Work · AI & software case studies

AI case studies, with receipts.

AI case studies from production: LLM applications, ML models and the platforms they run on, across six industries. Every metric was agreed with the client and measured. Names withheld on request.

Featured AI case studies: LLM, machine learning and platform engineering

HealthTech · LLM intake automation

Cutting prior-auth review from days to minutes with LLMs.

An LLM-powered intake pipeline that reads insurance documents, auto-routes routine cases and sends complex ones to clinicians.

Read the prior-auth case study
87%auto-routed
3.2 daysmedian time saved
Series Bstage
FinTech · ML fraud detection

Real-time ML fraud scoring at <100 ms p99.

Streaming model inference on a custom feature store replaced a batch ML pipeline, so every transaction is scored in real time.

FinTech AI solutions
96 msp99 latency
4.2×fraud catch rate
$0.0008per check
E-commerce · Headless storefront

Migrating a $40M Shopify storefront to headless.

A phased move to Next.js and headless commerce, shipped while the store ran a sustained sale season.

E-commerce AI solutions
2.1s → 0.7sLCP
+18%conversion
0downtime windows
SaaS · Internal tools

An admin console that scales with the customer base.

One operations console replaced a sprawl of spreadsheets and Retool dashboards, and support tickets fell 60%.

SaaS AI solutions
12ktenants supported
60%support tickets reduced
9 wksto GA
Logistics · Dispatch platform

Live dispatch on edge devices in 3 countries.

Offline-first dispatch and routing on rugged Android devices, orchestrated from the cloud.

Logistics AI solutions
99.96%uptime
4 hrsmedian offline tolerance
3countries
Travel · Booking engine

A unified booking engine across rail, bus and ferry.

One trip search and checkout across 8 rail, bus and ferry providers for a regional travel marketplace.

Travel AI solutions
450ktrips/month
8providers
11 wksto first booking

AI outcomes, not output.

We agree the numbers that matter before we write code, then instrument them from day one. On AI builds that starts with an eval set, the same practice behind our LLM evaluation and QA work.

The business outcome

One number tied to revenue or cost, agreed in week one: hours of manual review removed, conversion or time-to-first-value.

The quality bar

For AI systems: eval pass rate and accuracy on a labeled test set. For everything: p95 latency, error rate and LCP, held on every release.

The cost envelope

Cost per request, per model call and per active user. We size models and infrastructure to real load, not a demo.

The delivery signal

Cycle time, PRs merged and the share of work behind feature flags. Boring metrics that predict everything else.

The receipts, compounded.

Aggregated from the last 36 months of work, across every engagement where the client let us share numbers.

150+

Projects shipped to production across six core industries.

$2.4B

Combined ARR running on infrastructure we built or worked on.

11.2M

End users on code our team has written or maintained.

99.94%

Median uptime SLA delivered across all production workloads.

14

Countries where our deployments are running today.

0

Material security incidents across every engagement since our founding.

Quiet endorsements from operators.

Every quote comes from a real role on a real engagement. Names are withheld where clients asked. Read all client testimonials.

“They reset our expectations of what a partner agency could be. The diff quality is consistently better than our in-house team's, and they push back when we're wrong.”
VP ENGINEERING · SERIES C HEALTHTECH
“We hired them for a one-month POC. Eighteen months later they own three of our most critical services. They earned every line of code.”
CO-FOUNDER · FINTECH · NAME WITHHELD
“The first PR was the moment I knew. Tests included, observability wired in, a written rationale. Most agencies take six months to get there. WAMO arrived that way.”
CTO · LOGISTICS SAAS
“Cost-conscious without being cheap. They flagged a $14k/month AWS line item in week two and saved us more than their first invoice on infrastructure alone.”
FOUNDER · E-COMMERCE PLATFORM

Where we've already done the homework.

Each industry here has at least three shipped engagements. You get AI patterns we've already proven and compliance work we've done before. Planning a build? Meet our LLM application development team.

HealthTech & Pharma

Clinical AI, prior-auth automation, patient platforms and HIPAA-grade data pipelines.

Healthcare AI solutions

FinTech & Banking

Real-time fraud scoring, KYC flows, payments, lending and ledger integrity.

FinTech AI solutions

E-commerce & Retail

AI search and personalization, headless storefronts, subscriptions and payments.

E-commerce AI solutions

SaaS & B2B platforms

AI features for multi-tenant products, billing, internal tools and observability.

SaaS AI solutions
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