AI ServicesChatbots & Discovery
Chatbots & Discovery
Assistants
Most chatbot experiences are glorified FAQ search with a chat interface. The ones we build are fundamentally different.
Engagement
AI Solutions
Typical Duration
4 – 8 weeks
Conversational AI powered by large language models, grounded in your domain knowledge, designed to have genuinely useful conversations that guide users toward outcomes. They understand context, handle unexpected questions, ask clarifying follow-ups, and know when to hand off to a human.
What we build
Lead Qualification Assistants
Engage prospects, ask qualifying questions, assess fit, route qualified leads to sales with full context. Work around the clock, handle multiple conversations simultaneously.
Product Discovery & Recommendation
Help users find the right product, plan, or solution through structured conversation. Understand needs, evaluate options, present personalised recommendations.
Customer Support Assistants
First-line support connected to product knowledge and resolution patterns. Resolve common issues, gather diagnostics for complex ones, escalate with full context.
Guided Process Assistants
Step-by-step guidance through complex processes. Insurance claims, loan applications, compliance questionnaires, technical setup.
How we build them
Knowledge Foundation — Step 1
RAG pipeline connecting the assistant to your documentation, FAQs, product data, and business rules.
01
Knowledge Foundation — Step 1
RAG pipeline connecting the assistant to your documentation, FAQs, product data, and business rules.
02
Conversation Design — Step 2
Flows for different scenarios: first-time interactions, information gathering, uncertainty handling, human handoff.
Conversation Design — Step 2
Flows for different scenarios: first-time interactions, information gathering, uncertainty handling, human handoff.
Tool Use — Step 3
Give the assistant the ability to look up accounts, check orders, book meetings, create tickets, trigger workflows.
03
Tool Use — Step 3
Give the assistant the ability to look up accounts, check orders, book meetings, create tickets, trigger workflows.
04
Testing — Step 4
Hundreds of scenarios: common queries, edge cases, adversarial inputs, multi-turn conversations, safety testing.
Testing — Step 4
Hundreds of scenarios: common queries, edge cases, adversarial inputs, multi-turn conversations, safety testing.
Deploy — Step 5
Web chat, Slack, Teams, WhatsApp, voice, or API. Channel-specific requirements handled.
05
Deploy — Step 5
Web chat, Slack, Teams, WhatsApp, voice, or API. Channel-specific requirements handled.
Deliverables
What you get
- Deployed conversational assistant
- Knowledge base and RAG pipeline
- Conversation design documentation
- Tool integrations
- Quality benchmarks and testing results
- Monitoring and analytics dashboards
- Improvement playbook
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Need a conversational experience that actually works?
We build for the edge cases, the ambiguous questions, the users who try to break things. That robustness is what separates a useful assistant from a liability.