Agentic AI in Enterprise
Salesforce, ServiceNow, UiPath, Workday, SAP and Beyond
Key Takeaways
- Salesforce Agentforce has 8,000+ customers and generated $900M in AI revenue within 6 months of launch, now using action-based pricing at $0.10 per action
- ServiceNow targets $1B in AI-specific revenue by 2026 with AI Agent Orchestrator and new OpenAI partnership for advanced voice agents
- UiPath named one of TIME's Best Inventions of 2025 for agentic automation—78% of executives say they'll reinvent operating models for it
- Enterprise AI agents market growing from $7.92B in 2025 to $236B by 2034 at 45.8% CAGR
ENTERPRISE AGENTIC AI ADOPTION 2026
Sources: Arcade.dev, Warmly AI Statistics, Google Cloud ROI Report
Introduction: The Enterprise Agentic AI Revolution
2025 marked a turning point for enterprise software. Every major vendor—from CRM to ERP to automation—has embedded agentic AI capabilities into their platforms. Unlike the chatbots and copilots of 2023-2024, these new AI agents don't just answer questions. They autonomously execute multi-step business processes, make decisions within defined guardrails, and collaborate with other agents and humans to achieve complex outcomes.
According to McKinsey's State of AI 2025 report, 23% of organizations are already scaling agentic AI systems somewhere in their enterprises, with an additional 39% actively experimenting with AI agents. The numbers tell the story: organizations project an average ROI of 171% from their agentic AI investments, with U.S. enterprises specifically forecasting 192% returns.
What Makes Enterprise Agentic AI Different?
This guide examines how the major enterprise vendors—Salesforce, ServiceNow, UiPath, Workday, and SAP—are implementing agentic AI, with real pricing, features, and implementation considerations.
Salesforce Agentforce
The Next Generation of Salesforce AI
Salesforce has positioned Agentforce as the successor to Einstein AI, representing the company's full pivot to autonomous AI agents. Launched in Fall 2024 and rapidly iterated through 2025, Agentforce now serves 8,000+ customers with $900 million in AI and Data Cloud revenue within just six months of launch.
Agentforce Core Capabilities
The "brain" that processes natural language, plans multi-step actions, and adapts to context
Low-code tools to create custom agents using natural language descriptions and existing Salesforce flows
World's first agent marketplace—buy, sell, and deploy pre-built agents from partners
Pre-Built Agent Types
Handles customer inquiries 24/7, resolves common issues autonomously, escalates complex cases with full context
Engages leads, answers product questions, books meetings, and qualifies prospects using CRM data
Provides personalized coaching, role-play scenarios, and deal analysis based on historical win patterns
Manages product catalogs, generates descriptions, optimizes pricing, and personalizes recommendations
Pricing Model Evolution
Salesforce's pricing journey illustrates the challenges of monetizing agentic AI. The original "$2 per conversation" model proved problematic—one support organization calculated $900 in daily costs for just five agents.
| Pricing Tier | Price | Best For |
|---|---|---|
| Flex Credits (New) | $0.10 per action (20 credits) | Pay-as-you-go consumption |
| Standard Add-ons | $125/user/month | Unlimited employee-facing usage |
| Premium (Regulated Industries) | $150/user/month | Financial Services, Healthcare, Manufacturing |
| Agentforce 1 Editions | $550/user/month | Full suite with all cloud features |
Source: Salesforce Agentforce Pricing, Aquiva Labs Analysis
Key 2025-2026 Developments
- •Agentforce 3 launched with command center for testing/observability and multi-agent orchestration
- •AgentExchange marketplace enables third-party agents—participation in "$6 trillion digital labor market"
- •6% price increase (August 2025) for Enterprise/Unlimited editions with unlimited Agentforce licenses
- •50% of Fortune 100 now using Salesforce AI + Data Cloud
ServiceNow AI Agents
From Now Assist to Autonomous IT & HR Operations
ServiceNow's journey from "Now Assist" chatbots to fully autonomous AI Agents represents one of the most aggressive enterprise AI pivots. The company has set an ambitious target of $1 billion in AI-specific revenue by 2026.
"2026 is the year of agentic collaboration in the enterprise. We'll stop asking AI for simple answers and start letting it autonomously diagnose, plan, and execute multistep workflows to achieve specific outcomes."
— Amit Zavery, President & Chief Product Officer, ServiceNow
Platform Architecture
Coordinates teams of AI agents to collaborate on complex tasks—enabling results no single agent can achieve alone
No-code agent builder using natural language prompts—describe the role, outcome, and processes; the studio creates your agents
Enterprise-wide visibility, embedded compliance, and end-to-end lifecycle governance for native and third-party agents
AI-powered playbooks that complete tasks while keeping humans in the loop—modifiable via natural language
Pre-Built Agent Catalog
Identifies category, subcategory, and affected configuration items based on known assets assigned to the caller
Generates custom implementation, test, and backout plans by analyzing impact, historical data, and similar changes
Automatically detects, diagnoses, and resolves network issues before they affect performance
OpenAI Partnership (January 2026)
ServiceNow partnered with OpenAI to access advanced AI models, including cutting-edge voice models for humanlike customer service agents and OpenAI's computer-use model for tasks like updating operating systems and interacting with third-party browsers and databases.
