We know why businesses can’t afford to let AI projects stall: the costs are too high, and the opportunities are too big. That’s exactly why agentic AI has become the next frontier.
Unlike traditional automation that handles one-off tasks, agents can think through a process, make decisions, and complete workflows end-to-end.
Whether it’s resolving customer cases, qualifying leads, or publishing marketing content, agents bring speed and consistency that manual work or basic bots can’t match.
The Agent-Based AI Opportunity
And the market is moving fast. By 2030, agent-based AI is expected to automate tasks worth over $6 trillion globally, making it one of the biggest levers for business growth across industries like healthcare, finance, and retail.
The market for agent-based AI solutions is expected to expand from about $5 billion in 2024 to more than $50 billion by 2028, reflecting an annual growth rate of 78%. This surge is fueled by rising demand for advanced automation in industries including healthcare, financial services, and retail.
So what exactly are businesses gaining from this shift? It usually comes down to three things:
| Business Goal | How Agents Help | Real Impact |
| Enhance Productivity | Agents run multi-step workflows without constant human input. | Companies see up to 40% faster customer response times. |
| Drive Revenue Growth | Agents personalize interactions and optimize sales pipelines. | Early adopters report 25% higher sales efficiency. |
| Improve Cost Efficiency | Agents cut down repetitive manual work and streamline operations. | Enterprises achieve 20% lower ownership costs using platforms like Agentforce. |
These outcomes explain why agentic AI adoption is accelerating. But here’s where the decision becomes tricky: how do you choose the right platform to deliver these results?
Right now, the market is shaped by two very different approaches:
- Agentforce, which delivers speed and compliance by embedding directly into Salesforce.
- Lyzr, which delivers flexibility and control through a platform-agnostic, private-first model.
Lyzr vs Agentforce: A Quick Comparison
When businesses evaluate AI agents, it’s not about whether they need them, it’s about choosing the right platform to deliver results. Agentforce and Lyzr represent two very different approaches:
- Agentforce is deeply tied to Salesforce, offering speed, ready-to-use workflows, and built-in compliance.
- Lyzr is platform-agnostic and private-first, giving businesses flexibility, lower marketing costs, and full control over deployment.
To make the choice clearer, here’s how they compare across the dimensions that matter most to enterprises
Deployment & Integration
Lyzr
Lyzr focuses on flexibility and control. It is platform-agnostic, meaning it can run across any CRM, ERP, CMS, or custom stack. Businesses can deploy it in a public cloud, private cloud, or even on-prem, keeping data fully under their control.
This makes Lyzr ideal for organizations with mixed technology environments, where Salesforce might handle sales, HubSpot marketing, and WordPress content. Lyzr agents can sit across these systems and orchestrate workflows without forcing everything into a single ecosystem.
| Feature | Lyzr |
| Ecosystem Fit | Platform-agnostic; works with Salesforce, HubSpot, MS Dynamics, WordPress, custom stacks |
| Deployment Options | Public cloud, private cloud, or on-premises |
| Integration | API-first; connects across tools and systems |
| Data Control | Full, business decides where data lives |
| Trade-Off | Requires some upfront setup effort |
Agentforce
Agentforce is built to seamlessly integrate into Salesforce. For companies already using Salesforce CRM, Service Cloud, or Data Cloud, deployment is almost plug-and-play. Agents can immediately access CRM data, resolve cases, and update dashboards in Tableau or Slack.
For Salesforce-native organizations, this means fast pilots and short time-to-value. Most deployments are up and running within 4–6 weeks, and the learning curve for teams is minimal.
However, outside Salesforce, integration is limited. Connecting to third-party or custom systems usually requires MuleSoft or additional development. This introduces both complexity and ongoing costs for businesses that rely on a diverse stack.
| Feature | Agentforce |
| Ecosystem Fit | Salesforce-native; CRM, Data Cloud, Tableau, Slack |
| Deployment Options | Cloud-based within Salesforce environment |
| Integration | Pre-built connectors for Salesforce tools; MuleSoft for others |
| Data Control | Managed within Salesforce ecosystem |
| Trade-Off | Limited flexibility outside Salesforce |
Total Cost of Ownership (TCO)
When evaluating enterprise AI platforms, the long-term costs often weigh heavier than the upfront investment. Total Cost of Ownership (TCO) includes not just licensing or per-use fees, but also operational dependencies, scaling costs, and ecosystem lock-ins. Here’s how Agentforce and Lyzr differ in their cost models:
Quick Comparison Table
| Factor | Lyzr | Agentforce |
| Pricing model | 40% lower marketing cost, no hidden fees | $2/request, tied to Salesforce ecosystem |
| Ecosystem dependency | None (platform-agnostic) | High (Salesforce-native) |
| Long-term scaling | Flexible, no lock-in | Increasing costs with ecosystem expansion |
| Best fit | Marketing teams, diverse stacks | Salesforce-first enterprises |
Lyzr
Lyzr is designed with cost-efficiency and independence in mind. Marketing teams leveraging Lyzr report up to 40% lower overall marketing costs, thanks to its ability to accelerate SEO blog creation by 70% and automate large parts of the content lifecycle.
