Customer Support Chatbots
LLM-powered support agents trained on your help docs, policies, and past tickets that resolve 60-80% of routine queries autonomously. Seamless human handoff with full conversation context for everything else.
AI Solutions
AI Chatbots & Virtual Assistants
24/7 intelligent assistants for support, sales, and leads.
We build conversational AI for web, mobile, WhatsApp, and Slack — trained on your FAQs, products, and policies to handle real customer conversations.
Our Offerings
AI Chatbots & Virtual Assistants Services We Provide
Lead Generation & Sales Bots
Website assistants that qualify visitors, answer product questions, book demos, and push enriched leads into HubSpot or Salesforce. Clients typically see 2-3x more qualified conversations than static contact forms.
WhatsApp & Multichannel Bots
One conversational brain deployed across WhatsApp Business API, Instagram, Facebook Messenger, web, and SMS. Especially powerful in markets where WhatsApp is the default customer channel.
Internal Employee Assistants
HR, IT helpdesk, and knowledge bots inside Slack and Microsoft Teams that answer policy questions and raise tickets automatically. Companies recover hundreds of staff hours monthly from repetitive internal queries.
Voice Assistants & IVR Modernization
Natural-language voice bots built on speech-to-text and LLM pipelines that replace frustrating keypad IVR menus. Callers state their issue in plain language and get routed or resolved in seconds.
Chatbot Analytics & Optimization
Dashboards tracking resolution rate, CSAT, escalation reasons, and conversation drop-offs with monthly tuning cycles. We treat launch as the starting line — bots improve measurably every month they run.
What We Deliver
End-to-End AI Chatbots & Virtual Assistants
- Multi-channel deployment
- WhatsApp Business API
- Human handoff
- Lead qualification
- Sentiment detection
- Analytics dashboard
Why Choose Devlex
Business Outcomes That Matter
✓80% query auto-resolution
✓24/7 availability
✓Lower support costs
✓Faster lead response
Technologies
Tools & Stack We Use
We pick the right technology for your goals — not the trendiest framework.
- OpenAI
- Dialogflow
- Rasa
- Twilio
- Node.js
- Python
Our Approach
- Discover — Understand goals & constraints
- Design — Architecture & UX blueprint
- Build — Agile sprints with weekly demos
- Launch — Deploy, test & support
0Years of Experience
0Projects Delivered
0Global Clients
0In-house Experts
0Countries Served
0Client Retention
“We hired a dedicated team of five from Devlex to build our property management portal, and eighteen months later they still feel like our own employees. Releases ship every two weeks and platform uptime has held at 99.95%.”
“Devlex built an AI-powered quoting engine that cut our sales team's turnaround from two days to twenty minutes. They handled the LLM integration, the guardrails, and the training — and it actually works in production, not just in demos.”
“Our e-commerce replatform to a headless architecture was delivered GDPR-ready and PCI DSS compliant on the first audit pass. Page load times dropped 60% and conversion rose 18% in the first quarter after launch.”
FAQ
AI Chatbots & Virtual Assistants — FAQs
Everything you need to know before starting your project. Still have questions? Talk to our team.
Customer support bots, sales and lead-gen assistants, WhatsApp commerce bots, internal HR/IT helpdesk bots, and voice assistants — powered by GPT-4o, Claude, or open-source LLMs with RAG over your knowledge base. All include human handoff and full conversation logging.
A focused FAQ or support bot launches in 3-6 weeks; a multichannel assistant with CRM integration and custom workflows takes 2-3 months. We start with a pilot on your top 20-30 query types and expand from real usage data.
Development ranges from $8,000 for a knowledge-base bot to $40,000+ for multichannel assistants with deep integrations. Running costs are modest — LLM API usage for a bot handling 10,000 conversations/month typically runs $100-$500/month.
Yes — all code, prompts, knowledge-base pipelines, and conversation data belong to you, hosted in your own cloud and accounts. Your data is never used to train third-party models, and we configure zero-retention API settings by default.
Responses are grounded in your approved content via RAG, with guardrails that decline out-of-scope questions and confidence thresholds that trigger human handoff. We review flagged conversations weekly during the first 90 days and tune until accuracy stabilizes above 95% on covered topics.
90 days of included tuning post-launch, then optional retainers from $500/month covering knowledge updates, new intents, performance reports, and model upgrades. Most clients see resolution rates climb 10-20 points over the first six months of optimization.
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