Automwrite vs Zeplyn (2026)
Both of these vendors are unusually transparent and they are transparent to different people, which is the whole comparison. Automwrite is transparent to the buyer, publishing a dated page that names every third party model provider, the processing activity each performs and the country where that processing happens, which is a fuller account than all but a handful of the eighteen vendors this index grades A on that axis, and gives a compliance officer something to document. Zeplyn is transparent to the client, building a consent mechanism into the product so the person whose conversation is being processed is brought into it, and discarding audio after processing so less exists to go wrong. Neither does both, and the gap each leaves is the one the other closes. Automwrite's retail client receives a suitability report explaining why a recommendation suits them, is not told a model drafted it, and has no route to establish how the reasoning was produced. Zeplyn names no supervisory instrument at all and describes nothing about how its generated notes enter a supervised firm's records or satisfy retention rules, which is why it grades C on regulatory status while holding B on recourse.
- You want the full model chain named. Automwrite publishes a dated transparency page tabulating every third party model provider, the specific processing activity each performs and the country in which that processing occurs, covering reasoning, content generation, transcription and meeting capture. It holds A on model supply chain disclosure where Zeplyn grades B.
- The regulated document is the product. Automwrite writes directly against the relevant conduct sourcebook provision, the consumer duty regime and the senior managers regime, including published commentary on where accountability sits when an automated output is wrong, and drafts full suitability reports in the firm's template and voice for electronic signature. It holds B on regulatory status where Zeplyn grades C with no supervisory instrument named at all.
- Paper and handwriting are in your process. Uploaded documents and handwritten notes are parsed and checked for missing data and conflicts, with compliance gated checks running before a report is written.
- The client should be asked. Zeplyn builds a consent mechanism into the product, so the client is brought into the process rather than being an unwitting subject, and audio is discarded after processing. Those two mechanisms are why it holds B on liability and recourse where Automwrite grades C, and they are rare anywhere in this index.
- You do not want the meeting recorded. Zeplyn captures structured notes and action items during the meeting without recording the audio, which is the opposite architecture to Automwrite's meeting bot and phone application.
- The output has to land in the systems of record. Zeplyn assembles agendas from prior conversations, customer records, custodial data and open tasks, then drafts follow ups and syncs everything back, with an agent layer running across meeting notes, customer records, email and documents. It holds A on core systems and integration depth where Automwrite grades C.
This comparison is published by AI FinTech Index, an independent research platform that publishes independent ratings of AI vendors for financial services. Automwrite and Zeplyn are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI FinTech Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded
Plain facts
| Automwrite | Zeplyn | |
|---|---|---|
| Primary category | Wealth & Advisory AI | Wealth & Advisory AI |
| Founded | 2023 | 2023 |
| Headquarters | United Kingdom | New York, New York, United States |
| Website | automwrite.co.uk | www.zeplyn.ai |
Side by Side
| Axis | A Automwrite |
Z Zeplyn |
|---|---|---|
| AI Centrality | ||
| Autonomy and Oversight Model | ||
| Model Risk Management and Transparency | ||
| Operational and Outcome Evidence | ||
| AI Safety and Data Stewardship | ||
| GLBA and Data Privacy Posture | ||
| Security Certifications and Trust Center | ||
| Regulatory Status and Licensure | ||
| AI Governance and Bias Disclosure | ||
| AI Liability and Recourse | ||
| Model Supply Chain Disclosure | ||
| Core Systems and Integration Depth | ||
| Deployment Model and Data Residency | ||
| Commercial Transparency | ||
| Institution and Segment Coverage |
The short version of each
Automwrite
Automwrite is a United Kingdom platform that drafts regulated advice documentation for financial advice firms, with a meeting bot joining video calls or a phone application recording in person meetings, transcription and extraction populating a client profile, uploaded documents and handwritten notes parsed and checked for missing data and conflicts, and full suitability reports drafted in the firm's own template and voice for electronic signature. The AI FinTech Index grades it A on AI centrality and A on model supply chain disclosure, with B on operational evidence, commercial transparency, GLBA posture, AI safety, autonomy and oversight, regulatory status and deployment residency, documenting five of the nine regulatory axes the index tracks against an index average of 2.93 across 489 vendors. Eighteen of those 489 vendors reach A on model supply chain disclosure and this is among the fuller accounts of them: a dated public transparency page names every third party model provider, the processing activity each performs and the country in which that processing occurs, published by one of the smallest vendors on the roster. Institution coverage, core systems integration, model risk management, security certifications, governance and bias disclosure and liability and recourse are graded C.
