AI use has outpaced oversight.
People use tools that leaders cannot see clearly. You need to understand what information they handle, where risks arise, and what requires attention first.
Start a conversationGive your business the confidence to put AI to work responsibly.
We turn questions about AI risk into practical rules, review processes, and clear responsibilities. Your people know how to move useful work forward, and your leaders know how to keep control.
Discuss your governance needsWhat your business gains.
Clarity about what can proceed.
Know which uses your team can pursue, which need review, and which fall outside your boundaries.
Accountability people can act on.
Make approval authority, human oversight, and escalation responsibilities clear at each stage.
Visibility as AI use grows.
Keep a current view of applications, vendors, decisions, and controls through a practical review process.
Start where the rules and the work no longer line up.
Useful work gets stuck in review.
Teams cannot find an approver or tell what evidence a decision needs. You need review paths that reflect the risk of each application.
Your policy needs an operating process.
You have written principles, but employees need to know how to apply them. You need ownership, guidance, records, and routines that fit daily work.
The judgment and operating detail to make governance work.
We bring business and technical understanding to the same table as your legal, privacy, security, quality, and regulatory specialists. Together, we connect the risks of a specific use to the controls it needs.
How we workMake risk specific to the work.
We examine the task, information, users, and consequences of an error. Your team gains a reasoned basis for deciding what evidence, safeguards, and oversight each use requires.
Turn policy into a usable process.
We design the intake, review, escalation, and recordkeeping steps with the people who will run them. Employees gain a practical route for proposing and using AI.
Keep authority with accountable people.
We assess AI risk and build the operating process. Your leaders and qualified specialists retain formal advice, approval, and decision authority, with clear responsibilities for ongoing oversight.
What your team takes forward.
We shape the scope around your current AI use, risk requirements, and existing controls. These outputs give your team the rules and operating detail to manage the work.
An AI use and vendor inventory
What are we using, and who owns it?
A practical register of existing and proposed applications, the information they handle, the vendors involved, and accountable owners. Your team can see where to focus its attention.
Risk categories and acceptable-use rules
What can proceed, and on what terms?
Criteria for acceptable, conditional, and prohibited uses, with examples relevant to your business. Employees can understand the boundaries and the review requirements that apply.
Intake and approval workflows
How does a proposal reach a decision?
Defined routes for submitting a use, gathering evidence, assigning reviewers, and recording decisions. Higher-risk applications receive the scrutiny they need, with a proportionate route for routine work.
Vendor and model assessments
Can this tool meet our requirements?
Documented findings on relevant data practices, controls, limitations, and operating requirements. Your specialists have the evidence and open questions they need for a decision.
Decision rights and human oversight
Who reviews, approves, and intervenes?
Named responsibilities for approval, supervision, exceptions, and escalation. Human-review requirements sit within the workflow, with clear instructions for handling uncertainty or stopping a use.
A governance operating routine
How do we keep the controls current?
A review cadence, staff guidance, training, and documentation practices. Your team can maintain the register, revisit decisions as conditions change, and explain how governance works in practice.
From understanding the exposure to running the controls.
We work with the people using AI and the specialists accountable for its use, testing the process against real applications before extending it.
Understand current use
We map applications, information flows, existing policies, and decision responsibilities. Together, we identify gaps and the uses that need attention first.
You leave withA shared view of exposure and priorities.
Design the decisions
We define risk categories, review evidence, approval routes, and human oversight. Your accountable leaders confirm the rules and responsibilities.
You leave withA practical governance model and review process.
Put it into practice
We test the process with real requests, train the people who will use it, and establish records and review routines. We adjust the process where it breaks down.
You leave withA working process your team can maintain.
12 → 7
business days: typical closure time
From investigation completion to deviation-record closure.
Pharmaceutical manufacturerQuality teams closed records faster while leaders gained greater control over AI use.
A pharmaceutical manufacturer needed to clear a documentation backlog while addressing uncontrolled AI use. We established separate approval routes, evaluated vendors, and defined human authorship and review requirements.
Quality teams shortened typical record-closure time from 12 to 7 business days. Client quality and regulatory leaders retained decision authority, and the organization gained a record of AI approvals, controls, and accountability.
Read the governance case studyBefore we begin.
Can you work with policies and controls we already have?
Yes. We begin with your existing responsibilities, policies, and review processes. We identify what needs to change for AI use and fit the operating process into the systems your team already uses where practical.
Do you provide legal advice or certify compliance?
No. We assess AI risk and build governance processes alongside your specialists. We do not provide legal opinions, formal cybersecurity audits, regulatory approval, or compliance sign-off. Those responsibilities remain with qualified advisers and accountable client leaders.
Does the engagement include implementation?
It can. The agreed scope may include policies, intake systems, committee routines, training, and rollout support. We confirm the outputs, responsibilities, timetable, and fee before work begins.
Can our team run governance after the engagement?
Yes. We define ownership and leave the guidance, records, and review routines your team needs to continue. If you want ongoing oversight support, we agree its scope separately.
What does your team need to use AI with confidence?
Bring us the risk question, stalled approval, or gap between policy and practice. In just 15 minutes, we will discuss your situation, the decisions you need to make, and whether we can help.
Request a 15-minute conversation