Case Study
How Better Software Built An Agentic Investigation Platform For Mission-Critical Operations
A durable, evidence-first foundation for automated root-cause analysis, designed to coordinate multiple data sources, handle failure gracefully, and support high-stakes decisions under pressure.
Type
Agentic AI / Root-Cause Analysis Platform
Platform
Web
Industry
E-commerce Operations / Mission-Critical Systems
The Challenge
Speed vs. stability.
When high-impact issues occurred, teams faced a familiar trade-off: move fast or stay accurate. Manual investigation workflows and single-prompt AI tools introduced hidden risks:
Evidence scattered across multiple systems
Conflicting signals across systems with no clear narrative
Investigation restarts caused by partial failures or timeouts
The real issue was lack of structure under pressure. The client needed an approach that could investigate reliably when signals conflicted and stakes were high.
Our Approach
The Solution
Better Software partnered with the client to build an agentic investigation platform focused on coordination over prompts. A central agent sequenced evidence collection and analysis, while specialized agents handled data sources to deliver defensible conclusions.
01
Agent-based coordination
A central investigation agent orchestrates specialised subagents, each responsible for a narrow data source or analytical task.
02
Explicit investigation flow
Evidence collection, normalisation, timeline construction, and hypothesis ranking occur as separate, observable steps.
03
Durable execution
Investigations are resilient to partial failures, supporting retries, resumable runs, and preserved state.
04
Production-grade discipline
Environment parity, configuration management, structured logging, and quality gates ensure predictable behaviour under load.
Takeaways
Lessons for other founders
01
Agentic systems require structure, not just prompts.
02
Coordination and durability matter more than model size.
03
Trust is built through explainable steps, not confident answers.
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