How the delivery model plays out in practice.
A look at the kind of problems, architecture decisions, and outcomes our engagements are built around.
A 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
0 days
Slip against the committed release date
38%
Increase in sprint throughput by the third sprint
A 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
6
Digital products shipped before core replacement completed
99.98%
Core availability maintained across the migration window
A 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
0
Changes required to the policy administration system
4x
Increase in claim documents processed per adjuster hour
A 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
1
Release train serving all tenants, replacing per-customer branches
71%
Reduction in monthly infrastructure spend per customer
A 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
44%
Reduction in annual infrastructure run cost after right-sizing
0
Unplanned outages during the first peak trading period after migration
An 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
Near real time
Shop-floor to ERP data latency, previously an overnight batch cycle
2 weeks
Time to connect a new plant system, down from an average of four months
A 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
100%
Reported figures traceable to source through automated lineage
15 min
Telemetry freshness for condition monitoring, previously daily
A 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
100%
Submissions reviewed and approved by a clinician before sending
0
Clinical decisions made by the system
A 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
1,900+
Automated tests covering statutory eligibility and payment rules
0
Audit or change control requirements removed to achieve it
A 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
Every build
Security scanning moved from annual penetration test to pipeline gate
Days
Security questionnaire turnaround, previously several weeks
A 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
Real time
Inventory availability across web, agent, and partner channels
Stage 1 of 4
Point at which the programme became self-funding
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