they might encounter when integrating AI agents into their operations.

Data Quality and Availability: AI agents learn from data. If your data is incomplete, inaccurate, or siloed, the agents’ performance will be suboptimal. Ensuring clean, structured, and accessible data is a foundational requirement.
Integration Complexities: Connecting AI agents with existing legacy systems, diverse software stacks, and third-party applications can be technically challenging. Seamless integration is key to unlocking the full potential of these agents.
Ethical Considerations & Bias: AI agents can inadvertently perpetuate biases present in their training data, leading to unfair or discriminatory outcomes. Ensuring fairness, transparency, and accountability in agent behavior is crucial.
Scalability & Cost Management: As your AI agent usage grows, so do infrastructure needs and operational costs. Careful planning for scalability and continuous optimization of resource utilization is necessary to manage expenses effectively.

Best Practices for Successful Microsoft AI Agent Deployment

To mitigate these challenges and ensure a smooth adoption process, consider these best practices:

Start Small with Pilot Projects: Begin with a well-defined, manageable pilot project to test the waters, learn from early experiences, and demonstrate value before a broader rollout.
Define Clear Objectives and KPIs: Establish specific, measurable, achievable, relevant, and time-bound (SMART) goals for your AI agent initiatives. Track key performance indicators (KPIs) to measure success and identify areas for improvement.
Prioritize Data Governance and Security: Implement robust data governance policies and security protocols from the outset to ensure data privacy, integrity, and compliance.
Foster a Culture of AI Adoption: Educate your team about the benefits of AI agents and provide training to encourage adoption and collaboration. Continuous learning and adaptation are key in the rapidly evolving AI landscape.

Partnering with MSH for End-to-End AI Strategy & Development

Navigating the complexities of AI agent implementation, from strategy to deployment and optimization, can be daunting for busy SaaS founders. This is where expert guidance becomes invaluable. At MSH (Techno Believe Solutions), we specialize in AI and technology consulting, offering end-to-end AI product development services tailored for B2B SaaS businesses.

Our team helps you identify the most impactful AI agent solutions within the Microsoft ecosystem, aligning them with your unique business objectives. We assist in overcoming integration challenges, ensuring data quality, and developing custom AI agents when off-the-shelf solutions aren’t sufficient. Whether you need to enhance your AI marketing and outreach automation, streamline customer support with intelligent chatbots, or accelerate product innovation with AI-driven development, MSH provides the expertise to make it happen. We focus on delivering tangible ROI through tailored AI strategies and robust development, ensuring your SaaS business is equipped for the future.

Ready to implement AI agents? If you’re looking for a strategic partner to navigate Microsoft’s AI offerings and build custom solutions for your SaaS, explore our AI/ML consulting services and let’s discuss your vision.

Microsoft AI Agents vs. The Competition: A Comparative Look

While Microsoft offers a compelling suite of AI agent solutions, understanding its unique strengths and how it stacks up against competitors is essential for making an informed decision.

Key Differentiators of Microsoft’s Ecosystem

Microsoft’s primary advantage lies in its deeply integrated ecosystem, offering a holistic approach that spans cloud infrastructure, productivity tools, and business applications.

Integrated Approach: From Azure AI services powering custom agents to Copilot embedded in M365 and Dynamics 365, Microsoft provides a cohesive experience. This reduces integration friction and allows for more seamless workflows.
Enterprise-Grade Security and Compliance: Microsoft’s global data center presence, coupled with robust security protocols and a wide array of compliance certifications, makes it a trusted choice for businesses with stringent security and regulatory requirements.
Power Platform for Citizen Developers: The low-code/no-code capabilities of the Power Platform democratize AI agent development, enabling business users and citizen developers to build and deploy solutions rapidly, accelerating innovation without heavy reliance on specialized IT resources.

Comparison Table: Microsoft vs. Other Leading AI Agent Platforms

To provide a clearer picture, here’s a comparative overview of Microsoft’s AI agent solutions against other major players and open-source frameworks.

Feature/Aspect	Microsoft AI Agent Solutions	Google Cloud AI (Vertex AI, Dialogflow)	AWS AI (Amazon Lex, SageMaker)	Open-source Frameworks (LangChain, LlamaIndex)
Ecosystem Integration	Deep integration with Azure, M365, Dynamics 365, Power Platform	Strong integration with Google Cloud services, Workspace, Android	Deep integration with AWS services (EC2, S3, Lambda)	Highly flexible, integrates with various cloud providers and tools
Scalability	Highly scalable via Azure	Highly scalable via Google Cloud infrastructure	Highly scalable via AWS infrastructure	Scalability depends on the underlying infrastructure used for deployment
Customization	High (Azure OpenAI), moderate (Copilot Studio)	High (Vertex AI), moderate (Dialogflow)	High (SageMaker), moderate (Amazon Lex)	Extremely high, offers full control over agent logic and architecture
Ease of Use	Varies: Copilot Studio is user-friendly; Azure OpenAI requires development	Varies: Dialogflow is user-friendly; Vertex AI offers advanced ML tools	Varies: Amazon Lex is user-friendly; SageMaker is for ML experts	Requires significant development expertise and coding knowledge
Security & Compliance	Enterprise-grade, extensive certifications	Enterprise-grade, strong Google Cloud security	Enterprise-grade, robust AWS security	Security depends entirely on the user’s implementation and infrastructure
Pricing Model	Usage-based, subscription tiers	Usage-based, pay-as-you-go, commitment discounts	Usage-based, pay-as-you-go, reserved instances	Open-source is free; costs are for underlying infrastructure and services
Target Audience	Enterprises, SMBs, developers, citizen developers	Enterprises, developers, data scientists	Enterprises, developers, data scientists	Developers, researchers, organizations prioritizing full control

