What are business orchestration and automation technologies (BOAT)?
Business orchestration and automation technologies (BOAT) is a consolidated suite of enterprise technologies serving as a single platform and unified control plane for designing, orchestrating, and governing end-to-end business processes across people, systems, and AI agents.
BOAT at a glance
Business Orchestration and Automation Technologies (BOAT) is a category of enterprise platforms that acts as a unified control plane for agentic operations. It allows organizations to build, run, and govern AI-driven workflows across people, systems, automation, and AI agents—bringing together orchestration, business process automation, connectivity, and governance in a single platform. This makes it possible to scale agentic operating models across complex enterprise processes while maintaining visibility, control, and adaptability.
Category adoption
Gartner predicts broad adoption of BOAT platforms, increasing from about 5% of enterprises today to 70% by 2030—a 34% compound annual growth rate.
Why it has emerged
Enterprises increasingly need technology that can coordinate AI-driven workflows, automation, and human work across complex business processes and disparate systems. Yet many organizations rely on fragmented automation stacks built from multiple tools that manage only parts of the process. BOAT platforms address this challenge by providing a single platform that orchestrates and governs execution end to end.
What makes BOAT different
BOAT is purpose-built to manage and scale automated, AI-powered business operations. It gives enterprises a unified platform that combines the orchestration, intelligent and agentic automation, and governance capabilities needed to accelerate modern digital transformation initiatives and enable companies to leverage AI and AI agents at scale.
Core capabilities
BOAT platforms combine process orchestration and case management, enterprise automation (including RPA and APIs), document intelligence and IDP (intelligent document processing), multi-agent coordination, governance and observability, and process intelligence.
Benefits it delivers
BOAT enables reliable end-to-end automation to streamline complex workflows, safe scaling of AI agents and AI-powered business processes, reduced tool fragmentation across enterprise systems and apps, improved operational efficiency, and continuous process improvement.
Why BOAT matters now
Enterprises are entering the agentic era, where AI agents increasingly participate in and execute business processes. Organizations require new technology in order to succeed in scaling agentic AI—technology that provides the operating infrastructure and the unified set of tools and capabilities required to orchestrate, automate, and govern complex workflows and agent-executed autonomous work.
BOAT has emerged in response to these needs—and industry analysts project rapid and broad adoption. In fact, according to Gartner Predicts research (2025), by 2030, 70% of enterprises will have adopted consolidated business orchestration and automation platforms. Adoption is being driven by three key forces:
The strategic imperative to scale agentic AI
Across industries, executives increasingly see agentic AI as a transformative force that will fundamentally change how their companies create value and compete. Analysts predict that autonomous systems will soon make a meaningful share of routine business decisions, and AI agents will become embedded across enterprise applications.
Organizations that that are slow to adopt new operating models risk falling behind competitors that can automate decisions, accelerate operations, and deliver services more efficiently.
The need for durable orchestration, governance, and observability
As organizations scale agentic operations, execution becomes more autonomous and multi-actor. AI agents, automation, and humans must collaborate across multiple systems while processes continue over time, branching through decisions, exceptions, and approvals.
Supporting this model requires a range of new capabilities. Processes must maintain durable state across long-running work, coordinate multiple actors within structured workflows, and enforce governance mechanisms that manage decisions, exceptions, and policy boundaries. Autonomous actions must remain observable and auditable to maintain operational control.
Capabilities gaps and fragmentation across existing tools
Most enterprises built their automation and business process management environments incrementally. Workflow tools, business process automation (BPA) and robotic process automation (RPA) platforms, integration layers, and document processing systems were introduced to solve specific problems such as process modeling, task execution, or system connectivity.
As a result, many organizations are dealing with tool sprawl—fragmented automation silos where different tools handle repetitive tasks, data entry, or workflow steps but cannot coordinate complex autonomous processes across disparate systems.
