Audio Overviews · Agent-Ready Data
Playbook price: $725 USD. Sales are not open yet. This page provides a public overview, not the complete Playbook.
The decision before the agent
A team may be ready to improve data definitions, repair dependencies or continue supervised use. Boards and senior leaders still need to distinguish that preparation from a decision about the task, its recipients and the authority to act. A successful test supports only the conditions it examined.
The Playbook’s focus
Agent-Ready Data: The Work Before the Agent is being prepared as a research-led Playbook for boards and senior leaders. Its focus is the work required to frame a bounded decision: what change is being requested, what evidence supports the request, which limits remain and who owns the next step.
Listen to the overview
Overview text
When you consider letting an AI agent carry out work in your business, the practical question is: what exactly are you prepared to authorize?
Our flagship Playbook, Agent-Ready Data: The Work Before the Agent, examines that decision. It is written for leaders deciding which preparation to fund, what their teams may do, and what must remain restricted.
Start with one defined workflow: what it produces, which information it uses, who receives the result, and which actions are excluded. You do not have to declare the entire enterprise ready before examining a limited task. But a promising result does not justify wider access or permission to act.
Across twenty-four chapters, the Playbook connects data ownership, access and business definitions with testing, human review, funding and executive responsibility. It distinguishes a local data problem from a shared dependency, and from a problem that more preparation may not solve.
Consider its constructed finance example. Clarifying a business definition might improve an internal draft explanation. It would not, by itself, justify adding new records or allowing the system to post an accounting entry. One narrow activity can remain permitted while other requests stay on hold.
The Playbook also examines who can challenge an output, whether someone can stop the proposed action, and what review, correction and maintenance remain. Its financial framework leaves unsupported inputs blank rather than presenting invented savings.
Later chapters bring these questions into a proposed authorization meeting and an evidence-dependent implementation path.
The selling price is seven hundred and twenty-five US dollars. The case for that price is the connected decision work, with worked examples and proposed records for examining preparation, evaluation, operating responsibility and investment. It is intended for a team facing a specific decision, rather than someone seeking a short introduction to AI.
The cases are teaching examples, not customer results, and the proposed tools require local testing. The Playbook does not establish a financial return, certify readiness, or grant authority to deploy.
Before deciding whether it fits, ask: do we have an agent proposal where the next investment, permission or restriction is still unclear? That is the decision this Playbook is designed to help you examine.
Questions for examination
Which constraint calls for attention: a local data definition, dependencies across sources, or the capacity to supervise the work?
What does the evidence cover, and what remains outside the tested conditions?
Are data preparation, spending and wider operating authority being considered as separate choices?
Who owns supervision, correction and reconsideration when sources, recipients or permitted actions change?
Planned companion research
Six role white papers are planned as free companion research. They are not available to download from this overview.
Evidence boundary
Touch Stone’s proposed approach is intended to structure examination under the institution’s actual authority arrangements. It is not legal advice or a compliance certification. Hypothetical examples and proposed instruments do not establish validated customer deployment, financial results or guaranteed outcomes.