Enterprise AI Workforce
Roles, permissions, completion evidence, evaluation, and rollout.
Read the complete guide →Make an informed AI workforce decision.
Understand the requirements and tradeoffs before committing to implementation. Each guide connects business decisions with practical evaluation criteria.
AI Workforce Cost and ROI
A worked business case covering review, rework, costs, and capacity.
Read the complete guide →AI Workforce Governance
Ownership, approval, source access, evidence, recovery, and change.
Read the complete guide →Explore the workforce services →
Build for growth you can sustain
Explore demand, unit economics, delivery, and the systems that support a growing business.
Modeled scenarios
Worked examples that apply these guides
Each card starts from one kind of business and runs assumed inputs through the same formulas as our free calculators. They are examples, not client results.
Law firms
Picture a law firm with ten years of briefs and memos.Keyword search misses a memo that uses different words for the same idea. Vector search finds passages by meaning, and lists the source for each.
Assumed inputs, run through the formula of our calculator: “manual cost per month” goes from $9,000 to $5,400 when “minutes per record” moves from 20 to 12. A modeled scenario, not a client result.
Architecture and design firms
Picture an architecture firm with project archives.Staff want to find past details, such as a wall section used on a similar project. Search by meaning over specs and notes finds them without exact keywords.
Assumed inputs, run through the formula of our calculator: “payroll recovered per month” goes from $15,003 to $22,505 when “hours per person per day” moves from 2 hours to 3 hours. A modeled scenario, not a client result.
Online stores and ecommerce brands
Picture an online store with 8,000 products.Shoppers type what they need in their own words. A meaning-based search returns the right product even when titles do not match.
Assumed inputs, run through plain arithmetic: “monthly revenue from search sessions” goes from $34,560 to $38,400 when “search sessions that end in an order” moves from 1.8% to 2%. A modeled scenario, not a client result.
Checkable
What we can show, and where to check it
Everything below is a fact you can check in this site's own files or documents. Nothing here is a client result.
Self-reported
A 22-job, 3-try test ended with 66 finishes and 0 accepted
A letter the company published in September 2026 describes a test where an automated agent was pointed at a library of real software. It ran 22 jobs with 3 tries each. All 66 runs finished, in about 19 minutes, and none were accepted, because the run was graded against the wrong exam. The lesson is about scoreboards, not about any one tool: a run that finishes is not the same as a job that is done.
Limit: Reported by the company about its own test. The grading sheet and test arms are not published, so this is not independently checked.
Source: The Scoreboard That Lied (page) (src/pages/the-scoreboard-that-lied.astro); The Scoreboard That Lied (PDF letter) (public/docs/The-Scoreboard-That-Lied.pdf)
Policy
Our own rule: no outcome claim without evidence
The site's governance document says a claim about performance, cost cuts, or business outcomes must link to evidence, be written as guidance with limits, or be removed. A location page may say a service is available in a place, not that it was deployed there unless a case study proves it.
Limit: A policy is a promise about how we write. It is not a result.
Source: Authority source governance (docs/authority-source-governance.md)