Case Studies
Case studies: software delivery and staffing results
How the delivery model plays out in practice.
A look at the kind of problems, architecture decisions, and outcomes our engagements are built around.
Showing 11 of 11
- HealthcareA Regional Health System
Adding four senior engineers in three weeks when hiring would have taken five months
A regional health system had approved headcount, a fully scoped roadmap, and a patient-portal release date tied to a payer contract it could not move — but a five-month average time-to-hire. Four vetted senior engineers embedded into the existing platform team, worked under the client's own technical leadership, and the release shipped on its original date.
- 3 weeks
- From first conversation to first merged pull request
- 4
- Senior engineers embedded into the existing platform team
- BankingA Mid-Sized Regional Bank
Modernizing a core banking platform without a cutover weekend
Core banking modernization without a big-bang cutover: a regional bank moved capability out of a twenty-year-old core in slices, behind an API abstraction layer, so digital products could ship while the legacy platform kept running underneath.
- 14 months
- Elapsed time to retire the first three core functions
- 0
- Big-bang cutover events required
- InsuranceA National Property and Casualty Insurer
Cutting claims cycle time with document AI and automated triage
Insurance claims automation applied where it actually pays back: a national property and casualty insurer replaced manual first-notice-of-loss rekeying with document AI, automated triage, and straight-through processing for low-complexity claims — leaving adjusters on the claims that need judgement.
- 62%
- Low-complexity claims processed without manual data entry
- 3.1 days
- Reduction in average time from first notice of loss to adjuster assignment
- LogisticsA Freight Visibility Software Provider
Rebuilding a single-tenant freight platform as multi-tenant SaaS
SaaS product development for a logistics software provider whose growth had stalled on its own architecture: forty-one customer-specific deployments were consolidated into a single multi-tenant platform, cutting onboarding from weeks to hours and making one release serve every customer.
- 41
- Customer-specific deployments consolidated into one platform
- 4 hours
- New customer onboarding, down from an average of three weeks
- RetailA Multi-Brand Retail Group
A cloud migration built for peak season, not the test plan
Cloud migration services applied to a retailer whose data centre could not absorb Black Friday: three commerce brands were moved to a cloud-native platform in waves, with autoscaling proven against replayed peak traffic before a single customer request was routed to it.
- 3
- Commerce brands migrated in sequenced waves, none in a single cutover
- 11x
- Peak-to-baseline traffic absorbed by autoscaling without manual intervention
- ManufacturingAn International Industrial Manufacturer
Replacing 60 point-to-point interfaces with one API layer
System integration services for a manufacturer running eleven plants on sixty undocumented point-to-point interfaces: ERP, MES, warehouse, and shop-floor systems were consolidated behind a governed API and event layer, so production data stopped arriving a day late.
- 60+
- Point-to-point interfaces replaced by a governed API and event layer
- 11
- Plants brought onto a single integration pattern
- EnergyA Regional Utility and Grid Operator
Building a grid asset data platform regulators can audit
Data engineering services for a utility whose asset and telemetry data lived in nine systems with no shared definitions: a governed lakehouse with end-to-end lineage replaced a quarterly reporting scramble and made condition-based maintenance possible.
- 9
- Source systems consolidated into one governed data platform
- Hours
- Regulatory submission preparation, down from a multi-week reconciliation cycle
- HealthcareA Multi-Specialty Physician Group
Using AI to take the paperwork out of prior authorization
Healthcare AI applied to an administrative problem rather than a clinical one: a physician group automated prior authorization assembly and payer rule matching, cutting the staff time behind each request and reducing avoidable denials — with a clinician approving every submission.
- 18 min
- Average staff time per authorization request, down from 47 minutes
- 31%
- Reduction in denials attributable to incomplete or incorrect submissions
- GovernmentA State Government Benefits Agency
Replacing a six-week manual regression cycle with test automation
QA automation and DevOps for a benefits agency releasing twice a year because regression testing took six weeks: an automated test suite and a governed deployment pipeline brought the agency to monthly releases without loosening a single control.
- 6 weeks to 9 hours
- Full regression cycle duration after automation
- 2 to 12
- Production releases per year
- EducationA Higher Education Technology Provider
Clearing a security backlog before it cost the enterprise deals
Application security services for an education technology provider losing enterprise deals at the security questionnaire: architectural findings were remediated, controls were moved into the pipeline, and SOC 2 readiness stopped being an annual scramble.
- 4
- Enterprise procurement cycles previously stalled at security review
- 100%
- Critical and high findings remediated before SOC 2 audit fieldwork
- TravelA Mid-Market Tour Operator
Digital transformation for an operator still running on spreadsheets
Digital transformation sequenced by revenue impact rather than by system age: a tour operator taking most bookings by phone replaced spreadsheet-based inventory and a decade-old reservation system in stages, starting with the one that was actually costing it money.
- 6 systems
- Retired, including the spreadsheet-based inventory the business ran on
- 2.3%
- Bookings previously lost to double-sold inventory, now eliminated
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