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Exploring agent frameworks
Work with our team on defining your workflows, exploring multiple paths to solve problems based on tasks, and analyzing the critical capabilities your agents may struggle with.
Team · Services · Agents · Rollout · Fit
Designing your solution.
Achieving the right balance between an agent’s autonomy for efficiency and scale, and reliable control and traceability for safety and trust.
Agents are models using tools in a loop. We build and test them without getting stuck in technical complexity, working with your domain experts on which actions to give each agent and how to instruct it.
Rollout
From business issue to production.
Work with a broad operations and business issue.
Identify specific pain points within existing workflows.
Define a tractable scope for an initial proof of concept.
Build a minimally viable solution, deploy it for immediate feedback, and iterate in real time based on user reactions.
Scale use cases: complexity, variability, regularity, mutability.
AI model optimization: dataset readiness and calibration, plus an evaluation framework (“evals”).
Deploy onto production infrastructure, on-premises or in the cloud.
Monitor for the right balance between an agent’s autonomy for scale and reliable traceability for safety.
Continuously ensure higher adoption and user satisfaction.
Long-term advisory and support.
