Automwrite vs Zeplyn (2026)
Both vendors are forthcoming, and to different people, which is the whole comparison. Automwrite is transparent to the buyer. It publishes a dated page that names every third party model provider, the processing activity each performs and the country where that processing happens, a fuller account than vendors usually give, and that 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, so it says little about regulation even though it documents recourse in part.
- 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. Zeplyn documents its model chain in part.
- 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. Zeplyn names no supervisory instrument 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. The category rarely builds in either, and Automwrite says little about recourse.
- 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. Automwrite says little about its integrations.
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
Select any grade to read the note behind it.
| 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. A meeting bot joins video calls or a phone application records in person meetings, and transcription and extraction populate a client profile. Uploaded documents and handwritten notes are parsed and checked for missing data and conflicts, and full suitability reports are drafted in the firm's own template and voice for electronic signature. According to the AI FinTech Index, it documents in detail how central AI is to the product and the models and providers it is built on. A dated public transparency page names every third party model provider, the processing activity each performs and the country in which that processing occurs. It says little about integrations, security certifications or what happens when it is wrong. Who it serves, bias and fairness, and accuracy and validation are also thinly documented.
Source: AI FinTech Index, 2026
Zeplyn
Zeplyn automates the meeting lifecycle for financial advisers and wealth firms. Before a meeting it assembles smart agendas from prior conversations, customer records, custodial data and open tasks. During the meeting it captures structured notes and action items without recording the audio, then drafts follow ups and syncs everything to the systems of record afterwards. An agent layer runs specialized 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. According to the AI FinTech Index, it documents in detail how central AI is to the product, its privacy terms, how customer data is kept apart and used, and its integrations. On what happens when it is wrong, it relies on a consent mechanism built into the product and audio discarded after processing. It says little about who it serves, its regulators, bias and fairness or accuracy and validation.
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 toward. Automwrite records, drafts full suitability reports in your template, and publishes a full account of its model providers. Zeplyn captures structured notes without recording audio and builds client consent into the product. 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. 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 involves the client in what happens to their conversation?
Zeplyn, and it is worth weighting, since the category rarely does this. 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. Automwrite 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. Zeplyn 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. 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.
Where does each publish the most, and the least?
Automwrite publishes most on how central AI is to the product and the models and providers it is built on. It says little about integrations, security certifications, bias and fairness, accuracy or liability. Zeplyn publishes most on its privacy terms, how customer data is kept apart and used, and its integrations. It says little about who it serves, its regulators, bias and fairness or accuracy and validation. 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.
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 forthcoming, and 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 lets a compliance officer document the chain. 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, a gap that matters for a product feeding regulated client files. Both say little about bias and fairness, and neither publishes an extraction accuracy figure despite both depending on one.