Useful for a realistic B2B view of agentic commerce adoption, payment standards, liability, trust, and instant payments.
Best for
Payments or e-commerce technology brands wanting a realistic view of agentic commerce adoption and blockers.
Not for
Consumer awareness campaigns needing video, guaranteed reach, or standard sponsored posts.
Key takeaways
Agentic commerce has more slides and posts than completed transactions.
Three barriers move together: standards, liability and consumer trust.
Greece's IRIS instant-payments rollout uses existing infrastructure across person-to-person, online and in-store payments.
Check first: Confirm audience occupation and industry details, since only a LinkedIn follower count is provided.
Main ideas
Agentic commerce has more slides and posts than completed transactions · Three barriers move together: standards, liability and consumer trust · Merchants will not give up the customer without distribution, and commerce in search has failed before
Christian von Hammel-Bonten writes about payments and e-commerce, focusing on agentic commerce and instant payments. The posts examine the technical, legal and trust barriers that could keep agents from completing real purchases, alongside payment systems already working across online and physical channels.
Von Hammel-Bonten brings big claims about commerce technology back to the decisions businesses face.
Their discussion of OpenAI Instant Checkout and merchant adoption adds a commercial tension: merchants need a reason to give new interfaces access to customers, while the shopping experience remains hard to standardize.
The result is a useful perspective for readers weighing what to prepare now without mistaking forecasts for proven consumer behavior.
Von Hammel-Bonten also highlights a concrete counterpoint to distant technology promises: Greece’s IRIS instant-payments rollout, presented as a way to use existing infrastructure across person-to-person, online and in-store payments.
Christian von Hammel-Bonten's recurring argument is that agentic commerce is being sold well ahead of what it can do.
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They set industry forecasts that AI agents will handle up to 30% of online purchases by 2030 against pilot attempts, whitepapers and LinkedIn posts, with almost no purchases completed end to end by an agent.
The blockers they name are competing technical standards; contract, liability and consumer-protection law that assumes a human buyer; and customers reluctant to hand over the purchase decision, especially for higher amounts.
Their practical priority is preparation, not prediction: payments and e-commerce teams should work now on data availability, data quality, checkout, identification and liability logic, while each retailer answers whether to give a new front-end control of the buyer.
On European payments, they take a more optimistic line, treating existing instant payment infrastructure as the fast route and pointing to Greece's IRIS Commerce rollout rather than waiting on the digital euro or EPI/wero.
Across all three posts, they draw on named outside sources and their own conversations with e-commerce retailers rather than their own forecasts.
Agentic commerce has more slides and posts than completed transactions
The core claim is that the industry's adoption numbers are not backed by purchases.
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Christian von Hammel-Bonten contrasts the promise that AI agents will take over up to 30% of online purchases by 2030 with early pilot attempts, whitepapers and LinkedIn posts, and says almost no purchases have been run end to end by an agent.
They say they put this position to Markus Montz for heise.de and still hold it: hype alone is not enough.
They invite readers to discuss it in comments or by direct message.
For brands, the implication is clear: vendors pitching an agentic-commerce roadmap should expect questions about evidence of completed transactions.
The post contrasts the 30%-by-2030 forecast with the absence of real agent-run purchases, and points readers to the heise.de article in the comments.
Three barriers move together: standards, liability and consumer trust
They describe three parallel blockers for agentic commerce.
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Technology: competing standards and solutions.
Law: contract formation, liability and consumer protection are not written for autonomous agents.
Trust: consumers are reluctant to give up the purchase decision, particularly for higher amounts.
Their advice is not to wait: the underlying choices must be made early.
Payments and e-commerce teams should start treating data availability, data quality, checkout, identification and liability logic as agent-ready problems now.
The strategic question they put to every retailer is whether it wants to give control of the buyer to these new front-ends, framed as 'Are Agents Fool or Friend?'.