From workflow to BOAT: how the category evolved
To understand why BOAT platforms have emerged as the foundation for agentic operations, it helps to examine how enterprise automation technologies evolved—and why earlier generations of tools could only solve part of the execution problem.
BOAT integrates different types of business process technologies and enterprise automation platforms, each solving a different part of the challenge of coordinating digital work across systems. At the same time, BOAT platforms introduce new capabilities required for operating agentically—such as durable process state, multi-actor coordination, and governance of autonomous actions. To understand why this approach is necessary—particularly in scaling agentic operations—it helps to look at how enterprise automation technologies have evolved.
The earliest generation of tools focused on process modeling. Business process management (BPM) platforms helped organizations visualize and manage workflows across departments and systems. They elevated thinking from individual tasks to end-to-end processes. But BPM systems typically assumed that the tasks within those processes could be executed reliably through APIs or integrations. In many real-world environments—especially those involving legacy systems—those interfaces simply did not exist.
The next wave of technology focused on task execution. Robotic process automation (RPA) made it possible to automate repetitive tasks directly through application interfaces, allowing software robots to perform the same steps a human would. This solved the execution problem for many deterministic, rule-based tasks. However, RPA alone could not always manage the broader context of a business process. Processes that branched based on conditions, required judgment, or involved multiple systems still depended on external orchestration and manual intervention.
At the same time, integration platforms (iPaaS) evolved to connect systems and move data between them. These tools improved integration across apps and connectors, but typically focused on data movement rather than enabling complete business process automation.
More recently, AI orchestration platforms have begun managing the behavior of AI models and agents. They introduce intelligence and reasoning into workflows, enabling systems to interpret documents, make decisions, and collaborate with people. But these platforms generally operate at the level of agent behavior rather than the execution of complete business processes.
The table below summarizes the various technologies.
How enterprise automation technologies evolved toward BOAT
As the table suggests, each of these technologies solved a piece of the execution problem. But none of them alone could coordinate the full lifecycle of work across people, systems, automation, and AI agents.
Enterprises attempted to approximate orchestration by stitching these tools together—often accumulating six or more disjointed technologies, e.g., workflow systems to model processes, RPA to execute tasks, integration platforms to move data, and AI tools to support decision making. But these technologies lacked a shared execution model, making it difficult to coordinate work reliably at scale, and creating automation silos that stymied full end-to-end process automation.
BOAT platforms solve this problem. Instead of existing as separate tools, key capabilities are unified within a single execution layer. At the same time, BOAT platforms introduce new capabilities required for operating agentically—such as durable process state, multi-actor coordination, agent governance, and observability across autonomous execution.
Together, these capabilities allow enterprises to coordinate people, automation, and AI agents within the same operational framework while maintaining policy control as work progresses across systems.
Key capabilities of BOAT platforms
BOAT platforms provide a unified execution environment that acts as the system of action for building, running, and governing complex workflows across a diverse enterprise environment.
BOAT architecture: layered and unified
BOAT platforms organize automation, orchestration, and AI capabilities into a layered, unified architecture. Each layer contributes the capabilities required to coordinate business processes across people, systems, automation, and AI agents.
Infrastructure layer
Provides the underlying platform services required to run BOAT environments, including observability, security, DevOps, analytics, and platform administration.
Advanced AI layer
Adds intelligence capabilities that support AI-driven operations, including generative AI, multimodal AI, agent building tools, and multi-agent orchestration.
Core orchestration layer
Coordinates execution of business processes. This layer includes process orchestration, agentic case management, workflow management, and low-code development environments.
Foundational automation layer
Delivers the execution mechanisms that interact with enterprise systems. These include RPA, API integration, event-driven architectures, document ingestion, and process design tools.
How does BOAT enable agentic operations?
Agentic operating models use AI agents to interpret information, make decisions, and act across enterprise systems. BOAT platforms provide the system of action required to build, run, and scale AI-powered workflows while maintaining governance, adaptability, and operational control.
