A retrieval-augmented, guardrailed support assistant that resolves customer requests across channels and languages, with secure data handling and robust analytics.
We built a production chatbot that deflects tickets, accelerates agent responses, and keeps answers aligned to the company’s policies and knowledge. The assistant blends Retrieval-Augmented Generation (RAG), workflow automations, analytics, and human handoff to deliver measurable support outcomes.
Self-service Q&A • Order/trouble-ticket updates • Troubleshooting flows • Policy & billing FAQs • Agent assist
Web widget • Mobile SDK • Email triage • WhatsApp • Facebook Messenger • Slack/Teams
Web/Mobile • WhatsApp • Email • Slack/Teams
Webhook adapters & SSO
Intent & entity detection • Dialog state • Guardrails • PII redaction
Chunking • Embeddings • Vector DB • Re-ranking • Source citing
CRM/ITSM APIs • Order lookup • Ticket create/update • Knowledge sync
Metrics • Traces • Feedback loops • Evaluation & experiments
Multi-turn intent classification, entity extraction, form-filling, fallback & clarifications.
Chunking & embeddings with re-ranking; citations to sources to reduce hallucinations.
Secure tools for ticketing, account lookups, refunds, returns, and status updates.
PII redaction, toxicity filters, jailbreak resistance, policy & tone constraints, GDPR support.
Language detection + translation; locale-aware date, currency, and units.
Deflection, containment, CSAT, AHT; session replays; evaluator dashboards.
Ticket taxonomy, KB quality, data access, privacy & retention, success metrics definition.
Grounded responses via RAG; offline & human-in-the-loop evals; shadow mode on live traffic.
Progressive rollout, A/B tests, prompt/policy updates, auto-tuning rankings & guardrails.
Compliance-minded design with encryption in transit/at rest, access logging, and data minimization.
We tailor models, prompts, and retrieval to your domain and governance requirements.