AI chatbots that answer from your knowledge and hand off cleanly when they should.
We build text-based assistants for websites, apps, messaging channels and internal tools — with grounded answers, conversation design, system lookups, escalation to people and analytics that show what customers are really asking.
- Conversation design
- Knowledge grounding
- System lookups and actions
- Escalation and live handoff
- Channel deployment
- Analytics and review
Where this helps
What we deliver
How it works
- 01
Analyze real conversations
We review past chats, tickets and search logs to find the topics worth automating and the ones that should go straight to a person.
- 02
Design the conversation
Scope, tone, flows for key tasks and escalation rules are drafted and reviewed with your support leads.
- 03
Build and ground
The bot is connected to knowledge sources and systems, then tested against a set of real questions and tricky cases.
- 04
Soft launch
Release on a limited page, segment or time window while staff review transcripts daily.
- 05
Expand and improve
Add topics and actions based on analytics, and refresh content where the bot could not answer.
Design decisions we make with you
Answer only or take actions
Many bots start by answering questions and add transactional actions once the answers are reliable. Actions that change records follow the controls on our [AI agents](/ai-services/ai-agents) page.
When to escalate
Sentiment, repeated failure, sensitive topics and explicit requests for a person all trigger handoff. Users should never be trapped.
Help desk integration
Transcripts, tags and summaries flow into your existing support platform so reporting stays in one place.
Brand and boundaries
What the bot may discuss, how it declines off-topic requests, and how it identifies itself as automated.
Channel choice
This page covers text chat. For phone calls and spoken interaction, see [AI Voice Agents](/ai-services/ai-voice-agents).
Applications
Related capabilities
- Customer Support AgentsResolve routine customer inquiries from your policies and live account data, taking approved actions and handing everything else to your team.
- Enterprise Knowledge AssistantAnswer staff questions from your own policies, procedures and records, with sources shown and access rules respected.
- RAG & Enterprise Knowledge SystemsAnswers drawn from your own documents and data, with sources shown, permissions respected and content kept current.
- AI Voice Agents & ReceptionistsPhone agents that answer calls, understand callers in natural speech, book, route and take messages — and transfer to a person when needed.
- NLP & Conversational AIThe language layer underneath chat, voice and document systems — understanding, extraction, classification, dialogue management and multilingual support.
- AI AgentsAgents that take approved actions across your tools, with permissions, review points and monitoring built in.
Questions buyers ask
Scripted bots match keywords to fixed flows. An AI chatbot understands varied phrasing, answers from your actual content, and asks clarifying questions — while still following rules you set for sensitive topics and handoff.
We ground answers in your approved content, limit topics, and test before launch. Transcript review and feedback after launch catch mistakes quickly, and sensitive topics can be routed to people by default.
Yes. We integrate with common help desk and CRM platforms so handoffs, transcripts and reporting stay in your existing tools.
Modern language models handle many languages well. We test the languages you need with native speakers and your content before enabling them. See NLP & Conversational AI for deeper language work.
Discuss this capability with an engineer.
Tell us about the workflow or product. We reply with questions, a suggested first step and who would work on it.