Independent technology advisory

Move AI forward. Keep the business in view.

From an AI acceptable-use policy to a production workload, GlobalLinc helps you understand the choices, connect the dependencies, and take a practical next step.

Industries we work with

Different environments.
Different decisions.

The workflow, information, people, and operating model change what the right approach looks like.

Explore industry priorities

Policy → Visibility → Governance → Optimization

Start with the priority
in front of you.

Your organization may be ahead in one area and catching up in another. We use four connected areas to structure the conversation and identify useful work.

You do not need to start from zero, or work through every stage before addressing the problem that matters now.

Explore AI advisory
Your AI journey

A practical starting point

AI acceptable-use policy

Turn business priorities and risk expectations into practical guidance for how people use AI.

Explore policy support

One connected journey. Start where it matters.

See the dependencies

The AI decision is also a business technology decision.

An application in production can raise questions about identity, data access, cloud architecture, model choice, and cost at the same time.

We help your team evaluate those connections and bring the right expertise into the work.

Keep the whole environment in view

Recognize your starting point

Make the next step specific.

A policy discussion, a focused architecture session, or one representative workload can give the work a clear purpose.

Illustrative starting point

AI is in use. The policy needs to catch up.

People are finding useful tools, but expectations around approved accounts, sensitive information, and acceptable use are unclear.

A useful next step

Develop an AI AUP and identify the visibility and controls needed to support it.

Explore this priority
Illustrative starting point

An AI application is live. The foundation needs a review.

Your internal team is building in the cloud and wants a repeatable approach to architecture, permissions, and future development.

A useful next step

Define a focused cloud and AI working session with an appropriate technical resource.

Explore this priority
Illustrative starting point

The workload works. Its economics need a closer look.

You need to understand model choices, consumption, and cost while preserving the quality and performance the work requires.

A useful next step

Choose a representative workload and establish the criteria for a useful comparison.

Explore this priority

How GlobalLinc works

Independent perspective.
Practical involvement.

We help define the work before assembling the resources. Your operating model, internal ownership, and existing provider relationships shape the approach.

See how we work
  1. 01

    Understand the priority

    Listen to the business objective, current environment, ownership, and constraints. Test whether the initial premise fits.

  2. 02

    Define the useful work

    Identify the decision, dependencies, evidence, and scope that will move the conversation forward.

  3. 03

    Bring the right expertise

    Select relevant technical resources and providers for a focused conversation with a clear purpose.

  4. 04

    Carry the decision forward

    Compare approaches, clarify responsibilities, and support planning and subsequent review within the agreed scope.

Questions from the field

Useful perspective,
before the decision.

Explore all decision guides
Decision guide

A renewal is a chance to review the workload.

Use the deadline to understand the choices while there is still time to evaluate them.

Read the guide
Decision guide

Look beyond the platform before a voice migration.

Understand the workflows and connections that the new service needs to preserve.

Read the guide

Why structure matters

Written policy and
actual use can diverge.

Research provides context. Your own environment determines which gaps need attention.

66%

reported using AI they believed company policy did not permit.

PagerDuty, 2026. Survey of 1,250 office professionals at organizations with annual revenue of $500 million or more, across four countries.

PagerDuty Shadow AI Survey
47%

of genAI users in Netskope’s analysis used personal AI apps.

Netskope Cloud and Threat Report 2026. Personal-account usage share declined from 78%, while gaps in managed access remained.

Netskope Cloud and Threat Report

A practical next step

What is the next decision you need to make?

An AI policy, a production workload, a cloud architecture question, or a technology renewal. Start with the priority in front of you.

Let’s talk it through