Automate Conversations, Elevate CX, and Scale Operations with Intelligent Chatbots
Modernize Customer and Employee Interactions with Conversational AI
Chatbots and conversational AI enable natural, human-like interactions across web, mobile, messaging, and voice, handling FAQs, workflows, and transactions while integrating with core systems for real-time answers and actions. By combining NLP/NLU, dialogue management, and continuous learning, modern bots deliver faster responses, higher availability, and measurable impact on service quality and costs.
Key Benefits of Our Chatbots & Conversational AI Services
- 24/7 automated support that reduces handling time and improves response SLAs with NLP/NLU-driven understanding.
- Higher engagement and conversions via guided journeys, quick replies, and transactional flows across channels.
- Cost efficiency through automation of repetitive queries and workflows in customer support and internal operations.
- Integrated experiences by connecting bots to CRM, ITSM, ERP, ecommerce, and knowledge bases for personalized answers.
- Analytics and optimization with insights on intent coverage, deflection, CSAT drivers, and journey performance.
- Omnichannel reach across website, mobile apps, SMS, messaging, and voice assistants with consistent conversation design.
Our Proven Conversational AI Delivery Process
Discovery & Use-Case Definition
Identify high-impact journeys (support, sales, HR/IT helpdesk, onboarding) and KPIs.
Conversation Design
Map intents, entities, and dialogue flows, including fallbacks, handoffs, and guardrails.
Platform & Architecture
Select and configure stack (e.g., Dialogflow, Rasa, IBM, LLM orchestration) and integration patterns.
Build, Train & Integrate
Develop intents, connect to systems (CRM/ERP/ITSM), and train on domain data and FAQs.
Test & Launch
Run functional, linguistic, and journey tests; pilot, collect feedback, and iterate before scale-up.
Measure & Optimize
Track deflection, containment, CSAT, and AHT; expand intents and channels with continuous learning.
Conversational AI
Why Choose Vikalp Development for Conversational AI?
Your Partner for Outcome-Driven, Integrated Chatbot Solutions
End-to-End Expertise
Strategy, design, engineering, integrations, and optimization aligned to enterprise KPIs.
Human-Centered Design
Conversation UX grounded in NLP best practices and robust dialogue management.
Secure & Compliant
Enterprise-grade architectures and controls across data flows and platform integrations.
Omnichannel Delivery
Web, in-app, messaging, and voice deployments with consistent intents and guardrails.
Data-Driven Improvement
Analytics-driven roadmaps for coverage, accuracy, and ROI expansion over time.
Enterprise Use Cases We Implement
Customer Support
Account queries, order status, returns, product guidance, and smart escalation to live agents.
Sales & Marketing
Product discovery, recommendations, lead qualification, promotions, and assisted checkout.
IT & HR Helpdesk
Password resets, access requests, policy FAQs, ticketing, onboarding, and knowledge retrieval.
Operations & Field
Appointment scheduling, status updates, documentation, troubleshooting, and surveys.
Voice Assistants
Voice-first journeys for service, commerce, and training with ASR/TTS and intent routing.
Frequently Asked Questions (FAQ)
Basic chatbots are often rule-based and transactional, while conversational AI leverages NLP/NLU, context, and integrations for more natural, scalable interactions across channels.
Enterprise stacks commonly include Dialogflow, Rasa, IBM Watson, and LLM-based orchestration, integrated with CRM/ERP/ITSM and knowledge systems to enable personalized actions and answers.
Core metrics include containment/deflection rate, CSAT, AHT, intent accuracy, conversion uplift, and agent handoff quality, tracked via analytics and feedback loops for continuous learning.
Enterprises report cost reductions by automating high-volume queries while improving speed and availability; designing effective handoffs preserves CX for complex issues.
Yes-voice bots combine ASR/TTS with conversation design for natural dialogues and can be deployed alongside chat channels using a shared intent model.