AI-Assisted Sprint Planning for Product Teams Using Claude Code and JIRA
A K-12 software company automated sprint planning, cutting setup time from hours to minutes through Claude Code connected to JIRA.
Real client work: engagements, projects, implementations.
All anonymized by technology, industry, region so you can find work like yours.
A K-12 software company automated sprint planning, cutting setup time from hours to minutes through Claude Code connected to JIRA.
A global freight forwarder and customs broker replaced manual document handling with a Snowflake Cortex Document Intelligence pipeline that turns freight, customs, and insurance paperwork into structured, queryable data.
A library of technical manuals turned into a searchable AI tool that gives support techs sourced, verifiable answers in seconds.
An interactive AI chat window that allows busy consultants to streamline their timesheet entries using natural language.
Six autonomous agents handle a BI platform’s upkeep around the clock, freeing the team for work that needs human judgment.
A browser automation bot that imports bulk customer data into a web platform with no usable API, driving the UI like a person.
A fiber-optic telecommunications provider catalogued 13,300 dashboards and established end-to-end data lineage with Atlan across a Snowflake, dbt, and Qlik stack for 200+ data workers.
A public sector organization navigated formal government AI assurance to deploy Snowflake Cortex in production.
A state government transport authority built its first enterprise data platform and a natural-language AI search engine over engineering drawings using Snowflake Cortex, approved under the Government AI Assurance Framework.
A scattered Claude Code review setup across a dbt and semantic model stack, standardized into a system the org can trust.
A client’s governed Snowflake environment connected to Claude Desktop so business users can query their data conversationally.
We built an internal tool that turns AI-generated HTML artifacts into links that open instantly in the browser.
A major healthcare foundation trust migrated 164 billion rows across 100,000 tables to a Snowflake Secure Data Environment on a hard deadline, using an AI-assisted SQL translation pipeline.
A professional sports league was migrating its member clubs onto a centralised, league-managed Salesforce CRM platform to standardise how fan and member data is managed across the competition.
A national public-health shared-services organization modernized ~100 legacy on-premise pipelines onto a cloud-native stack (dbt Core, Apache Airflow, DLT) with a reusable DAG factory.
A publicly traded consumer goods manufacturer with a growing multichannel retail presence had built its analytics practice on Looker, but the platform was no longer keeping pace with the business. Reports were slow to load, logic was fragmented across dozens of disconnected entities, and the data team was fielding more requests than a centralized setup could efficiently serve.
A global engineering software company met a hard Matillion deprecation deadline with a zero-downtime agent upgrade of its Matillion and Snowflake pipelines on Azure, completed in under two weeks.
A state government health shared services organization serving 50,000 to 70,000 health workers across multiple hospital networks, health service providers, and regional facilities spanning nearly 1 million square miles needed to replace legacy reporting infrastructure with a modern, real-time analytics platform.
A professional services and advisory firm had a large volume of institutional documents stored in SharePoint and needed to move them into Snowflake to enable AI-powered search and future retrieval-augmented generation (RAG) use cases. Their Snowflake environment was configured on PrivateLink, ruling out common ingestion tools that do not support PrivateLink natively.
A privately held fintech company serving professional services firms had outgrown its existing reporting stack. Despite a significant analytics investment, the organization was running on a fragile, Excel-heavy process that created bottlenecks, limited visibility, and left a recently adopted BI platform largely underutilized. Financial reporting across payments, subscriptions, and client cohorts depended on a small number of manually assembled Excel…
A global branded merchandise agency serving Fortune 1000 enterprises, sports organizations and entertainment properties needed to move quickly off Tableau and onto Sigma before a hard contract deadline
A major health insurer eliminated manual Snowflake notebook workflows by embedding a data engineer who migrated them to automated, tested dbt models.
An independent game studio inherited an unstable Snowflake and Tableau environment from a prior vendor; we stabilized then modernized it with a dbt Medallion architecture and automated alerting ahead of launch.
A health information exchange serving 4,900+ users modernized its analytics stack for complex semi-structured healthcare data with a three-month Snowflake, Matillion, and Tableau proof of concept.
A global natural-cosmetics brand unified marketing data from Google, social, e-commerce, ERP, and CRM sources into a single Snowflake environment, enabling cross-platform ROI analysis for the first time.
A national workforce-development nonprofit built a governed analytics foundation on Snowflake, AWS, and Tableau, unifying the full learner lifecycle from application to job placement.
A national EV charging network built a Snowflake warehouse to support internal analytics and enable private B2B data exchanges with hardware vendors and partners.
A cooperative serving ~300 electric utilities replaced an overwhelmed Oracle warehouse with Snowflake, standing up a proof of concept in three days as smart-grid metering pushed data volumes past 1.7 billion readings a year.
A state government health shared services organization was running approximately 100 data pipelines across legacy on-premise platforms and disparate clinical and operational source systems with no unified data layer. The organization needed to consolidate reporting infrastructure across WebPAS (patient administration), Oracle systems, Workday (HR and finance), and external health data sources into a single Snowflake environment.
One of Australia's largest superannuation funds needed an enterprise-grade Snowflake platform with a medallion architecture and the compliance documentation to pass CPS234 and CPG235 governance sign-off.
A global greeting-card and consumer-products brand migrated legacy on-premise analytics to Snowflake and Tableau Cloud, opening up external data sharing without disrupting its analytics culture.
A risk and audit consulting firm serving public-sector clients replaced SQL Server with a Snowflake Rapid Start featuring client-level cost allocation for direct pass-through billing.
A government-owned energy corporation mid-SAP-migration needed its Matillion pipelines feeding Snowflake and Power BI validated and remediated with zero tolerance for production issues at go-live.
The world's leading digital music aggregator replaced an overwhelmed MySQL reporting environment with a Snowflake, Matillion, and Tableau stack, cutting a nine-hour nightly refresh to 30 minutes.
A K-12 EdTech platform serving 10M+ students rebuilt its data infrastructure around a Snowflake-native, code-first stack, migrating a complex Matillion estate to Fivetran, dbt, and Terraform with full data parity.
A national sports governing body needed to reduce third-party ETL dependency and resolve a backlog of data reliability problems across 18 clubs, delivered on a Snowflake-native architecture.
A multinational automotive supplier required consolidation of fragmented Tableau Server instances onto a cloud-based platform.
A global consumer products manufacturer with a portfolio of widely recognized licensed and proprietary brands had reached the limits of its existing analytics setup. Rising Tableau licensing costs had made the platform difficult to justify, and an entire class of critical business processes was still being managed through hundreds of individual spreadsheets with no scalable path forward.
A privately held AI platform company serving private equity-backed mid-market operators had made Sigma central to how its internal development team delivers performance analytics to clients. With a full product roadmap and a developer team committed to client-facing work, the organization needed outside expertise to execute its Tableau-to-Sigma migration and support its developers as they ramped up on the new…
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Interworks GmbH
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40213 Düsseldorf
Germany
Geschäftsführer: Mel Stephenson
Kontaktaufnahme: markus@interworks.eu
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