Agentic Discovery / Khao sat co hoi ung dung AI

Map where AI could improve the business before scheduling a conversation.

This self-discovery flow helps a company describe where time is being lost, what data exists, who owns the decision, and whether there is a practical AI opportunity worth reviewing.

It does not promise implementation. It creates a first-pass operating diagnosis for human review by THKeymaker.

Diagnostic Intake

Map the operating signal before an AI conversation.

This page captures enough business, workflow, data, and decision context for human review before the relationship moves into an authenticated agent session.

Identity Pressure Data Decision Intent
Estimated time: 6-8 minutes Output: first-pass AI opportunity judgment Next: Admin review and agent follow-up
1. Business identity
2. Operational pressure

Select the areas where the company expects AI to reduce friction, speed up work, improve quality, or expose better management visibility.

Detail guide Too crude
Add who does the work, inputs, outputs, tools, delay points, and approval boundaries. 0/900 characters
3. Data readiness
4. Decision readiness
5. Engagement intent

After the snapshot, the submission syncs to the consulting CRM when the THKeymaker API is online. Authenticated agent handoff remains gated by Admin review.

Operating Frame

Database, login, Admin, OpenClaw, and Natalia follow-up now share one operating frame.

01

Page

Discovery page with structured fields, local snapshot generation, and API submission sync.

02

Backend and Admin

Google login exposes Admin only to the owner account. The API keeps consulting submissions and review state.

03

Logic

Lead tiering uses pain clarity, repeatability, time loss, data availability, process maturity, owner clarity, leadership seriousness, and fit.

04

OpenClaw / Natalia

Agent workflow starts after authentication, creates an internal brief, drafts follow-up, routes it for review, and escalates qualified leads.