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AI & Automation Engineering

200+ AI agent orchestration framework, chatbot development, intelligent process automation, and custom tool building.

Engagement model

Discovery → Architecture → Build → Deploy

200+ agents in production

Tell me what's broken

The Problem

Most AI deployments fail not because the models are bad, but because nobody has designed the orchestration layer that makes them reliable. You get impressive demos and pilot projects that never make it to production. The gap between AI potential and AI delivery is workflow design - decomposing complex tasks, routing to appropriate models, quality gates, error handling. Without this, AI tools create more work than they save.

What I Deliver

01

Process Automation Assessment

5–7 business days

Identify high-value automation opportunities and design implementation roadmap.

  • Current workflow analysis (bottlenecks, repetitive tasks, quality issues)
  • AI suitability assessment (what works with current tech, what doesn't)
  • ROI projection with time/cost savings estimates
  • Prioritised automation roadmap
  • Technical feasibility report
02

AI Agent Development

2–4 weeks

Custom AI agent or chatbot built to your specifications.

  • Requirements specification and workflow design
  • Agent architecture (single or multi-agent system)
  • Model selection and routing logic
  • Quality gates and validation rules
  • Testing framework (accuracy, reliability, performance)
  • Deployment and integration support
03

Enterprise Orchestration Framework

4–8 weeks

Full multi-agent system with orchestration, memory, and quality automation.

  • Multi-agent orchestration architecture
  • Task decomposition and routing system
  • Quality automation and validation framework
  • Performance monitoring and observability
  • Documentation and training materials
  • Ongoing optimisation support

My Authority

This service is built on:

  • 200+ AI agents in production across 11 departments
  • 1,300+ automated tests maintaining 100% pass rate
  • Multi-agent orchestration framework handling complex task decomposition
  • 626+ files indexed with 15–40ms query speed
  • Real-world deployment: DataHarvester (95% time reduction), AI Accountant (MTD compliance)
  • Published research: 'The AI Scaling Paradox' analysing why 67% of AI deployments fail
  • Production infrastructure running enterprise-scale operations maintained by one person

Interested in this service?

Describe the problem. I'll scope a solution and explain exactly what you'll get.

200+ agents in production

Email hello@anomalyops.com

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