AI Advisory

AI strategy and enablement for established organizations ready to govern the work.

Outcomes-first, vendor-neutral, and security-aware - grounded in the same governance and audit discipline we bring to your IT.

Start With an Advice Session Take the Readiness Check

No hype, no lock-in. We start with your work, not a product.

Find The Right Starting Point

Most teams should not start with agentic AI.

For most nonprofits, associations, and established private businesses, the right first question is not "what can we build?" It is "what path is safe, useful, and realistic for our work?" ETTE uses three engagement levels so your organization can move at the right level of maturity.

Level 1

AI Foundations

For teams that need to understand what the AI path should look like before they make commitments.

  • Current use and risk discovery
  • Leadership goals and practical use cases
  • Data boundaries and governance basics
  • A first pilot design and 90-day review path

Best fit: leadership wants a credible plan and guardrails before broader rollout.

Level 2

AI Depth

For organizations ready to move from planning into full organizational implementation and adoption.

  • AI Champions cohorts and staff skill-building
  • Governed use-case intake and prioritization
  • Workflow redesign and adoption support
  • Quarterly governance and operating reviews

Best fit: teams have leadership buy-in and need the operating model to make adoption stick.

Level 3

AI Build

For later-stage teams considering agentic or custom AI workflows after readiness is proven.

  • Agentic workflow discovery
  • Security, data, and integration review
  • Build-vs-buy recommendation
  • Partner-routed implementation when appropriate

Best fit: later-stage teams with governance, clean data paths, and a proven use case.

Who It's For

If AI is already in your org without a plan, start here.

Shadow AI already happeningStaff are using tools you have not vetted, and no one owns the risk.
Leadership pressureYour board or executive team is asking what the AI plan is, and you need a real answer.
Data-risk uncertaintyYou are unsure what is safe to put into AI, and which data should never go near it.
Opportunity, no governanceYou see clear use cases but do not yet have rules, approvals, or guardrails.

Beyond Basic Enablement

Policy and training are only the start. The value lives in the operating model.

Acceptable-use policies, staff awareness, and tool rollout are useful foundations. Established organizations now need to decide which work AI should touch, what data is safe, who approves use cases, how pilots are measured, and what happens when a workflow is ready to scale.

Starting point

Basic enablement

  • Acceptable-use policy
  • Staff awareness & training
  • Tool rollout
ETTE AI Advisory

A working operating model

  • Process discovery
  • Use-case portfolio & prioritization
  • Data readiness
  • Governance operating model
  • Workflow redesign
  • Pilot design
  • Adoption measurement
  • Operating roadmap

How The Work Flows

From outcomes to evidence.

1

Discover work

Outcomes and where AI is already in use.

2

Prioritize use cases

Ranked by value and risk tier.

3

Prepare data & governance

Readiness scored; owners and rules set.

4

Pilot

A small, designed pilot with go/no-go criteria.

5

Measure

Adoption signals and outcome movement.

6

Scale or hold

A written recommendation, on the evidence.

Deliverables

An operating dossier you keep and run.

Every engagement leaves your team with the artifacts to run the program without us in the room - not a slide deck, a working operating model.

How To Engage

Three levels. One maturity path.

FoundationsA fixed-scope first engagement to discover the right path, set governance basics, design a practical pilot, and define the 90-day review.
DepthOrganization-wide implementation: Champions cohorts, staff skills, governed use cases, workflow redesign, and adoption reviews.
BuildLater-stage agentic AI discovery and partner-routed build planning for teams with proven readiness and a specific workflow.

Every engagement starts with an advice session and a scoped recommendation. Foundations and Depth are where most organizations should begin; Build is intentionally gated until the use case, data, and governance model are ready.

Why ETTE for AI

Security discipline, applied to AI.

We bring the same security discipline and practical governance we use across managed IT - built for nonprofits, associations, and established private businesses. Our guidance is grounded in our own internal AI Champions work and a structured fluency framework, so your team learns to run the loop without us in the room.

Let's Talk

Start with one good outcome. We'll handle the guardrails.

Start With an Advice SessionTake the Readiness Check