Everything starts with a conversation

AI chatbots use NLP/LLMs to understand intent, fetch answers from your approved knowledge, and take actions (e.g., create a ticket, book a meeting) with guardrails and audit trails.

They deflect repetitive Tier-1 queries 24/7, summarize context for agents, and route exceptions—cutting AHT and improving CSAT while your team focuses on complex issues.

We start with your docs, policies, and sample chats; then iterate. Basic flows go live fast; accuracy improves continuously from real conversations (with human review loops).

Yes—CRMs, ticketing tools, Sheets/DBs, and custom APIs. We read/write only the fields you approve, and log actions for traceability.

Role-based access, encryption in transit/at rest, region-aligned storage, minimal data retention, and approvals for sensitive actions.

Context memory, multi-turn reasoning, real-time data lookups, and policy guardrails—far beyond static keyword matching.

Absolutely—tone, vocabulary, disallowed phrases, formatting, and escalation style are all configurable and tested with your team.

Resolution rate, AHT, first-response time, self-serve %, CSAT, and conversion lift—reviewed in weekly/bi-weekly optimization cycles.

Knowledge updates, prompt/policy tuning, intent expansions, regression checks after tool changes, and periodic data quality audits.

Yes—auto-detect + respond in the user’s language. We can prioritize locales and add custom glossaries for brand terms.

Crucial. Clear affordances (quick replies, status/typing indicators, file/photo capture) reduce friction and abandonment.

By streamlining service and sales steps, reducing hand-offs, and capturing structured data you can act on—faster cycles, better outcomes.