Governance Lifecycle

How It Works

From the first conversation with our AI chatbot to enterprise-wide approval, every initiative follows a structured, auditable path.

The 3-Stage Governance Flow

Every initiative moves through Intake, Functional Review, and Enterprise Workflow with explicit status transitions.

Stage 1: AI IntakeDraftingAI Chatbot InterviewResolvedSubmittedStage 2: Functional ReviewPending ReviewPrototypeRejectedReworkRequest forScalingStage 3: EnterprisePending EnterpriseApprovedReturnedAdded to TechInventory

Step-by-Step Walkthrough

Here is how an initiative flows from idea to enterprise deployment.

Step 01

Submit via AI Chatbot

An employee has a technology need. They open the AI intake chatbot and have a natural conversation about their initiative — what tool they need, why, who will use it, and how it handles data.

  • The chatbot extracts structured fields: initiative name, vendor, licensing model, deployment model, data handling, user scope, target function, problem statement, business value, estimated users, and urgency.
  • Conversations are persisted — close the browser and come back anytime.
Step 02

Automatic Duplicate Detection

While conversing, the AI searches your tech inventory using fuzzy matching to find tools that might already solve the need.

  • If a match is found, the submitter can choose "Connect to Owner" (the system sends an intro email) or "Proceed Anyway" with justification.
  • If no match, the chatbot compiles an intake document and routes to the right functional queue.
Step 03

Smart Queue Routing

The AI uses your company description and queue definitions to map the initiative to the correct department review queue.

  • If uncertain, the AI flags for admin manual routing.
  • Submitters can override the suggested queue before submission.
Step 04

Function Lead Reviews

The Function Lead for that department evaluates the initiative. They can approve for prototype, reject, hold for future, or escalate to enterprise.

  • Security and legal reviews are auto-triggered based on data sensitivity and vendor status.
  • Reviewers provide traffic light ratings (Green / Yellow / Red) as advisory signals.
Step 05

Controlled Experimentation

Approved initiatives enter a prototype phase. The team runs a controlled pilot within their department before requesting enterprise scale.

  • Function Leads capture resource requests (headcount, roles) and financial requests (licensing, infrastructure costs).
  • After a successful pilot, they escalate to "Request for Scaling".
Step 06

Enterprise Approval

Enterprise Leads review the full package: intake document, all reviews, financial asks, and pilot results. They approve for enterprise rollout or return for revision.

  • Approved tools are automatically added to the tech inventory.
  • Returned initiatives go back to functional review with mandatory feedback.

Automated Review Triggers

Security and legal reviews are automatically triggered based on the initiative's characteristics — no manual flagging needed.

New SubmissionCloud + PII/PHI Data?Auto-triggerSecurity ReviewNew Vendor?Auto-triggerLegal / Contract Review

Security Review

Triggered when deployment is cloud-based AND data includes PII or PHI. Security reviewers assess risk with traffic light ratings.

Legal / Contract Review

Triggered when the vendor is not already in the tech inventory. Legal reviewers evaluate contract terms and compliance.

Traffic Light Risk Ratings

Reviewers use a simple, universally understood system to communicate risk.

Green

All good — no concerns identified.

Yellow

Not ideal, but can work — proceed with caution.

Red

Do not proceed — significant risk or blockers.

Ready to Get Started?

Bring structure, visibility, and speed to your technology governance.