AI Sentri
    Inputs · AI Visibility

    One AI inventory. Every system, owner and risk.

    Know exactly what AI exists across your business. No blind spots.

    Most organisations don't know what AI is actually being used across their teams. This creates risk, duplication, and missed value. AI Sentri gives you a complete view of your AI estate and highlights where action is needed.

    Total AI Systems

    12

    Owner Assigned

    75%

    Use Personal Data

    58%

    Fully Assessed

    58%

    Require Attention

    5

    Hotspots

    AI Systems Overview

    Triage your estate. Click a row to view system detail.

    System NameOwnerStatusGovernanceComplianceROILast Updated
    Customer Churn Predictor
    		A. Patel Complete
    86%
    92%
    Positive
    		Mar 14, 2025
    Sales Lead Scoring
    		M. Chen Complete
    71%
    78%
    Positive
    		Mar 2, 2025
    Marketing Copy Generator
    Incomplete
    		Unassigned Incomplete
    38%
    45%
    Unknown
    		Nov 20, 2024
    Resume Screening Assistant
    		L. Schmidt Complete
    42%
    35%
    Neutral
    		Jan 8, 2025
    Internal Knowledge Chatbot
    		R. Okafor Complete
    74%
    81%
    Positive
    		Mar 22, 2025
    Fraud Detection Model
    		S. Garcia Complete
    88%
    90%
    Positive
    		Feb 28, 2025
    Demand Forecasting
    Incomplete
    		J. Becker Incomplete
    55%
    62%
    Unknown
    		Dec 15, 2024
    Support Ticket Triage
    		K. Nakamura Complete
    68%
    70%
    Neutral
    		Feb 10, 2025
    Pricing Optimisation Engine
    Incomplete
    		Unassigned Incomplete
    31%
    40%
    Negative
    		Oct 5, 2024
    Document Summarisation Tool
    		E. Rossi Complete
    79%
    84%
    Positive
    		Mar 19, 2025
    Image Moderation Service
    		T. Andersson Complete
    64%
    58%
    Neutral
    		Jan 30, 2025
    Shadow GPT-4 Use (Marketing)
    Incomplete
    		Unassigned Incomplete
    22%
    28%
    Unknown
    		Sep 12, 2024

    Systems Inventory

    Capture every AI system, ownership, and purpose.

    Usage Discovery

    Identify shadow AI across the organisation.

    Data Quality

    Understand the data used in AI systems.

    Visibility Gaps

    The blind spots most likely to cause issues. Fix these first.

    • 3systems missing owner
    • 4systems missing governance assessment
    • 4systems missing regulatory data
    • 3systems with no ROI defined

    You can't govern what you can't see

    Identify every AI system, understand its risk, and take control before issues escalate.

    Before you start

    Questions about AI inventory and shadow AI

    What is an AI inventory, and why do we need one?

    An AI inventory is a single register of every AI system your organisation uses — built in-house, bought from a vendor, or embedded in software you already licence. It is the prerequisite for everything else: you cannot classify risk, assign an owner, or answer a regulator without first knowing what exists. Article 6 of the EU AI Act turns on per-system classification, which is impossible without a per-system record.

    What is shadow AI, and how does AI Sentri find it?

    Shadow AI is any AI tool in use that has not been sanctioned or recorded — usually a subscription bought on a card, or a free assistant quietly handling real customer data. AI Sentri surfaces it with short surveys sent across the business, so tools appear in your register before they appear in an incident report. Responses feed straight into the inventory as candidate systems for review.

    How much detail do we need to capture per system?

    Enough to answer the questions you will actually be asked: what it does, who owns it commercially and technically, what data it touches, which vendor is behind it, and what controls sit around it. AI Sentri prompts for each field and shows what is missing, so a partly-completed system is visibly partial rather than silently assumed to be fine.

    Do we need to inventory every model, or every use case?

    Use cases, in almost every case. Regulators care about the purpose an AI system is put to and the people it affects, not the number of model weights behind it. One vendor tool used for three different decisions is three entries worth tracking; three models serving one workflow is usually one.

    Who normally owns the AI inventory?

    Most often the CIO or CTO, with risk and legal as consumers of it rather than maintainers. AI Sentri records a business owner and a technical owner per system precisely because accountability tends to fall between those two roles, which is where governance quietly fails.

    More in the full FAQ, or ask us directly.

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