Unlike ecosystem-tied platforms, Lyzr doesn’t impose dependency fees, clients host it in their own cloud, ensuring no hidden “platform tax” as they scale.
This makes Lyzr particularly attractive for businesses looking to minimize operational expenses while retaining flexibility.
Agentforce
Agentforce follows Salesforce’s established licensing approach. Its predictable $2/request pricing gives enterprises clarity on transaction-level spending. However, this model is tightly coupled with Salesforce’s broader ecosystem.
To extract full value, businesses often need multiple Salesforce licenses, add-ons, and ongoing subscriptions. Over time, this dependency can result in ecosystem lock-in, making scaling more expensive and reducing optionality for IT teams outside Salesforce.
Which Model Fits Better?
- For Salesforce-heavy enterprises: Agentforce’s pricing aligns well since most of the ecosystem is already in place. Predictable costs per request may feel more transparent for IT-finance alignment.
- For heterogeneous stacks or marketing-driven teams: Lyzr offers lower long-term costs with no forced ecosystem buy-in, making it ideal for businesses that prioritize agility and cost efficiency.
Governance & Compliance
For enterprises, governance and compliance are non-negotiable. Whether it’s handling sensitive customer data, meeting industry regulations, or maintaining audit readiness, the choice of platform must align with strict security and compliance requirements.
| Factor | Lyzr | Agentforce |
| Compliance model | Private-first, data in client cloud | Enterprise-ready guardrails (HIPAA, GDPR, SOC 2) |
| Data control | Full ownership & autonomy | Centralized in Salesforce ecosystem |
| Best fit | Businesses prioritizing sovereignty & autonomy | Highly regulated industries leveraging Salesforce |
Lyzr
Lyzr takes a private-first approach: all data stays within the client’s own cloud environment. This design minimizes third-party exposure and gives organizations direct control over compliance with frameworks like GDPR or HIPAA.
By avoiding ecosystem lock-in, businesses also retain autonomy in setting their own governance policies without relying on an external vendor’s roadmap.
This makes Lyzr especially compelling for companies prioritizing data sovereignty and regulatory autonomy.
Agentforce
Agentforce is enterprise-ready with built-in compliance guardrails. Operating within Salesforce’s infrastructure, it adheres to global standards like HIPAA, GDPR, and SOC 2. Enterprises can benefit from Salesforce’s long track record in regulatory adherence and its robust security certifications.
However, this model centralizes governance within Salesforce, which may limit flexibility for organizations that want more control over how compliance is enforced in multi-cloud or hybrid setups.
Which Model is Stronger?
Lyzr’s private-first deployment model stands out as the stronger choice, giving organizations complete control over sensitive data, governance policies, and regulatory compliance, without relying on an external ecosystem’s guardrails.
Customization & Flexibility
AI platforms often prove their real value in how far they can be tailored beyond out-of-the-box features. Flexibility ensures that businesses can adapt the platform to complex, evolving workflows instead of reshaping their processes around a tool’s limitations.
Quick Comparison Table
| Factor | Lyzr | Agentforce |
| Customization model | Fully extensible, platform-agnostic | Low-code, Salesforce-centric |
| Workflow reach | Beyond CRM, any business process | Primarily CRM and Salesforce workflows |
| Flexibility level | High adaptable across stacks | Moderate, tied to Salesforce |
| Best fit | Businesses needing cross-platform automation | Salesforce-centric enterprises |
Lyzr
Lyzr is built for end-to-end customization. From content workflows to cross-platform automation, it can be extended and configured to fit virtually any business process.
Since it’s not tied to a single ecosystem, teams can mold Lyzr into their environment, whether that means integrating with multiple CRMs, automating marketing operations, or embedding AI into existing applications. This adaptability ensures that organizations are not boxed into predefined use cases.
Agentforce
Agentforce supports low-code customization within Salesforce. Businesses can tweak workflows, add automations, and create custom objects that align with Salesforce-native processes. While this offers flexibility for Salesforce-first organizations, customization remains Salesforce-centric. Extending use cases outside CRM or adapting workflows for mixed stacks often requires additional effort and ecosystem commitment.
Which Model is Stronger?
