Customer Impact

Merito accelerates Inflectra's AI-powered QA transformation with Claude

Inflectra partnered with Merito to deploy Anthropic Claude on Amazon Bedrock, accelerating AI-powered QA, test automation, compliance assurance and software development while reducing test-script creation time by up to 90%.

QAAIAutomation
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Merito accelerates Inflectra's AI-powered QA transformation with Claude

Inflectra, working with Merito, a software quality assurance and application lifecycle management company, deployed Anthropic Claude models across its flagship products and internal R&D workflows. Merito as their AI systems integrator helped designed a multi-model Claude architecture on Amazon Bedrock that now powers automated testing in Rapise, AI assurance in SureWire, and internal engineering workflows in Amazon Kiro, cutting test-script creation time by as much as 90%.

With Merito and Claude, Inflectra was able to:

  • Deploy Claude Sonnet, Haiku, and Opus across Rapise, SureWire, and internal R&D, all running inside Inflectra's own Amazon Bedrock accounts
  • Cut test script creation in Rapise from hours of manual scripting to seconds, using Claude Haiku for high-speed, cost-efficient generation
  • Replace manual, error-prone compliance auditing with automated risk and assurance mapping in SureWire, powered by Claude Opus and Sonnet
  • Lift internal developer velocity 30%+ on code generation and documentation through Amazon Kiro
  • Build a task-complexity-based model routing layer that holds sub-second latency while optimizing cost-per-token across every product surface
  • Use Claude's text, visual processing, and computer-use capabilities to bring AI assurance to non-deterministic, agentic systems, not just traditional scripted software

The Challenge:

Inflectra needed to rapidly embed advanced, enterprise-grade AI capabilities into its flagship products SpiraPlan, Rapise, and SureWire, to keep pace with rising demand for AI-driven software development lifecycle (SDLC) management. The company also wanted to inject AI efficiencies into its own internal development workflows via Amazon Kiro.

The complexity sat beneath the surface. Infusing three distinct Claude models: Sonnet, Haiku, and Opus, across a mix of legacy and modern architectures required specialized prompt engineering, model-routing optimization, and integration work that Inflectra needed done quickly and without pulling engineers off the core product roadmap.

The Solution:

Merito stepped in as Inflectra's expert systems integrator and AI services partner, bringing deep hands-on experience with Anthropic's model ecosystem. Rather than treating Claude as a single drop-in model, Merito architected a routing layer that sends each task to the most efficient model for its complexity: Haiku for high-speed, cost-effective generation; Opus and Sonnet for the reasoning-heavy work of AI assurance.

The Outcome:

The collaboration delivered measurable improvements in software delivery speed, test automation accuracy, and internal developer velocity across Inflectra's product suite.

Metric

Before Merito & Anthropic

After Merito & Anthropic

Test automation generation (Rapise)

Manual script creation taking hours

Claude Haiku generates test scripts in seconds, roughly 90% time savings

AI assurance & compliance (SureWire)

Manual, error-prone compliance auditing

Automated, high-accuracy risk and assurance mapping via Claude Opus and Sonnet

Internal dev velocity (Amazon Kiro)

Standard sprint cycles for product R&D

30%+ boost in internal code generation and documentation using Claude

Model efficiency & cost

Unoptimized API usage and latency risk

Multi-model routing optimizing cost-per-token while holding sub-second latency

 

Taken together, the engagement let Inflectra move from manual, labor-intensive QA and compliance processes to an AI-native architecture that scales with demand, without diverting its own engineers from the product roadmap.

Products and services used

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