Practical AI Control
Framework
Design the practical AI governance framework your firm needs to allow, restrict and control AI use across people, tools, data and client work.
Many professional services firms are already using AI, considering wider access to tools, or seeing informal usage emerge across teams. The pressure to move is real, but so is the need for control.
Without clear rules, roles, approval criteria and data boundaries, AI adoption can quickly become fragmented. Partners, managers, IT, Risk, Compliance and teams may all make different assumptions about what is allowed, what is restricted, who approves new uses and how client information should be protected.
Akrivium helps regulated, document-heavy firms design a practical AI control framework "” including usage rules, governance roles, approval processes, confidentiality boundaries, Shadow AI controls and operational handover.
We design the framework. Your firm implements and operates it.
Control framework
For AI use inside the firm, leadership needs clear control positions.
A structured AI control framework, not an open-ended governance programme
The Practical AI Control Framework is designed to help leadership create a workable system of AI control without turning the exercise into an enterprise transformation programme, legal audit or technical implementation project.
Fit discussion
A focused conversation to confirm whether your firm needs a practical AI control framework, whether the service fits your current situation, and what kind of AI control scope may be appropriate.
Current-state input
A limited, structured input stage captures relevant context: tools being used or considered, existing rules, risk concerns, stakeholder responsibilities, approval gaps, data sensitivity and signs of declared or suspected Shadow AI.
Agreed AI control scope
The scope is defined before the framework is designed. This confirms the entity, unit, function or agreed area the framework will cover, along with relevant usage categories, stakeholders, boundaries and exclusions.
Framework design and handover
Akrivium designs the practical control framework and provides an operational handover so your internal owners can understand, validate and implement the framework themselves or with existing advisers.
AI use is expanding faster than internal control
AI adoption rarely waits for governance to be perfect.
A lawyer experiments with a drafting tool. A tax team tests AI-supported research. A manager uses ChatGPT to summarise internal material. A vendor adds AI features to software already used by the firm. Someone wants to enable Copilot. Someone else is worried about confidentiality, quality, supervision or client work.
Before long, the firm may have AI usage across people, tools and workflows "” but no practical system for deciding what is acceptable.
The problem is not simply the absence of an AI policy.
The firm wants to benefit from AI, but cannot allow every person, team or practice to invent its own rules.
The deeper problem is that people may not know:
what AI tools they are allowed to use;
what data must never be entered into AI systems;
which uses require approval;
who owns AI decisions;
what managers should allow or restrict;
when Risk, Compliance or IT should be involved;
how human review should work;
how to respond to Shadow AI;
how to give leadership confidence without blocking useful adoption.
Built for regulated, document-heavy professional services firms
This service is designed for professional services firms where AI use touches judgement, confidentiality, client work, quality and reputation.
Law firms
Firms considering or already seeing AI use across legal research, drafting, document workflows, knowledge work, client service, internal operations or legal technology.
Accountancy firms
Firms exploring AI-supported internal processes, client delivery, advisory workflows, document-heavy work or knowledge management.
Audit firms
Firms where AI use needs to be considered alongside quality, review, assurance, professional judgement and control.
Tax and advisory firms
Firms considering AI-supported research, drafting, analysis, internal knowledge or client-facing work where confidentiality and professional responsibility matter.
Regulated professional services firms
Document-intensive firms that need to allow useful AI adoption without creating uncontrolled risk, informal practices or unclear ownership. This service is especially relevant for mid-tier firms: large enough to have real complexity, but not necessarily looking for a heavy enterprise AI governance programme.
When a Practical AI Control Framework makes sense
This service is useful when your firm is facing one or more of these situations:
employees are already using ChatGPT, Claude, Copilot or other AI tools informally;
leadership wants to permit AI use but does not yet have clear rules;
Risk, Compliance, IT or Operations are being asked to approve AI uses without a practical process;
partners or managers disagree about what should be allowed;
the firm is considering wider rollout of generative AI tools;
client confidentiality, personal data or sensitive documents may be involved;
legal tech, audit tech or accountancy tech tools include AI features;
Shadow AI is declared, suspected or likely;
the firm has an AI policy, but it is too generic to guide real decisions;
managers need a clear way to approve, restrict or escalate AI use;
leadership wants control without building a heavy enterprise governance function;
the firm wants to avoid panic, prohibition or unmanaged experimentation.
The right moment for this service is usually before AI use becomes widespread, normalised or difficult to unwind.
A practical AI governance framework your firm can actually operate
The Practical AI Control Framework is not a generic policy document. It is designed as an initial operating system for AI control inside the agreed scope.
It gives leadership and internal owners a clearer answer to the practical questions that matter: what can people do with AI, what should they not do, what requires approval, what data is out of bounds, who decides, who escalates, who owns the rules, how Shadow AI should be handled and how the framework should be put into operation.
