What we have learned along the way
No news items, but in-depth pieces on legacy integration, AI in production and the choices that make or break a project. Written by the people who build it.
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Latest articles
When Laravel solves integration bottlenecks and when it doesn’t
Analysis of Laravel as an integration platform: when it solves bottlenecks and when it only shifts them.
Phased Laravel implementation for AI business software
Learn how Laravel offers a phased approach to AI business software, reducing risks and increasing ROI.
A scorecard for comparing AI vendors by collaboration model
Learn how to compare AI vendors by collaboration models to improve integration and operational fit.
When a quick legacy extension is safer than a new integration layer during a scaling spike
Examine the trade-offs between quick legacy extensions and new integration layers during scaling under pressure.
What to include in an AI workflow modernization ROI model
Explore how AI workflow modernization can improve ROI by replacing manual processes with AI solutions. Focus on costs and risks.
Who is responsible for recovery when a Laravel application fails?
Explore incident ownership in multi-vendor Laravel environments and how SIAM offers a solution.
Legacy BI Proof of Concept: Native Connectors vs. Custom Laravel Integration
Compare native connectors and a custom Laravel integration layer for a legacy BI proof of concept. Discover the pros and cons.
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Tell us which process takes the most manual work. We will tell you honestly whether AI is the solution for it, or whether something else needs to happen first. That advice is free, even if you decide not to continue with us.