Solution

AI Governance & Cost Intelligence

Control, visibility, and optimization for AI workloads

As AI adoption accelerates, so does the risk of ungoverned usage and runaway costs. We implement AI governance frameworks and cost intelligence systems that give organizations visibility into their AI spend, enforce usage policies, and optimize inference costs — without slowing down innovation.

Who This Is For

CFOs, engineering leaders, and AI platform teams at organizations with growing AI workloads. Especially relevant for companies experiencing rapid LLM adoption without centralized governance or cost visibility.

Outcomes

Complete visibility into AI usage, costs, and performance across teams
Governance policies that enforce responsible AI usage without blocking innovation
Significant reduction in AI inference costs through optimization and right-sizing
Executive-level dashboards for AI spend tracking and forecasting

Implementation Approach

1

AI Audit & Discovery

We inventory all AI usage across your organization, map cost drivers, and identify governance gaps.

2

Governance Framework

We design and implement policies for AI model usage, data handling, cost allocation, and access controls.

3

Cost Intelligence Platform

We deploy dashboards and alerting that track AI costs in real-time, attribute spend to teams and projects, and flag anomalies.

4

Continuous Optimization

We establish ongoing optimization practices: model right-sizing, caching strategies, prompt optimization, and vendor negotiation support.

Architecture Overview

AI PROVIDERSOpenAI / GPTAnthropicCloud AI (AWS)Self-HostedUsage Telemetry & MeteringCost AnalysisAttribution & TrendingAI OptimizationModel Routing & CachingGovernance Policies & Executive DashboardsBudgets • Alerts • Access Controls • ForecastingTeam ViewPer-team costModel usageQuality metricsBudget statusOptimization tips

Frequently Asked Questions

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