The post's checklist names data availability, data quality, checkout, identification and liability logic as areas to prepare, and closes with a question about retailer control.
Merchants will not give up the customer without distribution, and commerce in search has failed before
They endorse an outside analysis rather than make a prediction: they quote Benedict Evans's newsletter at length, saying it summarises the situation well and reflects what they learned from discussions with e-commerce retailers.
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The quoted argument is that OpenAI pulled back from Instant Checkout while Shopify said only a dozen of its millions of stores had been enabled; integrating shopping into general search and discovery has been a tar pit for twenty years, with Google and Meta failing at it repeatedly; standardising metadata for millions of merchants inside one platform experience is very hard; merchants need a lot of distribution before they give up control; and the consumer flow is still unclear. Hammel-Bonten's contribution is the endorsement and the retailer conversations behind it.
Evans's illustration, passed on in the post, is that asking an AI app to buy missing fridge ingredients through Instacart or shop coats from an Instagram feed sounds straightforward but requires product, business-development and consumer-behaviour work that is far harder to deliver.
Build on payment rails that already exist instead of waiting for a new European programme
On European payments, the tone flips.
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While the digital euro and EPI/wero are debated as sovereign solutions, they hold up Greece as an example of a country that simply implemented one: a national instant payments solution on A2A OpenPayments and SCT Inst, available at every point of interaction and spanning P2P, eCommerce and point of sale.
They argue this needs no millions or billions because the underlying infrastructure is already there, and quote the Greek announcement in support.
The contrast with their agentic-commerce writing is the point: instant payments are presented as achievable now, while agent-run commerce is still unproven.
The quoted announcement states that from December 1st Greece will have a unified national instant payments solution available at every point of interaction. It describes this as an important step for the economy, businesses and citizens, and a collaborative effort across the payments ecosystem.
Read alongside the agentic-commerce posts, this shows where they see near-term progress: the same practitioner who calls agentic commerce slide-heavy treats instant payments on existing rails as a fast, practical route already being taken.
Answers the first question newcomers ask about agentic commerce — is it actually happening yet? — and names the specific barriers shaping the timeline.
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This post summarises how Christian von Hammel-Bonten put the topic to Markus Montz for heise.de.
The industry promises that AI agents will handle up to 30% of online purchases by 2030; the reality described here is pilot attempts, whitepapers and LinkedIn posts, with almost no purchases completed end to end by an agent.
The reasons fall into three groups: technology (many competing standards and solutions), law (contract formation, liability and consumer protection are not designed for autonomous agents), and trust (consumers do not hand over the purchase decision quickly, especially for higher amounts).
The post ends with a decision question for any e-commerce retailer — are you willing to give control of the buyer to these new frontends, "Sind Agents Fool or Friend?" — and a short checklist: think about data availability, data quality, checkout, identification and liability logic now, because those choices have to be made early.
For brands planning a campaign
A ready-made framing for a webinar or advisory session: instead of predicting adoption, walk a retailer audience through the three barrier groups and the control question, then use the technical checklist as the session agenda for payments and e-commerce teams.
Shows the slow-adoption story from the platform side: even a large player with a checkout product struggled to get merchants on board.
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The post quotes a Benedict Evans newsletter reporting that "OpenAI is pulling back from Instant Checkout, while Shopify said that only a dozen of the millions of stores on its platform were enabled so far."
The analysis argues that integrating shopping into general-purpose search and discovery layers has been a tar-pit for twenty years, with Google and Meta failing at it repeatedly: standardising metadata for millions of merchants inside one platform experience is hard, merchants need a lot of distribution before they give up control, and the consumer flow is not settled either.
Yet asking an AI app to buy missing ingredients from a fridge photo and a recipe, or to shop from an Instagram feed, sounds straightforward.
Christian von Hammel-Bonten says this matches what discussions with e-commerce retailers have revealed.