AI Governance Operating Model
Defines how AI control is organised. It clarifies roles, responsibilities, ownership, decision rights and the relationship between leadership, IT, Risk, Compliance, Operations, Innovation and business teams. The aim is not to design a new department "” the aim is to make clear who owns what, who approves what, and what should be escalated.
AI Usage Rules
Sets out practical rules for acceptable, restricted and prohibited AI use. This may include rules for general AI tools, approved and unapproved tools, client-facing work, regulated work, confidential material, human review, output treatment and use of AI in professional judgement contexts. The rules are designed to be practical, not theoretical.
AI Use Approval Process
Creates a simple process for approving new AI uses or tools. It defines what information should be provided, who reviews it, which criteria matter, when approval is required, when use should be restricted, and when Risk, Compliance or IT should be involved. The process must be usable "” if it becomes too bureaucratic, people will work around it.
Data & Confidentiality Boundaries
Defines the information boundaries for AI use. This helps the firm clarify what must not be entered into AI tools, what requires review before use, how client confidential information should be treated, how sensitive internal documents should be handled and when uncertainty should be escalated.
Shadow AI Control Protocol
Provides a practical protocol for handling declared, suspected or unauthorised AI use. The protocol helps the firm understand what information should be gathered internally, how exposure should be classified, and how decisions should be made to approve, restrict, prohibit or escalate. It is not technical Shadow AI detection.
Implementation Handover Plan
Provides a clear route for internal implementation. The handover helps the firm understand what has been designed, what needs internal validation, who should be involved, what decisions remain with the client, and how the framework can be put into use without Akrivium becoming a PMO or managed governance provider.
Data & Confidentiality Boundaries is not legal advice or a GDPR opinion. It is a practical control boundary for internal use, subject to the firm's own legal and compliance validation.
Shadow AI needs control, not panic
Shadow AI is the use of AI tools, features or workflows outside clear visibility, approval or governance.
In a professional services firm, Shadow AI may involve employees using general AI tools, AI features embedded in existing software, unapproved tools, informal workarounds or AI-supported processing of confidential material.
The answer is not always a blanket ban. Nor is it credible to ignore the issue.
A practical response requires a control protocol.
Akrivium does not enter systems, review logs, inspect endpoints, monitor traffic, collect credentials or perform cybersecurity work.
Your internal IT, Risk or Compliance teams gather technical or sensitive information where needed. Akrivium works from summarised, aggregated or non-sensitive conclusions to design the control protocol.
The aim is practical visibility and control "” not technical surveillance.
Akrivium's Shadow AI Control Protocol helps your firm define:
what IT may need to review internally;
what signals Risk or Compliance should look for;
how teams can declare AI use without fear-driven behaviour;
how to collect information through guided forms;
how to classify declared, suspected or unauthorised AI use;
how to register tools and usage categories;
how to decide whether to approve, restrict or prohibit use;
how to escalate higher-risk situations;
how to work with summarised, aggregated and non-sensitive findings.
Designed around practical control, not governance theatre
An AI governance framework only works if people can understand and use it. Akrivium designs the framework through a practical control lens.
Ownership and decision rights
Who owns AI rules? Who approves new tools? Who reviews exceptions? Who coordinates Risk, Compliance, IT, Operations and business teams?
Acceptable and prohibited use
Which AI uses are permitted? Which require conditions? Which are restricted? Which should be prohibited because they involve unacceptable exposure?
Data and confidentiality boundaries
Which types of information must not be used with AI tools? What requires prior approval? What should happen when people are unsure?
Approval and escalation
How should new AI uses or tools be requested, reviewed, approved, restricted or escalated?
Human review
Where must human review be required? Who remains responsible for quality, judgement and client-facing output?
Operability
Can the framework be used by the firm after delivery? Is it clear enough for internal owners to maintain without Akrivium operating it on their behalf?
The goal is not to create impressive governance language. The goal is to help the firm make better decisions about AI use.
AI policy and controls for law firms
Law firms face a particular version of the AI governance problem.
AI may support research, drafting, summarisation, internal knowledge, document review, matter analysis or client communication. But legal work also involves confidentiality, supervision, professional judgement, privilege, client expectations and reputational exposure.
For law firm leaders, the relevant questions are practical:
Can lawyers use general AI tools?
What client information is off limits?
Are AI outputs allowed in client work?
What human review is required?
Who approves new legal AI tools?
What should happen if teams are already experimenting?
What should managers allow, restrict or escalate?
How should the firm respond to Shadow AI?
Akrivium helps law firms design a practical AI control framework that gives leadership, managers, Risk, Compliance, IT and practice teams a clearer operating basis.
This is not a legal opinion, professional conduct assessment or regulatory compliance certification. It is a practical control framework designed to help the firm govern AI use responsibly and proportionately.