Source: AI FinTech Index, 2026
Zeplyn
Zeplyn automates the meeting lifecycle for financial advisers and wealth firms, assembling smart agendas from prior conversations, customer records, custodial data and open tasks before a meeting, capturing structured notes and action items during it without recording the audio, then drafting follow ups and syncing everything to the systems of record afterwards. An agent layer runs specialised agents across a firm's meeting notes, customer records, email and documents, and its models are custom built for wealth management rather than general purpose. The AI FinTech Index grades it A on AI centrality, GLBA and data privacy posture, AI safety and data stewardship and core systems and integration depth, with B on operational evidence, commercial transparency, autonomy and oversight, deployment residency, security certifications, AI liability and recourse and model supply chain disclosure, documenting six of the nine regulatory axes the index tracks against an index average of 2.93 across 489 vendors. Its liability grade rests on a consent mechanism built into the product and audio discarded after processing. Institution coverage, regulatory status, governance and bias disclosure and model risk management are graded C.
Source: AI FinTech Index, 2026
Common questions
Is Automwrite better than Zeplyn?
They differ on whether the meeting is recorded and on who each vendor is transparent towards. Automwrite records, drafts full suitability reports in your template, and publishes the fullest account of its model providers found in this index. Zeplyn captures structured notes without recording audio and builds client consent into the product. The AI FinTech Index grades Zeplyn at six of the nine regulatory axes and Automwrite at five. If the deliverable is the regulated report and you want the chain documented, Automwrite. If your firm's position is that audio should not persist and the client should be asked, Zeplyn.
Which one involves the client in what happens to their conversation?
Zeplyn, and it is unusual enough in this index to be worth weighting. A consent mechanism is built into the product, so the client is brought into the process rather than being an unwitting subject, and audio is discarded after processing so there is less to expose if anything goes wrong. Those two together earn B on liability and recourse. Automwrite grades C: it argues, correctly, that accountability rests with the regulated adviser under the senior managers regime, which resolves the vendor's exposure rather than the client's, and the client receives a report without being told a model drafted it. Neither vendor offers an accuracy guarantee or a route for a client to correct what was recorded. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 23, 2026. No vendor pays for placement.
Which one names the rules its output has to satisfy?
Automwrite, clearly. It writes against the relevant conduct sourcebook provision, the consumer duty regime and the senior managers regime, and publishes commentary on where accountability sits when an automated output is wrong, which is substantive grounding rather than a compliance badge, earning B. Zeplyn grades C: it positions accurate note capture as fulfilling compliance requirements, which is a benefit claim rather than a mapped obligation, and names no supervisory instrument. For a product whose output enters a supervised adviser's client files, nothing describes how generated notes and drafted communications satisfy books and records or retention rules. Ask Zeplyn that directly. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 23, 2026. No vendor pays for placement.
How does the AI FinTech Index grade Automwrite and Zeplyn?
Both are graded on the same fifteen capability axes, with every grade traceable to the public artifact it was read from and the date it was verified, and the index publishes no composite score. Zeplyn documents six of the nine regulatory axes at A or B and Automwrite five, against an index average of 2.93 across 489 vendors. Automwrite holds A on AI centrality and model supply chain disclosure, with B on operational evidence, commercial transparency, GLBA posture, AI safety, autonomy, regulatory status and deployment residency, and C on institution coverage, core systems integration, model risk, security certifications, governance and bias and liability. Zeplyn holds A on AI centrality, GLBA posture, AI safety and core systems integration, with B on operational evidence, commercial transparency, autonomy, deployment residency, security certifications, liability and recourse and supply chain, and C on institution coverage, regulatory status, governance and bias and model risk.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Compliance, Surveillance & RegTech page.
Both vendors are unusually forthcoming and they are forthcoming to different people, which is the substance of this comparison. Automwrite's disclosure is addressed to the buyer: a dated page naming every model provider, the activity each performs and the country of processing, which is a fuller account than all but a handful of the eighteen vendors this index grades A on that axis, and lets a compliance officer document the chain.
Two qualifications keep it honest, since no model version identifier is published, so a firm cannot tie a specific report to a specific model build, and the commitment that providers may not train on customer data defers to each provider's own policies rather than stating a contractual bar.
Zeplyn's disclosure is addressed to the client: a consent mechanism built into the product brings the person whose conversation is being processed into the process, and audio discarded after processing limits what any error or breach can expose. Neither vendor does both, and the gap each leaves is the one the other fills.
Automwrite's retail client receives a suitability report explaining why a recommendation suits them, is not told a model drafted it, and has no route to establish how the reasoning was produced if the advice is later disputed. Zeplyn names no supervisory instrument, has passed no admission process, and describes nothing about how generated notes and drafted client communications enter a firm's supervised records or satisfy retention rules, which is why it grades C on regulatory status for a product feeding regulated client files. Both grade C on AI governance and bias disclosure and C on model risk management, so neither publishes an extraction accuracy figure despite both depending on one.