AI Product Development

Comprehensive Guide for Building Enterprise-Scale Agentic AI Systems

By The AK Dispatch • Based on several €100Ms value creation across enterprise transformations

Enterprise Best Practices Framework

After building agentic AI systems (80-person team), impactful AI transformations (10+ companies and sectors), and multiple advisory roles, this comprehensive guide distils the essential methodology for shipping AI products that work at enterprise scale.

Based on several €100Ms value creation across transformations in finance, energy, manufacturing, and healthcare, this framework covers seven critical phases from discovery to optimisation.

Phase 1: Product Strategy & Discovery

The Golden Rule: Process Mining Before Building

73 seconds per task → €2M savings (Manufacturing case)

Shadow real users for 2-3 days. Document every step, every exception, every workaround. Calculate baseline metrics before writing a single line of code.

Discovery Checklist

Map current process flows

Identify pain points and bottlenecks

Quantify time/cost per task

Document exception handling

Interview 5-10 end users

Calculate 3-5x ROI target

Define success metrics

Assess data availability

Red Flags to Avoid

×Automating unknown processes
×Starting with complex use cases
×No clear value quantification

Phase 2: Technical Architecture

The Five-Layer Agent Architecture

┌─ UI Layer (React/Next.js)

├─ Orchestration Layer (LangGraph)

├─ Agent Layer (Multi-model routing)

├─ Data Layer (Vector DB + Knowledge graphs)

└─ Observability Layer (LangSmith + Custom)

Multi-Model Strategy

40-60% cost reduction via intelligent routing

• GPT-4o for complex reasoning and planning
• Claude Sonnet for analysis and structured output
• GPT-4o-mini for simple classification tasks
• Haiku for speed-critical operations

Phase 3: Development Workflow

The 4-Week MVP Sprint

Week 1

Architecture + Core Agent

Week 2

Data Integration + UI

Week 3

Testing + Refinement

Week 4

User Testing + Deployment

Essential Development Practices

• Structured prompt templates with version control
• Few-shot examples for every agent behaviour
• Comprehensive logging and observability
• Iterative user feedback integration

Success Metrics Framework

>90%

Task completion rate

3-5x

Target ROI in 18 months

<3s

Response latency

Final Advice from the Trenches

Start Narrow, Scale Wide

Pick ONE workflow, nail it, then expand

Measure Twice, Build Once

Spend more time on discovery than building

Humans > Models

User adoption is your first bottleneck

Cost Discipline from Day 1

Set budgets, implement caching, monitor daily

The 90% Rule

Don't ship until 90% accuracy on top use case

Platform Thinking

By your 3rd agent, build reusable components

Framework by The AK Dispatch

Based on real transformations: (80+ team, $100M+ value creation), (Several €100Ms value creation)

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