The Importance of Orchestration for Running AI Agencies at Real Scale

[Erkan Teskancan]

The potential for AI agents to automate complex information-based tasks is seen as a major opportunity for many industry leaders. However, the widespread implementation of this technology is not fully delivering the expected benefits.

According to Camunda's 2026 report, 73% of organizations acknowledge a significant gap between the vision for AI agents and the current reality. Yet, only 10% of AI agents reached the production stage last year.

### Trust Issues in Agentic AI

Companies know that AI can make significant contributions to augmenting human work, but they cannot widely use the technology due to trust issues. Lack of IT control, absence of process transparency, compliance concerns, and insufficient expertise hinder AI adoption, especially in heavily regulated sectors such as banking, healthcare, and insurance.

### AI Adoption Stuck in Pilot Phase

While organizations are open to using AI for low-risk tasks or internal support applications like chatbots, they remain cautious in critical and regulated processes. In fact, 50% of leaders believe that uncontrolled AI use will lead to poorly designed automations.

However, this cautious approach means missing out on the potential efficiency gains of AI. Integrating AI agents into processes through orchestration offers great opportunities in terms of customer experience and operational management.

### Orchestration: The Missing Link in Scaling AI

88% of IT leaders agree that AI needs to be orchestrated across business processes to maximize the benefits of AI investments. 90% also believe that AI should be integrated into process management, like other systems, to ensure compliance with regulations. However, most organizations have not yet reached this level of maturity.

Orchestration, by combining deterministic process models with AI, allows for:

• Controlling where and how AI operates within the process
• Identifying decisions that require human intervention
• Ensuring the auditing and recording of outputs
• Guaranteeing that every action is part of a transparent and traceable flow

This way, AI agents remain controlled and auditable while adapting to real-time information.

### Building Trust and Creating Value

Agentic orchestration is key to bridging the gap between the AI vision and reality. If the right structure is established, AI agents can move beyond pilot application experiences by being integrated into managed and transparent processes. This increases efficiency, improves customer experience, and achieves measurable business outcomes.