Case studies

Work that moved
the numbers.

Every engagement below shipped to production and is measured against the metric the client cared about. No lab demos, no vanity screenshots.

B2B SaaSAI AgentsAI & GenAI

An autonomous support agent that resolves 70% of tickets

Challenge
A fast-growing SaaS platform was drowning in support volume — first response times had climbed past six hours, and hiring couldn't keep pace with ticket growth.
What we built
We engineered a multi-agent triage system grounded in their help center and product database. The agent classifies, researches, and resolves routine tickets end to end, escalating edge cases to humans with full context attached.
Result
Seventy percent of routine inquiries now resolve without human touch, and the support team spends its time on the conversations that actually need judgment.

85%

faster average resolution

70%

tickets resolved autonomously

$200k

annual support cost savings

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Financial ServicesAI & GenAIData Engineering

Twenty years of documents, answered in seconds

Challenge
Analysts spent hours digging through two decades of unstructured PDF reports, filings, and internal memos to answer questions that clients expected same-day.
What we built
We built an enterprise RAG platform with hybrid retrieval, metadata filtering, and citation-accurate grounding — every answer links back to the exact source page, so analysts can verify before they publish.
Result
Research that took days now takes minutes, with every claim traceable to a source document — a requirement their compliance team wouldn't bend on.

90%

reduction in research time

100%

answers with source citations

20 yrs

of archives made searchable

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LogisticsProduct EngineeringCloud & DevOps

Real-time visibility for a nationwide logistics fleet

Challenge
Dispatchers coordinated hundreds of daily shipments through spreadsheets and phone calls — no live view of fleet status, and no way to warn customers about delays before they happened.
What we built
We designed and shipped a real-time operations platform: live GPS ingestion over Kafka, a dispatcher command center built in Next.js, and ML-based ETA predictions that flag at-risk deliveries hours in advance.
Result
The operations team went from reactive firefighting to proactive exception management, and on-time delivery became a sales differentiator instead of a liability.

22%

improvement in on-time delivery

3 hrs

average early warning on delays

8 wks

from kickoff to first release

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HealthcareAI & GenAIProduct Engineering

An ambient AI scribe that gives clinicians their evenings back

Challenge
Clinicians across a multi-site provider group were spending two-plus hours a day writing up visit notes after hours — a leading driver of burnout and a hard ceiling on how many patients they could see.
What we built
We built an ambient documentation assistant that listens to a consented visit, drafts a structured clinical note in the provider's template, and hands it to the clinician for a fast review-and-sign — with strict data-handling and a full audit trail.
Result
Clinicians reclaimed most of their documentation time, notes were completed the same day, and the group could expand capacity without adding administrative headcount.

2 hrs

saved per clinician each day

40%

less time on documentation

same-day

note completion rate

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Retail & E-commerceData EngineeringCloud & DevOps

One source of truth for a multi-brand retailer

Challenge
Five brands, eleven systems, and no shared definition of revenue. Month-end reporting took two weeks of manual reconciliation, and leadership had stopped trusting the dashboards.
What we built
We consolidated their estate into a governed lakehouse — dbt-modeled, contract-tested, with a semantic layer feeding every dashboard from one set of definitions.
Result
Month-end closes in two days instead of two weeks, and every team from merchandising to finance reads from the same numbers.

10x

faster month-end reporting

11

systems unified into one platform

99.9%

pipeline reliability

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Retail & E-commerceProduct EngineeringDedicated Teams

Replatforming an e-commerce brand for scale

Challenge
A legacy monolith buckled every sale event — pages took six seconds to load, releases shipped quarterly, and every promotion was a gamble on uptime.
What we built
An embedded Datricx squad executed a strangler-fig migration to a headless Next.js storefront with edge rendering — replatforming incrementally with zero downtime while the old system kept selling.
Result
Sub-second page loads, daily deploys, and their first Black Friday in years without a single incident.

6x

faster page loads

31%

conversion rate lift

0

downtime during migration

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