Choosing the Right AI Agent Solution for Your SaaS

Selecting the optimal AI agent solution requires a thorough assessment of your specific needs and existing infrastructure.

Assess Business Needs: Clearly define the problems you want to solve. Are you focused on enhancing internal productivity, automating customer support, personalizing marketing, or accelerating product development?
Consider Your Tech Stack: If your SaaS business is already heavily invested in Microsoft products, leveraging Microsoft AI agents offers the path of least resistance and greatest integration benefits.
Evaluate Resources and Expertise: Do you have in-house development teams capable of building custom agents with Azure OpenAI, or do you need more user-friendly, low-code solutions like Copilot Studio?
Long-Term Strategic Alignment: Consider which platform best aligns with your long-term growth strategy, scalability requirements, and commitment to innovation.

Expert consultation, such as the AI strategy services offered by MSH, can be invaluable in navigating these considerations and making the best choice for your SaaS business.

The Future Landscape: Microsoft AI Agents and Your 2026 SaaS Strategy

The trajectory of AI agents is one of continuous evolution, promising even more sophisticated capabilities and deeper integration into business operations. For SaaS founders, staying ahead means understanding these future trends and proactively integrating AI into their strategic roadmap.

Emerging Trends in AI Agent Capabilities

The AI agent landscape is rapidly advancing, moving towards more autonomous, context-aware, and multi-modal systems.

Increased Autonomy and Proactivity: Future AI agents will operate with greater independence, anticipating needs and taking initiative rather than just responding to commands. This includes agents that can self-optimize their performance and adapt to changing environments.
Multi-Modal Understanding and Generation: Agents will become increasingly adept at understanding and generating content across various modalities – text, images, audio, and video. This will enable richer, more intuitive interactions and broader application possibilities.
Self-Improving and Learning Agents: Advances in reinforcement learning and other AI techniques will lead to agents that can continuously learn and improve from their interactions and experiences, becoming more effective and efficient over time.
Enhanced Ethical Frameworks: As AI agents become more powerful, there will be a growing emphasis on developing robust ethical frameworks, ensuring transparency, fairness, and accountability in their design and deployment.

Integrating AI Agents for Sustainable Competitive Advantage

In 2026 and beyond, the strategic integration of AI agents will be a key differentiator for SaaS businesses.

Unique Value Propositions: By embedding AI agents into your product or using them to enhance customer interactions, you can create unique value propositions that competitors cannot easily replicate. This could be through hyper-personalized user experiences, predictive insights, or unparalleled operational efficiency.
Agility and Responsiveness: AI agents enable businesses to be more agile and responsive to market changes, customer demands, and competitive pressures. The ability to automate complex analyses and adapt strategies quickly will be paramount.
Continuous Innovation: A forward-thinking AI strategy, leveraging tools like Microsoft’s agents, fosters a culture of continuous innovation. This allows SaaS companies to consistently deliver cutting-edge features and services that delight customers and drive market leadership.

Future-Proofing Your SaaS with MSH’s AI Consulting Services

The evolving AI landscape can seem complex, but with the right strategy and partner, your SaaS business can thrive. MSH (Techno Believe Solutions) is dedicated to helping SaaS founders develop a forward-looking AI strategy that leverages the latest advancements, including Microsoft’s AI agent solutions.

Our AI/ML consulting services provide the strategic guidance needed to identify opportunities, assess risks, and build a roadmap for AI integration. We specialize in custom AI platform development, ensuring you have the tailored solutions required to meet your unique business challenges and capitalize on emerging trends. Furthermore, our expertise in AI-powered digital marketing ensures that your growth strategies are optimized for the AI-driven era. By partnering with MSH, you can navigate the complexities of AI adoption, maximize your return on investment, and ensure your SaaS business is not just prepared for 2026, but positioned for sustained success in the years to come.

How MSH Can Help

If you’re a B2B SaaS founder looking to harness the power of Microsoft AI agents to drive efficiency, innovation, and growth in 2026, navigating the array of solutions and implementation complexities can feel overwhelming. At MSH (Techno Believe Solutions), we understand these challenges and are dedicated to providing end-to-end AI and technology consulting services specifically for businesses like yours.