AI controls for quality-sensitive professional work
Accountancy, audit and tax firms face similar pressure.
AI may appear in research, drafting, review, client communication, internal knowledge, data analysis, workflow support or tools already used by the firm.
The risk is not only whether AI is "accurate". The wider issue is whether the firm has enough control over how AI is being used, by whom, with what information, under what review and with what ownership.
Before AI use becomes normalised, leadership may need to clarify:
which AI uses are acceptable;
which tools or features require approval;
what data can and cannot be used;
when human review is required;
who owns AI decisions;
how to protect client confidentiality;
how to manage informal or unapproved AI use;
how to avoid inconsistent rules across teams.
Akrivium helps accountancy, audit and tax firms design practical AI governance controls without turning the work into implementation, technical audit, legal advice or managed service.
Not sure whether your firm needs an AI policy, a governance framework or something more practical?
A brief fit discussion can help determine whether the Practical AI Control Framework is the right service for your situation. If your firm needs implementation, legal advice, cybersecurity, AI training or a technical audit, this is not the right service. If your firm needs practical rules, roles, approval criteria, data boundaries and Shadow AI control, it may be a strong fit.
Independent AI advisory before wider AI adoption
Akrivium is an independent AI advisory boutique.
We do not sell AI software. We do not resell tools. We do not implement platforms. We do not have an incentive to push your firm into a larger technical deployment.
Our role is to bring structure, judgement and independence to AI control decisions "” helping leadership understand what needs to be allowed, restricted, approved, escalated or prohibited before AI use expands further.
AI governance can easily become too abstract, too legalistic, too technical or too dependent on vendor narratives. Akrivium's role is to help your firm design a practical control framework that fits the way professional services firms actually work.
The purpose is not to slow useful AI adoption. The purpose is to make it controllable.Akrivium · Independent AI Advisory
What leadership receives
The Practical AI Control Framework gives leadership and internal owners a clear, usable structure for controlling AI use within the agreed scope.
You should expect:
A defined AI control scope
A clear view of what the framework covers, which parts of the firm or function are included, what categories of AI use are considered and what remains outside scope.
AI governance operating model
A practical model of roles, responsibilities, ownership, decision rights and escalation routes.
AI usage rules
Clear rules for permitted, restricted and prohibited AI use, including conditions for general tools, approved tools, unapproved tools, client work, confidential information and human review.
AI use approval process
A practical route for requesting, reviewing, approving, restricting or rejecting new AI uses or tools.
Data and confidentiality boundaries
A structured view of what information can and cannot be used with AI tools, and when uncertainty should be escalated.
Shadow AI Control Protocol
A practical protocol for handling declared, suspected or unauthorised AI use without Akrivium performing technical detection or monitoring.
Implementation handover plan
A clear handover so the client can implement the framework internally or with existing advisers.
Operational handover briefing
A focused briefing for internal owners and responsible stakeholders, explaining how the framework fits together, how it should be interpreted and where Akrivium's responsibility ends.
The output is designed for senior decision-makers and internal owners, not technical teams alone.
What this service is not
This service is deliberately bounded.
It is not:
- AI implementation;
- software configuration;
- Copilot deployment;
- ChatGPT Enterprise setup;
- workflow automation;
- PMO support;
- managed AI governance;
- ongoing monitoring;
- technical Shadow AI detection;
- cybersecurity;
- penetration testing;
- log review;
- endpoint review;
- traffic analysis;
- system access;
- legal advice;
- regulatory opinion;
- compliance certification;
- DPIA preparation;
- contract review;
- vendor due diligence;
- AI training;
- prompt engineering training;
- AI literacy training;
- change management programme;
- review of every AI initiative in the firm;
- operation of an AI committee on the client's behalf.
Akrivium designs the practical control framework. Your firm remains responsible for validating, implementing and operating it.
That boundary is part of the value: the service remains focused, independent and usable.
Is this the right fit?
- "What AI use should we allow?"
- "What should we restrict or prohibit?"
- "How do we create an AI usage policy that people can actually use?"
- "How should we approve new AI tools or use cases?"
- "Who should own AI governance inside the firm?"
- "How do we control Shadow AI without overreacting?"
- "What data should be off limits?"
- "How do we give managers clearer rules?"
- "How do we let people use AI without every team inventing its own approach?"
- "How do we create practical AI controls without building an enterprise governance function?"
- AI implementation;
- software deployment;
- technical configuration;
- legal advice;
- regulatory sign-off;
- cybersecurity review;
- technical Shadow AI detection;
- employee AI training;
- prompt engineering workshops;
- full AI transformation;
- ongoing governance support;
- a partner to operate AI governance for you;
- review of every individual AI initiative;
- guarantees of compliance, security or absence of Shadow AI.
This service supports better control. It does not replace the firm's own decision responsibility.
