Finance
Systems where correctness and auditability aren't optional.
What we solve in Finance
- Reconciliation delays
- manual reporting
- fraud review backlog
Where the manual work actually is
Month-end close involves someone manually matching transactions across bank feeds, ledgers, and spreadsheets that were never designed to talk to each other.
Reporting usually means pulling numbers from four systems into one spreadsheet by hand, on a schedule that repeats every single month.
Where automation and AI genuinely help
- First-pass reconciliation, flagging only the transactions that don't match instead of requiring a full manual review
- Drafting standard reports from source data, with a controller reviewing the output before it goes anywhere
- Triaging fraud or anomaly alerts by risk, so a human reviewer starts with the ones that matter
Where it stays human
Anything that moves money, closes a book, or clears a flagged transaction requires sign-off from a person with authority to approve it. No system executes a financial decision on its own.
Related services
AI Agents
AI agents that orchestrate multi-step workflows, use tools and APIs, and involve humans when decisions require oversight.
Cloud and DevOps
Cloud infrastructure sized for the traffic you have, with deployment pipelines and monitoring that make shipping software routine.