Security & Governance Features
Centralized visibility of all API integrations using service accounts or keys
Discover, classify, and protect sensitive data across all workflows
Enhanced agentic playbooks with embedded security for development workflows
Source: ServiceNow AI Agents, CIO - Zurich Release
UiPath Agentic Automation
From RPA Leader to Agentic AI Pioneer
UiPath's Platform for agentic automation and orchestration was named one of TIME's Best Inventions of 2025—recognition that signals how far the company has come from traditional RPA.
UiPath's evolution from rule-based robotic process automation to intelligent, agentic automation represents a fundamental shift in enterprise automation. The company now empowers organizations to combine automation, AI agents, orchestration, and people to deliver transformational impact.
Key Platform Components
Autopilot
AI-powered assistant that can understand context, reason through complex scenarios, and suggest or take actions autonomously
Agent Builder
Create custom AI agents that can adapt, learn, and make decisions in complex business environments
Maestro (Agentic Orchestration)
Orchestrate and manage agents from UiPath and third parties—ensuring data access, security guardrails, and human oversight
Agentic Testing
Automated testing infrastructure specifically designed to validate AI agent behavior and outcomes
2026 Adoption Statistics
Source: UiPath 2025 Agentic AI Report
Industry-Specific Applications
UiPath emphasizes industry-specific agentic automation over generic solutions:
Workday Illuminate & Agent System of Record
Managing the Human + Digital Workforce
Workday has taken a unique approach to enterprise agentic AI: instead of just building agents, they're building the system to manage all agents—both their own and third-party. The Workday Agent System of Record (ASOR) announced in February 2025 is designed to govern, manage, and optimize entire digital workforces.
"The workforce of the future will include both humans and AI agents, and businesses that don't learn to manage this incredibly complex reality will quickly fall behind."
— Aneel Bhusri, Co-Founder & Executive Chair, Workday
Agent System of Record (ASOR) Capabilities
Centralized policies, permissions, and compliance controls across all AI agents
Lifecycle management, performance monitoring, and optimization for digital workers
Secure connection point for third-party agents to access Workday data and workflows
Workday Illuminate Agents
At Workday Rising 2025, the company announced purpose-built Illuminate agents for HR, Finance, and industry-specific processes:
HR & Talent Agents
- •Recruiting Agent — Screens candidates, schedules interviews, provides status updates
- •Talent Mobility Agent — Matches employees to internal opportunities based on skills and goals
- •Frontline Agent — Self-service for scheduling, time-off, and benefits for deskless workers
- •Payroll Agent — Handles payroll inquiries, corrections, and adjustments
Finance & Operations Agents
- •Financial Audit Agent — Reviews transactions, identifies anomalies, prepares audit documentation
- •Document Driven Accounting Agent — Extracts data from invoices and receipts, routes for approval
- •Supplier Contracts Agent — Manages contract renewals, terms, and compliance
- •Business Process Optimize Agent — Analyzes workflows and recommends improvements
Agent Partner Network
Workday announced the Agent Partner Network in June 2025—a global ecosystem of partners building AI agents that connect to the Agent System of Record:
Pricing Model: Workday Flex Credits
By 2026, Workday shifted to a consumption-based model via "Workday Flex Credits," allowing customers to pay for the specific AI agents they utilize rather than a flat per-user fee. This mirrors Salesforce's evolution and reflects industry-wide movement toward outcome-based AI pricing.
SAP Joule Agents
AI Across the Enterprise Business Suite
SAP's approach to agentic AI centers on Joule—the company's AI copilot framework—now expanded with autonomous agents across finance, HR, procurement, and supply chain. At SAP Connect 2025, the company unveiled 14 new Joule Agents with domain expertise across the enterprise.
