In 2025, enterprises aren’t just automating workflows, they’re orchestrating intelligence across every layer of their tech stack. From SaaS platforms to AI agents, business systems now need to communicate in real-time, act autonomously, and adapt intelligently. At the core of this transformation lies one crucial layer: integration.
Enterprise integration tools have become the connective tissue that links CRMs, ERPs, databases, cloud services, APIs, and now large language models (LLMs). They’re essential for moving data, triggering processes, and enabling consistency across distributed systems. But integration alone isn’t enough.
That’s where orchestration platforms like Knolli come in, acting as the control plane above your integration stack. While tools like Workato, Boomi, and MuleSoft handle connectivity and automation, Knolli coordinates the intelligent, secure, and scalable interaction among models, agents, and workflows.
This article explores the top enterprise integration platforms driving automation in 2025, and how pairing them with orchestration tools like Knolli enables scalable, AI-first enterprise operations.
Enterprise integration tools are platforms designed to connect applications, systems, data sources, APIs, and now AI models across an organization. They serve as the infrastructure that ensures data flows securely and consistently between cloud apps, on-premise systems, and third-party services.
These tools go beyond simple automation. They enable API orchestration, data transformation, and real-time triggers, critical for modern workflows that span CRMs, ERPs, databases, LLMs, and internal APIs. Tools like MuleSoft, Workato, and Boomi enable the synchronization, transformation, and routing of data between systems with minimal manual intervention.
In 2025, their role has expanded further. Enterprises are increasingly embedding AI into operations, and integration platforms are foundational to that shift. They expose events and endpoints that trigger AI-driven actions, whether a model generates insights, an agent completes a task, or a human steps in for final review.
Integration tools often work in tandem with orchestration platforms like Knolli, which manage the logic, governance, and coordination of workflows that span multiple systems and agents. Together, they form the backbone of scalable enterprise automation.
Enterprise-grade integration tools go far beyond basic app connectors or automation flows. They’re built to support complex, regulated environments where security, scalability, and governance are non-negotiable. These tools are foundational to running mission-critical workflows, especially when paired with orchestration platforms like Knolli.
Here are the defining traits that make an integration platform enterprise-ready in 2025:
When integration tools include these capabilities, and when paired with an orchestration layer like Knolli, they form a resilient, scalable, and secure foundation for enterprise automation.
The integration landscape in 2025 is filled with powerful platforms tailored for different enterprise needs, from deep API management to low-code automation. Below are the most trusted tools enterprises are using to connect, scale, and orchestrate their operations.
A modern AI orchestration platform designed to coordinate enterprise workflows across LLMs, agents, SaaS apps, and internal systems. Knolli connects with integration tools like Boomi, Workato, and n8n to route tasks, apply model logic, and embed governance into every flow. With built-in audit trails, RBAC, human-in-the-loop support, and real-time observability, it serves as the orchestration layer that brings intelligence and control to your integration strategy.
Best For: AI-driven workflow orchestration layered over existing integration platforms.
Key Strengths: Multi-model routing, real-time orchestration, enterprise-grade governance, seamless integration compatibility.
An API-first platform designed for large enterprises that need strong security, lifecycle management, and policy enforcement. Its API gateway and developer-centric tools make it ideal for regulated industries and Salesforce-centric organizations.
Best For: API-led enterprise integration with advanced governance.
Key Strengths: Reusable APIs, policy enforcement, robust monitoring.
A cloud-native platform combining low-code workflow automation with AI-powered integrations. Known for fast deployment, enterprise connectors, and strong support for business and IT collaboration.
Best For: Scalable cloud automation across departments.
Key Strengths: Built-in AI agents, customizable logic, strong SaaS integration.
Boomi connects cloud and on-prem systems through a visual UI and a rich catalog of prebuilt connectors. Its support for B2B/EDI, API management, and master data handling make it versatile for hybrid environments.
Best For: Hybrid deployments with diverse integration needs.
Key Strengths: Fast deployment, data governance, API + EDI integration.
This AI-powered, low-code platform uses visual pipelines (“Snaps”) to connect applications, services, and data lakes. Its Iris AI engine improves mapping, transformation, and routing with smart suggestions.
Best For: AI-driven integration and low-code data flows.
Key Strengths: AI-assisted UX, wide app connectivity, fast deployment.
A long-standing leader in data integration and governance. Informatica enables large-scale data management, from ingestion and quality checks to cloud migration and security compliance.
Best For: Data-heavy integration in large enterprises.
Key Strengths: Data lineage, governance, support for complex pipelines.
Specializes in iPaaS for mid-to-large enterprises with SaaS-heavy workflows. Its error management and business logic configurability make it a favorite among finance and operations teams.
Best For: Finance and ops integration with SaaS systems.
Key Strengths: Real-time error handling, scalable architecture, and user-friendly.
