4.8/5 ★★★★★Engineering insights on custom software, AI systems, eCommerce platforms, and enterprise development. Written by the people who build this stuff.
55 posts · Page 5 of 5
Agentic AI handles exception-heavy, judgment-intensive processes that break traditional automation. Traditional RPA and workflow automation remain the right choice for deterministic, rule-bound processes. Here is the decision framework.
An AI call quality agent that monitors 100% of sales calls in real time, scoring against quality criteria and generating coaching summaries. Here is how we built it, what it cost, and what we would do differently.
AI agents have replaced or augmented five distinct business processes across Madgeek's client base — call quality monitoring, sales lead qualification, procurement approvals, cost estimation, and CRM triage — with measurable outcomes in each case.
An AI agent is software that completes multi-step tasks autonomously — using tools, making decisions, and taking actions without a human at each step. Here is what that means in practice, with three real production examples.
SAP S/4HANA implementation for a mid-market manufacturer costs $500K-$2M and takes 18-36 months. A custom ERP for the same operation costs $50K-$200K and deploys in 16-24 weeks. Here is when each path makes sense.
An offshore development center (ODC) is a dedicated engineering team in another country that works exclusively on your projects — embedded in your tools, workflow, and communication cadence. Here is how it works, what it costs, and when it makes sense.
India leads Vietnam in software development on talent depth, English proficiency, AI/ML concentration, and enterprise track record. Vietnam holds a marginal cost advantage in some tiers. Here is the full comparison with real numbers.
