Solutions / Artificial Intelligence
AI Policy Development
AI Is Already Here. The Question Is: Are You in Control?
Across your organization, AI tools are already in use—by staff testing models, by teams piloting Copilot, or by departments plugging AI into workflows. What’s often missing is governance. Without clear policy, you don’t just have a tech issue—you have a risk issue.

When there’s no formal AI policy:
- Employees guess what’s okay
- Risk teams are left out of the loop
- Auditors lose trust
- Insurers start asking hard questions
ATS helps you write the policy that puts you back in control. We work fast, align to the standards that matter, and deliver documentation that’s trusted—internally and externally. In weeks, not months, your organization will have the clarity it needs: where AI is allowed, where it isn’t, and who’s responsible for making sure the line holds.
Where Policy Makes the Difference
Financial Institutions
Loan officers start using generative models to prep disclosures. Risk hasn’t signed off. At audit time, that’s flagged as unsanctioned AI use. Without policy in place, you’re exposed.
A strong AI policy draws the line between personal testing and authorized use—and makes oversight real.
Healthcare
A nurse uses ChatGPT to help write a visit summary. PHI slips through. A breach report follows.
The question isn’t intent—it’s control. A formal policy sets the boundary that protects your license, your patients, and your data.
Government Contractors
Your federal RFP asks for proof of AI governance. Competitors submit clear policies aligned to NIST and CMMC. You don’t. That can cost the award. Documentation is no longer optional; it’s part of the bid.
Nonprofits and Associations
A funder requests your AI governance policy. You don’t have one. The grant review stalls.
Policy equals operational trust, and sometimes, funding continuity.
Mid-Market Enterprises with Cyber Insurance
Your insurer wants to know how you govern third-party AI tools. No documentation, no details. Your renewal comes with exclusions you weren’t expecting. The cost of a policy is less than the cost of not having one.
Retail
Your support team adopts generative AI to help respond to customer inquiries faster. One agent pastes a full chat transcript, including credit card data, into a public tool. Without clear guidance, frontline decisions can trigger compliance violations. A policy prevents accidental data exposure and keeps AI use aligned with security standards.
Professional Service Firms
Consultants begin using AI to draft deliverables for clients, but no framework exists for what’s allowed. A client notices hallucinated output and demands an explanation.
An AI policy clarifies usage boundaries, protects your reputation, and reinforces trust across engagements.
Our Process: From Uncertainty to Enforcement in Four Steps
Step 1:
Discovery and Compliance Mapping
We start with a fast, focused session to:
- Identify where Al is already in use—official or not
- Map sector-specific regulator obligations
- Clarify risks tied to data, workflows, and vendors
We align your policy to the frameworks that count:
NIST AI RMF, ISO/IEC 42001, HIPAA, FedRAMP, CMMC, CFPB, NYDFS, and more. This structure gives your legal team something they can sign off on—without rewrites.
Step 2:
Policy Drafting and Governance Alignment
We define:
- What tools are approved—and which are not
- Who grants approvals and oversees use
- How Al use is logged, reviewed, and governed
- How vendors are evaluated
- What happens when policy is ignored
You get a policy that’s ready for operational use, built to reflect your internal structure, regulatory obligations, and practical oversight needs. It’s written to be clear, enforceable and aligned with how your organization actually works.
Step 3:
Review and Finalization
We manage feedback across all stakeholders and finalize the policy without dragging it out. You’ll get:
- Clear justifications for every clause
- Timelines that don’t slip
- Edits that speak the language of your board and your regulators
Step 4:
Training and Rollout
We help your policy take root:
- Plain-language training materials
- Role-based quick guides
- Intranet-ready content and templates
- Optional recorded sessions for onboarding
The result:
A policy people understand, reference, and actually use—day to day, role to role.
AI policy enforcement is directly integrated with technical compliance mechanisms, including Microsoft Purview for policy management, Azure Policy for technical control, and Entra ID for identity governance.
Version control for AI policy documents is maintained through formal change management platforms, ensuring clear historical tracking of all revisions.
Why ATS
We Write for Auditors, Boards, and Staff
Every policy is written for your world—with language, controls, and frameworks aligned to your sector.
We Work Fast—With Precision
Most policies are completed and approved in 3–5 weeks. You get clarity without delay.
We Don’t Use Templates
No general usage boilerplate. Every policy is written to match your structure, your needs, and your maturity level.
Operational roles for ongoing maintenance and updates of the AI policy, such as IT operations leads, compliance officers, or an AI governance committee, are explicitly defined.
AI policy enforcement is clearly integrated with daily IT operational workflows, including direct pathways for helpdesk escalations, data breach responses, and policy violation incidents.
Monitoring and compliance verification methods, including periodic internal audits and automated compliance checks, are established as part of the policy enforcement.
Procedures to respond effectively to policy violations are explicitly documented, detailing escalation protocols, remediation steps, and reporting requirements.
AI Policy Development FAQ
What frameworks do you align to?
We align to NIST AI RMF, ISO/IEC 42001, HIPAA, FedRAMP, CMMC, SEC, CFPB, and any others relevant to your sector.
How long does it take?
Most policies are finalized within 3–5 weeks of kickoff.
What if my team is already using AI?
That’s exactly why we’re here. We document what’s happening and govern it properly.
What happens after?
You own the policy. We’re available for updates, expansions, and alignment as your governance matures.
Lead With Clarity, Not Assumptions
AI is already influencing how your teams work, whether it’s acknowledged formally or not. Without guidance, well-meaning staff are left to guess, and risk exposure grows quietly. A well-structured AI policy isn’t about limiting possibilities—it’s about giving your organization the clarity to adopt new tools responsibly, with alignment across teams and leadership.
When expectations are clear, decisions move faster. Momentum builds safely. And stakeholders—internal and external—gain confidence in how your organization manages change. That’s the value of a strong policy: not control for control’s sake, but direction with purpose.
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