Your team is already using AI.Do you know what they're putting into it?

Shadow tools, unclear rules, and client data in the wrong places are the new operational risk. We set clear boundaries through assessment, written policy, training, and documented risk. Everything is built in onboarding and kept current inside the partnership.

One partner. Flat monthly price. Every commitment in writing.

Policy + training + risk log

  • Approved and blocked AI use-cases
  • Data-handling rules by team
  • Team training with signed completion

Everyone’s using AI. Almost no one has clear rules.

The risk isn’t that AI doesn’t work. It’s that it works well enough that people use it every day without a shared standard. We close that gap with assessment, policy, and training sized for real operations, not a generic slide deck.

  • Shadow AI

    People already use ChatGPT, Copilot, and a dozen other tools. Leadership often has no inventory of what’s in play.

  • No written rules

    If someone asked for your AI policy today, could you hand them a document? For most teams, the answer is still no.

  • Data in the wrong place

    Client records, drafts, and internal strategy can end up in tools that train on prompts or retain data in ways you didn’t intend.

  • Regulatory gray area

    HIPAA, privilege, financial rules. AI use intersects with obligations you already have. Hope is not a control.

What you walk away with

Senior engineers. Fixed scope. Outcomes you can enforce, not a certificate and a PDF from a vendor who never met your team.

Written policy your team can follow

Acceptable-use language tied to how you work, not boilerplate nobody reads. Clear boundaries for what belongs in AI tools and what does not.

Training that matches the policy

A live session so people see the rules in context, with a recording for onboarding new hires. Questions welcome; confusion is the enemy.

Documented risk and priorities

A practical view of where exposure sits today and what to fix first, so leadership can act without guessing.

A simple decision framework

When someone is unsure whether to paste something into a tool, they have a path: ask first, escalate, or stop, without slowing the whole org.

Built in onboarding. Run every month after.

One 15-minute fit call. Scope in writing within 1–2 business days. Live in weeks, tracked on the Atlas platform.

What the onboarding build covers

  • AI usage assessment: current tools and exposure
  • Written acceptable-use policy
  • Live team training, recorded
  • Prioritized risk register

How the partnership runs it

  • Policy kept current as tools change
  • Vendor risk reviewed as new AI enters your stack
  • Ongoing advice runs at the Owned level
  • Compliance mapping for regulated work, scoped in writing

As a client, you work directly with senior engineers. There are no account managers or outsourced support. Every commitment is tracked in writing: response times, actions, health reports.

Partnership from $1,995/mo. Every build is priced in writing on the fit call.

Frequently asked questions

Is this legal advice?

No. We provide operational and technical guidance: how AI tools handle data, what belongs in policy, and how to train your team. Final policy language for regulated environments should be reviewed by your attorney or compliance counsel.

What if we already have an AI policy?

We review what you have, pressure-test it against how your team actually works, and upgrade gaps: tool coverage, data boundaries, and practical enforcement. The goal is a policy people follow, not a PDF nobody reads.

Do you work with regulated industries?

Yes. Healthcare, financial services, and legal are common. Regulated work adds structured mapping to obligations you already have and documentation that leadership can share with counsel or partners. Everything is scoped in writing.

How is this different from an AI training course?

Courses teach prompts. This engagement gives you written rules, documented risk, and a trained team aligned to how your business handles data. Training is included. It sits on top of policy and assessment, not instead of them.

What happens after rollout?

Governance keeps running inside the partnership: vendor reviews, policy updates as tools change, and answers when new questions land. The Owned level carries ongoing advice; builds are scoped as projects.

Will this slow our team down?

Clear rules usually speed teams up: less second-guessing, fewer one-off approvals, and less fear of doing the wrong thing. We scope policy to how you actually operate.

Who is this for?

This is for leadership teams and operators who know AI is in daily use but cannot yet answer “what’s our policy?” or “what can’t go into these tools?” Organizations typically have 5–75 people; larger or multi-department orgs get department-specific addenda.

How do we get started?

Start with a 15-minute fit call, with no commitment. We confirm fit and put the scope in writing within 1–2 business days, before work begins.

Get rules your team can actually follow

Tell us your industry, team size, and what keeps you up at night. Partnership from $1,995/mo. Every build is priced in writing on the fit call.

Not sure where your tech stands overall? Start with a Technology Assessment.