Work & Projects

Below are anonymized examples of project types and outcomes (company names intentionally omitted):

Omnichannel Support Automation (Telecom)

  • Challenge: Fragmented self-service, inconsistent knowledge retrieval.
  • Solution: Unified conversational layer (chat/voice) with retrieval-augmented orchestration and robust state handling.
  • Outcome: Increased containment and reduced agent escalations.

Intelligent Document Processing (Finance)

  • Challenge: Manual review of multi-format financial statements.
  • Solution: Modular pipeline (OCR + extraction + validation + LLM consistency heuristics).
  • Outcome: Shortened review cycle; higher data quality confidence.

Real Estate Negotiation Agent (Property Technology)

  • Challenge: Slow, manual multi-party offer negotiation.
  • Solution: Autonomous agent workflow with structured prompts, risk checks, and escalation thresholds.
  • Outcome: Faster negotiation loops and improved engagement.

Wellness Assessment Platform (Health Tech)

  • Challenge: Inconsistent instrument delivery and scoring at scale.
  • Solution: Multi-tenant backend with validated psychological inventories and secure routing.
  • Outcome: Reliable assessment delivery blueprint; roadmap for adaptive guidance.

Voice AI Debt Resolution (Operations)

  • Challenge: Inefficient outbound contact cycles.
  • Solution: Voice agent stack (SIP/WebRTC) with reasoning layer and event-driven call state tracking.
  • Outcome: Automated routine interactions; reduced manual workload.

Computer Vision Retail PoC (Retail)

  • Challenge: Need for rapid product identification.
  • Solution: Object detection integrated with reasoning assistant for operator support.
  • Outcome: Demonstrated feasibility and informed investment decisions.

GenAI Readiness & Enablement (Multiple Sectors)

  • Activities: Diagnostics, lens analysis, architecture whiteboarding, prioritised roadmap.
  • Outcome: Clear phased adoption plan aligned to value and risk mitigation.

Multi-agent Document Intelligence (Legal/Financial)

  • Challenge: Complex document sets with cross-field dependencies.
  • Solution: Cooperative agents for extraction, validation, enrichment.
  • Outcome: Higher consistency and reduced exception handling.

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