The work, measured.
Real engagements, anonymised at the client's request. Numbers are pulled directly from production telemetry. Sectors and regions are accurate; names and pricing are withheld by agreement.
Onboarding rebuilt in 17 days. Time-to-live: 8 days → same afternoon.
A mid-market B2B SaaS was losing deals at the finish line. Customers signed, then waited 8 business days to get a working account. Sales blamed Ops. Ops blamed Engineering. Nobody owned the path from contract to live.
- ×Manual account creation across 4 internal systems
- ×CSV migration handled by a single CS lead
- ×Kickoff scheduling that required 6 emails minimum
- ×Welcome sequence triggered by a person, not a system
- →Contract-signed webhook into a workflow that provisions all 4 systems in parallel
- →Migration agent ingests the customer's data, validates it, surfaces exceptions
- →Calendar handshake fires the moment provisioning is green
- →Customer lands in their account by end of business the same day
Underwriting data entry: 4.1% error rate → 0.02% in three weeks.
An insurance broker had been "going to fix" a manual data-entry problem for two years. Policy details were re-typed from PDF applications into the underwriting system. A transposed digit had just cost them a R200,000 claim shortfall. The committee meetings had stopped helping.
- ×Application PDFs received by email, varying formats
- ×Re-typed by hand into a legacy underwriting platform
- ×Errors caught only at claim time — sometimes never
- ×No audit trail tying policy back to original application
- →PDF ingestion that extracts every field with confidence scoring
- →Validation layer that flags low-confidence values for human review
- →Direct write into the underwriting platform, with audit linkback
- →Exception queue replaces the data-entry queue — humans handle judgment, not typing
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