Questions worth asking before you start.

Advisory. ETTE's AI Strategy & Enablement practice is vendor-neutral — no proprietary AI product, no reseller margin baked into a tool recommendation. We start with your outcomes, then recommend or govern whatever tools actually fit, including ones you already have.

It's the most common starting point we see, and it's exactly what AI Foundations is built for. The first step isn't shutting anything down — it's current-use discovery: understanding where AI is already in use, what data it's touching, and closing the gap with approved-tool boundaries and governance basics.

Licensing a tool answers what staff can open, not what they should do with it. Acceptable-use policy, staff training, and tool rollout are useful, but they're the starting point, not the destination. The value is in the operating model underneath: use-case prioritization, data readiness, governance, workflow redesign, and adoption measurement — the same discipline ETTE already applies across managed IT.

That's what the data readiness review is built to answer before anything else moves forward. Every engagement scores your data — ready to use, needs addressing, or blocked entirely — by domain, so you know what's safe to put in front of AI and what should never go near it.

AI Champions is the internal cohort model ETTE built and ran on its own team first: fifteen staff across four months of real ticket work and client deliverables, governed the whole way. ETTE now runs the same phased-cohort approach — tool access, an AI usage policy, mentor pairing, structured sessions, and a shared skills library — inside client organizations as part of AI Depth. Read the full case study for what it actually looked like.

For almost every organization, no. Build — agentic or custom AI workflows — is intentionally gated until there's a proven use case, clean data paths, and a working governance model underneath it. Skipping there first is the most common way AI pilots stall. Foundations and Depth are where nearly everyone should start.

Foundations is scoped as a fixed engagement built around a first pilot design and a 90-day review path. Depth is ongoing — organization-wide rollout with quarterly governance reviews. Every engagement starts with a scoped recommendation, so you know the shape before committing.

Two things. First, security discipline — the same governance and audit rigor ETTE brings to managed IT, applied to AI, from a team with CISSP- and CISA-certified engineers. Second, we tested the model on ourselves before selling it: the AI Champions program ran on ETTE's own service work first, and the client-facing engagement came out of what actually worked.

Both. AI Strategy & Enablement is built for nonprofits, associations, and established private businesses alike — the governance questions (what's safe, who approves, how pilots get measured) are the same regardless of sector.

Every engagement starts with a free advice session and ends with a scoped recommendation — not a contract on the spot. If Foundations or Depth is the right fit, we'll say so and outline it. If it isn't the right time yet, we'll say that too.