Operations.

The unglamorous wins that compound monthly. We build the automations that take invoice triage, document extraction, onboarding handoffs, and inventory sync off your back-office teams — so finance, HR, and ops stop being the bottleneck on every internal request.

Time to ship ~3 weeks*
Cost per invoice −80%1
Stacks NetSuite · Xero · QuickBooks · Workday
Document types PDF · Email · Forms

Indicative timeline. Final scope and dates agreed after the intro call.

Why it pays back

Outcome 01

Manual AP is six times the cost

$12.88 average cost per manually processed invoice1
$1.77 average cost when fully automated

Touchless invoice processing collapses the cost line and cuts cycle time from receipt to payment. The savings show up in the next month’s close, not in a future quarter’s roadmap.

Outcome 02

Documents read themselves

1.8 h a day the average knowledge worker spends searching for or processing information2

OCR plus LLM extraction routes invoices, receipts, contracts, and ID documents to the right system with the right fields filled. The hunt for the right PDF becomes a query, not a meeting.

Outcome 03

Onboarding done right is rare

12% of employees say their company does onboarding well3

Day-zero account creation across 10+ systems, equipment requisition, calendar holds, manager handoff — all auto. The new hire ships work in week one instead of chasing IT tickets.

Outcome 04

Inventory accuracy is worse than you think

63% average retail inventory record accuracy without continuous reconciliation4

Cross-warehouse sync, reorder triggers tied to real velocity, and exception routing for shrinkage and returns. The shelf and the system agree by the end of the day, not the end of the quarter.

Outcome 05

Back-office hours compound

60–70% of finance team time spent on transactional work, not analysis5

Each automation is a recurring monthly hour-saver. Five of them and you’ve reclaimed an FTE worth of capacity — redirected to the analysis the business actually needs.

Who it’s for

What you get

Deliverable 01

Invoice & AP automation

Inbound invoices captured from email, portal, or scan. Line-item extracted, PO-matched where applicable, routed for approval, and posted to your ERP. Three-way match on POs that need it, exception queue for everything else.

Deliverable 02

Document extraction pipeline

OCR plus LLM extraction for receipts, contracts, application forms, ID documents, and any other unstructured input you process by hand. Structured output piped to the system where the data needs to land — CRM, HRIS, ERP, or a custom DB.

Deliverable 03

HR onboarding flows

Day-zero account creation across IdP, Slack, GitHub, your HRIS, and the rest of the stack. Equipment requisition, calendar holds, manager handoff, welcome doc generation, and 30/90-day check-in triggers wired to your HRIS.

Deliverable 04

Inventory & ops sync

Cross-warehouse stock sync, low-stock alerts to procurement, reorder triggers based on real velocity, and returns/exceptions routed to the right human queue. Built around your WMS or ERP, not in place of it.

How a build runs

Week 1 / D 1–3

Process audit

One working session with the operator who owns the workflow today. We trace the full path of a real invoice or onboarding from start to finish, identify the manual touchpoints, and pick the highest-payoff first deliverable.

Week 1 / D 4–7

First flow live

Usually invoice extraction or document processing — the workflow with the highest volume and the clearest ROI. Running against a sandbox or scoped slice of real documents by end of week one, with the exception queue wired up.

Week 2

Second flow + monitoring

Onboarding or inventory sync added on the same orchestration layer. Dashboards for throughput, exception rate, and cycle time live and reporting against the week-one baseline.

Week 3

Rollout & handover

Expand from the pilot scope to full production volume, walk the operator through the runbook, and hand over the repo. You leave week three with the build live in production and a baseline you can keep measuring.

Indicative timeline. Multi-entity ERPs or unusually high document variety can stretch this; we confirm dates after the kickoff session.

Fixed scope. Peace of mind.

Defined scope, agreed in writing before kickoff. No metered hours, no surprise add-ons, no scope creep mid-build. The first week sets the bar — we ship to it, and you see the build running against your real documents and systems by week three.

You own the repo, the prompts, the extraction logic, and the model relationship. Production model usage is billed by the provider directly to your account — no markup, no reseller margin, no vendor lock-in to us.

Investment is sized to your document mix, integration count, and exception complexity after the intro call. We come back with one number, in writing.

Start a project

FAQ

Our invoices come in 15 different formats. Will this work?

Yes. The extraction layer is LLM-backed, not template-based, so it handles unstructured PDFs, scans, and emailed line items without per-vendor configuration. The first deliverable benchmarks accuracy against your real invoice mix and surfaces the low-confidence ones for human review.

What about invoices and documents that need a human in the loop?

Confidence scoring on every extraction. Anything below threshold is routed to a queue (Slack, email, or your AP tool) with the source document and the extracted fields side by side, ready to approve or correct in one click. The exception path is part of the build — not an afterthought.

Will this replace our ERP or accounting system?

No. We integrate with what you have — NetSuite, Xero, QuickBooks, Sage, Workday, BambooHR, your IdP — through their APIs. The build sits between the inbound document or trigger and your system of record. You keep your stack.

How do you handle edge cases and exceptions?

Every flow ships with an explicit exception path: low-confidence extractions, missing PO matches, duplicate detections, and out-of-policy items get routed to a human queue with full context. The dashboard tracks exception rate by category so you can see where the long tail lives.

Where does the data live?

In infrastructure you control. Document storage, extraction caches, and orchestration deploy in your cloud account (AWS, GCP, Azure) by default. Documents flow from your inbox or portal through extraction back to your ERP — we don’t sit in the middle as a data broker.

Do we own the model relationship?

Yes. Production model usage is billed by the provider directly to your account — no markup, no reseller margin, no lock-in to us. You can swap providers post-handover. Build-time spend is on us.

What happens after the build?

Three options: (1) take the repo and run it internally, (2) keep us on for monitoring, exception-queue tuning, and adding new document types, (3) scope a follow-on build (procurement, expense, multi-entity consolidation). No pressure to continue.

Ready to take the back office off your team?

Tell us which workflow eats the most hours today — AP, document handling, onboarding, or inventory. We’ll come back within one business day with the next step.

Open the contact form

Sources

  1. Ardent Partners, State of ePayables — average all-in cost to process a single invoice manually is roughly $12.88, dropping to ~$1.77 for fully automated, touchless processing. ardentpartners.com
  2. McKinsey Global Institute, The Social Economy: Unlocking Value and Productivity Through Social Technologies — knowledge workers spend an average of 1.8 hours a day, 9.3 hours a week, searching for and gathering information. mckinsey.com
  3. Gallup, State of the American Workplace / Onboarding Research — only 12% of employees strongly agree their organisation does a great job onboarding new employees. gallup.com
  4. Auburn University RFID Lab, Inventory Accuracy Studies — average retail inventory record accuracy without continuous reconciliation sits around 63%, vs 95%+ in environments with item-level tracking and sync. rfid.auburn.edu
  5. PwC and APQC, Finance Effectiveness Benchmarking — finance teams in median-performing organisations spend 60–70% of their time on transactional work, leaving the minority for analysis and decision support. pwc.com