Banks, insurers, brokers and fintech teams run on documents, deadlines and evidence. Every application, claim and disclosure has to be checked, recorded and defended to an auditor months later. Custom software and AI can read those documents, move the data into your core systems, and leave a clean trail behind every decision your people make.
Identity documents, company registers, ownership structures and sanctions lists are still checked by hand. Onboarding stretches across days, analysts repeat the same lookups, and the evidence behind each decision ends up scattered across mailboxes and shared drives.
02
Claims buried in paperwork
A single claim arrives as photos, PDF reports, invoices, police statements and long email threads. Adjusters spend more time extracting figures and chasing missing documents than they spend assessing the actual loss or speaking to the customer.
03
Regulatory reporting by spreadsheet
Reports for regulators and auditors are assembled from system exports, macros and tribal knowledge. When a definition changes or a figure is questioned, nobody can reconstruct how the number was produced without rebuilding the entire chain by hand.
04
Systems that don't talk to each other
Policy administration, CRM, accounting and the broker portal each hold part of the truth. Staff rekey the same client details between them, and reconciliation work grows every time a new product, partner or sales channel is added.
What can be built
What software and AI can take over here
02/02
01
KYC and AML document processing
AI extraction that reads identity documents, company extracts, financial statements and proof of address, matches them against registers and screening lists, and escalates only the cases that genuinely need a human reviewer.
120–160 hhours saved / month, typically
02
Claims intake and triage
Automated capture of claim documents and photos, classification by type and severity, extraction of amounts, dates and policy numbers, and routing to the right adjuster with a pre-filled case file.
100–140 hhours saved / month, typically
03
Underwriting and risk assessment tools
Custom scoring and decision support that combines your historical data with external sources, applies your underwriting rules transparently, and records every input behind a quote, limit or referral.
50–70 hhours saved / month, typically
04
Regulatory reporting pipelines
Repeatable data pipelines that pull from core systems, apply validation rules and produce regulator-ready outputs with versioning, so any figure can be traced back to the source records it came from.
40–50 hhours saved / month, typically
05
Internal assistants for advisors
AI assistants grounded in your policy wordings, product rules and internal guidance, so advisors and support staff get answers with citations instead of searching through PDF archives and intranet pages.
60–80 hhours saved / month, typically
Savings potential
What it saves, in numbers
KYC check on a new client
Manual today45 min
With the solution6 min
85%faster
Opening a claim from email attachments
Manual today35 min
With the solution5 min
85%faster
Monthly regulatory report
Manual today16 h
With the solution2 h
90%faster
These are model estimates of what this kind of automation can do — not measured results from our own projects. We recalculate them on your real volumes and systems before anyone commits to anything.
Contact
Tell us what's slowing you down.
Tell us about your project, the bottleneck in your processes, or the legacy system you've outgrown. We're available 24/7 and we reply to messages promptly — with concrete next steps, no obligation and no sales theater.