One Embedded Team, Four Live Applications | Adroitent

Customer Story · IT Services · Software Engineering

One Embedded Team, Four Live Applications, Zero Quality Drift

The customer is a leading IT services provider delivering ongoing development and enhancement support to its own portfolio of end customers, spanning travel, logistics and e-commerce. Every project carried its own technology stack, its own release cadence and its own business priorities — and all of them ran at the same time.

Adroitent Case FileIT ServicesAgile Delivery · Multi-Application Support4 min read

Overhead view of a delivery team collaborating around laptops, notes and charts in a modern office

The inflection pointFour codebases, four cadences, one delivery problem

The customer needed reliable technical support that would let them seamlessly support their own end customers. That customer base was highly diverse, with multiple concurrent projects running in parallel. Each came with its own technology stack, release cadence and distinct business priorities, requiring a flexible, responsive and deeply collaborative support approach.

Travel

Travel-tracking platform

Undergoing a complete rebuild from a legacy codebase carrying performance bottlenecks, response issues and long-term maintainability problems.

Travel

Configurable flight-notification system

Designed to deliver highly accurate, rules-driven messaging based on dynamic conditions and individual customer requirements.

Logistics

Dock appointment & scheduling platform

Enabling seamless coordination of pick-ups, deliveries and end-to-end supply chain visibility across multiple partners.

E-commerce

High-traffic e-commerce and CMS platform

Powering online liquor retail operations in Australia, requiring scalability, reliability and a consistent user experience under load.

The customer needed a delivery partner who could act as a true extension of their team — embedded, accountable and capable of driving agile execution across a diverse, evolving application landscape. They required consistent quality across multiple codebases, the flexibility to adapt to changing requirements, and the ability to meet externally committed go-live timelines for ongoing modernization work.

The hard part was never building any one application. It was holding four of them to the same standard, at the same time.

The interventionOne embedded team, one repeatable framework

Adroitent placed a single embedded team across the portfolio and gave it a delivery framework that did not change from application to application. The cadence flexed; the standards did not.

An agile model built for shifting priorities

Adopted a hybrid Scrum model with daily backlog grooming, so priorities could move between applications without stalling the team
Applied three-point estimation at task level, alongside enforced coding standards
Ran UAT across every application in the portfolio, not only the ones nearing release

Time-boxed modernization, delivered in parallel

Each project was scoped end to end, from planning through release, on an agile overlapping-phase timeline
Those timelines were built to hold against the customer's own externally committed go-live dates

Governance the customer could see

Daily stand-ups kept work synchronized before issues ever reached the customer
Weekly management reviews tracked risk, with status visible in JIRA in real time rather than in a periodic report
The result was a consistent, auditable view of progress across every work stream

The game changer

QA discipline that scaled across four codebases

Every check-in required a QA test request — no exceptions by application
Every change set went through code review before it moved forward
Continuous regression testing stayed in place throughout, not just before releases
This consistency let one team support four live, unrelated applications without quality drifting on any of them

QA per check-inMandatory code reviewContinuous regressionPortfolio-wide UAT

By the numbers

Live applications supported

Embedded delivery team

Industries served in parallel

Quality drift across codebases

The payoffFrom portfolio strain to a reusable model

Optimized portfolio delivery: Four live applications across different domains were supported by a single embedded team, reducing the need for separate pods, separate governance and separate QA.
Improved quality and velocity: Concurrent delivery was sustained across all four applications without compromising quality or delivery speed.
Reduced maintenance burden: Reliability issues and accumulated technical debt were addressed, creating a scalable and sustainable foundation across the portfolio.
Enabled platform modernization: Modernization was delivered on time, reducing migration risk and protecting business continuity.
Created a reusable delivery model: A repeatable framework covering grooming, code review, regression testing and JIRA visibility now extends to future engagements.

The stack behind itTools & technology

Build

.NETMVC patternSQL

Delivery & governance

TFS — code repositoryJIRA — requirements & acceptance criteriaConfluence — user stories & project docsVisio — design

This engagement was delivered as part of Adroitent's Software Engineering Services practice.

Good to knowFrequently asked questions

What is an embedded delivery team, and how does it differ from staff augmentation?

An embedded delivery team operates as an extension of the customer's own organization, owning outcomes across planning, build, QA and release rather than filling individual seats. Staff augmentation supplies people who work under the customer's process and management. An embedded team brings its own delivery framework, governance and accountability, which is what makes it viable to support several unrelated applications at once.

How do you maintain consistent quality across multiple concurrent applications?

Consistency comes from making quality gates mandatory rather than release-dependent. Every check-in raises a QA test request, every change set passes code review before it moves forward, and regression testing runs continuously instead of only ahead of a release. Because the same gates apply to every codebase, quality does not depend on which application a developer happened to be working in that week.

What is a hybrid Scrum model with daily backlog grooming?

A hybrid Scrum model keeps Scrum's sprint cadence, ceremonies and estimation while borrowing continuous-flow practices for work that cannot wait for the next sprint boundary. Grooming the backlog daily rather than once per sprint lets priorities shift between applications without stalling a team, which matters when several customers set their own release cadences.

What is three-point estimation and why apply it at task level?

Three-point estimation captures an optimistic, most-likely and pessimistic figure for each item and derives a weighted estimate from the three. Applying it at task level rather than story level exposes uncertainty early and produces forecasts reliable enough to commit to externally, which is essential when go-live dates have already been promised to the customer's own customers.

Scale your portfolio without scaling the overhead.

One embedded team, one framework, and the same standard on every codebase.

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