Case studies
What we delivered. What improved.
Production means the client runs it today. POC means we validated it against live cases and documented where a person still decides.
Production60%Healthcare, commercial operations
Four European markets. Multiple systems. One operating layer.
- Growth goal
- Run four European markets as one commercial operation, with each market keeping its local systems.
- Operating constraint
- Orders, warehouse activity and reporting needed manual coordination between disconnected systems in every market.
- Measured result
- 60% less manual entry and the first real-time operating view across all four markets.
Production3 days to 15 minManufacturing, finance operations
Invoice to purchase order to receiving to payment.
- Growth goal
- Handle a growing invoice volume without adding people to matching and receiving.
- Operating constraint
- Every invoice was checked against purchase orders by hand, with paper trails and warehouse receiving errors feeding rework.
- Measured result
- Processing from three days to 15 minutes, with 94% of invoices matched automatically.
Production99.25%Gaming, finance operations
Payment reconciliation at scale.
- Growth goal
- Reconcile roughly 4.6 million transactions per period across several payment providers without the finance team touching routine matches.
- Operating constraint
- Each provider delivered a different format. Manual reconciliation was both a bottleneck and a control risk.
- Measured result
- 99.25% matched automatically. The finance team stopped touching routine reconciliation.
Production20+Private equity, portfolio operations
Twenty companies, one reporting layer.
- Growth goal
- Give a private equity group one reporting layer across more than twenty portfolio companies.
- Operating constraint
- Every company ran a different ERP and format. Monthly consolidation was slow and entirely manual.
- Measured result
- Board-ready reports in minutes. Cash-flow risks caught three weeks earlier.
Production100%Public sector, IT operations
Government IT service automation, fully on premises.
- Growth goal
- Automate service-desk triage for a national agency without any data leaving its network.
- Operating constraint
- Standard AI tooling depends on cloud APIs. For sensitive public-sector data that was not an option.
- Measured result
- Tickets triaged and routed automatically, 100% on premises, with no vendor dependency for the models.
ProductionHR technology, workforce operations
RevoHR: HR for frontline workers.
- Growth goal
- Reach the frontline workforces that office-built HR software never reaches.
- Operating constraint
- Frontline workers rarely sit at a desk. HR processes designed for office staff simply never reached them.
- Measured result
- An HR product frontline teams adopt without training.
ProductionLiveHealthcare, women's health product
Lunalta.ai: an AI health companion for menopause.
- Growth goal
- Give women going through menopause reliable answers between appointments, and give clinicians their repeated questions back.
- Operating constraint
- Guidance came in short appointments and long waits, and clinicians answered the same questions all day.
- Measured result
- A live product with a doctor-validated knowledge base and every consequential answer traceable to its source.
POCIT distribution, revenue operations
Agentic order-to-cash.
- Growth goal
- Let an order desk handle more orders without more people checking stock, compatibility and suppliers by hand.
- Operating constraint
- Every order meant checking stock, verifying device compatibility and chasing suppliers for missing parts.
- Validated result
- Validated against live order cases, with the points where a person still decides documented.
POCField operations
Field support copilot for ATM operations.
- Growth goal
- Let field agents service ATMs across a national network without calling dispatch for every procedure.
- Operating constraint
- Procedures lived in thick manuals nobody could search on site. Every intervention waited on a call.
- Validated result
- Source-grounded procedure steps returned for the validation cases.
POCP10 / P50 / P90Energy, grid operations
Grid load forecasting copilot.
- Growth goal
- Give grid operators forecasts they can dispatch on, with the uncertainty visible.
- Operating constraint
- Dispatch ran on a single-point spreadsheet forecast: no ranges, no drift monitoring, no record of why decisions were made.
- Validated result
- P10, P50 and P90 forecast ranges, drift checks, a decision record and an approval gate, demonstrated in the tested workflow.