For brands planning a campaign
Useful in support of a "why this is slow" argument. A vendor can point to a major checkout product reaching only a dozen merchants, making the case for readiness and advisory work rather than an adoption-timeline pitch.
A concrete counterexample to slow-moving payment schemes: instant payments reaching every channel without a new multi-billion-euro programme.
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While Europe debates the digital euro and EPI/wero as sovereign solutions, this post points to Greece as a faster route: a national instant payments solution built on A2A OpenPayments and SCT Inst, available at every point of interaction and covering P2P, eCommerce and POS.
The post quotes the announcement that "as of December 1st, Greece will have the possibility to benefit from a unified national instant payments solution available at every point of interaction," describing the IRIS Commerce rollout as an important step for the economy, businesses and citizens and as a collaborative effort across the payments ecosystem.
The comment adds that this needs no millions or billions because the underlying infrastructure already exists.
For brands planning a campaign
Supports a session on instant payments as a settled building block for cross-channel and agent-ready commerce, giving a European payments audience a concrete example rather than an aspirational roadmap.
Approach: short practitioner commentary in German and English3
The gap between agentic-commerce promises and real transactions1
Three barriers: standards, liability and consumer trust1
Merchant distribution, metadata and a 20-year pattern of failure1
Instant payments as infrastructure that already exists1
The gap between agentic-commerce promises and real transactions
In a German-language post, Christian von Hammel-Bonten argues that agentic commerce today generates more slides, whitepapers and LinkedIn posts than completed purchases.
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They contrast forecasts that AI agents will handle up to 30% of online purchases by 2030 with what they describe as early pilot attempts and very few true end-to-end agent transactions. They say they summarised this position in a conversation with Markus Montz for heise.de and invite further discussion in comments or direct messages.
Credits a conversation with heise.de journalist Markus Montz and points readers to the article link in the comments.
For brands planning a campaign
A vendor pitching an agentic-commerce timeline should expect questions about proof of real transactions. A session focused on what works today, backed by pilot data, fits better than a forecast-led pitch.
Three barriers: standards, liability and consumer trust
They identify three parallel barriers to adoption.
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Technology: competing standards and solutions.
Law: contract formation, liability and consumer protection rules were not written for autonomous agents.
Trust: consumers are reluctant to hand purchase decisions to a machine, especially for higher-value purchases.
Their advice to payments and e-commerce teams is to start now on data availability, data quality, checkout, identification and liability logic, while each retailer answers a strategic question: whether to hand control of the buyer to a new front-end.
They frame it as 'Are Agents Fool or Friend?'
For brands planning a campaign
The three-barrier framework gives clients a practical readiness checklist and a concrete agenda for a webinar or advisory session across technology, legal and customer-trust workstreams.
Merchant distribution, metadata and a 20-year pattern of failure
Writing in English, they quote Benedict Evans's newsletter at length: OpenAI pulling back from Instant Checkout and Shopify saying only a dozen of its millions of stores were enabled so far.
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The quoted passage argues that integrating shopping into general search and discovery has been a tar pit for twenty years, with Google and Meta repeatedly failing at it; that standardising metadata across millions of merchants is hard; that merchants need substantial distribution before giving up control; and that the consumer flow is still unclear. They say the quote 'summarises it well and reflects what I learned from discussions with eCommerce retailers,' and share Evans's illustration of ordering fridge ingredients through Instacart or coats off an Instagram feed as theoretically possible but hard to deliver.
Quotes the named source at length and anchors it with their own conversations with e-commerce retailers.
For brands planning a campaign
This is useful evidence for a brief that needs structured skepticism about agent front-ends. A vendor should answer the distribution-for-control trade-off with proof from retailers, not capability demos.
Instant payments as infrastructure that already exists
In a second German post, Christian von Hammel-Bonten praises Greece's IRIS Commerce rollout, which from December 1 spans P2P, eCommerce and point of sale on A2A OpenPayments and SCT Inst.
