PERIMIND OBSERVE | AI OBSERVABILITY & RISK DISCOVERY

See your AI environment clearly — in just one month.

You can’t manage AI risks, control costs or maximize value without knowing what’s happening across your business. PeriMind Observe gives you visibility into AI usage, Shadow AI, risk, spending and maturity across supported tools and data sources.

See it in Action

Get started in days. Build your initial AI baseline in one month. No major implementation required.

AI is everywhere. How much of it can you actually see?

AI adoption is happening across your organization, often faster than your teams can track it. Employees use AI assistants, vendors embed AI into applications, and workflow agents are beginning to access data and take action. Individual vendor dashboards only tell part of the story. Observe helps you bring supported AI activity together so you can answer the questions that matter:

Where is AI being used, including Shadow AI?

What information is being accessed or shared?

What are we spending, and where can we optimize?

Which risks and governance priorities deserve attention?

Get the visibility you need to make better decisions.

Understand your AI environment. Focus on what matters.

AI Visibility

Discover AI tools, usage patterns and potential Shadow AI across supported data sources.

Risk & Exposure

Identify potential sensitive-data exposure, credential risks and other activities requiring attention.

AI Cost & Investment

Understand available AI usage and spending data, identify potential inefficiencies and make more informed investment decisions.

Adoption & Maturity

See how AI is being adopted across teams and assess maturity across Cinchy’s five-level model.

Governance Priorities

Turn findings into practical recommendations for policies, oversight and next steps.

Get started in days, and get visibility in a month.

You don’t need a lengthy implementation project or a fully developed AI governance strategy. Observe for Discovery is a one-month, self-guided experience that uses data your organization already collects. Your team can get started quickly, without installing new infrastructure.

Bring your existing data

Import supported AI vendor exports and enterprise data into Observe.

Explore what Observe reveals

Understand AI usage, costs, exposure and maturity through interactive findings and reports you can share.

Build your governance baseline

Draft governance recommendations to guide your next decisions using the executive report.

In just one month get a clearer picture and a practical path forward.

Start Your Observe Discovery

One clearer picture of your AI environment with eight areas of insight.

AI governance touches more than security. It also involves adoption, economics, operational readiness and accountability. Observe organizes your AI environment around eight domains, giving you a consistent way to explore what is happening and where attention may be needed.

AI Estate & Shadow AI

Understand which AI tools and services are in use, including activity outside approved environments.

Adoption & Fluency

Explore AI adoption across users and departments, who uses it least or most and how AI is becoming part of daily work overall.

Spend & Model Economics

Understand AI usage, areas for savings and spending patterns overall to support better resource and cost decisions.

Data & Secrets Exposure

Identify potential exposure involving sensitive information, credentials and other protected data.

Oversight & Output Integrity

Explore governance considerations related to how AI outputs and activities are reviewed and overseen.

Access & Agent Behavior

Understand relevant access and agent activity as connected monitoring provides the required evidence.

Continuity

Assess operational readiness using findings computed from other Observe domains.

Regulatory Readiness

Explore governance readiness indicators derived from the available evidence.

Different data sources reveal different parts of the picture. An initial assessment can provide strong findings around AI usage, adoption, spending and potential data exposure. Additional domains become more informative as Observe is connected to further data sources and ongoing monitoring.

The result is a practical framework for understanding your AI environment, without expecting every organization to have the same tools, maturity or governance requirements.

Start with visibility. Build toward control.

Your AI environment won’t stand still. Neither should your understanding of it.

STEP 1

Discover

Establish your initial AI baseline in one month, then monitor it over time.

STEP 2

Observe

Keep your picture current as AI adoption, spending and risks evolve.

STEP 3

Govern

Introduce runtime policies and controls where your findings identify a need.

Start with what matters today, and expand as your needs grow.

Questions worth asking

Not all AI observability solutions give you the same picture. Before choosing a platform, ask these questions to understand what you’ll actually be able to see, measure and act on.

How quickly can we get started?

You can begin in days using supported data your organization already collects. Preparing your exports in advance helps you make the most of your Discovery month.

Do we need to install new infrastructure?

No. Observe Discovery uses imported data, without requiring new infrastructure installation.

Do we need an AI governance framework already in place?

No. Observe helps you understand your current environment and establish an initial governance baseline.

Can Observe help us understand AI costs?

Yes. Supported usage, licensing and spending data can help identify where AI investments are being used and where potential inefficiencies exist. The depth of analysis depends on the available data.

What happens after the first month?

You can continue with Observe to maintain visibility, or introduce runtime controls through Govern. Your initial findings provide the foundation for your next steps.