Delivery Process Transformation for GIS Platform: From Ad-Hoc Support to Resilient Delivery Flow

DELIVERY PROCESS TRANSFORMATION, GIS

Delivery Process Transformation for GIS Platform: From Ad-Hoc Support to Resilient Delivery Flow

Continually shifting priorities, inaccurate estimates, and inexcusably slow releases held the entire team back. We entirely reinvented workflows: created a clear backlog, visualized progress in Kanban, and automated metrics and releases.

Reduced hotfix release time by

70%

from weeks to hours

Achieved backlog visibility of

100%

across all tasks

Increased estimation accuracy by

40%

clear Definition-of-Ready/Done

Project overview:

Client

GIS platform

Location

USA

Company size

150 employees

Industry

Mapping & workforce management

Services
IconValue‑stream mapping & process re‑designIconScrum & Kanban coaching (from time-boxed to flow-based)IconWorkflow automation (Jira & Helix Backlog)IconMetrics dashboards (cycle time, WIP, version‑support load)IconChange‑management workshops & onboarding materials
Solution

Delivery-Process Transformation: backlog, Kanban, automated metrics & release tooling

Business Challenge

Have you ever faced

a poor development process impeding planning and deliveries?

The client encountered a persistent issue: a single bug could take weeks to reach production. Because of misaligned release processes, the team had to wait for the next scheduled “bundle,” even if the fix was ready. This led to unmet commitments, poor client relationships, and internal frustration.

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No Backlog – Stuck Planning

The team chaotically reacted to client’s complaints, leaving deadlines and strategic tasks exposed.

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Frequently Changing Priorities

The regular change of focus by managers was leading to missed deadlines.

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Version Legacy Debt

Multiplying issues across versions led to continual repeated bug fixes.

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Vague Tickets – Poor Estimations

Lack of planning, missed deadlines, and dissatisfaction on both sides.

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Slow, Batch Releases

All fixes, big or small, wait until updates are bundled together, postponing releases for weeks.

Discovery & Planning phase

1

Conducted workshops to plan the entire flow: complaint, delivery, and release

2

Unveiled 5 gaps: missing backlog, vague Definition of Ready/Done, mixed version tracking, no WIP limits, manual release signing

3

Rebuilt workflow with a priority to a Kanban system vs. Scrum for focus changes and per ticket releases

4

Designed a swim-lane board to track work across the key phases from backlog to release

We Conduct a Thorough Audit to Modernize Your Systems, Addressing the Issue at the Root

We’ll address every pain, from brittle code to the lack of innovation culture, to grant you scalability and control

Arrange an Expert Consultation //

Project In Detail

During this phase, we gathered all open issues into one place, removed duplicates, and provided a Definition-of-Ready template. This made every task visible, clearly prioritized, and polished for smooth delivery.

We configured the board with WIP limits and swim-lanes for each product version. This enabled flexible reprioritization and minimized context switching, allowing the team to retain focus and efficiency.

By implementing one-ticket CI/CD, we enabled every move from “Release Prep” to “Done” to trigger an automatic build and deployment. This cut hotfix lead times from weeks to just hours.

We created Time-in-Status fields, cycle-time charts, and multi-version workload reports. This gave leaders distinct, data-backed insights to direct management decisions.

By adding detailed checklists to Jira and enforcing them through automation, we improved estimation accuracy and reduced the number of tasks needing rework or reopening

Legacy / “As‑Is”

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No structured backlog (email / chat complaints)

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Multiple live product versions tracked in spreadsheets

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Manual ticket priorities changing weekly

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Release bundles every few weeks

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High‑level, vague tickets

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N/A

Modern Alternative

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Single, groomed Jira backlog enabled planning & forecasting

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Version labels & filters in Jira reduced duplicate bug reports

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Drag‑and‑drop Kanban WIP Lane allowed for visual, real‑time reprioritization

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One‑ticket continuous delivery pipeline for faster customer feedback

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The Definition‑of‑Ready checklist & story templates support accurate estimates

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Automated “Time in Status” scripts create the baseline for flow‑metrics KPI

The Challenges We Faced During Workflow Transformation

From Deadlines to Continual Deliveries

We faced the need for a cultural shift inside the client’s team. By coaching and process change, we transformed workflows from rigid date-driven commitments to flow-based throughput.

Multi-Version Support Debt Removal

Before starting to modernize, we had to reveal and fight version debt. This caused a rush in implementing critical fixes that kept the system from breaking down.

Eliminating Board Misuse

Early over-the-limit WIP was fixed with coaching and daily flow reviews, boosting the delivery process.

Results

Faster Time-to-Value

Before the transformation, the defect often took weeks to reach production. We established the one‑ticket continuous‑delivery flow, enabling the same-day fixes and cutting the end-to-end lead time by 60-70%

  • Smooth migration to the cloud with no disruption to business operations.
  • A modern, scalable infrastructure ready to support future growth.
  • Reduced dependency on manual processes through automation.
  • Improved customer experience thanks to AI-driven personalization.
  • Optimized infrastructure management leading to better cost efficiency.
  • Stronger security posture aligned with industry standards.
result

On-Demand Releases

We optimized releases, removing the need to wait for a bundle sprint, which took 2 weeks or more. The release becomes possible right after the ticket passes QA

Predictable Delivery Commitments

Addressed the issue of missed deadlines by introducing clear Definition‑of‑Ready and Done checklists

Transparent Priority Changes 

Made planning more organized through Kanban implementation. Priority shifts are easy to see and process. There’s no need for re‑planning or re‑estimating abandoned sprint goals

Reduced Duplicate Bugs Across Versions

Enabled version labelling and filters that stopped multiple repeated fixes across versions. Fixes are fewer and easier to spot

More Accurate Estimates & Less Re-work

Detailed acceptance criteria improved planning and reduced the number of unforeseen tasks, saving QA and developer efforts

Key Process Improvements

  • We created a clear backlog, transforming chaotic tasks into predictable and visible work.
  • Kanban with WIP limits adapted to changing focus and removed sprint churn.
  • Per-ticket continuous delivery cut hotfix lead times from weeks to hours.
  • Clearer scope and planning came from Definition-of-Ready/Done checklists, while automated dashboards and a standardized versioning strategy improved control.

100%

work visibility in a unified backlog

90%

increase in hot-fix 
speed

40%

higher estimation accuracy

0

conflicts of duplicate versions

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    Corsac Technologies Corporation

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