Reimagining SaaS: How GenAI and Agentic Automation Will Shape Tomorrow’s Software

by | Mar 20, 2025 | Digital Transformation, GenAI | 0 comments

How GenAI and Agentic Automation Will Redefine Software Solutions

 

The future of SaaS in the age of GenAI (Generative AI) and Agentic frameworks is a mix of evolution, disruption, and adaptation. By 2028, over 60% of SaaS providers are predicted to pivot their models to embrace AI-driven automation—transforming the very nature of software delivery and consumption. While SaaS as a model isn’t dying, some traditional aspects will become obsolete, and new paradigms will emerge. Here’s how:

1: From Static SaaS to AI-Driven Adaptive Systems


Traditional SaaS applications operate on fixed workflows and rule-based automation. With GenAI and Agentic frameworks, SaaS will:

    • Become adaptive—learning from user behavior in real time.
    • Move from menu-driven software to conversational and autonomous interfaces.
    • Reduce dependency on rigid UI-based workflows and replace them with AI-powered agents that act proactively.

Agent-Driven Interfaces: From Clicks to Conversations

    • Old SaaS (CRM) → Users manually enter data, generate reports.
    • New SaaS (Agentic CRM) → AI autonomously updates records, suggests next steps, books meetings, and even executes outreach campaigns based on past interactions.

2: The Rise of Agentic Automation Over Static SaaS Apps

Agentic frameworks refer to AI agents that autonomously plan, execute, and improve actions—turning SaaS from passive tools into proactive decision-makers. Instead of multiple siloed applications, businesses will:

    • Use AI agents that integrate across multiple SaaS tools.
    • Reduce dependence on specific SaaS products since agents will handle end-to-end workflows dynamically.
    • Experience fewer standalone dashboards, as GenAI interfaces will make multi-app switching unnecessary.

Example Use Cases:

    • In finance, an AI agent may analyze expenses, recommend cost optimizations, and automate tax filing.
    • In marketing, AI agents may create campaigns, analyze engagement, and adjust strategies in real-time.

3: SaaS Monetization & Pricing Will Shift


With AI agents replacing many SaaS-driven tasks, subscription-based pricing models may decline in favor of:

    • Usage-based and outcome-driven pricing (e.g., AI-driven lead conversion vs. just paying for CRM access).
    • AI as a Service (AIaaS) models where companies pay for intelligence and execution rather than access to software.

AI-First Pricing Models: From Subscriptions to Outcomes

    • Traditional SaaS (Sales Enablement) → Pay per seat for platform access.
    • Future AI-Powered Sales Agents → Charge per deal closed or per prospect engaged.

4: Decline of Certain SaaS Categories


Some categories of SaaS will struggle or become redundant due to AI-driven automation:

    • Low-code / No-code platforms: AI agents will autonomously build and modify workflows in real time without user intervention.
    • BI & Reporting SaaS: GenAI will generate insights autonomously, reducing the need for dashboard-heavy analytics tools.
    • Traditional RPA & Workflow Automation: Agentic AI will replace rule-based automation with adaptable decision-making agents.
    • Basic Customer Support SaaS: AI agents will replace scripted chatbots with dynamic, real-time, contextual assistance.

5: Evolution into “Agent-Orchestrated SaaS”


The next-gen SaaS players will not just provide software but enable agent-driven orchestration:

    • SaaS tools will become API-first, AI-extensible platforms rather than monolithic apps.
    • AI agents will interact with multiple SaaS tools, acting as super-connectors between them.
    • Companies will focus more on data sovereignty and orchestration rather than just software access.

Example:

    • Current HR SaaS → Payroll, benefits, onboarding are separate modules.
    • Future HR AI Agents → Automatically manage hiring, performance, and employee engagement, only using SaaS tools when necessary.

6: Governance, Process, Compliance, Data & Customer Considerations


Beyond technology, the evolution of SaaS in the GenAI era will impact:

 

Governance & Compliance

    • Increased AI regulation will require SaaS providers to ensure explainability, auditability, and ethical AI use.
    • SaaS platforms will need enhanced AI governance frameworks to prevent bias and maintain compliance across industries.

Process Transformation

    • AI-driven automation will reduce the need for manual workflows, shifting businesses towards AI-led decision-making.
    • Organizations will need new operational frameworks to integrate AI-driven workflows without human bottlenecks.

Data & Security

    • Data sovereignty and privacy will become critical, as AI-driven SaaS tools collect and process vast amounts of information.
    • Companies will demand AI transparency, ensuring their data isn’t being used for unauthorized model training.

User & Customer Experience

    • AI will drive hyper-personalization, ensuring SaaS tools anticipate user needs instead of requiring manual configuration.
    • Customers will expect SaaS solutions to provide outcome-based value, shifting away from traditional feature-based pricing.

Final Thought: SaaS Won’t Die—But It Will Change Drastically


SaaS will not disappear, but it will evolve from being a subscription-based software provider into an AI-powered, agent-driven ecosystem. Companies that fail to integrate GenAI and agentic automation will either be acquired, replaced, or outcompeted.

The Future?

Instead of logging into 10 different SaaS tools, businesses will increasingly interact with one intelligent AI agent that manages everything behind the scenes—triggering SaaS tools only when required.

 

Is your SaaS platform ready to thrive in an AI-driven future? The winners will be those who harness the power of intelligent automation today.

About

Mahin Chugh is a seasoned digital transformation and contract lifecycle management (CLM) expert, with extensive experience in solution architecture and strategic account management. Over his career, he has held leadership roles at Oracle, Hewlett Packard, Tata Consultancy Services, and Icertis, driving impactful digital initiatives and managing large-scale ERP, SaaS, and outsourcing projects. Mahin specializes in optimizing business processes, enhancing compliance, and delivering tailored CLM solutions across industries.

With global experience spanning Australia, the Nordics, the UK, India, and the EU, Mahin has a proven track record in leading high-value deals, managing multi-vendor ecosystems, and aligning technology with business goals. Certified in TOGAF, Prince2, and ITIL, he combines strategic insights with cutting-edge tools to help organizations navigate complex technology landscapes and achieve transformative growth.

Disclaimer

GSP Strategic Advisors strives to provide accurate and reliable information on this website but makes no guarantees regarding its accuracy, completeness, or currency. All content is provided “as is” and may be amended without notice, including details on services and fees. GSP Strategic Advisors is not liable for any loss or damage resulting from the use of this website or reliance on its content. Use of this website is at your own risk. Links to third-party websites are provided for convenience only and do not imply endorsement or approval by GSP Strategic Advisors