SAP AI by the Numbers
Joule Studio Agent Builder
Joule Studio agent builder became generally available in December 2025, enabling organizations to create context-aware agents that plan, reason, and execute multi-step processes across systems:
- •Create custom agents tailored to unique business requirements
- •Break cross-ecosystem silos with agents that work across SAP and third-party systems
- •Reduce time to build and deploy custom agents by up to 35%
Key Joule Agents by Domain
| Domain | Agent | Capabilities | Availability |
|---|---|---|---|
| Finance | Cash Management Agent | Automates reconciliation, detects surpluses/shortages, suggests optimizations | GA Q1 2026 |
| Finance | Trade Classification Agent | Analyzes product data and trade regulations for tariff codes | Beta Dec 2025 |
| Procurement | Bid Analysis Agent | Compares supplier bids on price, shipping, terms; highlights best options | Q1 2026 |
| Supply Chain | Production Planning Agent | Prerequisite checks, workaround suggestions, order release | GA Q1 2026 |
| Customer | Digital Service Agent | Self-service support, inquiry deflection, escalation to humans | Available |
| Customer | Shopping Agent | Product discovery, transactions, post-sales support in one conversation | Available |
Source: AIMultiple SAP AI Agents Research
Microsoft 365 Copilot Integration
SAP completed bidirectional integration between Joule and Microsoft 365 Copilot, delivering a unified user experience across enterprise systems. Users can access SAP data and execute Joule skills directly from Microsoft applications.
Enterprise Agentic AI Platform Comparison
Each vendor brings different strengths to enterprise agentic AI. Here's how they compare across key dimensions:
| Feature | Salesforce | ServiceNow | UiPath | Workday | SAP |
|---|---|---|---|---|---|
| Primary Focus | CRM, Sales, Service | IT Operations, HR | Process Automation | HR, Finance | ERP, Supply Chain |
| Agent Builder | Low-code, Flow-based | No-code, NL-based | Visual + Code | Partner-led | Joule Studio |
| Multi-Agent Orchestration | Agentforce 3 | AI Agent Orchestrator | Maestro | Agent System of Record | Limited |
| Pricing Model | $0.10/action (Flex) | Per workflow/user | Consumption-based | Flex Credits | BTP-based |
| Marketplace | AgentExchange | ServiceNow Store | UiPath Marketplace | Partner Network | SAP Store |
| Key Differentiator | CRM data + Atlas Engine | OpenAI partnership | RPA + AI hybrid | Agent governance | ERP integration |
Implementation Considerations
Deploying enterprise agentic AI requires careful planning. Research shows that over 40% of agentic AI projects will be canceled by end of 2027 due to escalating costs, unclear business value, or inadequate risk controls.
Success Factors
Define measurable goals before selecting agents or platforms
Companies with formal AI strategies see 80% success vs 37% without
Design escalation paths and oversight mechanisms from day one
Common Pitfalls
Agents are only as good as the data they access—clean data first
Employee adoption and trust are critical success factors
Only 5% of organizations saw true AI ROI in 2025—pilot first
Key Challenges by the Numbers
2026 Outlook and Trends
According to Gartner's predictions, 40% of enterprise applications will integrate task-specific AI agents by the end of 2026—up from less than 5% in 2025. Here are the key trends shaping enterprise agentic AI:
1. Multi-Agent Collaboration Becomes Standard
Solo agents are giving way to orchestrated teams. "Multi-agent systems are in, and governance-as-code is the new must-have," according to UiPath's 2026 Trends Report.
2. Consumption-Based Pricing Dominates
Salesforce, Workday, and others have shifted to action-based or credit-based pricing. Expect per-user licensing to become the exception rather than the rule for AI capabilities.
3. Agent Interoperability Standards Emerge
Protocols like Agent2Agent (A2A) and MCP (Model Context Protocol) are enabling agents from different vendors to collaborate, reducing vendor lock-in concerns.
4. Industry-Specific Agents Proliferate
Generic agents are giving way to verticalized solutions for banking, healthcare, retail, and manufacturing—with pre-built compliance and domain knowledge.
5. Agent System of Record Becomes Critical
As organizations deploy agents from multiple vendors, centralized governance (like Workday's ASOR) becomes essential for managing the digital workforce.
Enterprise AI Agent Market Projections
Source: Multimodal AI Statistics 2026
Summary: Choosing Your Enterprise Agentic AI Platform
FOR CRM & SALES
Salesforce Agentforce leads with 8,000+ customers, deep CRM integration, and the Atlas Reasoning Engine. Best for organizations already in the Salesforce ecosystem.
FOR IT & SERVICE OPS
ServiceNow AI Agents offers the strongest IT operations coverage, with new OpenAI partnership bringing advanced voice and computer-use capabilities.
FOR PROCESS AUTOMATION
UiPath combines decades of RPA expertise with cutting-edge agentic AI—ideal for bridging existing automation with intelligent agents.
FOR HR & WORKFORCE
Workday uniquely addresses agent governance with the Agent System of Record—critical for managing human + digital workforces together.
Beyond Enterprise Platforms: The Agentic AI Opportunity
While enterprise vendors focus on integrating AI into existing workflows, Planetary Labour is pioneering something different: autonomous AI workers that can handle complex digital tasks end-to-end, creating new possibilities for how work gets done.
Explore Planetary Labour →Continue Learning
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