Accelerated Innovation

Understanding Indirect GenAI Support Costs

By /

Understanding Indirect GenAI Support Costs

Description

Understanding Indirect GenAI Support Costs involves identifying and managing the less-visible expenses required to sustain GenAI capabilities. These include governance, compliance, training, legal reviews, procurement, security oversight, and other enterprise-wide support functions.

Why it's Important

Many organizations underestimate the full range of costs associated with scaling GenAI. Beyond direct development and operational expenses, GenAI adoption introduces indirect support costs that can quickly add up-such as model risk reviews, prompt safety evaluations, ongoing security audits, and legal consultations. Without visibility into these support costs, leaders risk underbudgeting and making incomplete ROI calculations. Accurately understanding and managing indirect support costs ensures financial predictability, supports responsible scaling, and fosters cross-functional alignment on what it truly takes to deploy GenAI at scale.

Why it's Challenging @ Scale

  • Lack of standardized definitions. Many organizations lack clarity on what counts as indirect GenAI support costs, leading to inconsistent tracking.
  • Distributed cost ownership. Support costs are often spread across legal, compliance, security, procurement, and other departments, making aggregation difficult.
  • Invisibility of time and resource investments. Teams may underestimate the labor costs of governance activities, audits, or reviews because they aren’t always tracked financially.
  • Dynamic regulatory landscape. Evolving AI regulations drive additional review cycles, legal input, and compliance efforts that increase support costs unpredictably.
  • Difficulty linking support costs to GenAI initiatives. Without clear attribution models, indirect support costs are often lumped into general overhead, obscuring the true economics of GenAI scaling.

Complexity

High: Understanding indirect GenAI support costs requires cross-functional collaboration, new financial tracking models, and cultural shifts to account for non-technical work that enables GenAI success.

Ready to accelerate your GenAI journey?

Click below to validate your access

Let's go!

Taking Action

Though most organizations begin their GenAI journey with significant knowledge gaps, there are targeted actions that can be taken to accelerate the process. Select your group’s current maturity, based on your assessment results, and act today.