Our expertise spans the full spectrum of AI product development and implementation, from strategic planning and solution design to custom development and ongoing optimization. We help you identify the most impactful AI agent solutions within the Microsoft ecosystem, such as Azure OpenAI, Copilot, and Power Platform, and integrate them seamlessly into your existing workflows. Whether your goal is to revolutionize your AI marketing and outreach automation, streamline customer support with intelligent chatbots, or accelerate your product development cycles, MSH provides the technical acumen and strategic insight to achieve tangible results. Our focus is on delivering tailored AI solutions that provide a clear return on investment and a sustainable competitive advantage.

Ready to explore how Microsoft AI agents can transform your SaaS business? Book a free audit with our AI experts and we’ll map out a personalized strategy for your specific needs and technology stack.

Frequently Asked Questions

What specifically are Microsoft AI agents, and how do they benefit SaaS businesses?

Microsoft AI agents are autonomous software entities built on Azure AI and integrated across Microsoft’s product suite. They leverage technologies like LLMs to perceive, decide, and act towards specific goals. For SaaS businesses, they offer benefits such as automating complex tasks, enhancing customer experiences through personalized interactions and 24/7 support, providing deeper data-driven insights for better decision-making, and accelerating product development cycles.

How can Microsoft AI agents improve our AI marketing and outreach automation efforts in 2026?

Microsoft AI agents can significantly enhance AI marketing and outreach by enabling personalized content generation at scale, automating and optimizing email campaigns and cold outreach sequences, and performing continuous SEO strategy analysis and keyword opportunity identification. Solutions like Azure OpenAI and Copilot can tailor messaging and outreach efforts to specific customer segments, leading to higher engagement and conversion rates.

What are the main challenges when implementing Microsoft AI agent solutions, and how can they be overcome?

Key challenges include ensuring high data quality and availability, managing integration complexities with existing systems, addressing ethical considerations and potential bias, and planning for scalability and cost management. These can be overcome by starting with pilot projects, defining clear objectives and KPIs, prioritizing data governance and security from the outset, and fostering a culture of AI adoption within the organization.

Is Microsoft Copilot considered an AI agent, and what’s its role for SaaS founders?

Yes, Microsoft Copilot is a prime example of an AI agent, functioning as an AI-powered assistant integrated across Microsoft 365, Dynamics 365, and the Power Platform. For SaaS founders, Copilot enhances productivity by automating tasks in daily applications, streamlines sales and customer service processes with contextual insights and suggestions, and empowers citizen developers to build custom AI solutions via Copilot Studio, accelerating internal operations and customer engagement.

How does Microsoft Fabric support the development and operation of AI agents?

Microsoft Fabric acts as a unified data analytics platform, providing the essential data backbone for AI agents. It consolidates data engineering, data warehousing, and business intelligence, ensuring AI agents have access to clean, real-time, and comprehensive data. This enables agents to perform advanced analytics, generate accurate insights, and make more informed, data-driven decisions, which is crucial for complex operational tasks and strategic planning.

What are the most promising AI-driven e-commerce automation strategies for 2026 using Microsoft tools?

Leveraging Microsoft tools, promising strategies include using AI agents for personalized product recommendations, automated inventory management and demand forecasting, intelligent customer service chatbots for instant support, dynamic pricing adjustments based on real-time market data, and AI-powered marketing campaigns for targeted customer acquisition and retention. These can be orchestrated through Dynamics 365 Commerce AI and Azure AI services.

Frequently Asked Questions

What is microsoft ai agents solutions?

microsoft ai agents solutions is covered in depth earlier in this article. See the introduction and main body for the full explanation, real-world examples, and how to evaluate it for your use case.

How do I get started with microsoft ai agents solutions?

The article walks through the full implementation path. Start with the step-by-step section and follow the tool recommendations that match your stack and budget.

How does introduction: unlocking saas growth with microsoft ai agents in 2026 actually work?

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How does demystifying microsoft ai agents: what they are and how they work actually work?

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How does top microsoft ai agent solutions for saas founders in 2026 actually work?

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Sources

Microsoft Azure AI Documentation — Official documentation detailing Azure’s comprehensive AI capabilities, including Azure OpenAI Service.
Microsoft Copilot Official Site — Information on Microsoft Copilot’s features, integrations, and benefits across various Microsoft products.
Microsoft Power Platform Documentation — Resources on building low-code applications and automated workflows, including Power Virtual Agents and Power Automate.
What is Microsoft Fabric? — An overview of Microsoft Fabric’s unified data analytics platform and its role in data management and business intelligence.
Anthropic’s Model Context Protocol (MCP) Overview — Details on the open standard for AI agent communication and interoperability.

Written By

The MSH team — Techno Believe Solutions (MSH) is an AI + technology consultancy and agency specializing in end-to-end AI and software product development, including AI platforms, web/mobile apps, and SaaS solutions, alongside AI-powered digital marketing services for B2B SaaS founders.

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