Close faster, chase less, catch more.
Month-end is a fire drill, AR chasing never happens on time, and nobody has read the expense policy since 2019.
80-95%
of invoice lines extracted automatically
10-20 days
typical DSO improvement
30-50%
faster month-end close
8
documented automations for this sector
Where finance teams lose hours, and what replaces it.
Each one is a system we have specified and built before.
Accounts payable invoice processing
- The manual process today
- Invoices arrive by email as PDFs and are keyed in line by line.
- What we build
- Automatic extraction, PO and receipt matching, coding suggestions, duplicate detection and approval routing by amount and department.
- Typical impact
- Most invoices flow straight through; humans handle exceptions only.
Collections and AR chasing agent
- The manual process today
- Chasing overdue invoices is nobody's favourite job, so it slips.
- What we build
- Escalating, relationship-aware chase sequences with payment links, dispute detection and automatic handoff when a customer replies with a problem.
- Typical impact
- DSO improvements of one to three weeks are common.
Expense policy enforcement
- The manual process today
- Expense claims are approved by managers who never read the policy.
- What we build
- Every claim checked against policy with receipt verification and outlier detection, flagging only what actually breaches.
- Typical impact
- Policy applied consistently; approver time nearly eliminated.
Bank reconciliation assistance
- The manual process today
- Unmatched transactions consume the first three days of close.
- What we build
- Match suggestions with confidence scores and learned rules from past decisions, leaving only genuinely ambiguous items.
- Typical impact
- Reconciliation effort reduced substantially each month.
Management reporting and commentary
- The manual process today
- The numbers are ready on day five, the commentary lands on day twelve.
- What we build
- Variance analysis and draft narrative generated from your ledger and budget, in your reporting format, for the controller to edit.
- Typical impact
- Reporting pack drafted the day the ledger closes.
Client onboarding for accounting practices
- The manual process today
- New clients need KYC, engagement letters, software access and a data request list.
- What we build
- One orchestrated flow: identity checks, letter generation, portal setup and an automated chase for missing records.
- Typical impact
- Onboarding cycle cut from weeks to days.
Transaction categorisation for bookkeeping
- The manual process today
- Bookkeepers categorise thousands of low-value transactions manually.
- What we build
- Client-specific categorisation learned from history, with confidence thresholds and a review queue for the unclear.
- Typical impact
- The bulk of routine coding handled automatically.
Audit evidence preparation
- The manual process today
- Audit requests trigger a scavenger hunt across drives and inboxes.
- What we build
- An assistant that locates, assembles and indexes supporting evidence against each audit request, flagging gaps early.
- Typical impact
- Audit prep time cut sharply, with fewer late surprises.
What finance teams ask us.
We never let a model do arithmetic that a system of record should do. It reads documents, proposes matches and drafts narrative; the ledger stays the source of truth and every posting keeps an audit trail.
Approval rules stay yours. We encode them explicitly so routing is deterministic, and only the reading and classification steps are AI.
Audits are a fixed fee and are credited against a build. Single-workflow builds typically land in the low five figures, multi-workflow programmes higher, and ongoing running and support is a fixed monthly fee. You get the number before we start, not a rolling hourly bill.
A first pilot on your real data usually runs within two to four weeks of the kickoff call. Full deployment with integrations and training normally lands between weeks four and eight.
Tell us what your finance team keeps doing by hand.
Thirty minutes, no pitch deck. We map the process, tell you whether automation pays back, and give you a rough cost before you commit to anything.