Not sure where to start
Everyone agrees AI matters, but there is no shared, evidence-based view of which problems are worth solving first.
AI audit · AI readiness assessment
An AI audit that shows exactly where AI will pay off — and where it won’t
Our AI audit maps how work flows through your business, measures readiness, and scores every AI and automation opportunity by value, effort and risk. Already running AI? We also audit existing AI systems for accuracy, security, cost and compliance.
Overview
What an AI audit can do for your business
A typical AI audit takes one to three weeks, depending on the number of teams and systems in scope. It combines stakeholder interviews, process walkthroughs, a systems and data review, and a feasibility and risk assessment.
The result is evidence, not opinion: a scored opportunity map, a readiness baseline and a recommended first project — useful on its own, whether you implement with us or not.
Problems we solve
Sound familiar?
Pilots without a path to production
Experiments look impressive in a demo but are not tied to a business metric, an owner or a budget.
AI already live — but unverified
Chatbots, agents or automations are running without measured accuracy, cost controls or a clear risk owner.
How it works
An example, step by step
A typical engagement shown as a single run from trigger to measurable outcome. Every step, tool and checkpoint is tailored after consulting and audit.
- 01 · Business triggerAudit kick-off with sponsors and process owners
- 02 · AI agentYan Soft Labs audit team
- 03 · ReasoningInterviews, process walkthroughs, systems and data review
- 04 · Business toolsYour CRM, ERP, helpdesk, documents and data
- 05 · Automated actionReadiness score, opportunity map and risk review
- 06 · OutcomeEvery AI investment justified before it is built
What you get
What we deliver
Workflow analysis
End-to-end mapping of priority processes, time spent, volumes and failure points.
AI readiness assessment
Data, systems, skills, governance and leadership readiness scored against a clear baseline.
Scored opportunity map
Every AI, agentic AI and automation opportunity rated by value, effort, risk and readiness.
Existing AI system audit
Accuracy testing, prompt and data security, access controls, cost and vendor risk for AI already in use.
Risk & compliance review
Data sensitivity, regulatory considerations and human-oversight requirements for each opportunity.
Roadmap & first project
A phased plan with owners and success metrics, and a recommended first implementation.
Free self-assessment
Not ready for a full audit yet?
Take our six-question AI readiness check. It runs in your browser and recommends a sensible first step.
How we engage
Consulting first. Then delivery.
Every engagement follows the same disciplined path, so scope, risk and success measures are agreed before anything is built or taught.
Consultation
We understand your goals, constraints and context — and tell you honestly whether this service is the right fit.
Scoping
We map the relevant processes, data, systems and people, and agree scope, risks and success measures in writing.
Audit & findings
Interviews, walkthroughs and reviews produce a scored opportunity map and risk review.
Training & handover
Your team is trained to use, supervise and improve the result, with full documentation.
Measure & optimize
We compare results against the baseline and agree the next priority.
Use cases
Where this works well
- AI readiness assessment
- Automation opportunity mapping
- Agentic AI feasibility review
- Audit of existing chatbots and agents
- AI security and data-leakage review
- AI cost and vendor review
Technology
Tools and platforms
- Process mapping and value-stream analysis
- Systems and data inventory
- Evaluation test sets for existing AI
- Risk and compliance checklists
- ROI modeling on your numbers
We’re tool-agnostic and recommend what fits your volume, security needs and team. See integrations.
Related
Industries and insights
Professional Services
Consultancies, agencies, legal, accounting and advisory firms sell expertise — yet a large share of every week goes to intake, document handling, status updates and reporting.
Learn moreFinancial Services
Lenders, insurers, fintechs, wealth managers and in-house finance teams process large volumes of documents and data under strict controls.
Learn moreHealthcare Operations
Clinics, practices and health-services businesses carry a heavy administrative load.
Learn moreFAQ
AI Audit: common questions
How long does an AI audit take?
Typically one to three weeks, depending on the number of teams, processes and systems in scope.
What do we get at the end?
A readiness baseline, a scored opportunity map, a risk and feasibility review, a recommended architecture and a phased roadmap — presented to your leadership team.
Can you audit AI systems we already use?
Yes. We test accuracy on real examples, review prompts, data flows and access, check costs and vendor terms, and recommend fixes and guardrails.
Do we have to implement with you afterwards?
No. The audit is designed to be useful on its own. Many clients continue with us for implementation and training, but the roadmap is yours.
Talk to us about an AI audit
Book a free 30-minute strategy call. We’ll look at one or two of your processes, tell you honestly whether AI is the right fit, and outline what a first project could look like.
- 30 minutes, no obligation
- Honest fit assessment
- Clear next step