Campaign launch time fell about 75%, with 15% more conversions than the ads already running.
Otrium Ad Creative Agent
Agent Ready Award Agentic Achievement Award
SPARk Payment Journey Assessment Agent
A merchant payment journey is assessed end to end with evidence, and without a questionnaire.
An agent walks a merchant's public payment journey end to end and writes an evidence-backed assessment.
What the agent does
Walks a merchant's public payment journey end to end on its own, then writes an evidence-backed assessment with recommendations.
- Brand
- Stripe
- Industry
- Retail, Financial Services
- Audience
- B2B, B2C
01
The problem
Why this exists
Assessing a merchant's payment journey is expert manual review. Someone walks through the checkout experience, notes what is missing, and judges it against what good looks like for that kind of business.
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It does not scale, and it is not consistent, because the standard lives in the reviewer. It is also not repeatable across business models: what counts as a well-built subscription checkout is not what counts as a well-built B2B SaaS one.
02
Outcomes
What changes when this is in place
- Merchant payment journeys are evaluated end to end autonomously, against publicly accessible surfaces rather than against a questionnaire.
- Output is structured and evidence-backed, tailored to each merchant's business model.
- The system adapts its evaluation logic across B2C retail, subscription, and B2B SaaS contexts without human configuration per engagement, which is the part that makes it usable at scale.
03
How it works
Architecture
SPARk is a custom agentic application. It evaluates publicly accessible merchant payment journeys end to end, interprets its findings against Stripe's best practice framework, and produces structured recommendations with the evidence attached.
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The framework is the fixed part and the reasoning is the variable part. Rather than encoding one checklist per business model, the agent applies the reasoning framework to whatever it finds, which is why it can move between retail, subscription, and B2B SaaS without reconfiguration.
Orium is explicit that this is not automation of a repeatable task. The agent exercises judgment, applies a reasoning framework to variable inputs, and produces outputs that previously required expert manual review.
Open standards used
REST APIs
Tech stack
Autonomous journey evaluationStripe best practice framework
Resources
Next step
Request an intro
Orium is behind this solution. Ask about assessing payment journeys at scale, and the MACH Alliance will put you in touch with the person who can answer.
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Verification
Published case study
The detail on this page is drawn from a case study published by the contributor or the MACH Alliance. Any figures on this page are the ones that case study states.
Where this came from
Solution detail is published from the contributor's 2026 Agent Ready submission to the MACH Alliance. Submitter names and contact details are not published.
Status: Live in productionAdded Jul 8, 2026A listing is an editorial decision, not a MACH Alliance certification.
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