Are your GenAI tools delivering value, or quietly burning budget and adding latency as you scale?
Tool cost and resource optimization is a foundational capability for production GenAI platforms, shaping how assistants, copilots, and orchestration layers behave under real workloads. Done poorly, it leads to brittle systems, surprise bills, and frustrated users.
To win, your GenAI solutions need to run on cost-efficient, low-latency tool strategies that scale with demand.
The Challenge
Without a strong approach to tool cost and resource optimization, teams struggle to:
- Unpack True Costs — Understand how tool mix, call patterns, and model choices actually drive spend.
- Control Latency at Scale — Manage cascading delays from chat, tools, and orchestration across environments.
- Make Data-Driven Placement Decisions — Decide what runs at the edge vs cloud based on evidence, not convenience.
Unoptimized tool usage will drive avoidable spend, latency issues, and mounting operational risk for your GenAI stack.
Our Solution
In this hands-on workshop, your team designs, implements, and validates cost-aware caching, tiering, and placement strategies using curated notebooks, sample workloads, and observability dashboards. Areas of focus include:
- Memoization & Caching — Capture and safely reuse expensive tool results to cut redundant calls and spend.
- Tiered Tooling Flows — Escalate from low-cost heuristics to premium tools only when necessary.
- Edge vs Cloud Placement — Balance cost, latency, and data gravity when deciding where workloads run.
- Interactive Labs & Dashboards — Explore how real tool call patterns impact cost and latency using prebuilt environments.
- Capstone & Live Coaching — Assemble an end-to-end optimization blueprint with expert feedback and governance alignment.
Skills You'll Gain
- Cost-Aware Design — Build assistants and orchestration flows that keep tool spend under control as usage grows.
- Latency-Optimized Tooling — Design paths that stay responsive while respecting budget and rate limits.
- Reusable Optimization Playbooks — Create patterns, guardrails, and dashboards your teams can reuse across products.
- Stakeholder Alignment — Explain and justify tradeoffs to finance, risk, and product partners with clear data.
- Confident Scaling — Support more GenAI use cases without losing control of budgets or performance.
Who Should Attend:
Solution Essentials
Format
Virtual or in-person
Duration
4 Hours
Skill Level
Intermediate software or platform engineering experience recommended
Tools
- Preconfigured notebooks, observability dashboards, and sample tool workloads
Explore the Remaining Advanced GenAI Tools Certification Workshops
Help your teams master advanced GenAI Tool concepts and solutions. Click below to explore the remaining workshops in the Advanced GenAI Tools certification series.
Orchestration & Control
Monitoring, Reliability & Change Management
Explainability & Customization
MCP & Model + Tool
Co-Processing
Co-Processing
Self-Tuning / Adaptive Tool Invocation