Too many ideas
Departments want AI, but there is no shared prioritization method.
Services
Enterprise AI audit
Decide where to invest in AI before starting an expensive or risky project
We examine objectives, workflows, data, tools, risk, and adoption capacity. You receive a prioritized opportunity list with feasibility, expected value, required controls, and next steps.
An audit designed for decisions and execution
- Prioritized opportunitiesUse cases are compared by value, effort, data readiness, and risk.
- Documented risksData, security, compliance, quality, dependencies, and human approval are reviewed.
- Explicit ROIVolume, time, cost, and benefit assumptions are visible and challengeable.
- Actionable roadmapThe 30, 60, and 90-day plan identifies owners and prerequisites.
Deliverables
AI audit deliverables
You keep the working documents and can execute the roadmap with Opuslon, internally, or with another partner.
Business and technical interviews
Process map and AI-use inventory
Value, feasibility, and risk matrix
ROI estimate with assumptions
Governance and security recommendations
30-60-90 day roadmap and first-pilot proposal
Use cases
When an audit is useful
Tools are already in use
ChatGPT, Claude, Copilot, or automations are used without a consolidated view of risk and results.
A project needs stronger controls
The system will touch sensitive data, customers, or a high-cost operation.
Free starting point
AI Audit Express: an initial score in 15 questions
The free diagnostic covers five maturity pillars. It prepares the discussion but does not replace process, data, and control verification in the full audit.
Review the evidence and context15
qualification questions
5
maturity pillars
30-60-90
roadmap structure
How we launch your first AI system
01
Scope
We choose one concrete use case: customer chatbot, internal assistant, or business automation.
02
Build
We create the prototype, prompts, workflows, guardrails, and required integrations.
03
Connect
We connect the agent to your documents, CRM, forms, emails, tickets, or APIs.
04
Improve
We observe real usage, correct answers, measure gains, and prepare the next use case.
FAQ
Enterprise AI audit questions
How does the free diagnostic differ from the audit?
The diagnostic uses your answers for initial direction. The audit verifies workflows, sources, tools, risks, and assumptions with stakeholders.
Do we need an existing AI system?
No. The audit can prepare a first investment or review AI already used in the organization.
Who participates?
Usually a sponsor, business owner, technical contact, and, depending on risk, security, legal, or data teams.
Do we receive a budget estimate?
Yes, as scenario-based ranges with assumptions. A detailed quote follows once the pilot scope is validated.
Does it prepare for ISO 42001 or the AI Act?
It can identify gaps and priority controls, but formal certification or legal advice requires a dedicated scope and qualified specialists.
Launch a useful AI agent, not a vague project
Describe your need. We help you choose the first AI system to build: chatbot, internal assistant, or business automation.