ai-orchestration
The Breaking Point of Automation
For fifty years, German industry has automated machinery, but the dialogue between customer and supplier remains a manual process that takes weeks. When a complex product is sold, hundreds of pages of unstructured specifications — in multiple languages, with drawings, regulations, and standards — are analyzed by commercial engineers, legal professionals, and technicians. The average time to respond to a request for quotation (RFQ) is estimated between 30 and 60 days.
Atira has raised $17.5 million in a round that included a $15 million seed round led by Accel. This is not an investment in a language model; it’s a bet on the ability to orchestrate AI agents to manage complex workflows between CRM, ERP, and legacy systems without direct human intervention.
The Orchestration Mechanism
Atira’s architecture is not based on a single model, but on a network of specialized agents that operate in sequence: one extracts and classifies requirements from unstructured documents; a second verifies technical feasibility with internal data; a third generates output such as production configurations or documentation for the customer. Each agent operates on a portion of a task, communicating with each other through standard APIs.
The critical point is not the accuracy of the model, but the latency in transitioning from one state to another: if agent A sends data to agent B and this takes more than 15 seconds to respond, the flow stops. In legacy systems, this latency is caused by unoptimized databases, APIs with fixed timeouts, or lack of federated authentication between systems.
Human voices and the tension of expectations
The announcement from Accel states: “Processes in the company have been automated for fifty years, but what lies ahead — the dialogue between customer and supplier — has remained unchanged.” This public narrative emphasizes a break with the past. However, technical data show a different picture: integration not only reduces time, but also introduces new points of failure.
“Factories have been automated for fifty years. The process in front of them, the conversation between a customer and a supplier, has barely changed at all.” — Accel
Legacy systems are not simply slow; they are often designed to be inviolable, with strict access controls and audit logs that block the flow. Orchestration requires a level of dynamic authorization between agents that goes beyond existing policies.
Implications and Future Outlook
The initial excitement suggested a direct replacement of human labor. However, the data shows the emergence of a new type of engineer: one who doesn’t program but configures workflows, sets priorities among agents, and monitors anomalous behavior. The value shifts from the model to the system.
The key metric is the average time to respond to an RFQ: 60 days on average. If Atira can reduce this to less than 72 hours, the ROI will not be in the cost of the model but in the ability to acquire new contracts before competitors act.
Photo by Chris Ried on Unsplash
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