How do we prove an automated process to an auditor?

Every run logs its inputs, the rules applied, the resulting entries, and any human approval. That is generally a stronger audit trail than the manual equivalent, where the reasoning existed only in someone's working file.

What happens to items that will not reconcile?

They go to an exception queue with the candidate matches and the reason for the mismatch shown. Your team resolves genuine exceptions rather than re-checking the ninety percent that matched cleanly.

Do we have to replace the tools we already use?

No. Automation works best on top of the stack you have. We connect to your existing CRM, inbox, spreadsheets, and billing system through their APIs rather than asking you to migrate anything.

What happens when an automation fails?

It retries with backoff, and if it still cannot complete, the job lands in a queue and a human gets alerted with the exact input that failed. Nothing disappears silently — that is the single most important design rule.

Workflow Automation · Financial Services

Workflow Automation for Financial Services

Month end should not require heroics.

Financial operations run on repeating deadlines assembled by hand — statements to collect, transactions to categorise, reconciliations to complete, packs to build. Automation runs the collection and matching continuously, so period close is a review rather than a scramble.

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Reclaimed weekly: HoursReclaimed weekly
Transcription errors: ZeroTranscription errors
Run visibility: 100%Run visibility

Typical stack

n8n
Make
Python
Temporal
REST & Webhooks

Use cases

What this handles for financial services firms

Collect and categorise transactions across bank feeds, cards, and platforms
Run reconciliation with automatic matching and an exception queue for the rest
Assemble recurring client and management reporting packs on schedule
Chase outstanding client documents automatically until they arrive

Continuous reconciliation and reporting packs that assemble themselves, with staff reviewing exceptions only.

Context

The financial services problem underneath it

Financial services work is document-heavy, deadline-driven, and unforgiving of errors — which is exactly the profile automation suits, provided everything it does is logged and reversible. We build systems where every extraction, calculation, and posting leaves an inspectable trail.

Statements, invoices, and receipts arrive in every format and get keyed by hand
Reconciliation is monotonous, high-volume, and expensive when it goes wrong
Client onboarding and KYC involve chasing documents for weeks
Reporting packs are assembled manually against a hard deadline every period

What we build

Inside a workflow automation

We watch the process before we automate it. That means sitting with whoever runs it today, recording the actual clicks, and finding the branches nobody documented — the exceptions, the manual overrides, the 'except when it's this customer' rules. Then we build it, including the failure paths, because an automation that silently breaks is worse than the manual process it replaced.

Event-driven pipelines triggered by email, webhook, form, schedule, or file drop
Two-way sync between CRM, billing, support, spreadsheets, and internal databases
Conditional branching that handles the exceptions your team currently handles manually
Retry logic, dead-letter queues, and alerting so failures surface immediately
Document and report generation with data pulled live from source systems
Audit logs recording every run, input, and outcome for compliance review

Deliverables

What ships with the engagement

Process map of the current workflow with time and error cost per step
Production automation with staging environment for safe changes
Monitoring dashboard showing runs, failures, and processing volume
Alerting into Slack or email when a run needs human attention
Handover documentation so your team can adjust rules without us

FAQ