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AI agents by industry: regulated sectors, each with its own line.

The AI Act lists some uses as high-risk sector by sector, and GDPR treats some data as special. We start where an agent helps most and the risk is easiest to manage, and we know where the line is.

See four sample runs

Industries we serve

Banks and financial services

KYC files, AML alert preparation and customer questions, kept clear of credit scoring and contracted on DORA’s terms.

AI Act Annex III 5(b)AI Act Art. 6(3), 6(4)

Insurance

Claims intake, policy answers and complaint files, with a handler deciding every payout. Life and health pricing stays off-limits.

AI Act Annex III 5(c)AI Act Art. 27

Consumer lending

Loan support, complaints, documents and payment plans for lenders and lending platforms. No agent approves, prices or scores a loan.

CCD2 Art. 18(3)CCD2 Art. 18(9)

Health and life sciences

Referral intake, letters for sign-off and regulatory drafting, on the administrative side of the line. No diagnosis, no triage.

GDPR Art. 9GDPR Art. 35

Legal and professional services

Contract review against your playbook, due diligence and intake, from your documents. Lawyers stay the ones who advise.

AI Act Annex III 8GDPR Art. 28

Public sector

Citizen questions, casework preparation and tender checks, with the AI Act’s public-body duties built in. No benefit decisions.

AI Act Annex III 5(a)AI Act Art. 27

Industry and manufacturing

Quality records, supplier documents and technical files, drafted for an engineer to sign. Never a safety function.

NIS2 Annex IIGDPR Art. 5(1)(c)

Also: energy and utilities, logistics, telecoms and other companies with regulated processes. The method is the same; the scoping call finds where the Act applies. For a first view on your own, try the AI Act risk-class screener.

Use cases, as runs

Four jobs, step by step, with the person inside the flow.

Each run shows what the agent does, what it flags, where it stops for a person, and what stays on record, with the article each step answers to.

Sample data · scripted

Insurance claim intake

A home contents claim arrives by email. The agent prepares it; a claims handler decides the money.

Risk class
Not listed in Annex III, reasons kept
Who decides
A claims handler
  1. Claim receivedEmail from a policyholder with 3 attachments: photos, a receipt, a police report.
    Done
  2. Only the claim file readThe agent reads this email, its attachments and the policy wording; nothing else in the case system.GDPR Art. 5(1)(c)
    Done
  3. Checked against the policyTheft from the home is covered; €150 excess. Source: policy wording, section 4.2.
    Done
  4. Missing receiptNo receipt for the laptop. A request to the policyholder is drafted, opening with a note that an AI wrote it.AI Act Art. 50
    Flagged
  5. Payout proposed€1,240 after the excess, once the receipt arrives, with the reasoning and its sources.
    Drafted
  6. Waiting for a claims handlerNothing is paid or refused until a named person decides.Approve €1,240ChangeRefuseAI Act Art. 14GDPR Art. 22
    Waiting for a person
  7. Run recordedInput, sources, tools, model, cost (€0.31, sample) and who decided.AI Act Art. 12
    On record

KYC onboarding check

A new business customer’s file arrives. The agent checks it against the bank’s checklist; an analyst makes the onboarding decision.

Risk class
Not credit scoring, so not Annex III 5(b); reasons kept
Who decides
A compliance analyst
  1. File receivedID document, proof of address and a company register extract.
    Done
  2. Only the fields the checklist needsName, date of birth, address, register number. The rest of the ID image is not kept in the prompt.GDPR Art. 5(1)(c)
    Done
  3. Checked against the checklist6 of 7 items match, each with the page it was read from.
    Done
  4. Gap foundThe proof of address is five months old; the checklist asks for three.
    Flagged
  5. Waiting for a compliance analystThe agent never accepts or refuses a customer.Accept the fileAsk the customerRefuseAI Act Art. 14GDPR Art. 22
    Waiting for a person
  6. Run recordedEach check with its source page, the flag, and who decided.AI Act Art. 12
    On record

Patient letter for sign-off

After an outpatient visit, the agent drafts the follow-up letter in plain words from the clinic’s note and templates. A doctor signs it or not.

Risk class
Administrative: no diagnosis, no treatment advice
Who decides
The treating doctor
  1. Request receivedA follow-up letter for an outpatient visit, in German.
    Done
  2. Only what the letter needsThe visit note’s summary and next appointment; nothing from the wider record.GDPR Art. 5(1)(c)GDPR Art. 35
    Done
  3. Letter draftedFrom the clinic’s approved template, each sentence traced to the note.
    Drafted
  4. One sentence held backThe note mentions a possible cause. The draft leaves it out and marks it for the doctor.
    Flagged
  5. Waiting for the doctorNo letter leaves the clinic unsigned.Sign and sendEditDiscardAI Act Art. 14
    Waiting for a person
  6. Run recordedThe draft, the doctor’s changes and the signed version.AI Act Art. 12
    On record

Contract clause review

A supplier sends its standard agreement. The agent compares every clause with the firm’s playbook; a lawyer accepts or rejects each finding.

Risk class
Not listed in Annex III, reasons kept
Who decides
The responsible lawyer
  1. Agreement receivedA 24-page supplier agreement, as a PDF.
    Done
  2. Compared with the playbook38 clauses against 12 playbook positions.
    Done
  3. 3 deviations foundLiability cap above the playbook; no processor terms for personal data; a 24-month auto-renewal. Each with its source passage.GDPR Art. 28
    Flagged
  4. Fallback wording proposedFrom the playbook only, one proposal per deviation.
    Drafted
  5. Waiting for the lawyerEvery finding is accepted or rejected by a person; the agent gives no advice.AcceptRejectRewriteAI Act Art. 14
    Waiting for a person
  6. Run recordedFindings, sources, the lawyer’s decision on each, and the model used.AI Act Art. 12
    On record

Scripted examples on sample data, not client work. Every name, amount and document above is made up. The steps are how we design these agents on the platform: the agent prepares, a named person decides, and the run is kept.

Bring one process. Leave with a risk class, a pass bar and a plan.

A 45-minute scoping call with the people who would build it. You get a first view of the AI Act risk class, the controls it needs, and whether an agent is the right tool at all.

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