AI Governance Check for Professional Services Firms
A practical AI governance check for law, accounting, advisory, consulting, and client-service firms using ChatGPT, Claude, Copilot, Gemini, or AI-enabled SaaS.
Summit Guard helps professional services firms see where AI is already being used, what client or confidential data it may touch, which outputs need review, and what leadership evidence is needed before adoption scales.
Practical controls before more AI rollout.
AI adoption is moving faster than firm oversight
Professional services firms are already using AI for research, drafting, summaries, analysis, proposals, internal workflows, and platform features. The risk is not only the tool itself. It is the gap between informal use and the firm’s ability to explain what is approved, what is restricted, who owns the decision, and how client information is protected.
- Staff using AI tools before acceptable-use rules are clear
- Client or confidential information entering tools that were not approved for that purpose
- AI outputs being used in client-facing work without consistent review expectations
- Copilot or AI-enabled SaaS features surfacing information through existing access settings
- Leaders being asked how AI is governed before there is a reliable evidence base
What the check looks at
The check focuses on practical governance questions rather than a broad transformation program. It helps leadership see where AI is active, where the highest-risk gaps sit, and what should be improved first.
- Tool visibility across ChatGPT, Claude, Copilot, Gemini, enterprise assistants, and AI-enabled SaaS
- Client-data boundaries for prompts, uploads, summaries, transcripts, connected apps, and internal knowledge repositories
- Human review rules for client-facing work, decision support, analysis, drafting, and professional judgement
- Vendor settings, retention, logging, access controls, and administration questions
- Ownership, exception handling, escalation paths, and evidence leaders can review
What you receive
The output is intentionally practical. It is designed to help leaders decide whether to tighten minimum controls, run a deeper readiness sprint, or review a specific AI workflow before it scales.
- AI use and tool snapshot across public tools, enterprise assistants, and AI-enabled SaaS
- Client-data boundary observations for prompts, uploads, summaries, integrations, and connected platforms
- Use-case risk classification showing what can continue, what needs review, and what should wait
- Human-review and approval map for client-facing outputs and higher-risk workflows
- Governance evidence pack and 30–90 day action plan for leadership discussion
Built for private professional services firms
This is for firms that need a clear AI governance starting point before AI use becomes embedded across teams and client workflows.
- Law firms managing confidentiality, review, and matter-level AI use
- Accounting firms managing client records, workpapers, calculations, and quality review
- Advisory and consulting firms using AI in research, analysis, proposals, and delivery
- Client-service firms adopting Copilot, Gemini, ChatGPT, Claude, or AI-enabled SaaS tools
Proof without public client names
Sensitive AI governance work is not always suitable for public case studies. Summit Guard shows credibility through method, artefacts, and public guidance rather than named client claims.
- Interactive 10-question AI Risk Check for professional services firms
- Downloadable Professional Services AI Governance Checklist
- Plain-English governance artefacts: tool views, control gaps, review points, ownership recommendations, escalation paths, and action plans
- Framework-aware, not framework-heavy: recognised guidance translated into practical operating controls
- Confidential-by-design public posture with executive-readable outputs
Bridge to runtime governance
Where AI use moves beyond staff prompting into AI agents, connected workflows, or automated actions, governance needs to cover runtime behaviour as well as policy. The check identifies when a separate runtime review is needed.
- Access: what systems, files, records, or SaaS functions the AI workflow can reach
- Action: what the tool or agent can do beyond generating text
- Approval: where human approval is required before higher-risk steps
- Evidence: what logs, records, and decisions are kept
- Rollback: how the firm can stop, reverse, or contain unintended behaviour
What you walk away with.
- Scoping conversation to confirm tools, teams, client-data exposure, and priority use cases
- AI use and tool snapshot across public AI tools, enterprise assistants, and AI-enabled SaaS
- Client-data boundary and human-review observations
- Use-case risk classification using a trust, review, and block model
- Ownership, escalation, exception-handling, and governance evidence gap summary
- 30–90 day action plan for practical control improvement
- Runtime governance trigger points for agentic or connected AI workflows
Mapped to recognised guidance.
- AI.gov.au essential AI practices
- NIST AI Risk Management Framework
- ISO/IEC 42001 governance and monitoring concepts
- OWASP LLM and agentic risk concepts where tool access is relevant
Common questions.
Is this only for law and accounting firms?
No. It is also suitable for advisory, consulting, and other client-service firms where AI use may involve confidential client information, professional judgement, or client-facing outputs.
Which AI tools are included?
The check can cover public generative AI tools such as ChatGPT, Claude, and Gemini, enterprise assistants such as Copilot, and AI-enabled SaaS features used in everyday client or internal work.
Do we need a mature AI policy before starting?
No. The check is useful when policy, ownership, and tool visibility are still developing. It helps identify the minimum controls and evidence that should come next.
Is this a technical security test?
No. It is a governance check focused on visibility, data boundaries, review points, ownership, escalation, and leadership evidence. Technical issues may be identified as follow-up actions where relevant.
What is outside the scope?
Summit Guard provides practical AI governance and cyber risk guidance. Specialist interpretation of legal duties, professional obligations, independent attestation, or compliance sign-off should stay with appropriately qualified advisers.
Can this help if staff are already using AI informally?
Yes. The check is designed for that situation. It helps the firm move from informal use toward clearer rules, approved use cases, review expectations, and accountable ownership.
What if we are rolling out Copilot or another enterprise assistant?
The check can include enterprise-assistant governance questions such as permission hygiene, oversharing exposure, admin settings, staff guidance, review expectations, and how outputs should be used in client or internal work.
What happens after the check?
The firm receives a practical action plan. Depending on the findings, the next step may be policy improvement, tool-specific review, staff guidance, a deeper governance readiness sprint, or a focused review of a connected AI workflow.
Need a clearer view of AI use across the firm?
Request a short scoping conversation. We will confirm whether the Professional Services AI Governance Check is the right starting point and what information would be needed to proceed.