ai:audits
AI adoption, mapped to your workflow.
Which tasks are worth automating, which tools actually fit your stack, and where the risk sits: most agencies are missing the map, not the motivation.
An out:grow audit gives you a concrete plan: the workflows to change first, the tools to use, and the order to roll them out in.
01:
How the audit works.
We start by watching how your team actually works, not how the org chart says it works. Client intake, quoting, project scoping, dev handoff, QA, reporting: every one of those steps has AI leverage hiding in it.
Two weeks in, you get a written roadmap, not a slide deck of buzzwords: the specific tools to adopt, the workflows to change, and a rough sequencing so your team isn't retooling everything at once.
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Workflow mapping
We interview your team and shadow a live project to find where time actually goes, then rank the AI opportunities by effort and impact.
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Tool selection
Model APIs, coding assistants, automation platforms: we recommend by fit for your stack and client base, not by what's trending.
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Rollout plan
A sequenced plan your team can execute without stalling client work, with clear checkpoints to measure what's working.
02:
Built for agencies, not enterprises.
Enterprise AI consultants show up with a six-month change-management program. Agencies don't have six months, or a change-management budget.
We've run agencies ourselves. The recommendations are sized for a 5 to 50-person team: what you can put into practice this quarter, with the people you already have.
03:
Already using AI? Get a second opinion.
If your team has started experimenting but adoption feels scattered (a few people using a coding assistant, one PM prompting a chatbot, nothing standardized) we'll audit what's in place and tell you what to keep, what to consolidate, and what's a waste of a subscription.