AI Workflow Adoption for Product & Delivery TeamsMohammed Gaber
The problem: your product, design, engineering, and QA teams want to use AI tools, but adoption is scattered and lacks shared standards.
What I do: I introduce practical AI tools and agent workflows across teams, connect them to the tools you already use, and set guidelines so quality and security stay under control. At Tritecs, I introduced AI tools and agent workflows across departments, including custom skills for complete Azure DevOps user stories, business analysis, gap identification, and prompt improvement.
Typical scope
Review of current product and delivery workflows
AI-assisted requirements, user stories, and test case generation
Connecting AI assistants to tools such as Azure DevOps, Jira, Asana, Figma, and Xmind
Design enablement with Figma Make and UXPilot
Development guidelines for Cursor, Claude Code, and Antigravity, including code review, peer review, and security checks
How we work: start with one team and one workflow, confirm it works for your team, then extend it across departments.
Background: 17+ years in software and product delivery, with hands-on AI-assisted development (vibe coding).
Contact for pricing
Duration1 week
Tags
AI Agents
Azure DevOps
Claude Code
Cursor
Jira
AI Automation
Product Manager
Prompt Engineer
Service provided by
Mohammed Gaber Kom Ad Dikah, Egypt
AI Workflow Adoption for Product & Delivery TeamsMohammed Gaber
Contact for pricing
Duration1 week
Tags
AI Agents
Azure DevOps
Claude Code
Cursor
Jira
AI Automation
Product Manager
Prompt Engineer
The problem: your product, design, engineering, and QA teams want to use AI tools, but adoption is scattered and lacks shared standards.
What I do: I introduce practical AI tools and agent workflows across teams, connect them to the tools you already use, and set guidelines so quality and security stay under control. At Tritecs, I introduced AI tools and agent workflows across departments, including custom skills for complete Azure DevOps user stories, business analysis, gap identification, and prompt improvement.
Typical scope
Review of current product and delivery workflows
AI-assisted requirements, user stories, and test case generation
Connecting AI assistants to tools such as Azure DevOps, Jira, Asana, Figma, and Xmind
Design enablement with Figma Make and UXPilot
Development guidelines for Cursor, Claude Code, and Antigravity, including code review, peer review, and security checks
How we work: start with one team and one workflow, confirm it works for your team, then extend it across departments.
Background: 17+ years in software and product delivery, with hands-on AI-assisted development (vibe coding).
Contact for pricing