Agent-Readiness Audit
Can an AI agent actually use your website?
AI visibility and agent usability are different. A system may understand what your business does but still struggle to complete an important task on your website. Our Agent-Readiness Audit examines whether AI agents can reliably understand the website, navigate important pages, interpret products and services, interact with controls, understand forms, identify important actions, retrieve relevant information and complete key customer journeys. The result is a measurable baseline that can be tracked before and after improvements.
An Agent-Readiness Audit from Sentry Digital Services tests whether AI agents can actually use a website (navigate its pages, understand its forms and complete its key customer journeys), and records the result as a baseline that can be measured again after improvements.
What Agent-Readiness Audit delivers
A measurable baseline
A readiness baseline that can be measured again after improvements, so progress is shown rather than claimed.
Technical problems found
The specific issues that stop AI agents completing key journeys on your website.
A prioritised remediation plan
What to fix first, so investment goes where it reduces the risk of failed agent journeys.
Competitive benchmarking
How your key journeys compare with competitors, giving clearer investment priorities.
Primary tools
Cloudflare
Playwright
Anthropic Claude
OpenAI
Gemini
PerplexitySecondary tools
Sentry.io
Infisical
Looker
n8n
HermesOne data layer · measured & owned
Every service creates data that is captured, measured and owned.
Agent-Readiness Audit doesn’t just run. It generates signal. We land that data in one warehouse and turn it into live KPIs tied to a named owner, so performance is attributable and acted on, never trapped inside a single tool.
Data warehouse
Supabase
Snowflake
Keboola
BigQuery KPIs, dashboards & apps
Plotly
Retool
Apache Superset Platform-agnostic: we connect what you already use and add a warehouse only where it earns its place.
Who it suits
Which websites should consider it
Lead-generation and quotation sites, manufacturer and distributor websites, SaaS platforms, technical documentation sites, professional-services websites, portals and complex sales journeys.
Why it pays: Prioritise it where the website materially contributes to leads, revenue or quotations.
Ecommerce, booking, travel, property, healthcare, hospitality, recruitment, customer portals and high-volume service websites.
Why it pays: Prioritise it where the website handles bookings, applications, customer support or self-service.
Where this sits
Level 3 · Agent-Usable on the six-level Agent-Ready Web maturity model. See all six levels →
How we select technology
We choose technology last, for the outcomes it has to earn.
Never tech for its own sake. A tool joins the stack only where it measurably protects value, cuts cost or speeds delivery. It must fit a designed system, be owned where it counts, and be measurable from day one. How we select technology →
Speed
Modern, edge-served stacks are sub-second. Slow surfaces cost conversion and SEO every single day.
Cost
Cut licence, hosting and per-task SaaS fees. Pay for capability, not lock-in or idle enterprise tiers.
Security
Flat, edge architecture with almost nothing left to attack: fewer moving parts, smaller surface.
Ownership & no lock-in
Composable and self-hosted where it counts, so you own the system, not rent someone else’s.
Measurability
Clean data and KPIs built in. You cannot improve, automate or apply AI to what you cannot measure.
Fit to process
The right tool for a designed system, selected against process readiness, so it amplifies, not adds friction.
How we deliver · DMAIC
Every Agent-Readiness Audit engagement runs on DMAIC.
Define the goal and its value, measure the baseline, analyse the real constraint, improve with a proven build, then control the gains, so results are predictable, repeatable and defensible, not down to luck.
Agree the goal, value, budget & timescale up front.
Baseline the KPIs above: current state, not guesswork.
Diagnose the real constraint and the solution needed.
Build the chosen solution; prove the uplift.
Lock in the gains; monitor and sustain them.
FAQ
Common questions
How is an Agent-Readiness Audit different from an AI Discoverability Audit?
The AI Discoverability Audit asks whether AI systems understand who you are and what you do. The Agent-Readiness Audit asks whether an AI agent can then use your website to complete a task, such as finding a product, filling in a form or requesting a quotation. A business can be well understood and still be hard for an AI agent to use.
What does an Agent-Readiness Audit produce?
A measurable readiness baseline, the specific technical problems that stop AI agents completing your key journeys, a prioritised remediation plan and a comparison with competitors, so investment goes where it reduces the risk of failed agent journeys.
Which websites need an Agent-Readiness Audit first?
Websites that materially contribute to leads, revenue, quotations, bookings, applications, customer support or customer self-service, for example lead-generation, quotation, ecommerce, booking, recruitment and customer-portal websites.
Start here · the free first step
Agent-Readiness Audit starts the same way every engagement does: with Discovery.
Two distinct moves: a free, no-obligation Discovery Session to find your value at stake, then the Discovery & Blueprint: 14 structured outputs (value model, roadmap and business case) before a pound of delivery is committed.
Engaged alone or as one engine