Lyzr clearly offers greater flexibility, enabling organizations to tailor automation across a wide spectrum of workflows and platforms. Its platform-agnostic design ensures businesses can scale and customize without being bound by ecosystem limits.
Use Cases & Focus Areas
The value of an AI platform is defined by where it delivers the most impact. Both Lyzr and Agentforce provide automation through AI agents, but their focus areas and strengths diverge significantly.
Lyzr
Lyzr is designed to operate across all industries and business functions. Its autonomous agents support a wide spectrum of workflows, including:
- Marketing & Content: End-to-end lifecycle automation from research to SEO blog publication, reducing marketing costs by 40% and accelerating execution by 70%.
- Banking & Financial Services: KYC verification, fraud detection, refund handling, and compliance monitoring.
- Customer Operations: Onboarding journeys, teller assistance, customer surveys, and service automation.
- Document & Data Workflows: Intelligent document processing, predictive analytics, and cross-platform data integration.
Because it is platform-agnostic, Lyzr adapts seamlessly to heterogeneous stacks, integrating with CRMs, CMSs, ERPs, or industry-specific systems. This makes it suitable for enterprises and SMBs alike, enabling them to unify automation across marketing, finance, customer service, and beyond.
Agentforce
Agentforce focuses on Salesforce-native use cases, particularly in sales, service, and operations. Its strengths include:
- Customer Service: Handling order status, returns, refunds, and escalations.
- Sales Processes: Lead qualification, pipeline management, and sales coaching.
- Knowledge Agents: Answering customer queries about pricing, features, or promotions.
- Industry Templates: Pre-built support for verticals like retail, healthcare, finance, and manufacturing.
- Internal Workflows: Employee support, knowledge base automation, and Salesforce workflow orchestration.
Agentforce is strongest when enterprises are already deeply invested in Salesforce as their system of record, making adoption smooth and results immediate.
Which Model is Stronger?
| Factor | Lyzr | Agentforce |
| Industry coverage | All industries & business functions | Primarily Salesforce-driven industries |
| Core workflows | Marketing, finance, operations, compliance, service, data automation | Sales, service, operations within Salesforce |
| Data sources | Any cloud/API, platform-agnostic | Salesforce-native data & connectors |
| Best fit | Enterprises and SMBs needing cross-functional, cross-industry automation | Salesforce-heavy enterprises |
Lyzr is stronger overall because it spans all industries and business functions, not just CRM-centric use cases. Its platform-agnostic foundation ensures businesses can extend automation into marketing, operations, finance, and customer experience without being limited to a single ecosystem.
Developer Experience
The ease with which developers can build, extend, and maintain AI agents plays a crucial role in how effectively a platform scales across business functions.
Lyzr
Lyzr offers a highly flexible developer environment that balances speed and control. Developers can create custom AI agents for any business function, from marketing and sales to HR, finance, and IT.
The platform is platform-agnostic, allowing integration with CRMs, ERPs, CMSs, or any cloud service. This means teams can orchestrate workflows across diverse systems without being restricted to a single ecosystem.
Lyzr supports both low-code templates for rapid deployment and full-code customization for complex scenarios.
Developers can also test agents in a safe environment, monitor performance, and fine-tune behavior without interrupting live workflows. This combination of flexibility, observability, and autonomy enables teams to innovate quickly while maintaining governance and security.
Agentforce
Agentforce is designed for developers working within the Salesforce ecosystem. It leverages Salesforce Flow, Apex, and pre-built templates to automate CRM-centric workflows such as lead routing, case triaging, and service automation.
While development within Salesforce is smooth and predictable, customization beyond the CRM environment can be challenging. Observability and testing are tied to Salesforce tools, which can limit flexibility for teams working across multiple platforms.
Which Model is Stronger?
Lyzr provides a more versatile developer experience. Its combination of low-code acceleration and full-code extensibility, coupled with cross-platform flexibility, empowers developers to innovate across industries and functions, without being confined to a single ecosystem.
Lyzr Advantage
Across deployment, speed to value, customization, governance, scalability, and ROI, Lyzr consistently demonstrates broader applicability and higher flexibility than Agentforce. Its design allows organizations to scale AI automation across all industries and business functions, from marketing and sales to HR, operations, and finance, without being tied to a single ecosystem.
Lyzr’s private-first approach ensures data stays in the client cloud, giving businesses autonomy over governance, compliance, and security.
Developers benefit from both low-code acceleration and full-code extensibility, enabling rapid innovation across workflows. Combined with cost efficiencies, up to 40% lower operational costs and 70% faster workflow execution , Lyzr provides a sustainable, high-impact ROI.
In short, Lyzr is not just an AI agent solution; it is a comprehensive, enterprise-ready system for organizations seeking flexibility, control, and measurable business value across every function and industry.
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