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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.
Go Back
Type
Agentic AI / Root-Cause Analysis Platform
Type
Agentic AI / Root-Cause Analysis Platform
Type
Agentic AI / Root-Cause Analysis Platform
Platform
Web
Platform
Web
Platform
Web
Industry
E-commerce Operations / Mission-Critical Systems
Industry
E-commerce Operations / Mission-Critical Systems
Industry
E-commerce Operations / Mission-Critical Systems
Agentic AI
The client runs a revenue-critical, client-facing platform where account issues directly impact performance and trust. Teams investigate complex problems using data from multiple external systems, requiring an investigation platform that remains reliable and explainable
Key Results
Beyond immediate resolution speed, this foundation improved how teams investigate, explain, and prevent high-impact operational issues.
Beyond the immediate metrics, this foundation secured Kizuna's market position
and unlocked long-term, unhindered growth.
Faster Investigations
Evidence was gathered and structured automatically, reducing time spent assembling context.
Faster Investigations
Evidence was gathered and structured automatically, reducing time spent assembling context.
Faster Investigations
Evidence was gathered and structured automatically, reducing time spent assembling context.
Lower Cognitive Load
Teams focused on decisions instead of manually reconciling conflicting signals.
Lower Cognitive Load
Teams focused on decisions instead of manually reconciling conflicting signals.
Lower Cognitive Load
Teams focused on decisions instead of manually reconciling conflicting signals.
Defensible Explanations
Investigation outputs were clear enough for client and stakeholder review.
Defensible Explanations
Investigation outputs were clear enough for client and stakeholder review.
Defensible Explanations
Investigation outputs were clear enough for client and stakeholder review.
Scalable by Design
New data sources added without reworking core investigation logic.
Scalable by Design
New data sources added without reworking core investigation logic.
Scalable by Design
New data sources added without reworking core investigation logic.
The Challenge
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
Evidence scattered across multiple systems
Evidence scattered across multiple systems
Conflicting signals across systems with no clear narrative
Conflicting signals across systems with no clear narrative
Conflicting signals across systems with no clear narrative
Investigation restarts caused by partial failures or timeouts
Investigation restarts caused by partial failures or timeouts
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.
Technology Used
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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. AI.
Our Approach
Agent-based coordination
A central investigation agent orchestrates specialised subagents, each responsible for a narrow data source or analytical task.
Agent-based coordination
A central investigation agent orchestrates specialised subagents, each responsible for a narrow data source or analytical task.
Agent-based coordination
A central investigation agent orchestrates specialised subagents, each responsible for a narrow data source or analytical task.
Explicit investigation flow
Evidence collection, normalisation, timeline construction, and hypothesis ranking occur as separate, observable steps.
Explicit investigation flow
Evidence collection, normalisation, timeline construction, and hypothesis ranking occur as separate, observable steps.
Explicit investigation flow
Evidence collection, normalisation, timeline construction, and hypothesis ranking occur as separate, observable steps.
Durable execution
Investigations are resilient to partial failures, supporting retries, resumable runs, and preserved state.
Durable execution
Investigations are resilient to partial failures, supporting retries, resumable runs, and preserved state.
Durable execution
Investigations are resilient to partial failures, supporting retries, resumable runs, and preserved state.
Production-grade discipline
Environment parity, configuration management, structured logging, and quality gates ensure predictable behaviour under load.
Production-grade discipline
Environment parity, configuration management, structured logging, and quality gates ensure predictable behaviour under load.
Production-grade discipline
Environment parity, configuration management, structured logging, and quality gates ensure predictable behaviour under load.
The Impact
This product development investment directly addressed the client’s investigation challenges.
Challenges
Manual evidence gathering across systems
Conflicting signals slowing decisions
Investigation restarts due to failures
High cognitive load during incidents
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Coordinated, automated evidence collection
Sequenced analysis with ranked explanations
Durable, resumable investigation runs
Focused review instead of manual reconstruction
Before
Challenges
Challenges
Risk of costly HIPAA retrofits
Risk of costly HIPAA retrofits
Performance ceilings at higher data loads
Performance ceilings at higher data loads
Enterprise deals stalled by security gaps
Enterprise deals stalled by security gaps
Slow team onboarding and bottlenecks
Slow team onboarding and bottlenecks
After
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Software
Software
Compliance built-in from day one
Compliance built-in from day one
Compliance built-in from day one
Responsive platform during peak operations
Responsive platform during peak operations
Responsive platform during peak operations
Enterprise-ready within months
Enterprise-ready within months
Enterprise-ready within months
Smooth ramp-up with scalable engineering patterns
Smooth ramp-up with scalable engineering patterns
Smooth ramp-up with scalable engineering patterns
Lessons For Others Founders
Lessons For Others Founders
Agentic systems require structure, not just prompts
Agentic systems require structure, not just prompts
Agentic systems require structure, not just prompts
Coordination and durability matter more than model size
Coordination and durability matter more than model size
Coordination and durability matter more than model size
Trust is built through explainable steps, not confident answers
Trust is built through explainable steps, not confident answers
Trust is built through explainable steps, not confident answers
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Let's Discuss Your Roadmap
Better Software helped the client build an investigation platform that teams can rely on when signals conflict, pressure is high, and accountability is real. With the right product development approach, organizations don’t have to choose between speed and trust.
Better Software helped the client build a personal finance platform that was secure, intelligent, and ready for growth—proving that with the right product development approach, fintech startups don’t have to choose between moving fast and building strong.
Better Software helped the client build a personal finance platform that was secure, intelligent, and ready for growth—proving that with the right product development approach, fintech startups don’t have to choose between moving fast and building strong.
