ai-process-assessment:collecting-cost-actuals

Collect and validate financial cost data for AI initiatives.

Updated May 9, 2026
One-click install
npx skills add https://github.com/grandaha/ai-process-assessment --skill ai-process-assessment-collecting-cost-actuals
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-process-assessment:collecting-cost-actuals
Source: https://github.com/grandaha/ai-process-assessment/tree/main/skills/collecting-cost-actuals
Command: npx skills add https://github.com/grandaha/ai-process-assessment --skill ai-process-assessment-collecting-cost-actuals

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill eliminates the reliance on fabricated estimates during AI engagement scoping by enforcing a structured, evidence-based collection process for labor rates, vendor quotes, and integration costs.

Core Features & Use Cases

  • Structured Data Collection: Generates a custom worksheet based on your specific initiative list to ensure no cost component is overlooked.
  • Deterministic Tracking: Records confirmed costs directly into the engagement model while flagging missing data as PENDING to maintain audit integrity.
  • Use Case: Use this during Phase 8.5 to gather fully burdened labor rates from Finance and vendor quotes from Procurement, ensuring your business case is built on real figures rather than intuition.

Quick Start

Run the collecting cost actuals skill to generate your data collection worksheet and begin capturing initiative costs.

Frequently Asked Questions about ai-process-assessment:collecting-cost-actuals

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I collect actual cost data for AI initiatives instead of using estimates?

To collect actual cost data for AI initiatives, generate a custom worksheet to systematically gather labor rates and vendor quotes. Confirmed values are recorded directly while missing data is flagged as PENDING to maintain audit integrity.

What is the best way to track missing financial data during AI process assessment?

Tracking missing financial data during AI process assessment requires flagging unknown cost inputs as PENDING. This deterministic approach maintains audit integrity by separating confirmed vendor quotes from estimated figures until validated.

When do I need to capture fully burdened labor rates for AI business case development?

Capture fully burdened labor rates during phase 8.5 of the engagement lifecycle. This phase bridges process discovery and business case development by gathering real financial figures from Finance.

Does this cost collection process require integration with roadmap and use-case briefs?

Yes, cost collection requires integration with roadmap, use-case briefs, and scoring files. This integration ensures all cost inputs are systematically sourced and recorded as either confirmed values or pending gaps.

How to validate vendor quotes and integration costs for AI automation projects?

Validate vendor quotes and integration costs by enforcing an evidence-based collection process. Procurement data is captured in a structured worksheet, eliminating fabricated estimates during AI engagement scoping.

Why should I avoid fabricated estimates during AI financial modeling?

Avoiding fabricated estimates during AI financial modeling ensures your business case is built on real figures. Structured data collection enforces evidence-based gathering from Finance and Procurement rather than intuition.