Optimize
Continuously improve your AI system
Reduce AI costs, improve system performance, and adopt new capabilities when they create measurable value.
Keep your AI system efficient and current
Optimization starts with the system you already have. We review how models and AI agents are used, how the system performs, what it costs, and feedback from the users and domain experts closest to the workflow.
We optimize model selection and agent behavior, including instructions, context use, tool calls, and task execution. We also reduce token costs and set clear budget controls.
We evaluate new AI capabilities and model options as they become available. When an option can reduce cost, improve performance, or add useful capability, we help you adopt it.
Deliverables
AI cost and budget controls
Optimize AI inference costs. Set clear budget controls and maintain visibility into AI spend.
Model selection and performance optimization
Compare model options against your workload to find the right balance of cost, performance, and capability.
AI capability evaluation and adoption
Evaluate new AI capabilities against your workload and help you adopt the options that reduce cost, improve performance, or add useful functionality.
User and domain feedback
Gather feedback from the users and domain experts closest to the workflow and use it to identify focused optimization opportunities.
Flexible model management
A model management approach that makes it practical to compare and switch models as requirements change.
Process
Review the current system
Start with model usage and agent behavior. Review system performance, token costs, budget controls, and feedback from users and domain experts.
Optimize models and agents
Refine model selection, agent instructions, context use, tool calls, and task execution. Reduce unnecessary token use and configure clear budget controls.
Evaluate new options
Run representative workflow tasks with relevant models and new AI capabilities. Compare their cost, performance, and usefulness before recommending what to adopt.
Implement and repeat
Implement the selected changes. Gather feedback from users and domain experts, then use it to guide the next optimization cycle.