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They contrast it with ongoing European debate about the digital euro and EPI/wero as sovereign solutions, arguing that efficient, fast implementation needs no millions or billions because the underlying infrastructure is already there. They quote the Greek announcement describing a unified national instant payments solution available at every point of interaction.
Contrasts two European approaches and supports the argument with a direct quote from the official rollout announcement.
The tone is markedly more optimistic than in the agentic-commerce posts: this is presented as a fast, achievable route already being taken, not a promise. The contrast signals where they see real progress.
For brands planning a campaign
A campaign on European instant payments can use this as a positive worked example. For a webinar, it pairs naturally with the agentic-commerce reality check as 'what can move fast now versus what cannot.'
Approach: short practitioner commentary in German and English
The posts are compact LinkedIn commentary with a consistent structure: a position statement, a named source or example, a short list of reasons or conditions, then an invitation to comment or message.
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Two posts are in German and one in English, and all credit external sources: a heise.de interview, the Benedict Evans newsletter and the Greek rollout announcement. They state their position plainly and defend it with conditions, as in 'that is what I summarised and I stand by it.'
Combines their own position with third-party reporting and experience from retailer discussions, keeping each post focused on one subject.
For brands planning a campaign
For a DACH-focused payments or e-commerce audience, the German and English posts reach two segments with the same arguments. The format suits a short expert contribution or discussion-led session better than a long-form tutorial.
Christian von Hammel-Bonten's posts disclose no sponsorship, affiliate, employment, client, ownership, or investment relationship.
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They offer commentary and analysis: they assess agentic commerce and instant payments, quote other analysts, and contribute an assessment to press coverage.
In that press contribution, heise.de quotes them on agentic commerce.
The posts also discuss IRIS Commerce, EPI/wero, the digital euro, OpenAI, and Shopify as subjects of analysis, not brands they work with.
heise.de
Mention
Christian von Hammel-Bonten gave an assessment of agentic commerce to heise.de for an article by Markus Montz, then republished it in a LinkedIn post.
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The post says agentic commerce produces far more slides, whitepapers, and posts than completed transactions, while technical standards, legal questions of contract and liability, and consumer trust remain parallel barriers.
Christian von Hammel-Bonten writes short, practitioner-facing LinkedIn commentary on where payments and e-commerce are heading, separating promises from completed work.
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Start with the agentic-commerce posts: they set industry forecasts against the small number of real agent-run purchases, then break the gap into three blockers—competing technical standards, law that assumes a human buyer, and customers who will not hand over the purchase decision quickly.
The Greek IRIS Commerce post offers the opposite case: instant payments built on existing infrastructure and presented as achievable now.
The three posts are compact and self-contained, two in German and one in English, and each names an outside source—a heise.de interview, Benedict Evans’s newsletter, or an official rollout announcement.
Readers interested in payments and commerce can follow the named sources and the professionals in the same conversation.
For adjacent thinking, Moritz Heininger writes about AI adoption and agent onboarding inside companies; Marcel Eberhardt teaches sales-process and culture lessons from operating numbers; Melissa Schröder writes in German about leadership, recruiting and motivation.
Ask for dates and a fuller record if those matter to your assessment.
Both write German-language LinkedIn posts that teach from operating experience and turn hard-won numbers into transferable steps.
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Eberhardt’s offer-to-win post walks through the assumptions behind a weak proposal before giving a working structure, and their cultural-debt post builds a cost model from a real management episode. That mix of a plain position, numeric evidence and a checklist is close to Christian von Hammel-Bonten’s approach in the agentic-commerce posts, where forecasts are set against actual transaction counts and translated into a readiness checklist.
Eberhardt writes about B2B sales proposals and organisational culture, not payments, agentic commerce or e-commerce technology. Their posts draw on sales and hiring metrics rather than payment standards, regulation or consumer behaviour.
Schröder writes short German-language LinkedIn commentary built around numbered lists, direct questions to the reader and practical statements about workplace behaviour.
