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Desia Team
Company
December 1, 2025
Financial workflows are not uniform. Some steps demand precise extraction, others require deeper reasoning or fast summarization. No single model performs best across all of these tasks, and this variation is why orchestration plays such an important role inside Desia, and remains one of the platform’s core strengths.
A single workflow might involve retrieving a specific version of a file, interpreting tables and KPIs, reconciling discrepancies across sources, and producing an output that follows a firm’s established structure.
Extraction, reasoning, summarization, modeling, and drafting, each place different demands on a model.
Expecting one model to handle all of them equally well leads to inconsistent results.
Desia addresses this by routing each step of a workflow to the type of model that performs strongest for that specific task.
At the center of the platform is Desia’s orchestration layer, which analyzes each task and routes it to the model best suited for it.
Different providers excel in different areas: some models are consistently stronger at extraction, others at long-form reasoning or at generating clean, structured output. Through continuous evaluation against defined metrics, the orchestrator builds a detailed understanding of these strengths and uses them to decide whether a given step should rely on a high-precision extractor, a reasoning-optimized model, or a generator tuned for clarity and structure.
Instead of forcing a single model to handle every part of a workflow, the system assembles the right mix for each task so the overall process remains reliable, consistent, and performant.
The routing logic evolves over time. As new models are released or existing ones change, Desia benchmarks them across extraction, reasoning, summarization, drafting, and cross-file consistency. These evaluations feed directly into the orchestration framework, allowing weights, behaviours, and routing decisions to shift as performance data changes.
Real-world usage provides an additional signal: feedback from users across a wide range of workloads reveal where certain models excel and where they underperform. This makes testing, updating, and experimenting with new models a built-in part of the platform’s operation rather than an engineering lift.
The result is an orchestration layer that becomes progressively more accurate, more stable, and increasingly aligned with how analysts actually work.
For teams preparing to integrate AI into their financial workflows, Desia offers a reliable and bespoke path forward.
Contact us to explore how AI can support your investment workflows.
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