A developer-friendly tool that blends low-code tools with open-source flexibility. Known for fast onboarding, prebuilt connectors, and seamless integration into DevOps workflows.
Best For: Agile teams needing fast, flexible integrations.
Key Strengths: Open-source roots, quick deployment, Git-friendly.
A secure platform for publishing, monitoring, and protecting internal and external APIs. Deep integration with Azure services makes it a key part of cloud-native and hybrid environments.
Best For: API lifecycle management in Microsoft environments.
Key Strengths: SSO, traffic monitoring, usage analytics, hybrid support.
A no-code tool for connecting thousands of apps quickly. While best for small teams, Zapier’s enterprise plans include RBAC and advanced workflow features.
Best For: Lightweight automation in smaller teams or departments.
Key Strengths: Rapid setup, app ecosystem, easy-to-use UI.
An open-source, self-hosted automation platform that appeals to developers and security-conscious teams. Offers strong extensibility, Git integration, and JavaScript-based custom logic.
Best For: Teams wanting control over automation and hosting.
Key Strengths: Full self-hosting, source control, plugin extensibility.
While enterprise integration tools move data and trigger processes, orchestration platforms like Knolli determine how, when, and why those processes unfold, especially in AI-enabled environments. Integration gets systems talking; orchestration ensures they act intelligently, in the right order, and under the right governance.
Knolli operates as an AI-first orchestration layer built for enterprises that need to coordinate multi-agent systems, large language models (LLMs), SaaS tools, and human decision points, all within secure, observable workflows. Where tools like Boomi, SnapLogic, or MuleSoft manage data flow, Knolli manages task flow, decision logic, and model routing.
For example, in a financial reporting workflow:
Knolli also provides enterprise-grade controls, including:
It seamlessly integrates with existing integration tools, transforming them into part of a larger orchestration framework. This makes Knolli a critical part of the enterprise automation stack, especially for teams deploying AI workflows at scale.
Enterprises are increasingly layering AI orchestration on top of traditional integration stacks to automate high-value workflows across departments. While integration tools connect systems and move data, orchestration platforms like Knolli handle decision logic, model selection, task delegation, and compliance, all in real time.
Here are some ways modern enterprises are combining both layers effectively:
In finance operations, platforms such as Celigo and Boomi sync data from ERP systems like NetSuite and Microsoft Dynamics. Once that data is structured, Knolli activates an AI agent that forecasts financial outcomes, generates reports using LLMs, and routes the outputs to CFOs for approval, all while maintaining traceability and audit logs.
In customer support automation, Workato or SnapLogic pulls support ticket data into a shared repository. Knolli then orchestrates AI agents that classify issues, suggest responses, or escalate based on sentiment and SLA policies. The orchestration layer ensures model accuracy and includes human intervention where needed.
For IT incident response, tools like n8n detect system errors and trigger Knolli workflows to classify incidents, route them to the correct LLM or knowledge agent, and escalate unresolved issues to on-call engineers. This reduces MTTR (mean time to resolution) while ensuring transparency and control.
In sales and marketing, Zapier or Jitterbit connects CRM systems like HubSpot or Salesforce. Knolli then coordinates content generation, lead prioritization, or customer follow-ups using the most relevant AI model, based on behavior or deal stage.
This orchestration-integration combination enables enterprises to automate not just actions, but entire processes with context, control, and intelligence.
Enterprise integration tools have become essential for automating data movement and connecting business systems. But in 2025, integration alone isn’t enough. As AI becomes embedded into workflows, enterprises need more than just connectivity, they need orchestration.
Platforms like MuleSoft, Boomi, Workato, and SnapLogic form the foundation of integration. But it’s orchestration platforms like Knolli that bring coordination, governance, and intelligence to the entire system. Knolli enables enterprises to route tasks across models, agents, and tools with observability, control, and scale.
The future of enterprise automation depends on this layered approach. By combining best-in-class integration platforms with powerful AI orchestration, organizations can move beyond isolated automations to fully coordinated, AI-driven workflows.
As you evaluate your integration strategy, consider where orchestration fits and how tools like Knolli can elevate your existing stack into a future-ready automation engine.
Integration connects systems and enables data flow between applications. Orchestration manages how those systems, data, and AI models interact within workflows—controlling logic, model routing, and human-in-the-loop actions. Platforms like Knolli.ai complement tools like Boomi or Workato by adding workflow intelligence and governance.
The best enterprise integration tool depends on your organization’s scale, infrastructure, and automation needs. For enterprises looking to go beyond data syncing and into intelligent, AI-driven workflows, Knolli.ai stands out as the leading choice. It not only integrates with existing platforms like Boomi, Workato, and MuleSoft but also adds orchestration, model routing, and real-time governance. This makes Knolli.ai the most powerful integration and orchestration solution for enterprise environments in 2025.
