How we work · Guide · · 2 min read

What product and IT teams should look for in an AWS consulting partner

A practical checklist for choosing AWS help — scope, engineers on the call, handoff, and when a discovery conversation is enough.

Most product and IT teams do not need “more cloud.” They need a clear path on a specific problem: a migration that cannot miss a maintenance window, a bill that keeps climbing, a security finding that returns every audit, or an AI pilot that never reaches production.

That is what good AWS consulting is for — scoped engineering help you can evaluate, buy, and hand off.

When AWS consulting is the right move

You are usually ready for outside help when at least one of these is true:

  • Internal engineers are spending more time on infrastructure than on product
  • Leadership wants a decision (migrate, harden, or build) with a written cost range and risks
  • You have outgrown ad hoc AWS ownership but are not ready to staff a full platform org
  • A compliance or customer review needs technical baselines you can defend

If the need is unclear, a short discovery conversation is often enough to decide whether a project, a baseline review, or “not yet” is the better path.

What to evaluate (not marketing claims)

Use this checklist when you compare partners:

SignalWhy it matters
Engineers on the first callYou learn how they think before you buy
Written scope and cost range before buildAvoids open-ended retainers with fuzzy outcomes
Work in your AWS accountYou keep ownership, logs, and audit trail
Handoff documentationRunbooks and decisions your team can operate after
Honest edgesClear coverage hours, what is in/out of scope, and when formal certification stays with your assessor

Engagement shapes that usually work

  1. Discovery / readiness — inventory, risks, and sequencing before anyone commits to a cutover date
  2. Fixed-scope project — migration wave, security remediation, Bedrock/RAG pilot, or desktop rollout
  3. Managed operations — monitoring, patching, cost reviews, and architecture check-ins on a written operating model

Many teams start with (1), then choose (2) or (3) only when the next step is obvious.

National work, local base

Alchemy is based in Portland, Maine, and works primarily remote with product and IT teams across the United States. Location matters for timezone and on-site cutovers; for most AWS work, what matters more is whether the people who join the first conversation stay on the delivery.

A practical next step

Bring one real concern — cost, migration, security, reliability, or AI — to a free 30-minute discovery call. Account access is not required for the first conversation. You leave with clearer options and a sense of whether a readiness assessment, security baseline, or project engagement is warranted.

If you are already comparing managed-ops models, read what a good AWS managed services partner does. If migration risk is the issue, start with why cloud migrations go over budget.