AI enablement & advisory

Put AI to work today.

Learn to streamline your workflows using artificial intelligence—with structure, guardrails, and a path from scattered experiments to production. Most teams do not need more tools. They need help shipping one workflow that actually earns its keep.

Flagship engagement

The 8-week AI enablement program

A structured, outcomes-first engagement that takes one real team from scattered experimentation to a workflow running in production—with the skills, guardrails, and ownership to keep going without us.

8 weeks from first workshop to a workflow in production.

Wk 1–2

Discovery & opportunity mapping

We learn your organization, map time-consuming processes, and pick the highest-leverage workflow to tackle first.

Wk 3–6

Build sprints

Prototype, evaluate, harden, and integrate. Iteration happens against real data and real users—not hypothetical demos.

Wk 7–8

Ship & hand over

Deploy to production, train the team, and deliver a playbook so the workflow keeps improving after we step back.

How we work with teams

Advisory, sprints, and governance—not just strategy decks.

Every engagement targets measurable outcomes. We meet you where you are: a standing advisory relationship, a focused build sprint, or the full enablement program.

01

8-week AI enablement program

The flagship path from discovery to production. One team, one workflow, eight weeks—with training and a handover playbook built in.

  • Weeks 1–2: Discovery and opportunity mapping
  • Weeks 3–6: Build sprints with evaluation at each step
  • Weeks 7–8: Production launch and team enablement
02

Fractional AI advisory

A standing partner for your leadership team—roadmap, build-vs-buy calls, vendor selection, and a clear view of where AI earns its keep and where it does not.

Roadmap, prioritization, vendor-neutral guidance
03

Implementation sprints

We build the thing with you. Scoped two-to-four week sprints that ship a production workflow—RAG, agents, evals, the integration glue—not another slide deck.

Production delivery, integration, measurable outcomes
04

Evaluation & governance

Quality gates, eval harnesses, and lightweight policy so AI systems stay trustworthy as they scale. Measurable, auditable, and owned in-house.

Eval frameworks, guardrails, operational ownership
Discovery process

How we assess whether AI can create real value for your business.

Before any build commitment, we run a structured discovery so recommendations are grounded in your operations—not generic industry hype.

01

Business discovery

We learn about your organization, your team, and the processes that consume the most time and resources.

02

Opportunity assessment

We identify potential AI use cases that align with your goals, budget, and operational needs.

03

Strategic recommendations

You receive practical recommendations focused on real business outcomes rather than technology for technology's sake.

04

Next-step roadmap

If AI can create value, we outline a clear path forward with realistic expectations and measurable objectives.

About the practice

A practice built by people who have shipped AI in production—and cleaned up after it.

CVCraft AI consulting is led by AJ Frio, who spent three years building production AI workflows and data products before starting the practice. The throughline: most teams do not have an AI ideas problem—they have a shipping, evaluation, and ownership problem. That is the gap we close.

Shipped, not piloted

Every engagement targets a workflow running in production—measured against a metric you already care about.

Vendor-neutral

No reseller incentives. We recommend the smallest thing that works, including not building at all.

Ownership-first

Your team leaves able to run and extend what we build together. Enablement is the point, not a retainer.

Case study

Mana Vault: automated social content for a growing MTG brand.

Mana Vault needed a consistent social media presence across platforms without burning hours every week on manual posting. We built an AI-driven pipeline that generates, schedules, and publishes social content automatically—turning a time-sucking chore into a set-and-forget workflow.

Automated content creation

AI generates platform-specific posts from product data, community trends, and brand guidelines—ready for review or auto-publish.

Smart scheduling & interaction

The system picks optimal posting times and handles routine engagement, so the team focuses on strategy instead of copy-pasting between tabs.

Read the full case study →

Let's talk

Have a workflow that should already be using AI?

Tell us the team and the problem. We will tell you honestly whether the 8-week program fits, whether advisory makes more sense, or whether you do not need us at all. No pitch deck—just a real conversation about whether this is worth your time.

Share the team, workflow, and what success looks like. Required fields are marked in the browser automatically.

Prefer email? requests@cvcraft.ai

FAQ

Questions teams ask before an AI engagement.

Straight answers about scope, ownership, and what a realistic AI project looks like in practice.

Who is the 8-week AI enablement program for?

Teams that have experimented with AI but have not shipped a workflow to production. The program takes one real process from discovery through launch, with your team owning the result.

How is fractional AI advisory different from the enablement program?

Advisory is ongoing leadership support: roadmap, build-vs-buy decisions, vendor evaluation, and prioritization. The 8-week program is a fixed engagement to ship one production workflow.

Do you resell AI tools or take vendor incentives?

No. Recommendations are vendor-neutral. We suggest the smallest approach that works—including not building at all when a simpler fix is enough.

What does a typical implementation sprint deliver?

A scoped two-to-four week build that ships a production workflow: RAG, agents, eval harnesses, or integration glue—not another slide deck. Deliverables are measured against metrics you already track.