How RadixTrie turned right sizing approvals from days into minutes

A large enterprise client hit an unexpected cost shock after a major licensing change in their virtualisation stack. Overnight, the pricing model shifted and the bill followed the most expensive metric. They were suddenly being charged on their full virtual estate rather than the physical footprint. At the start, the environment looked like this: 42,000 physical cores supporting 116,000 virtual cores. The mandate was clear: identify unused CPU, right size aggressively, and prove that every licensed core was earning its keep.

The right sizing work itself was achievable. The approvals process was not. The workflow depended on manual outreach to hundreds of application owners. Each owner needed a tailored recommendation pack, downtime detail, and a yes or no before any change could happen. Two things broke the pace: Email fatigue: Owners received complex tables and long explanations, often buried in threads. Low response rates No reply meant no action. The programme stalled. One project lead summed it up simply: “It was a nightmare trying to get people to read and respond. Without approval, we couldn’t move forward.”

Instead of pushing harder, the team removed friction. They created an automated approval engine using SQL Server and HTML email automation that generated personalised emails at scale. Each email was built to be: clear, credible, and instantly actionable. What the email included A tailored recommendation table per application Embedded visuals for quick scanning A dynamic subject line with the application name for traceability All communication logged for transparency and audit What made it work The email included one click actions that turned “work” into “a quick decision”: Approve to generate a pre filled reply with approval language Open Teams chat to start a thread with the right people included Contact the project lead to remove back and forth The messages were also sent from a trusted internal sender, which lifted credibility and improved follow through.

This is where the change became measurable. Results at a glance

A project lead put it plainly: “We went from days to minutes. It freed us up to focus on delivery and value rather than admin.”

This was not just automation. It was behaviour design. Less cognitive load: Owners did not need to interpret a spreadsheet, they could scan and act. Faster yes path: Approvals were easier than ignoring the email. More human collaboration: Teams chat made it simple to resolve uncertainty in real time. Operational trust: Everything was logged, visible, and traceable.

Automation does not replace people, it amplifies them. Less admin creates more space for judgement, collaboration, and delivery. Clarity beats volume. A shorter email with clear actions wins over more detail. Trust is a lever. Sender credibility and professional presentation change response rates.

Related reading: The Database Health Check: What a Good One Covers and What It Finds · PostgreSQL Support in South Africa: Running Postgres in Production Without the Guesswork · Managed DBA Services Explained: What You Hand Over, What You Keep