The most important part of any journey is starting. To move from Exploring to Experimenting, focus on the following key actions:
  • Explore Key Concepts & Best Practices: Complete the Product Economics Analytics Best Practices workshop (2 hrs.) to understand foundational key concepts and explore applied best practices.
  • Introducing the economics of GenAI productization.
  • Identifying core drivers of GenAI product value.
  • Mapping data sources for cost and value analysis.
  • Defining roles and responsibilities in analytics.
  • Framing economic models to support product decisions.
  • Define Your Action Plan: Outline concrete, prioritized steps your organization will take to implement GenAI Strategy.
  • Align on your Current State and define your Target State.
  • Create an actionable enablement plan.
  • Define target timeline and measures of success.
  • Deliver Quick Wins: Small, high-impact GenAI projects that can demonstrate tangible value in a short time frame.
  • Catalog indirect support activities: Identify which legal, compliance, and governance processes currently support GenAI initiatives.
  • Estimate time and resource allocations: Work with cross-functional teams to approximate current effort levels and associated costs for GenAI support functions.
  • Pilot a basic indirect cost attribution model: Test a simple framework to allocate governance and compliance costs to specific GenAI projects.
To move from Experimenting to Lifting-Off, prioritize the following actions:
  • Complete one or more of our Deep Dive Courses: Begin exploring key concepts and best practices, including:
  • GenAI Solution Cost Analytics Best Practices.
  • GenAI Solution Forecasting & Scenario Modeling Best Practices.
  • GenAI Product Economics Reporting & Governance Best Practices.
  • Nail It Before You Scale It: Assess and optimize your solution or process before adopting it at scale.
  • Assess Your Proposed Solution or Process: Review your current approach to tracking indirect GenAI support costs and identify any gaps or inconsistencies.
  • Define in-scope Processes and Guardrails: Determine which indirect support activities-such as legal reviews, security audits, and training-should be formally tracked and costed.
  • Close any Data or Measurement Gaps: Ensure your organization has mechanisms in place to capture time, labor, and resource data for all relevant GenAI support functions.
  • Define Your Adoption & Scaling Plan: Create a structured roadmap for how GenAI solutions will be rolled out across teams, workflows, or business units.
  • Define Your Phased Implementation Plan: Introduce indirect cost tracking incrementally, starting with high-visibility GenAI projects and expanding to all initiatives.
  • Build Awareness and Finalize Enablers: Provide guidance, templates, and training to help cross-functional teams capture and report indirect GenAI support costs consistently.
  • Operationalize Your Comms Plan: Communicate clearly with stakeholders about the importance of tracking indirect costs and how this supports better decision-making.
To move from Lifting-Off to Accelerating, prioritize the following actions:
  • Formalize Your Best Practices: Document and standardize what’s working to ensure consistent, scalable success across teams and use cases.
  • Codify indirect GenAI support cost tracking procedures: Develop guidelines and policies for capturing governance, compliance, and support costs related to GenAI.
  • Create reusable tracking templates: Provide time-tracking and resource allocation templates to streamline data collection across functions.
  • Integrate indirect cost tracking into budgeting processes: Ensure financial planning cycles include indirect GenAI support costs as a standard line item.
  • Accelerate Your Adoption: Intensify efforts to embed GenAI across your organization by expanding use cases, increasing user engagement, and removing adoption barriers.
  • Expand indirect cost tracking to all GenAI initiatives: Apply consistent cost tracking across all projects, regardless of business unit or use case.
  • Automate data capture where possible: Use tools like time tracking software or enterprise resource planning (ERP) systems to reduce manual effort.
  • Enable self-service reporting: Give teams the ability to access and review their indirect support cost data to drive awareness and accountability.
  • Celebrate Your Wins: Publicly acknowledge team accomplishments to build and sustain adoption momentum.
  • Recognize cross-functional teams driving cost transparency: Highlight groups that successfully tracked and managed indirect support costs.
  • Share success stories of informed decision-making: Publish examples where indirect cost visibility led to better budget planning or risk management.
  • Incentivize continued participation: Offer rewards or recognition for teams consistently contributing to accurate and transparent GenAI cost tracking.
The “Accelerating” stage represents the “Target State” for many capabilities. “Breaking Away”, on the other hand, suggests that the specific capability represents a clear competitive advantage for your business.
  • Streamline & Embed: Integrate GenAI into core workflows while eliminating friction points to make usage seamless and routine.
  • Make indirect cost tracking part of standard operations: Embed support cost capture into financial planning, project reviews, and enterprise reporting cycles.
  • Simplify cross-functional reporting: Provide accessible dashboards that allow legal, compliance, security, and finance teams to track and review GenAI support costs in real time.
  • Tie indirect cost insights to strategic decisions: Use support cost data to guide GenAI scaling, vendor selection, and risk management choices.
  • Leverage Automation: Use GenAI-powered tools and workflows to streamline repetitive tasks, enhance operational efficiency, and reduce manual effort.
  • Automate support cost data collection: Integrate time tracking, ticketing, and workflow management tools to capture indirect costs passively.
  • Deploy AI for support task categorization: Use AI to classify and tag support activities, improving attribution accuracy for GenAI-related work.
  • Use analytics to predict support cost trends: Apply AI-driven forecasting to anticipate how support costs will evolve as GenAI capabilities expand.
  • Evolve & Further Accelerate: Continuously refine GenAI strategies based on insights and outcomes, while expanding into more complex or high-impact use cases.
  • Update cost models as regulatory needs evolve: Adjust support cost tracking to account for new compliance and governance requirements as GenAI adoption scales.
  • Benchmark indirect support costs externally: Compare your cost structures with industry peers to identify opportunities for efficiency gains.
  • Link support costs to business outcomes: Connect indirect cost data to broader product economics, ensuring leadership understands the full investment profile of GenAI.

Key "Watchouts"

  • Failing to define indirect costs clearly: Without clear definitions, teams may overlook or double-count certain support expenses.
  • Underestimating cross-functional coordination needs: Tracking indirect costs requires collaboration across legal, security, finance, and product teams.
  • Relying on manual tracking alone: Manual processes are prone to error and may discourage consistent participation.
  • Treating support costs as static: As GenAI capabilities expand, indirect costs will evolve-failing to update cost models can lead to blind spots.
  • Ignoring the link between support costs and risk management: Overlooking these costs can lead to underinvestment in critical governance and oversight functions.

Targeted Benefits

  • Full-picture cost transparency: Provides a complete view of what it truly costs to support GenAI beyond development and deployment.
  • Improved financial forecasting: Supports better budgeting by accounting for compliance, legal, security, and governance expenses.
  • Enhanced risk management: Ensures sufficient investment in support functions that mitigate legal, ethical, and operational risks.
  • Cross-functional alignment: Builds shared ownership of GenAI costs across the organization, fostering collaboration.
  • Strategic scaling confidence: Helps leaders make informed decisions about how, when, and where to scale GenAI with financial predictability.

Looking to Move Faster, and 'Go Bigger'?

Contact us to explore additional acceleration resources or support.
Click here
Eddie
Accelerated Innovation

Hi, I'm Eddie 👋

Ask me anything about AI concepts, best practices, Accelerated Innovation solutions, or how to get started.