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The form is close to Christian von Hammel-Bonten’s posts: state the position, give the reasons in order, then invite replies. Both keep each post to one subject and use the reader’s own experience as the next step.
Schröder writes about leadership, recruiting and motivation, not payments or commerce. Her evidence comes from conversations with candidates and her own team leadership, while von Hammel-Bonten’s posts draw on retailer discussions, named newsletters and payment rollout announcements.
Heininger writes about AI adoption in commercial operations and questions headline claims that do not match how teams actually work.
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His productivity post argues that companies have an enablement problem rather than an AI problem, and his AI-agent post treats an agent like a new hire that needs a job description, access, onboarding and review. That combination of implementation realism and a practical checklist is the closest topic match to Christian von Hammel-Bonten’s agentic-commerce readiness argument.
Heininger focuses on AI enablement inside companies and on onboarding AI agents as operational team members. Christian von Hammel-Bonten focuses on payments and e-commerce infrastructure, including standards, liability, consumer trust and instant-payment rails.
Place this creator with a professional payments, e-commerce, or fintech audience that reads short, opinionated commentary in German and English.
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The three posts show a clear topical fit: agentic commerce, checkout integration, instant payments, and European payment infrastructure.
The only measured audience figure is a LinkedIn follower count of about 4,914 as of 11 October 2026.
That number confirms a following large enough to matter for a niche B2B topic, but it does not show who those followers are.
Before committing to a campaign aimed at specific job titles, employers, or seniority, ask the creator for audience survey results or platform analytics on occupation and industry.
For a first test, a sponsored post or webinar on agentic commerce readiness reaches an audience already primed by the creator's own commentary; a request for detailed account-level targeting should wait until audience composition details are provided.
LinkedIn followers
4914
LinkedIn profile record in the research the research · 2026-10-11
Christian von Hammel-Bonten's posts here contain no partnership, sponsorship or paid-collaboration offer.
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The three posts read as commentary and analysis: one summarises a heise.de interview about agentic commerce, one quotes Benedict Evans' newsletter on OpenAI's Instant Checkout pullback and Shopify's limited store enablement, and one quotes the Greek IRIS Commerce rollout.
None carries a sponsor disclosure, rate card, media kit, branded-content label or business contact route for partnership enquiries.
The closest thing to a commercial relationship is a link to a heise.de article in the comments, an editorial citation rather than a disclosed sponsorship.
Ask whether they accept sponsorships and request their rates, media kit and partnership contact.
Strong fit. The company would be buying the argument this creator already makes in public, backed by named sources and a retailer-facing frame. The session has a ready-made structure rather than needing to be built from scratch.
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Brief
A payments or e-commerce technology company wants a realistic view of agentic commerce adoption timelines and blockers, and is considering a webinar or paid advisory session with Christian von Hammel-Bonten.
Reasons
The agentic commerce position is sharp and evidence-based. In the post tied to the heise.de interview, the industry promise that AI agents will handle up to 30% of online purchases by 2030 is set against what the creator describes as pilot attempts, whitepapers and a lot of LinkedIn posts, with almost no purchases completed end to end by an agent. That is the reality check a vendor's webinar needs, and it comes from the creator rather than the client.
The three barriers named in the same post map almost directly onto a session agenda: technology (many competing standards and solutions), law (contract formation, liability and consumer protection not designed for autonomous agents), and trust (consumers reluctant to hand over the purchase decision, especially at higher amounts). A readiness webinar can walk a client audience through those three workstreams.
The strategic question they put to retailers—whether to give control of the buyer to new front-ends—is a strong hook for a B2B session, framed as a real choice rather than a slogan. It invites debate, keeping a webinar from becoming a product demo.
There is a practical checklist: think now about data availability, data quality, checkout, identification and liability logic. A vendor can turn it into a participant worksheet and a concrete session takeaway.
