Why Conversational AI Has Become Mission‑Critical

Gartner predicts that, by 2027, chatbots will handle 70 percent of enterprise interactions. Yet many early deployments fail—confusing users with canned responses, leaking data or stalling at proof‑of‑concept due to brittle intent models. SDUK avoids these pitfalls by coupling large language models with retrieval‑augmented generation, guardrails and human‑in‑the‑loop training that drive continuous improvement and compliance.

Common Pitfalls We Fix

• Generic Intents
  Most bots rely on a handful of catch‑all intents, forcing users into rigid scripts. We build hierarchical intent graphs enriched with business ontologies and real‑time context, enabling nuanced, natural dialogues that adapt dynamically as conversations evolve.
• Data Leakage Risks
  Lesser developers overlook prompt injections and logging vulnerabilities that expose sensitive information. Our secure orchestration layer enforces role‑based access, redacts PII in transit and embeds anomaly detection to halt suspicious queries before any data leaves your perimeter.
• Fragmented Knowledge Sources
  Bots trained on siloed FAQs return inconsistent answers. We implement retrieval‑augmented pipelines that fuse structured databases, document stores and live APIs, ensuring responses are up‑to-date, authoritative and traceable back to a single source of truth.