What are common BOAT use cases?
BOAT platforms significantly expand what can be automated and where agents can be used, making it possible to address a wide range historically “automation-resistant” processes that:
Span multiple systems and involve complex workflows
Do not progress in a predictable or linear way
Require gathering and processing of large volumes of unstructured data
Generate many exceptions
Require significant review and human-in-the-loop oversight
Have stringent compliance requirements
Horizontal (cross-industry) use cases
Many BOAT use cases apply across industries and business functions, enabling organizations to coordinate common processes across teams, systems, and workflows.
Customer onboarding
Accelerate the process from intake to activation
Coordinate identity verification, document processing, approvals, and provisioning across teams and systems.
Claims and case processing
Orchestrate complex case lifecycles with visibility and control
Manage data collection, reviews, and investigations with seamless handoffs between people and automation.
Invoice-to-pay
Streamline accounts payable from invoice capture to payment
Automate data extraction, approval routing, and payment execution to improve accuracy and cycle time.
Order-to-cash
Accelerate order processing from capture to cash collection
Speed revenue realization by automating order entry, fulfillment, invoicing, and payment reconciliation.
Vertical agentic solutions
BOAT platforms provide execution, management, governance, and orchestration for a range of fast-to-launch solutions combining domain expertise, automation, and AI decision-making.
Healthcare operations
Streamline patient access and care coordination
Orchestrate intake, prior authorizations, claims adjudication, and clinical documentation across providers, payers, and systems.
Financial services
Strengthen risk, compliance, and customer lifecycle processes
Coordinate loan origination, KYC verification, fraud investigations, and regulatory reporting with end-to-end visibility.
Insurance operations
Modernize underwriting and claims management
Manage policy lifecycle processes, including underwriting reviews, claims adjudication, servicing, and compliance across systems.
Manufacturing supply chain
Synchronize planning, production, and fulfillment
Coordinate order processing, procurement, logistics, and exception handling across suppliers, plants, and distribution networks.
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Implementation best practices
Implementing BOAT requires clear ownership, measurable goals, and disciplined execution to support enterprise application development, automation strategy, and long-term scalability.
Choose the right processes first. Focus on cross-system, long-running workflows.
Understand the process in detail. Use process mining and discovery to identify where value lies.
Set measurable performance goals. Baseline cycle time, cost, quality, and compliance.
Design orchestration as the source of truth. APIs, bots, RPA, and agents execute within a coordinated model.
Standardize execution patterns early. Establish consistent governance and exception handling.
Scale deliberately and refine continuously. Pilot, measure, expand, and optimize.
Frequently asked questions
What does BOAT stand for?
BOAT stands for ‘business orchestration and automation technologies,’ a category of enterprise platforms that orchestrates and automates end-to-end business processes across people, systems, and AI agents from a single control plane.
Why are organizations adopting BOAT now?
Adoption is accelerating as enterprises introduce AI agents into core workflows and seek to consolidate fragmented automation tools into a unified execution platform.
How is BOAT different from BPM?
BPM focuses on workflow modeling and execution. BOAT extends BPM-style orchestration with automation, connectivity, AI agents, and governance at enterprise scale.
How is BOAT different from RPA?
RPA automates discrete tasks. BOAT coordinates entire business processes, using RPA as one execution method within a broader orchestration model.
Can BOAT orchestrate third party or multivendor AI agents?
Yes. Modern BOAT platforms coordinate heterogeneous agents—including third-party systems—within structured workflows governed by shared policies and controls.
How does BOAT support regulated or hybrid environments?
Enterprise-grade BOAT platforms support cloud, dedicated, and on-premises deployments. Combined with role-based access controls, audit trails, and policy enforcement, this allows organizations to meet security and compliance requirements.
How do organizations measure success with BOAT?
Common metrics include cycle time reduction, straight-through processing rates, cost per case, service-level agreement (SLA) attainment, compliance outcomes, and user experience improvements.
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