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Softblues
Softblues
AI Automation · By industry

Financial services process automation

Financial services process automation uses AI agents to run the repetitive review and checking work a firm does every month: reading the files, applying the rules, and handing a person the cases that need a decision. Softblues builds these systems in production, with a human kept in the loop for sign-off, designed to run in your own tenant.

A compliance officer freed from checking every file by hand, with an AI pipeline reading the files and flagging only the exceptions for sign-off, with a full audit trail.
Anthropic Partner Network member50+ AI ProjectsGoogle Cloud PartnerTop-5 UK AI Firm

The cost is in the checking

Every month a team reads the same files, applies the same rules and records the same evidence by hand. It is slow, it is expensive, and under load the quality drifts. The work has to be done, and done consistently, which is exactly what makes it worth automating with a person kept on the decisions that matter.

What can we automate?

Repetitive review and checking work where the rules are known, with a person on the exceptions.

File and suitability review

Agents read each client file against your checklist and policy, flag the cases that fall outside it, and pass them to a reviewer with the reasons attached.

  • Checked against your own playbook and policy
  • Every file reviewed, not a sample
  • Exceptions flagged with the reasons attached

KYC and AML checks

Identity, source-of-funds and screening evidence read and cross-checked against your rules, ready for a human decision on anything that does not line up.

  • Identity and source-of-funds cross-checked
  • Screening evidence verified against your rules
  • Inconsistent or missing items escalated

Document checking

Statements, contracts, application forms and supporting evidence read, verified against what they should contain, and turned into a structured result your team can act on.

  • Statements, contracts and forms read
  • Verified against what they should contain
  • Returned as a structured result

Reconciliations

Records matched across systems, breaks identified and categorised, and the exceptions surfaced for review instead of working line by line.

  • Records matched across systems
  • Breaks identified and categorised
  • Only the exceptions surfaced for review

How we build a compliance automation

Three steps, mapped to a regulated review process, with your team on sign-off throughout.

1
Weeks 1-2

Process Discovery

A short, paid engagement that maps your review process file by file, with your compliance team in the room.

  • We map the review end to end
  • We agree the rules and the sign-off points
  • You get a fixed-price plan with the payback line
See Process Discovery
2
Your own tenant

The build

Built to run in your own tenant, around the files and systems you already use, not a new platform.

  • Runs in your own tenant, EU where required
  • A reviewer signs off every exception
  • Every check logged for the audit trail
3
Production in 90 days

Run it

It goes live with the monitoring and the consistent record an auditor expects.

  • Evals and monitoring in place
  • A consistent record, file by file
  • Money back if the proof of concept fails

Where this has been designed

Monthly compliance file review case studyDesigned pre-discovery

Monthly compliance file review

A four-stage review with human sign-off for a financial-advice firm (anonymised), designed to run in the client's own EU tenant. Proposed build, scoped pre-discovery.

4 stages
Review with human sign-off
EU tenant
Data residency
Financial adviceComplianceAudit trail
View case study

What does it cost?

Fixed price, quoted after a paid Process Discovery, with a payback line so you know when the investment returns. As a rule of thumb, a £20,000 build that saves £4,000 a month pays back in about five months.

Estimate your saving
Key facts

Financial services automation: at a glance

What
AI agents that run repetitive financial-services review and checking work in production, with human sign-off.
For
Compliance, operations and risk leaders at advisory, wealth, insurance and accountancy firms.
Workflows
File and suitability review, KYC and AML, document checking, reconciliations.
How
Paid Process Discovery, fixed-price build in your own tenant with human sign-off, then evals, monitoring and an audit trail.
Delivery
Production in 90 days, fixed price, money back if the proof of concept fails.
Data residency
Designed to run in your own tenant, including an EU tenant where required.
Proof
Softblues runs its own company on six Claude agents; 50+ AI projects delivered.
Based in
London-based, working with mid-market firms.

Common questions about financial services automation

What financial-services processes can you automate?

Repetitive review and checking work where the rules are known: file and suitability review, KYC and AML, document checking and reconciliations. We automate the reading and the rule-applying, and keep a person on the cases that need a decision.

Where does our data sit, and can it stay in the EU?

The system is designed to run in your own tenant, including an EU tenant where data residency requires it. Your files stay in your environment; we build around it rather than moving your data out.

How does this hold up to a regulator or an auditor?

Every check is logged: what was reviewed, which rule applied, what was flagged and who signed it off. That audit trail is the point. It supports obligations like FCA Consumer Duty and SMCR accountability by recording the review consistently, file by file, rather than on a sample.

Will this replace our compliance team?

No. It removes the repetitive reading and checking and keeps your people on judgement and sign-off. A human stays in the loop on every exception, and accountability stays with your firm.

How accurate is it, and what if it gets a file wrong?

The agent prepares the decision; a person makes it. Exceptions are escalated rather than auto-approved, monitoring catches drift, and we tune the rules during discovery and after go-live. We do not present it as a system that decides on its own.

How long until it is live?

Production in 90 days is the standard. Discovery is short, typically one to two weeks; the build timeline is fixed in the discovery plan.

Scope your compliance automation

Start with a paid Process Discovery. We map the real review process and come back with a fixed-price build, a payback line, and a human kept on sign-off.