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Scaling an EdTech platform with AI and cost optimization

This case shows how I approach situations where platform stability, delivery speed, AI adoption, and cost reduction all matter at the same time without resorting to a disruptive rewrite.

Primary outcome

Support cost reduced by 20%.

Additional outcomes

  • Infrastructure cost reduced by 30%.
  • Time-to-market improved by 3-4x.
01

Context

A large EdTech platform with significant traffic, complex infrastructure, and a large user base was going through major organizational and technical changes.

02

Challenge

The challenge was to preserve platform stability, accelerate delivery, adopt AI, and reduce cost without a disruptive platform rewrite.

03

What I did

Maintained a platform serving 1M+ users during a period of major change.
Introduced AI into support and engineering workflows.
Reduced infrastructure cost and dependency on foreign services.
Accelerated delivery through clearer technical organization and tooling.
04

What mattered in this engagement

  • Preserve platform reliability during organizational change.
  • Identify practical AI adoption points rather than performative experimentation.
  • Reduce cost through architecture and tooling improvements instead of lowering quality.
Fractional CTOAI TransformationArchitecture Audit

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Michael Ledin

About me

Michael Ledin

A CTO with 16+ years of experience. I help product companies where they need technical strategy, architecture, team leadership, and practical AI adoption.

Fractional CTO / AI and architecture consultant

  • Fractional CTO and technical leadership.
  • AI transformation across product, support, and engineering.
  • Architecture modernization, reliability, and observability.
  • Infrastructure cost optimization.
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