The agentic AI revolution is moving at breakneck speed. Software is no longer just software. It’s turning into intelligent digital workers—autonomous agents executing tasks, collaborating across systems, and delivering measurable outcomes. The big shift? From tool providers to outcome enablers.
What’s Changing in 2025
“In 2025, enterprises aren’t just buying software
—they’re hiring digital workers,” says Jenna
Malik, Principal Analyst at Forrester.
—they’re hiring digital workers,” says Jenna
Malik, Principal Analyst at Forrester.
Three seismic shifts are transforming the business models of AI-first platforms:
- From Selling Software → To Selling Software + Digital Workers
- From Delivering Tools → To Delivering Outcomes
- From Charging Per Seat → To Charging Per Seat + Per Task + Per Outcome
Platforms that adapt are gaining traction.
Those that don’t, risk becoming obsolete.
The Leading Players
Here’s a curated market view of the most promising agentic AI platforms operating in the US.
Each of them is leaning into the shift from software to intelligent digital labor:
Platform Deep Dives
1. Relevance AI
- What They Offer: No-code enterprise platform to deploy autonomous agents.
- Why It Works: Democratizes agent creation for business users. Emphasizes SOC 2 and GDPR compliance.
- Market Context: As McKinsey recently noted, “Companies that empower business users to create automation workflows will scale AI faster.”
2. Microsoft Autogen
- What They Offer: Multi-agent collaboration on Azure-native stack.
- Why It Works: Perfect fit for enterprises already using Microsoft. Strong orchestration tools for agent teams.
- Market Context: Gartner predicts, “By 2026, over 60% of enterprise automation will involve agent collaboration—up from under 10% in 2023.”
3. Cognosys
- What They Offer: Browser-native agents that automate tasks without backend integration.
- Why It Works: Fast to deploy, especially in legacy-heavy enterprises.
- Watch Out: Their generous “unlimited use” pricing tiers may face sustainability pressure as usage scales.
4. UiPath
- What They Offer: Agentic evolution of their RPA platform.
- Why It Works: Bridges structured automation with new AI-driven, unstructured workflows.
- Market Context: According to IDC, “The convergence of RPA and agentic AI is one of the most investable frontiers in enterprise tech.”
5. Lindy
- What They Offer: AI assistant for scheduling, emails, reminders—positioned as a digital chief of staff.
- Why It Works: Pioneered usage-based pricing with credits. Aligns payment directly with value delivered.
- Quote to Note: “Lindy’s model is like AWS for digital labor,” says analyst Chris Palmer. “You pay only for what you consume.”
6. /dev/agents
- What They Offer: A marketplace platform for digital workers.
- Why It Works: Enables agent creators to monetize per transaction. /dev/agents takes a cut, like an AI-powered gig economy.
- Vision: They aim to become the Android for agents—an OS and marketplace for digital workers.
7. Lyzr.ai
- What They Offer: A low-code platform purpose-built for enterprises to design, deploy, and orchestrate complex agentic workflows.
- Why It Works: Combines simplicity with power, ideal for enterprise-grade deployments across BFSI, pharma, manufacturing, and education. Comes with in-built safe and responsible AI controls, memory-based agents, and one-click deployment of tools like Gmail, HubSpot, Salesforce, and Snowflake. Lyzr is the Langchain for Enterprises. Built for secure, scalable AI workflow automation with guardrails already baked in.”
- Vision: Lyzr is pioneering the shift toward OGI Organizational Generative Intelligence where multiple agents collaborate across ingestion, reasoning, and action layers to drive real business outcomes.
Emerging Trends to Watch
- Value-Based Pricing: Outcome-based or task-based pricing is fast replacing traditional seat-based SaaS.
- Rise of Marketplaces: Platforms are becoming ecosystems. Think app store meets digital labor.
- Security & Compliance as Differentiators: Enterprise buyers won’t compromise here. Certifications are now table stakes.
- Democratization of Agent Creation: No-code tools and visual builders are letting business users deploy agents without writing code.
How New Players Can Adapt and Thrive
For emerging startups and fast-moving players in the agentic AI space, staying competitive means evolving quickly—on both the product and business model front.
1. Business Model Rewiring
- Ditch One-Size-Fits-All SaaS: Introduce hybrid pricing that combines usage, outcome, and subscription elements.
- Offer Flexible Commercial Constructs: For example, charge per task executed, per process automated, or per value metric (e.g., hours saved).
- License as a Platform, Monetize as a Marketplace: Let others build on top of your ecosystem. Capture value by enabling commerce.
2. Pricing Strategy Innovations
- Launch with Credit-Based Systems: This aligns perceived value with consumption from day one. Encourage transparency.
- Usage-First, Subscription-Later: Let users adopt before they commit. Grow revenue via usage before locking them into tiers.
- Enterprise Flexibility: Bundle pricing around outcomes for large customers—tie it to KPIs, not seats.
3. Product Engineering Priorities
- Modular Agents: Build reusable, interoperable agent components that users can plug-and-play.
- Security Embedded by Design: Enterprise-grade compliance (SOC 2, ISO 27001) isn’t optional—it’s an entry ticket.
- Interoperability First: Your agents must work with existing ecosystems—Slack, Microsoft, Salesforce, SAP, Oracle, Hubspot etc.
- Feedback Loops for Outcome Accuracy: Embed performance tracking and feedback into the product loop. Learn what outcomes are truly being delivered.
4. Roadmap Considerations
- Invest in Orchestration: Single agents are table stakes. Multi-agent orchestration is where differentiation lies.
- Build for Marketplace Readiness: Design your agents for third-party integration and monetization.
- Enable End-User Autonomy: Business users (not just engineers) should be able to deploy, configure, and supervise agents.
Final Word
The agentic AI landscape is evolving fast—and the platforms leading the way are not just building software. They’re building workforces.
This is no longer about licenses or access.
It’s about delivery, value, and measurable business outcomes.
The winners? Those who treat AI agents not as features, but as employees.
And those who evolve their business models just as fast as they evolve their tech.
The agentic future is not coming.
It’s already here—and it’s hiring.
