introducing
your next users won't be human. make sure you don't disappoint them.
the shift
of online purchases will involve an ai agent in the decision or execution by 2027. (gartner)
in annual e-commerce gmv projected to flow through agent-mediated transactions within three years.
of agent shopping sessions fail to complete a purchase on sites not built with agent compatibility in mind.
of Fortune 500 consumer brands have a documented agent experience strategy. the gap is open.
how it works
a coordinated swarm of specialized ai agents is deployed against your product. each simulates a distinct real-world use case — shopping, purchasing, selling, tracking — exactly as your customers' agents would.
each agent attempts its assigned flow end-to-end. every friction point, failure, and dead end is logged. structured data gaps, bot-detection blocks, non-standard forms, undocumented api behavior — all of it surfaces.
your ax playbook — scored by flow, benchmarked against a key competitor, and paired with a prioritized solutions roadmap — is delivered in full. the fixes are specific, actionable, and ranked by impact.
the playbook
the highest-value agent opportunities for your product — grounded in your real, public revenue numbers. each includes an opportunity estimate: what percentage of that revenue could become agent-mediated by 2027, and what that represents in dollars.
a comprehensive agent experience score across every tested flow — pass, partial, or fail — with swarm feedback showing exactly where and why agents get stuck. scored 0–100, grouped by use case.
a head-to-head comparison with one key competitor's agent experience — their score, their structural advantages, and a clear view of the gap and what it costs you.
specific, implementable fixes ranked by impact and engineering effort. each maps to affected flows, with clear acceptance criteria for what "fixed" looks like to an agent.
the methodology
“most audits tell you what's missing. ours shows you what fails — because it actually fails.”
our swarm doesn't scan for technical compliance. it attempts to use your product the way real agents do — with the same constraints, same tooling, same success criteria. if a checkout captcha blocks a purchase, our agent discovers it. if authentication certificates are unreadable to an llm parser, the swarm flags it.
each flow produces a transcript: what the agent tried, what it encountered, what it returned. the playbook is built on this ground-level evidence — not assumptions.
see it in action