Prototype case study / enterprise-approved AI

Make the AI system your company already approved understand how you work.

This simulated case study shows how AIdentity could turn a person's assessment result into an approved-tool setup pack: a safe operating profile, archetype-specific instructions, and a prompt library the user can install in Copilot, Claude, ChatGPT Enterprise, Gemini, Glean, or an internal assistant where their company allows it.

View Approved AI Configurator Discuss Setup Pack Pilot

The product thesis

The company chose the tool. The employee still needs a way to use it well.

The wedge is portable human context, not company-data ingestion.

Where the prototype creates value

AIdentity translates the user's AI Identity, role goals, review habits, and first workflows into a company-safe install kit. The employee gets better prompts and setup instructions without asking AIdentity to touch confidential company data.

Where we would not start

This is not a backdoor integration, policy bypass, or admin-level tenant configurator. When a system requires IT, connectors, agents, or governance approval, the pack creates the request language and keeps the action in a human-approved lane.

Configurator loop

From assessment result to installable approved-tool workflow.

Assess the human, translate the profile, install the prompts, review the output.

Assess

Start with the person's AI Identity

AIdentity names how the worker adopts AI, where confidence is low, what kind of help feels useful, and where review is essential.

Translate

Turn identity into approved-tool setup

The configurator converts the result into copyable instructions, role context, collaboration rules, and company-safe boundaries.

Install

Fit the pack to the allowed system

The user chooses Copilot, Claude, ChatGPT Enterprise, Gemini, Glean, or an internal assistant, then sees what they can set up directly.

Operate

Use a role-specific prompt library

The pack gives the user starter prompts for their real job while reminding them what must stay inside company-approved systems.

Best-fit segment

Useful for real enterprise constraints without becoming enterprise SaaS.

Start with people who have AI access, but not AI confidence or setup clarity.

Employees who want to use AI at work but are restricted to Copilot, Claude, ChatGPT Enterprise, Gemini, Glean, or an internal assistant

Managers who need prompt libraries and review habits without moving company data into outside tools

AI enablement, L&D, HR, or security teams trying to make approved AI tools useful without exposing private coaching notes

Workers who repeat the same context in every chat because the enterprise system does not understand their role yet

Teams that need starter workflows, review rules, and escalation language more than another generic AI training deck

Suggested pilot

A concierge approved-AI setup pack.

The first commercial test should deliver a PDF and copyable markdown package: AI operating profile, company-safe context filter, tool-specific instruction block, archetype prompt library, and review rules. The success test is whether the user installs it in their approved system and gets better first outputs. Price this as a $750-$1,500 individual pack, a $5,000-$15,000 manager or team setup, or a $15,000-$35,000 concierge enterprise pilot depending on scope and review requirements.

Run the AIdentity assessment and choose the user's current role, approved AI system, and first work outcome.
Generate an AI operating profile with archetype-specific collaboration rules and company-safe context boundaries.
Create install-ready instruction blocks and a prompt library that can be copied into the approved system where allowed.
Run one week of real use inside the enterprise-approved tool and capture whether output quality, confidence, and review discipline improve.

Book Approved AI Call Open Prototype