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Launch of new operating model translates AI potential into bottom-line impact

The new platform, named Agentic Orchestration Studio (AOS), is built for organizations looking to move from fragmented automation to end-to-end orchestration of business-critical processes driving improved decision-making and faster execution.
-By Twoday Press Releases
Agentic ORchestration Studio

2026 is shaping up to be the year when AI truly delivers measurable business impact. This is the view of several experts, including the global consulting firm McKinsey & Company, which recently stated that it expects fewer experiments and more tangible returns from AI investments. In response, Twoday is launching a new platform designed to help organizations orchestrate people, systems, and AI agents within a unified and governed operating model.

The platform, named Agentic Orchestration Studio (AOS), is built for organizations looking to move from fragmented automation to end-to-end orchestration of business-critical processes driving improved decision-making and faster execution.

At its core, the solution enables organizations to easily document and manage processes from task allocation and decision points to applications and AI agents in use. This provides a comprehensive, data-driven overview of how work is performed, while ensuring governance and compliance throughout.

Orchestration as a management discipline

In the short term, this leads to increased transparency, fewer manual handovers, faster adaptation to regulatory requirements, and better utilization of existing technology investments. In the long term, it provides management with a strategic control tool that enables continuous optimization and a more agile operating model, which are key factors in strengthening competitiveness in a market characterized by growing complexity and increasing compliance demands.

The launch follows Gartner’s introduction of Business Orchestration and Automation Technologies (BOAT) as a stand-alone technology category in 2025. BOAT represents a shift from traditional process automation toward a more adaptive operating model, where organizations can respond in real time to changes in markets, regulations, and customer needs.

“For years, companies have automated tasks and processes without fundamentally changing how the business operates. With AOS, we make orchestration the backbone of the business. It’s not just about adding AI to existing workflows, it’s about creating full transparency across processes, roles, systems, and decisions, all managed and documented within a single model,” says Business Director at Twoday, Simon Berthelsen.

A technological shift: From automation to documented orchestration

For many years, automation has been a key efficiency driver for organizations. According to Gartner, this approach is no longer sufficient in a landscape defined by increasing complexity and widespread AI adoption. IT audits, ISO and ISAE certifications, as well as regulations such as DORA, are placing growing demands on organizations to document their processes.

“We’re seeing that automation alone is no longer enough. Now it’s about orchestration. With AOS, organizations can map end-to-end processes across teams and systems, integrating applications, AI agents, and human roles directly into workflows. At the same time, traceability and governance are embedded into business-critical processes, making AOS a control layer for the organization’s entire digital operations,” Berthelsen elaborates.

Collaborative AI in practice

AOS supports a collaborative approach to IT, enabling multiple AI agents to work together in structured workflows, combined with human-in-the-loop models where people retain decision-making authority.

“We see a strong need for collaborative AI, where humans and agents work side by side, especially in industries with strict compliance and documentation requirements, such as finance, insurance, life sciences, and the public sector,” Berthelsen continues.

Scaling AI requires governance and transparency

Agentic AI holds significant potential for efficiency gains and innovation, but it also introduces high demands for governance and compliance. Without a structured framework, organizations risk losing oversight, creating new silos, or failing to anchor AI initiatives in real business value. Twoday’s AOS platform is designed for enterprise environments where traceability and human oversight are critical.

According to Berthelsen, AI without orchestration will either become chaotic or impossible to scale.

“Our solution ensures that AI agents operate within clear frameworks and full transparency. At the same time, processes and roles are automatically documented, making it significantly easier to meet regulatory requirements.”

Built for enterprise and regulated markets

AOS is designed for large private enterprises and public organizations with complex processes and high governance requirements. As regulation and oversight increase, so does the need for a unified control and documentation layer between business, IT, and compliance.

The solution acts as a bridge between strategy and execution by creating transparency across organizational silos and enabling leadership to document, manage, and adjust processes without initiating large-scale system projects.

AOS can be applied across industries and functions, including HR, finance, IT, and shared services, and supports a more adaptive operating model, allowing organizations to scale and respond to market changes with shorter implementation times.

With this launch, Twoday positions itself in a market increasingly focused on operationalizing AI and documenting business value.

Facts: What is BOAT?

Business Orchestration and Automation Technologies (BOAT) is a technology category defined by Gartner in 2025.

BOAT platforms combine:

  • Process and business orchestration
  • Automation and workflow
  • System integration
  • AI and agentic technologies

The purpose is to orchestrate end-to-end business processes across people, systems, and AI placing governance and business logic at the center.

BOAT differs from traditional automation by focusing on the management and coordination of value streams, rather than automating individual tasks.

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