Production Systems

AI Agents That Actually Ship

No demos. No smoke and mirrors. We build AI agents with proper monitoring, SLAs, and maintainability baked in from day one. Real systems for real problems.

Case Studies

Production Systems in Action

These aren't prototypes. They're live systems handling real business logic, generating measurable ROI, and solving problems that matter.

Laimonaid

Feedback-to-Roadmap Agent

A platform that transforms feedback chaos into structured roadmaps. Aggregates signals from customers, stakeholders, and teams, synthesizes patterns, and generates prioritized product plans with full documentation.

Deploys with audit trails for every recommendation. Product teams see why each item was prioritized. No black-box decisions—transparent synthesis of feedback into strategy.

Impact

  • 5x faster roadmap generation
  • +40% reduction in planning meetings
  • Automated sprint planning with context awareness

Technical Stack

RAG Pipeline LLM Integration Vector Search Async Processing

Production Features

  • Multi-language feedback synthesis
  • Confidence scoring for recommendations
  • Audit logging for governance
  • Feedback loop integration

Technical Stack

Behavioral ML RAG Real-time Analytics Mobile-First

Production Features

  • Adaptive learning pathways
  • Spaced repetition scheduling
  • Compliance tracking & reporting
  • A/B testing for content variants

Sainsei

Personalized Learning Agent

A nanolearning platform that delivers contextual knowledge at the moment of need. Analyzes each user's learning patterns, identifies knowledge gaps, and serves personalized content—balancing education with compliance without cognitive overload.

Runs continuous A/B tests on content effectiveness. Tracks which explanations stick, which fail. Learning improves automatically, per-user, every engagement cycle.

Impact

  • +40% retention in trained content
  • +60% engagement increase
  • 24/7 autonomous nudging at enterprise scale

Casa & Condo

Multi-Modal Operations Agent

A property management system that handles the full operational lifecycle: guest communications, maintenance coordination, booking management, financial reconciliation. One unified system, no manual handoffs.

Built with retry logic, comprehensive logging, and human-readable decision trails. Property managers have full visibility into what the system did and why. Transparent ops at scale.

Impact

  • 70% reduction in manual tasks
  • 24/7 autonomous guest support
  • $200K+ annual cost savings per deployment

Technical Stack

Multi-Modal AI MCP Protocol Background Jobs Webhooks

Production Features

  • Email & SMS parsing & response
  • Maintenance request scheduling
  • Financial reconciliation workflows
  • Escalation protocols & monitoring

Technical Stack

Document Vision RAG Pipeline Legal NER Compliance Rules

Production Features

  • OCR + semantic analysis of scanned contracts
  • Risk pattern matching + alerts
  • Automated contract generation with templates
  • Complete audit trail + version history

Schepens AI

Contract & Email Intelligence Agent

A legal operations system that archives, classifies, and analyzes all contracts and email communications. Scans documents with OCR, extracts key obligations and risks, generates risk alerts, and helps draft new contracts.

Maintains complete audit trail for every document. Legal teams know exactly why a contract was flagged, what pattern triggered the alert, and can trace recommendations back to source documents.

Impact

  • 5x faster contract creation
  • 98% accuracy in classification
  • Instant alerts on at-risk contracts
Operations

Built for Real Operations

AI agents are not toys. They're production systems that need monitoring, SLAs, incident response, and continuous improvement. Here's what proper ops looks like.

Full Observability

Every action is logged. Every decision is traceable. Your team sees exactly what the agent did, when, and why—no guesswork.

  • Structured logs of every agent decision
  • Real-time latency and accuracy metrics
  • Cost tracking per interaction
  • Hallucination detection & alerts

Defined SLAs

No surprises. Your team knows uptime commitments, response times, quality thresholds, and exactly how to respond when something breaks.

  • Service availability commitments
  • Response time SLOs
  • Quality and accuracy thresholds
  • Incident response runbooks

Built for Your Team

Not a black box. Your engineers understand the architecture, can debug failures, and can improve the system. Transparent by design.

  • Clear, documented system architecture
  • Decision logs for debugging
  • Safe deployment and rollback procedures
  • Easy to iterate and improve

Continuous Improvement

Agents get smarter over time. Failures become training data. Your team controls what the system learns and when it gets better.

  • Human-in-the-loop feedback systems
  • A/B testing of improvements
  • Performance trending and analysis
  • Controlled iterative refinement
Next Steps

Ready to Ship Production AI

If you have a real problem that needs intelligent automation—something that requires proper ops, monitoring, and transparency—let's talk. We build systems that teams trust.

contact@digiscope.eu