The English-language post adds platform-side evidence a client can cite in a deck: OpenAI pulling back from Instant Checkout and Shopify saying only a dozen of the millions of stores on its platform were enabled so far. It also makes the longer argument that shopping inside search and discovery layers has been a tar pit for twenty years, standardising metadata across millions of merchants is hard, and merchants need substantial distribution before they give up control. The creator says this matches what they learned in discussions with e-commerce retailers, a firsthand claim rather than a reposted opinion.
There is also a usable optimistic counterweight. The post on Greece's IRIS Commerce rollout treats instant payments across P2P, eCommerce and point of sale as achievable now, arguing that the infrastructure already exists and does not need millions or billions. Pair it with the agentic reality check as “what can move fast now versus what cannot” for a constructive close.
Delivery suits a professional B2B audience: short, structured commentary in German and English, with each post built around a position, a named source or example, a few conditions or reasons, and an invitation to continue the discussion in comments or direct messages.
Tradeoffs
Audience composition is unverified. The only published figure is a LinkedIn follower count of about 4,914, with no job titles, employers or seniority breakdown. The client should confirm the list or promotion channel rather than assume the follower base is full of payments decision-makers.
No rate card, sponsorship policy or media kit appears in the posts, so commercial terms for a paid session are unknown. The client should ask directly whether they accept paid offers and what terms apply.
Only three posts are available, all text, with no publication dates or engagement data. The recurring themes are visible; a client seeking a long track record should ask for more of the archive before committing budget.
The creator's public stance is skeptical of adoption hype. A client seeking a forecast-led, upbeat agentic commerce narrative would be pushing against that published position; resolve the tension in the briefing, not on the day.
When to choose a specialist
Poor fit for a campaign that depends on the elements in the plan. The mismatch is not about quality; almost none of those elements appear in the published work.
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Brief
A consumer brand, such as a fashion or household goods retailer, wants a paid, video-led awareness campaign aimed at a broad consumer audience, with guaranteed reach or engagement and a standard sponsored-post package.
Reasons
The published work is analytical B2B commentary in text. All three posts are short written pieces about payment standards, liability, merchant metadata and instant payment rails. There is no consumer-facing lifestyle content, video or long-form transcript to support a video-led format.
The audience evidence does not support a consumer reach guarantee. The only measured figure is a LinkedIn follower count of about 4,914, with no geography, age, occupation or platform performance data. The client should ask for audience and performance data before setting a reach target.
No partnership formats are documented. The posts carry no sponsor disclosure, rate card, media kit or branded-content label; the closest thing to a commercial element is an editorial link to a heise.de article placed in the comments. The client should ask whether a standard sponsored-post package is available.
The subject matter is too narrow for a mass consumer pitch. Standards fragmentation, contract formation and liability for autonomous agents, merchant distribution trade-offs and instant payment infrastructure are relevant to payments, e-commerce and fintech professionals, not a general shopping audience.
The tone would work against a hype-driven consumer brief. The creator's published position is that agentic commerce currently produces more slides and posts than transactions, and that consumer trust is a genuine barrier. Promising consumers that agents will do their shopping would contradict that public argument.
Repair path
If the brand's real goal is reaching payments or e-commerce decision-makers rather than consumers, rewrite the brief along the lines of the good-fit case above: a written or live analytical contribution on agentic commerce readiness for practitioners, with the client's own product evidence carrying the promotional weight. If a mass-consumer video campaign is essential, rule this creator out and select a different candidate.
A worked campaign example
Angle
An “agentic commerce readiness” session that sells the client's product by helping the audience decide what to do now, not by predicting when agents will take over.
Audience
Payments and e-commerce leads at retailers, processors, schemes and platforms, particularly in German-speaking Europe and the UK, plus product and checkout owners on their teams.
Format
A 45 to 60 minute live session, webinar or paid advisory briefing, delivered in English or German depending on the audience, with a short written companion piece for registrants who cannot attend and a downloadable one-page worksheet as the practical takeaway.
