Pseudonymising SYSC 6 Committee Minutes for Assurance – UK GDPR-compliant anonymisation per FCA SYSC 6

A compliance committee minute produced under FCA SYSC 6 is the governance record evidencing senior management oversight of financial-crime risk — capturing named attendees, escalation decisions, and remediation commitments. The FCA recorded 30 s.166 reviews in 2023; the FCA fined NatWest £264.8 million in 2021 for control failures. anonym.legal pseudonymises named individuals so external assurance providers can assess governance quality without processing committee members' personal data.

When this applies

This task applies when compliance committee minutes are shared with external assurance providers, external legal counsel, or skilled-person reviewers who need to assess the quality of compliance governance and escalation under FCA SYSC 6 and the SM&CR but have no legitimate need to know the identities of the named committee members.

  1. Upload the compliance committee minutes (PDF or DOCX).
  2. The engine identifies named committee members, named presenters, and any third-party individuals referenced in agenda items.
  3. Each natural person is pseudonymised consistently; resolution text, action items, escalation decisions, and risk-indicator discussions are preserved.
  4. Any customer-case references embedded in committee papers are pseudonymised in the same pass, consistent with the customer's pseudonym in any associated case file.
  5. A reversible mapping table is produced with UK/EU data residency.
  6. Release the pseudonymised minutes for external review; originals are retained in the firm's governance record.

What you provide

  • Compliance committee minutes document
  • Any board papers or management information packs tabled at the committee and naming individuals

Limitations & cautions

  • The originals in the firm's governance record must retain the real names of attending members — the pseudonymised version is for external review purposes only. UK GDPR maximum fines reach up to £17.5 million or 4 percent of annual global turnover under DPA 2018 s.157.
  • Minutes that reference named customers in case-discussion agenda items must have those customer references pseudonymised consistently with any associated case files.
  • The tool does not assess the adequacy of the compliance governance framework or the quality of escalation decisions under FCA SYSC 6. The FCA's 2023 Financial Crime Annual Report recorded 30 firms subject to s.166 reviews in the year.

FAQ

Does pseudonymising committee member names affect the validity of governance records?

Only the pseudonymised review copy is affected. The firm's retained minute records must continue to bear the real names of attending members for governance and regulatory purposes.

Can I pseudonymise minutes that discuss a named customer's case?

Yes. Named customers referenced in case-discussion items are pseudonymised consistently with the pseudonym applied in any associated customer file, maintaining cross-document coherence.

Are action owners named in minutes pseudonymised?

Yes. Named action owners are pseudonymised; the action description, deadline, and completion status are preserved in clear text.

Financial Services Compliance

About this page

We update this page when our platform or the law changes.

Read our founder note for how we work.

Each change shows up in the timestamp at the top.

We follow these rules

  • GDPR (EU 2016/679).
  • ISO/IEC 27001:2022.
  • NIS2 (EU 2022/2555).
  • HIPAA safe harbor under 45 CFR § 164.514(b)(2).

Our promise

We do not sell your data.

We do not train models on your text.

We store your files in Germany.

You can delete your account at any time.

You own your work.

Where we run

Our company HQ is in Saarbrücken, Germany. Our servers run in Hetzner's Falkenstein datacenter.

Hetzner holds ISO 27001 certification.

All data stays in the EU.

Backups run every day.

Need help?

Email support@anonym.legal.

We reply within one business day.

How we test

We run a full check suite on every release.

Each surface gets its own sweep script and report.

Human reviewers spot-check the output each week.

We track recall and precision on a labelled set.

Bad runs block the deploy.

What we never do

  • We never sell your information to third parties.
  • We never train models on what you upload.
  • We never keep your work after you delete it.
  • We never share keys with any outside firm.
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Plans in plain words

We sell credits, not seats.

One credit covers one short job.

Long jobs use a few credits each.

You can top up at any time.

Unused credits roll over each month.

Read the plans page for current rates.

Who built this

A small team of engineers and lawyers built this.

We ship from Europe and work in the open.

Our founder note spells out why we started.

Where to start

How the parts fit

A browser add-on cleans text inside Chrome.

A Word plug-in handles drafts in Office.

A small desktop tool works on whole folders.

An agent protocol link feeds large models safely.

All four share one core engine and one rule set.

Words from our team

We started this work after a lunch about cookies.

One friend kept getting odd ads on her phone.

We asked why a court file leaked through a draft.

We sketched the first build on a napkin that week.

By month three we had a tiny demo for a friend.

She used it on her first case the next day.

Common questions we hear

Can the tool read scanned PDFs? Yes, with OCR.

Does it work on long files? Yes, in small chunks.

Can I roll my own rule set? Yes, save it as a preset.

Does it run offline? The desktop build runs offline.

Do you keep my files? No, the cloud build wipes after each run.

Will it learn from my work? No, we never train on inputs.

A short tour of the workflow

Upload a file or paste a snippet of prose.

Pick the entities you want gone from the draft.

Choose a method: replace, mask, hash, encrypt, or redact.

Press run and watch the side panel show each hit.

Skim the result and tweak any rule that misfired.

Save the cleaned file or send it to a teammate.