Our SaaS Contract Renewal Came In 18% Higher. We Paid It. Then We Built the Exit Plan.

2026-03-25 · Source: HackerNoon · Field: Technology & Digital — Software Development & Engineering, Cloud Computing & IT Infrastructure, Operations & Process Management · Depth: Intermediate, quick

Summary

Dinesh Kumar Elumalai, a Software Architect at Honda, details his experience with a SaaS contract renewal that increased by 18%, leading his team to develop an "exit plan." The article, published on March 25th, 2026, explores the strategic decision-making process involved when faced with escalating SaaS costs. It touches upon themes of cost optimization, software architecture, and the perennial "build vs. buy" dilemma in enterprise software development. The author, with 16+ years in enterprise software, cloud architecture, ML, and microservices, frames this as a review of a product, company, or service, emphasizing the importance of proactive planning to mitigate vendor lock-in and manage technical debt.

Key takeaway

For VPs of Engineering or Data grappling with rising SaaS expenditures, your teams should proactively develop an "exit plan" for critical SaaS dependencies. This involves a thorough build vs. buy analysis and strategic architectural planning to avoid vendor lock-in, even if you initially accept a higher renewal. Implementing such a plan ensures long-term cost control and architectural flexibility.

Key insights

Proactive planning is crucial to avoid vendor lock-in and manage escalating SaaS costs.

Principles

• Anticipate SaaS cost increases.
• Prioritize vendor independence.
• Evaluate build vs. buy regularly.

Method

When SaaS renewals increase significantly, initiate an "exit plan" by evaluating internal build capabilities against external vendor costs, focusing on long-term architectural independence.

In practice

• Review SaaS contracts annually.
• Develop a "build-it-yourself" option.
• Assess technical debt impact.

Topics

• SaaS Management
• Cost Optimization
• Build vs Buy
• Software Architecture
• Technical Debt

Best for: Entrepreneur, VP of Engineering/Data, Director of AI/ML, Software Engineer, CTO, DevOps Engineer

Related on AIssential

• Locked, stocked, and losing budget: AI vendor lock-in bites back — AI vendor lock-in and rising costs are challenging enterprise AI adoption, debunking executive assumptions about easy model switching.
• Why Telegram Mini Apps have become the optimal ecosystem for launching AI SaaS products — Embedding AI tools directly into existing workflows via platforms like Telegram Mini Apps significantly boosts retention and productivity.
• From SaaS to AI-First: How Companies Are Reshaping Innovation — AI is accelerating revenue growth and collapsing costs, but the "SaaS Apocalypse" is largely overstated for complex enterprise solutions.
• How Commerce Leaders Avoid Renewal Traps and Vendor Drag - with David Cost of Rainbow Apparel — AI-enabled in-house development fundamentally shifts enterprise software vendor power dynamics, favoring buyers with credible build alternatives.
• Your LLM bill is not your infra bill: a budgeting catalog for AI-feature SaaS — AI costs are a metered utility, not fixed infrastructure, requiring proactive behavioral budgeting to prevent unexpected spikes.
• The Great Platform Reckoning: Will A System Of Record Save SaaS? — AI agents are dismantling traditional software moats, forcing a re-evaluation of tech stacks as strategic risk.

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by HackerNoon.