DELIVERY · AUTOMATION · APPLIED AI

From delivery challenges to
smarter ways of working.

Practical insights, automation use cases, AI applications, and reusable tools shaped by hands-on experience across enterprise delivery environments.

Agile Delivery · Automation · AI Adoption · Continuous Improvement

Explore My Work Explore Flow Craft The Applied AI Browse Toolkit
Overview

About

Welcome

Welcome to my portfolio. My work and interests centre on Agile delivery, AI adoption, workflow automation and continuous improvement.

Through this space, I share practical ideas, experiences and use cases related to:

  • Applying AI within real delivery workflows
  • Strengthening Agile ways of working
  • Improving multi-team delivery and collaboration
  • Eliminating repetitive manual effort through automation
  • Using data and metrics to support better decisions
  • Building a culture of continuous learning and improvement

About Me

I am an Agile delivery professional with 14+ years of IT experience, including seven years as a Scrum Master and Agile Delivery Lead across banking, cards, payments and gaming.

My experience spans:

  • Agile transformation and team coaching
  • Multi-squad delivery coordination
  • Project and program-level planning
  • Stakeholder and leadership engagement
  • Risk, dependency and impediment management
  • Delivery governance and continuous improvement
  • AI-enabled reporting and workflow automation

In my Agile Lead role, I coordinate delivery across four squads, aligning priorities, capacity, milestones, risks and cross-team dependencies. I work closely with Product Owners, engineering leaders and stakeholders to strengthen delivery predictability, transparency and team ownership.

My SAFe experience includes supporting PI Planning across three teams, participating in Scrum of Scrums, resolving cross-team dependencies and enabling coordinated delivery at program level.

Flagship Initiatives

Some of the key initiatives I have led or contributed to include:

  • Led Agile Ways of Working workshops across 10 squads, receiving 90% positive feedback
  • Created the Delivery Disruptors framework to identify recurring systemic impediments and guide focused resolution
  • Built more than 15 Jira Automation and Power Automate workflows integrated with Microsoft Teams and Slack
  • Developed AI-enabled delivery dashboards to improve visibility into delivery health, blockers and dependencies
  • Automated service-health monitoring using Amazon Q Kiro
  • Supported Jira Cloud and Slack migrations through pillar-level enablement, adoption and ongoing support
  • Partnered with Jira specialists and administration teams to introduce nine Jira Data Center capabilities
  • Contributed to improved Jira governance, workflow standardisation and platform adoption through the Jira Community of Practice

Measurable Impact

My improvement initiatives have contributed to:

  • Up to 90% reduction in manual reporting and service-monitoring effort
  • 70% reduction in UAT defect backlog and closure time
  • 60% improvement in cross-team dependency and conflict resolution
  • Greater delivery transparency through automated dashboards and notifications
  • Faster identification and escalation of team-level and organisational impediments
  • Stronger collaboration among Product, Engineering, QA and stakeholder groups

Communities of Practice

I actively engage with Communities of Practice to exchange ideas, learn from practitioners and contribute to platform and process improvements.

My involvement includes:

  • Sharing delivery challenges and practical solutions
  • Collaborating with Jira specialists and administrators
  • Supporting workflow and governance improvements
  • Encouraging adoption of standardised practices
  • Contributing feedback from delivery teams
  • Helping translate recurring challenges into scalable solutions

I enjoy combining Agile practices, systems thinking, automation and AI to solve problems that extend beyond a single team.

Continuous Learning

I hold the following certifications:

Professional Scrum Master I
SAFe Scrum Master
SAFe Agilist
Certified Scrum Product Owner

I continue to expand my knowledge in:

  • AI-enabled software delivery
  • Project and program management
  • Business analysis
  • Payments and financial services
  • Workflow automation
  • Data-informed delivery management

What Drives Me

“What drives me most is helping teams move beyond simply being busy to delivering meaningful outcomes with clarity, collaboration and confidence.”

Focus Areas

Areas of Interest

Agile Delivery

Implementing iterative methodologies, adaptive planning, and collaborative practices to deliver meaningful value predictably and efficiently.

