AI & Data
AI Chatbots
Grounded chat experiences for support and product UX with retrieval, guardrails, and escalation.
AI Chatbots answer from your knowledge—not from inventing policies. We implement retrieval over approved content, constrain topics, and connect escalation into ticketing or live chat so the bot becomes a useful front door rather than a liability.
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Who it’s for
- • Support teams deflecting repetitive questions
- • Product teams adding in-app assistants
- • Companies with scattered documentation needing a single interface
Problems we address
- • FAQ pages go unread while tickets pile up
- • Generic bots hallucinate policy answers
- • No escalation path when the bot is wrong
Expected outcomes
- • Retrieval over curated knowledge sources
- • Topic and action guardrails
- • Handoff into human support channels
Capabilities
Concrete engineering capabilities included in a typical engagement for this service.
Knowledge ingestion and chunking strategy
RAG chatbot implementation
Widget or channel embedding
Feedback capture for wrong answers
Escalation to ticketing / live agents
Analytics for containment and topics
Technology
Representative technologies used for this service. Final stack depends on your estate.
- LLM APIs
- Vector databases
- Embeddings
- Next.js widgets
- Zendesk / Intercom / custom chat
- Analytics
Architecture
AI application flow
User requests through the application into model APIs, tools, and storage.
Deliverables
- • Knowledge source map and refresh process
- • Deployed chatbot for agreed channels
- • Guardrail and escalation configuration
- • Content owner guide for updates
- • Evaluation notes on known gaps
Out of scope
- • Unlimited content writing retainers
- • Guaranteed deflection rates
Timeline
Typical timeline
2–6 weeks
Timeline depends on scope, access, and dependencies—not a delivery guarantee.
Process
A clear delivery path from discovery through handover and optional support.
01
Discovery
Goals, constraints, success criteria, and current-state review.
02
Architecture
Target design, interfaces, risks, and delivery sequence.
03
Implementation
Incremental build with visible progress and documented decisions.
04
Testing
Functional checks, failure paths, and acceptance criteria validation.
05
Deployment
Controlled release to staging and production with rollback paths.
06
Handover
Runbooks, access notes, and operator/admin walkthrough.
07
Support
Optional hypercare window or retainer continuity after go-live.
Custom engagement
Pricing depends on architecture, traffic profile, and integration depth. Share your requirements for a scoped quote.
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FAQ
Only when explicitly designed as an agent with tools and approvals. Default chatbots stay in Q&A and guided routing.
Ready to build?
Tell us about your environment, constraints, and target outcomes. We’ll recommend a package or a scoped quote.