AI Strategy Consulting
AI governance and acceptable use policy
AI governance states what employees may do with AI tools, what data may be sent where, which vendors are approved, and who reviews high risk uses. Lingows AI drafts policy that matches how a company actually works, because a policy staff cannot follow is bypassed rather than enforced.
01What this is
Effective policy is specific. It names data classifications, approved tools per classification, prohibited uses, and the review path for anything outside the defaults.
Governance is written with an escalation route rather than a blanket prohibition. Staff who need an exception must have a way to ask for one, or they will simply proceed without asking.
02Who this suits
Uncontrolled adoption
Companies where staff already use AI tools with no stated rules.
Regulated industries
Organizations that must document oversight of automated processing.
Client data obligations
Businesses with contractual confidentiality commitments to customers.
03How it works
- Step 01
Classify the data first
Policy rules attach to data classification, not to job title.
- Step 02
Approve tools per classification
State plainly which tools may handle which class of data.
- Step 03
Define review and exceptions
High risk uses get a named reviewer and a documented decision.
04Effort and timeline
| Item | Typical |
|---|---|
| Typical duration | 2 to 4 weeks |
| Coverage | Acceptable use, data handling, vendor review, oversight |
| Format | Policy document plus a one page staff summary |
| Review cadence | At least annually |
05Common failure modes
Blanket prohibition
Banning AI outright moves usage onto personal accounts where nothing is visible.
Policy written by legal alone
Without input from the people doing the work, the rules do not survive contact with daily practice.
No review path
A policy with no exception route gets ignored the first time it blocks real work.
FAQQuestions
Common questions
Does this make us compliant with AI regulation?
No. Lingows AI drafts practical operational policy and does not provide legal advice or compliance certification. Regulatory obligations should be reviewed with qualified counsel.
How long should a policy be?
Short enough that staff read it. A concise policy document plus a one page summary works better than a long document nobody opens.
Last reviewed 2026-08-16
UPWhere this sits
Governance and Policy is part of AI Strategy Consulting. The pillar page covers scope, delivery model, and the other capabilities in the set.
- AI Readiness Audit
An AI readiness audit establishes what has to be true before AI projects can succeed in a specific company. Lingows AI reviews data access, system interfaces, process documentation, security constraints, and team capacity, then reports the blockers plainly and ranks candidate processes by feasibility.
- AI Roadmap
An AI roadmap sequences which projects to build and in what order. Lingows AI writes roadmaps where each item names the target process, the systems involved, the prerequisite work, an effort range in weeks, and the person accountable for the outcome, so the plan can be executed rather than admired.
- Team Training
AI training works when it uses a company's own processes and tools. Lingows AI delivers role specific sessions for general staff, managers, and engineers, covering practical use, the limits of current models, data handling rules, and how to evaluate output rather than accept it.
Talk through governance and policy
Bring the process, the volume, and the systems it touches. Lingows AI will scope the build, the effort range, and what running it costs.