AI Adoption

Harnessing artificial intelligence tools and modern capabilities to augment decision-making, optimize outcomes, and accelerate day-to-day productivity.

Workflow Automation

Designing systematic, repeatable processes that reduce manual effort, prevent common bottlenecks, and ensure smooth operational consistency.

Continuous Improvement

Cultivating an ongoing cycle of reflection, feedback, and refinement to enhance quality, performance, and collaboration over time.

Work

Portfolio

Automation Library

Flow Craft

A curated library of real-world automation use cases built across Agile delivery, tooling, and team operations. Each flow is documented with the problem it solves, the technology stack, and how it works.

Explore by:
UC-01
Jira Automation Jira Smart Values Webhook Power Automate Microsoft Teams JSON

Automated Sprint Completion Summary

Problem

Sprint completion reporting required manually retrieving delivery metrics from Jira and communicating results to the team, creating repetitive effort and inconsistent reporting.

Automation

When a sprint completes, Jira Automation collects metrics, builds a JSON payload, and sends it via webhook to Power Automate — which formats and publishes the summary to Microsoft Teams.

UC-02
Jira Automation Webhook Power Automate Routing Logic Microsoft Teams JSON

Multi-Squad Dynamic Channel Routing

Problem

Multiple squads needed automation notifications delivered to their own Teams channels. Maintaining a separate flow per squad created duplication and growing maintenance overhead.

Automation

One shared Jira-to-Power-Automate integration uses Switch/Condition routing logic to identify the squad from the payload and dynamically deliver the notification to the correct Teams channel.

UC-03
Jira Automation Webhook Power Automate Adaptive Cards Microsoft Teams JSON

Ready-for-Rollout Notification

Problem

When work became ready for rollout, relevant people needed timely visibility without relying entirely on manual messages or checking Jira.

Automation

When a Jira issue transitions to "Ready for Rollout", Jira Automation sends a webhook to Power Automate, which formats and delivers a structured Teams notification with key issue details.

UC-04
Jira Automation Webhook Power Automate Microsoft Teams JSON

New Bug Alert Automation

Problem

Newly reported bugs had no automatic visibility. Teams depended on someone manually posting to a channel, meaning defects could sit unnoticed until the next standup or check-in.

Automation

When a Bug is created in Jira, Jira Automation validates the issue type, extracts key bug details, and sends a structured JSON payload via webhook to Power Automate, which formats and delivers an alert to Microsoft Teams.

UC-05
Power Automate Adaptive Cards Microsoft Teams JSON Webhook

Dynamic Microsoft Teams Adaptive Cards

Problem

Plain text automation notifications are difficult to scan and provide limited structure for operational information delivered to Microsoft Teams.

Automation

Power Automate receives a JSON payload from Jira via webhook, maps dynamic values, and constructs a structured Adaptive Card posted to Microsoft Teams — transforming raw data into a readable, actionable notification.

UC-06
Jira Automation Webhook Power Automate JSON

Jira to Power Automate Webhook Integration

Pattern

A technical deep-dive into the reusable integration pattern that underpins all Flow Craft automations — how Jira Automation triggers external workflows by sending structured data through a webhook.

Why it matters

Understanding this pattern enables any team to build reliable, scalable Jira-triggered automations without duplicating infrastructure — one architecture, many downstream actions.

UC-07
Slack Workflow Builder Scheduled Automation
🤝 Collaboration Automation

Automated Team Leave Planner

Problem

Collecting team leave plans through repeated manual messages makes coordination cumbersome and responses difficult to consolidate.

Automation

A scheduled Slack Workflow Builder automation asks team members for their leave information on a recurring basis and captures structured responses in a shared location for team visibility.

UC-08
Jira Automation Jira Query Dashboard / Reporting

Automated Sprint Review Reporting

Problem

Sprint Review preparation can require gathering delivery information from multiple Jira issues and manually organising statistics and completed work — creating overhead before every review.

