AI Readiness Audit
Visible signals that suggest where AI adoption, automation, or governance may need attention - customer-facing AI, workflow automation, AI search, and operating-model clues.
An AI readiness audit looks at visible AI signals across a website, content, and hiring footprint: current adoption hints, automation opportunities suggested by visible work, data and governance signals, and competitive position. The output is a prioritised roadmap based on those signals.
Scope note. This audit uses visible website, content, and operational signals. It does not inspect private internal systems, vendor contracts, or production AI deployments.
Audit suite
AI Readiness
Verified checks
Example findings
8
Every check verified against live data.
Grouped into 5 categories. Code runs every check against your live site - AI only writes the narrative around verified findings. Methodology is proprietary; the cards below describe what each category catches.
01
8 checksCustomer-Facing AI
Whether your site already has visible AI - chatbot platforms, AI search, voice agents, personalisation engines - and whether they're LLM-powered or basic rule-based.
02
7 checksAI in Marketing Voice
Whether your messaging claims AI capability, whether the claim matches the visible product, and whether customer-facing AI is explained clearly.
03
6 checksAutomation Platform Signals
Workflow automation maturity - Zapier/Make/n8n, agent-facing discovery signals, and whether the site gives AI-assisted workflows enough structure to act on.
04
9 checksOperational Tool Signals
Whether your business already runs on the kind of software that plugs into AI easily - customer management, scheduling, support, and analytics tools - plus more advanced signals for teams already building AI features in-house (vector DB, LLM observability platform, AI Gateway, edge AI inference).
05
6 checksAutomation Opportunity
Manual processes visible in your copy ("call us", "email us back", "fill in the form") that may be good candidates for AI-assisted triage, routing, or follow-up.
Specific check definitions, regex patterns, and severity rubrics are not published. The output is a verified, evidence-backed report - not a methodology document.
Three things that quietly cost you customers.
AI-assisted content can broaden long-tail coverage.
For ecommerce and content-heavy businesses, AI-assisted product or category content can expand the variations a site covers and may improve long-tail discoverability over time. The audit flags where content depth and structure are likely the bottleneck.
Support triage is a common early AI win.
First-line support workflows (categorisation, routing, FAQ deflection) are a frequent early AI use case and can materially reduce manual triage volume. The audit looks for visible signals that AI-assisted workflows are or are not in use.
AI advantage requires accessible data - not legacy.
AI tools amplify what's already accessible. Businesses with data trapped in PDFs, paper invoices, or legacy ERPs can't deploy AI productively until that data becomes machine-readable. The audit identifies which data sources are AI-ready and which need structural work first.
Manual enquiry flow visible with no scheduling or triage automation signal
Evidence
Public contact paths ask visitors to call, email, or submit a form, and no visible self-scheduling or automated routing integration was detected.
Recommended fix
Map the enquiry flow and test one low-risk improvement, such as self-scheduling, instant acknowledgement, or automated routing. Measure response time and conversion before expanding the automation.
Business impact
This is an opportunity signal, not proof of an internal process gap. Validate it against real enquiry volume, response times, staffing, and conversion data before investing.
Fictional example of the evidence, fix and impact structure. It is not a current report or a finding about your site.
Questions, answered.
What buyers ask before running their first ai readiness audit.
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Create an account to start a Full Audit. This suite includes 47 catalogue checks; applicability depends on your site and scope. Review recorded evidence and a prioritised action plan.