Where this service fits in the Akrivium portfolio
Akrivium's services are designed for different decision points in the AI initiative lifecycle.
AI Opportunity & Readiness Sprint
Validates whether a specific AI opportunity makes sense before committing to it.
Before delivery beginsAI Implementation Blueprint
Defines how a validated initiative should be implemented before delivery begins.
Practical AI Control Framework
Addresses organisation-wide rules, controls and responsible AI use.
AI Value & Portfolio Review
Reviews existing initiatives and helps decide what to scale, fix, pause, stop or redesign.
Frequently asked questions
An AI governance framework is a structured way to define how AI should be used, approved, controlled and overseen inside an organisation.
For a professional services firm, a useful framework should clarify rules of use, ownership, decision rights, approval criteria, data boundaries, human review, escalation routes and responsibilities.
Akrivium's Practical AI Control Framework is designed to be practical and operable, not a generic governance document.
Shadow AI is the use of AI tools, features or workflows outside clear organisational visibility, approval or control.
In a professional services firm, this may include employees using general AI tools informally, teams testing unapproved platforms, or AI features being used in existing software without clear rules.
The issue is not only whether Shadow AI exists. The issue is whether the firm has a practical way to identify, classify, approve, restrict or escalate AI use.
Firms can control Shadow AI by creating clear rules, safe reporting routes, approval processes, risk classification, escalation criteria and internal ownership.
Akrivium helps design a Shadow AI Control Protocol, but does not perform technical detection. We do not access systems, review logs, inspect endpoints or monitor traffic.
Where technical or sensitive information is needed, the client's own IT, Risk or Compliance teams gather it internally. Akrivium works from summarised, aggregated or non-sensitive conclusions.
An AI usage policy should clarify what AI tools may be used, what uses are permitted, what uses are restricted, what uses are prohibited, what data must not be entered into AI tools, what human review is required and who approves exceptions.
For professional services firms, it should also address client confidential information, regulated work, client-facing outputs, personal data, internal sensitive documents and escalation routes.
Akrivium does not position the output as a final legal policy. The client should validate it internally through its own legal, compliance or risk channels.
Many law firms need more than a generic AI policy.
They need practical rules for how AI may be used in legal work, internal workflows, research, drafting, document handling and client-facing activity.
A law firm AI policy or control framework should address confidentiality, supervision, human review, client information, approved tools, unapproved tools, escalation and responsibility.
Akrivium helps law firms design the practical control structure. It does not provide legal advice or professional conduct opinions.
AI governance usually cannot sit with one function alone.
Leadership, IT, Risk, Compliance, Operations, Innovation, practice leaders and business teams may all have roles. The problem is that those roles are often unclear.
A practical AI governance operating model defines who owns the rules, who approves tools, who reviews exceptions, who escalates concerns and who maintains the framework over time.
Yes, but in a deliberately practical and bounded form.
Akrivium provides AI governance consulting focused on practical control: usage rules, roles, approval processes, confidentiality boundaries, Shadow AI control and handover.
It is not enterprise governance transformation, legal advisory, technical audit, software implementation or managed governance.
No.
The service may help define practical control rules and boundaries, but it does not provide legal advice, regulatory opinions, compliance certification or formal legal policy approval.
Any legal, regulatory or compliance validation remains the responsibility of the client and its own advisers.
No.
Akrivium does not perform Shadow AI technical detection. We do not access systems, review logs, inspect traffic, check endpoints, collect credentials or perform cybersecurity work.
We design a Shadow AI Control Protocol so the firm can create internal visibility, classification, escalation and decision processes.
No.
Akrivium designs the framework and provides an implementation handover. The client implements internally or with existing advisers or third parties.
This boundary keeps the service independent, focused and commercially clean.
AI implementation turns a specific tool, workflow or initiative into an operational deployment. AI training teaches people how to use AI.
The Practical AI Control Framework does neither.
It defines the system of control your firm needs before AI use becomes wider, riskier or harder to manage: rules, roles, approvals, data boundaries, Shadow AI control and handover.
That can still be a strong fit.
Many AI policies are too broad, too legalistic or too abstract to guide real decisions. The question is whether your policy gives managers, employees, Risk, Compliance and IT a practical way to decide what is allowed, restricted, approved, escalated or prohibited.
Akrivium can help turn AI policy intent into a practical control framework.
Yes.
The service is relevant for accountancy, audit and tax firms where AI use may affect quality, client work, research, drafting, review, internal knowledge, confidential data or professional responsibility.
The focus is practical AI control, not technical deployment or legal advice.
Create practical AI control before informal use becomes embedded
If your firm is already using AI, considering wider access or seeing informal usage emerge, Akrivium can help you design the practical control framework needed to govern it.
The aim is not to block AI adoption. The aim is to make it usable, governable and proportionate.