Conversational AI Solutions
End-to-end design and development of intelligent conversational systems—NLU-powered chatbots, voice assistants, and enterprise virtual agents with robust integrations and analytics.
What we deliver
A robust conversational platform with proven capabilities mapped to real business use cases.
Core Capabilities
- Intent detection, entity extraction, and context management
- Multi-turn dialogue, memory, and personalization
- Omnichannel delivery: web, mobile, WhatsApp, Slack, Voice/IVR
- Knowledge-grounded answers with RAG and enterprise connectors
- Analytics, A/B testing, and continuous improvement
Use Cases
- Customer support automation and agent assist
- Lead qualification and sales enablement
- IT helpdesk and HR service desk
- Appointment booking and order management
- Voice receptionists and contact center automation
How we build production-grade Conversational AI
A lean, outcome-driven process that gets you to measurable impact faster.
1
Discovery & conversation blueprint
Map intents, entities, policies, KPIs, and success criteria with stakeholders.
2
Design, RAG setup & guardrails
Create flows, connect knowledge sources, and add safety/PII controls.
3
MVP across channels
Ship a testable bot on web/voice with analytics and human-in-the-loop review.
4
Integrations & rollout
Plug into CRM/ITSM, automate workflows, and enable seamless agent handoff.
5
Continuous improvement
Train from real conversations, A/B test responses, and scale with observability.
Why teams choose us
Engineered for reliability, security, and business results—not just demos.
Enterprise‑grade quality
Guardrails, analytics, red‑teaming, and observability baked in from day one.
Omnichannel by design
Web, mobile, WhatsApp, Slack, and voice/IVR with seamless agent handoff.
Measurable outcomes
CSAT uplift, deflection, and lead conversion tracked against clear KPIs.
Our Approach
- Discovery workshop to align business goals and CX objectives
- Conversation design with intents, entities, and guardrails
- Rapid MVP with analytics and human-in-the-loop review
- Integrations, security hardening, and rollout by channel
- Continuous training, A/B testing, and improvement
Platforms & Integrations
- Messaging: Web, Mobile, WhatsApp, Slack, MS Teams
- Voice: Amazon Connect, Twilio, SIP/IVR
- NLU: Dialogflow, Rasa, OpenAI, Azure OpenAI
- Search & RAG: Elasticsearch, vector DBs, SharePoint, Confluence
- CRMs/ITSM: Salesforce, Zendesk, Freshdesk, ServiceNow
Outcomes
- Reduced support load and faster first-response times
- Higher self‑service resolution and CSAT
- Revenue lift via better lead capture and qualification
- Lower average handling time with agent assist
- Auditable conversations and enterprise‑grade compliance
Ready to build with Conversational AI? Let's get in touch
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