Key Takeaways AI adoption alone does not prove ROI. Teams must measure how AI coding tools impact development speed, software quality, engineering capacity, and overall costs. Developer time saved must translate into business value. Tracking recovered hours,...
Automation and AI
AI Has a Cost. Here’s How We Prove the Benefit.
Key Takeaways AI ROI starts with a measurable business problem. Companies should define what they want AI to improve before investing in tools or launching pilots. AI value should be measured across speed, quality, cost, and capacity. These four areas help connect AI...
Automating PDM and Design Workflows with Custom Scripting
Register NowYou’ll be taken to a secure registration page to complete your sign-up.By submitting this form, I acknowledge receipt of SPK and Associates' Privacy Policy.Mechanical and design engineers spend valuable time on repetitive administrative tasks such as...
What Is an AI Agent Really?
Key Takeaways AI agents go beyond generating responses. They can gather context, use tools, take actions, and work through multiple steps toward a defined goal. A model provides intelligence, while an agent puts that intelligence to work. Agents combine models with...
What Is a Forward Deployed Engineer? And Why Every Enterprise Needs One
Key Takeaways AI pilots often struggle in production because real enterprise environments are complex. Legacy systems, fragmented data, security requirements, and compliance constraints can quickly expose the limits of a successful demo. Forward Deployed Engineers...
AI Is Changing Simulation. Is Your Engineering Infrastructure Ready?
Key Takeaways: AI is changing simulation from a late-stage validation step into a continuous part of product development, helping teams explore more designs, automate setup, and support predictive digital twins. AI-driven simulation still depends on high-performance...
Using Atlassian Rovo to Connect AI, Knowledge, and Workflows
Key Takeaways Rovo gives AI the organizational context generic chatbots often lack. It connects people, projects, documents, and workflows through the Atlassian Teamwork Graph. Teams can find project context faster. Rovo pulls together information from Jira,...
The Total Economic Impactâ„¢ Of GitLab Duo Agent Platform
The GitLab Duo Agent Platform is changing the game for software developers by providing a place for AI agents to help with planning, coding, security analysis, and analytics. While help from AI sounds great, ROI often falls short due to teams misusing it or failing to...
Migrating from Freshservice and Scaling with Atlassian AI
Key Takeaways JSM scales beyond basic ticketing: Jira Service Management connects IT, customer support, operations, and development on one platform, reducing the silos that can slow growing teams. Native DevOps alignment speeds resolution: JSM connects incidents and...
Applying AI Across the Digital Thread for Real Business Impact
Key Takeaways AI needs lifecycle context to deliver real value: Standalone AI tools often struggle because they cannot see how requirements, designs, code, tests, and quality data connect across the product lifecycle. The digital thread provides the missing context:...
GitLab Orbit: Connecting the Software Lifecycle for Smarter AI Agents
Key Takeaways AI agents need lifecycle context, not just code access: Without visibility into dependencies, pipelines, security scans, and production signals, agents are more likely to generate incorrect or incomplete changes. GitLab Orbit creates a live context graph...
How AI Agents Will Change Product Development Teams
Introduction Michael Roberts: Hello, and welcome back to another SPK & Associates vlog. My name is Michael Roberts. I'm the Vice President of Sales and Marketing here at SPK & Associates, and today we have a special guest. I'm joined by SPK's CEO and...












