Azure DevOps
Highlights
- IT, Finance, and Compliance delivery on one data model, and every team kept planning and running sprints its own way
- Metrics kept a consistent read on throughput, adherence, and risk while a new delivery framework changed how work moves
- Team leads, executives, and super users each work from the same record, with plain-language questions answered from it
Situation
This advanced manufacturer runs software delivery across IT, Finance, and Compliance. Each function worked from its own boards, definitions of done, and status reports. As the company rolled out a new delivery framework, a single piece of work started spanning multiple linked items instead of one. Leadership needed one picture of delivery health across all three functions.
Challenge
Leadership needed answers to four questions:
- Where does delivery risk sit before disruption hits operations?
- Is the new delivery framework speeding up delivery of high-quality products to internal customers?
- Are IT, Finance, and Compliance moving fast enough to keep up with the business?
- Where is spend outpacing value, and how would leadership know before the budget runs out?
Without one view, each team reported on its own terms.
Solution
Bloomfilter connected the company's Azure DevOps instance into a single data model spanning IT, Finance, and Compliance. The platform tracks team-level delivery and portfolio-level initiative health from one record. Teams ask plain-language questions about delivery data from that same record.
The new delivery framework launched in January 2026. The Bloomfilter partnership started the following month. Rollout ran in three steps:
- Ingest and validate the underlying data
- Build dashboards and train a group of super users
- Reach full enablement across live teams by August 2026
One read on delivery, held steady through a framework change
Before Bloomfilter, leadership pieced together delivery health from three sets of status reports, each built on its own boards and definitions of done. The engagement gave IT, Finance, and Compliance one shared view, without asking any team to change how it plans or runs sprints. Leadership sees risk and progress across all three functions in one place.
That view had to hold while the ground moved. The new framework changed what a unit of work looked like, with one item becoming several linked items. Any metric built on the old shape would have drifted. Bloomfilter adjusted the underlying definitions as the framework rolled out, so throughput, adherence, and risk kept a consistent read from month to month.
Every level works from the same record
Team leads track sprint planning acceptance, scope creep, readiness, and burndown for their own work. Leadership reads strategic initiative health across the three portfolios. Both views draw on the same data model, so the team view and the executive view agree.
Finance and the PMO use the same record. On-demand reporting lets them flag spend and resource mismatches early, before they compound. That answers leadership's budget question with evidence rather than estimates.
The company's own super users keep it running. Field guides, admin guides, and on-demand automations equip them to operate and extend the platform on their own.
A maturity model from trusted data to agentic delivery
The work follows a four-phase maturity model, and each phase builds on the data proven in the one before it. It starts with a trusted foundation and moves to team-level adherence. From there it reaches portfolio health and spend-to-value for leadership, and finally agentic delivery: how agents and human-plus-agent teams do the work.
The order is deliberate. Executive and agentic views are only as good as the data under them, so the model begins by proving that data is complete and trusted.
| Focus | What it delivers |
|---|---|
| Data validation and observability | A connected SDLC toolchain, with the underlying data proven complete and trusted. |
| Team-level performance metrics and insights | Team-level observability and process adherence, with on-demand insights. |
| Executive-level performance and insights | Portfolio and product health, delivery risk, and spend-to-value for leadership. |
| Agentic observability and optimization | Visibility into how agents and human-plus-agent teams deliver work across the SDLC, and where to optimize. |
What changed
The new delivery framework rolled out with its measurement intact. Leadership could judge the framework on the same record the teams worked from, instead of on each team's account of it. Every phase of the model draws on that record, so the path from team adherence to spend-to-value to agentic delivery runs on data the company already trusts.
About the data. Based on Bloomfilter's work with the company, February to August 2026, across its IT, Finance, and Compliance portfolios.