Managing Your AI Spend with CoreStack: Cut Costs, Strengthen Security & Optimize Operations

As AI adoption accelerates, organisations need more than cloud cost visibility. They need complete insight into how AI models, agents, prompts, and workloads consume resources and generate business value.

CoreStack AI Observability delivers provider-level, model-level, and agent-level intelligence that helps organisations understand exactly where AI spend originates, optimize performance, and implement governance controls before costs spiral out of control.

What CoreStack AI Observability Enables

Visibility

Gain end-to-end visibility into AI consumption across providers, models, business units, applications, and agent workflows.

• Monitor AI spend and token consumption by provider, model, and team
• Track prompt-level cost, latency, and performance
• Trace agent pipelines to understand resource utilisation at every step
• Identify inefficiencies before they impact budgets or user experience

Optimisation

Turn AI insights into measurable savings and improved outcomes.

• Discover automated optimisation opportunities
• Optimize AI workloads through right-sizing and caching strategies
• Track cost per outcome and AI ROI
• Improve efficiency across AI applications and autonomous agents

Governance

Implement governance guardrails without slowing innovation.

• Trace every token and cost back to its source
• Establish usage policies, model controls, and budget thresholds
• Monitor spending anomalies in real time
• Maintain visibility and accountability across AI initiatives

Supported AI Ecosystems

CoreStack AI Observability supports leading AI platforms including:

• Azure OpenAI
• Microsoft Copilot
• OpenAI
• Anthropic
• AWS Bedrock
• Google Vertex AI

This enables organisations to manage and govern AI usage consistently across multi-cloud and multi-model environments.

Why This Matters

Enterprise AI consumption is growing rapidly, making governance, visibility, and cost accountability essential. Without observability, organisations can struggle to understand which teams, agents, or workflows are driving AI costs.

By combining cloud governance with AI observability, organisations can:

✅ Optimize AI investment outcomes
✅ Improve accountability across teams
✅ Control AI operating costs
✅ Reduce waste through continuous optimisation
✅ Strengthen governance and compliance practices

Discover how cloud governance and AI observability work together to help your organisation reduce costs, strengthen security, optimize operations, and maximize AI value.