Approach

Use Jira data and automation to collect relevant sprint information, aggregate delivery metrics, and present them in a structured Sprint Review report for stakeholder visibility.

AI

The Applied AI

Practical applications of AI across delivery, software workflows and operations — exploring where AI can augment analysis, automation and decision-making while keeping human judgement in the loop.

Explore by:
AI-01 Use Case
LLMs Jira

AI-Powered Sprint Insights from Jira

Problem / Opportunity

Extracting meaningful narrative insights from raw sprint data is time-consuming and often misses subtle delivery patterns.

AI Application

Using AI to analyse structured Jira data exports, identify trends, and generate plain-language summaries of sprint health to support Scrum Masters and Delivery Leads.

AI-02 Implementation
LLMs Jira

AI-Enabled Sprint Review & Retrospective Insights

Problem / Opportunity

Sprint reviews and retrospectives can lack data-backed focus, leading to repetitive discussions and missed systemic issues.

AI Application

Applying AI to summarise sprint achievements, surface qualitative themes from retro boards, and suggest data-informed continuous improvement actions.

AI-03 Experiment
LLMs

AI-Assisted Service Health Monitoring

Problem / Opportunity

Operations teams face alert fatigue and struggle to quickly correlate complex system events during major incidents.

AI Application

Experimenting with AI to parse operational logs, identify root-cause patterns, and draft preliminary incident summaries for human review.

AI-04 Pattern
LLMs Kiro

AI-Assisted Automation Development

Problem / Opportunity

Developing complex JSON payloads and API integrations manually slows down the creation of new automation workflows.

AI Application

Utilising AI tools like Amazon Q (Kiro) to rapidly prototype JSON schemas, write boilerplate code, and troubleshoot integration errors during workflow development.

AI-05 Framework
AI Agents MCP APIs

AI Agents + MCP Tool Connectivity

Problem / Opportunity

Stand-alone LLMs lack context regarding internal tools and real-time project states, limiting their effectiveness in delivery environments.

AI Application

Designing frameworks to connect AI agents with workplace systems via Model Context Protocol (MCP) and APIs, extending their reasoning to actual project data.

AI-06 Framework
LLMs

AI in the SDLC — Human + AI Control Model

Problem / Opportunity

Unregulated AI use in software development risks introducing quality issues and compliance breaches without proper oversight.

AI Application

Defining a control framework that safely integrates AI at key SDLC stages, ensuring AI augments creation while humans remain accountable for review and approval.

Tools

Toolkit

Practical templates, canvases, checklists and reference resources for delivery, automation and applied AI.

Explore by:
TK-01 Canvas

Team Charter Canvas

A structured canvas for aligning teams on purpose, ways of working, and operational boundaries.

TK-02 Checklist

Sprint Health Check

A practical checklist for assessing sprint predictability, flow, and team health metrics.

TK-03 Reference

Flow Metrics Cheat Sheet

A quick reference guide for understanding Cycle Time, Lead Time, Throughput, and WIP.

TK-04 Canvas

Automation Design Canvas

A template for mapping out triggers, conditions, and actions before building automation workflows.

TK-05 Reference

Jira → Webhook → Power Automate Reference Architecture

A reference architecture for establishing event-driven integrations between Jira and Office 365.

TK-06 Template

JSON / Webhook Payload Starter Template

Reusable JSON payload structures for common webhook integrations and Adaptive Cards.

TK-07 Canvas

AI Use-Case Canvas

A structured approach to evaluating the viability, risks, and human-in-the-loop requirements for new AI applications.

TK-08 Checklist

Human-in-the-Loop & AI Guardrails Checklist

An essential checklist for ensuring AI systems maintain proper oversight and do not autonomously perform critical actions.

About & Communication

Profile & Connect

Laxman Prasad Kuppili

Laxman Prasad Kuppili

Agile Delivery Lead, AI Agile Transformation

PSM-I, SAFe Agilist, SAFe SM, CSPO

Dedicated to exploring and applying modern approaches in Agile delivery, artificial intelligence adoption, workflow automation, and continuous improvement.

Get in Touch