Message
Agentic commerce is worth preparing for now and worth spending on carefully: the technology, legal and trust questions are real and answerable, but the businesses that move first will be those that get their own data, checkout and liability fundamentals in order rather than chase the next forecast.
Next step
Brief the creator on the client’s audience and product position, agree which language the session will run in, and confirm commercial terms directly. Ask for the heise.de article link and audience analytics before promotion, so the invitation list is built on more than follower count. Measure success by worksheet completion, questions in the live debate and qualified follow-ups—not attendance alone.
Proof points
The creator’s account of a heise.de interview: the gap between the 30% forecast and transaction reality, the three barrier groups, the control question and the technical checklist.
Quoted reporting that OpenAI was pulling back from Instant Checkout and Shopify had enabled only a dozen or so stores, alongside the broader argument for metadata standardisation and merchants needing distribution before giving up control. The creator backs that argument with conversations with retailers.
The Greek IRIS Commerce rollout, cited from the official announcement as evidence that instant payments across every channel are achievable now.
Structure
Open with where things stand. Industry forecasts put agents at up to 30% of online purchases by 2030, but the visible record is still pilots, whitepapers and very few end-to-end agent purchases. Show the platform-side evidence: even a large checkout product had enabled only about a dozen of millions of stores.
Break the blockers into three workstreams: technology, where competing standards and solutions fragment the field; law, where contract formation, liability and consumer protection are not written for autonomous agents; and trust, since consumers are unlikely to hand over the purchase decision quickly, especially for higher amounts.
Put the control question to the room: are you willing to hand control of the buyer to these new front-ends? Run a short poll or debate, then use the disagreement to frame the rest of the session.
Make the creator’s checklist the working part of the session: data availability, data quality, checkout, identification and liability logic. Give each participant the worksheet and ask them to mark what they can answer internally today and what they cannot.
Close with what can move quickly now, using the Greek IRIS Commerce rollout as a counterexample: a unified instant payments solution across P2P, eCommerce and point of sale, built on existing infrastructure rather than a multi-billion-euro programme. Position the client’s own capability as one of the building blocks for that near-term work.
Consider Moritz if the campaign’s main need is practical AI implementation: helping companies assess efficiency claims, train teams to use AI or prepare an AI agent for a bounded business task.
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In one post, Moritz argues that reported productivity gains depend on employee skills, workflows and knowing when to check AI output.
In another, they compare introducing an agent to hiring a new employee, with a defined role, system access, staged permissions, testing on real cases, feedback and cost measurement.
Those examples offer a more hands-on implementation angle than Christian von Hammel-Bonten’s focus on agentic commerce adoption barriers, payments and merchant control.
This is a better fit for a campaign on AI enablement or agent deployment than a like-for-like substitute for Christian’s payments and e-commerce perspective.
For a session on when agentic commerce will scale, Christian’s work is more directly relevant; for a session on preparing and evaluating an AI agent inside a company, Moritz’s examples are more practical.
Ask Moritz about their expertise in commerce infrastructure, payment standards, liability for agent-led purchases and retailer checkout decisions.
Christian von Hammel-Bonten's LinkedIn posts include one on agentic commerce tied to an interview with Markus Montz for heise.de, one quoting Benedict Evans's newsletter on OpenAI's Instant Checkout and Shopify's merchant enablement, and one on Greece's IRIS Commerce rollout.
Two are in German and one is in English.
The posts carry no publication dates, so the ideas and priorities described on this page come from these three pieces, not from dated posts, and there are no further posts, video or long-form transcripts here.
The LinkedIn account shows about 4,914 followers, with no audience demographics or engagement data, and no media kit, rate card or partnership terms are published in the posts here.
The sections on what they are known for, their ideas, brand relationships, comparisons and campaign fit rest on the same three posts, so treat this as a starting point taken from a small sample rather than a full account of their work.
