Solutions
Custom AI chatbots built on your systems
A custom AI chatbot answers from a company's own content and connects to that company's systems. Lingows AI builds chat for websites, phone lines, messaging channels, and internal knowledge bases, with retrieval grounded in approved sources and a defined handoff to a person.
01What this is
A useful chatbot has three parts: a retrieval layer over approved content, a model that answers only from what it retrieved, and a handoff path when it cannot. Everything else is interface work.
Lingows AI builds the retrieval layer first. Content is chunked, indexed, and versioned so answers can be traced to a source document. When source content changes, answers change with it.
02Who this suits
Companies with real documentation
Policies, manuals, product data, or a knowledge base that already holds the answers people ask for.
High inbound question volume
Support, admissions, scheduling, or presales teams answering the same questions daily.
Businesses that answer by phone
Operations where calls arrive after hours or faster than staff can pick up.
Internal teams that cannot find anything
Organizations where institutional knowledge is spread across drives, wikis, and inboxes.
03How it works
- Step 01
Inventory approved sources
Decide what the bot may answer from. Anything not on that list is out of scope by design.
- Step 02
Build retrieval and citation
Index the content, return sources with every answer, and log retrievals for review.
- Step 03
Define refusal and handoff
State what the bot must not answer and where those conversations go instead.
- Step 04
Review transcripts weekly
Early transcripts reveal missing content faster than any other signal. Content gaps get filled, not prompted around.
04Effort and timeline
| Item | Typical |
|---|---|
| Typical build | 3 to 8 weeks by channel count |
| Channels | Web, voice, SMS, WhatsApp, internal |
| Content required | Approved source set before build starts |
| Grounding | Retrieval with citations, no open ended answering |
| Ongoing | Transcript review and content updates |
05Common failure modes
No approved source set
A bot pointed at everything a company has ever written will confidently repeat outdated policy.
Answering outside scope
Chatbots that attempt legal, medical, or pricing commitments create liability that outweighs the deflection.
Hidden handoff
If reaching a person is hard, the bot becomes the reason customers leave.
Launch and forget
Content drifts. Without a review loop the answer quality falls quarter over quarter.
CAPCustom AI Chatbots capabilities
Website Chat
Website AI chat answers visitor questions from a company's approved content, cites the source of each answer, and performs lookups in connected systems where that is permitted. Lingows AI builds web chat with an explicit scope, a visible path to a person, and transcript review as a standing practice.
Voice AI
A voice AI agent answers an inbound phone call, understands the caller, handles the request where it can, and transfers to a person on request. Lingows AI builds voice agents for scheduling, status questions, and intake, with call recording, transcript logging, and an immediate path to a human.
SMS and WhatsApp
SMS and WhatsApp assistants handle confirmations, reminders, and two way support in the channel customers read fastest. Lingows AI builds these assistants with consent capture, automatic opt out handling, and platform template compliance, because messaging rules are enforced by carriers and platforms rather than by preference.
Internal Knowledge Assistants
An internal knowledge assistant answers staff questions from a company's own documentation, respecting the permissions each employee already holds. Lingows AI builds these assistants with permission aware retrieval, citations on every answer, and reporting on questions the documentation cannot answer.
FAQQuestions
Common questions
Will the chatbot make things up?
Grounded retrieval reduces that risk substantially because answers are drawn from indexed source content with citations. The remaining control is an explicit refusal path when retrieval returns nothing relevant.
Can it talk to our CRM?
Yes. Chat becomes an interface over the same typed tools used for agents, so it can look up an order, book a slot, or open a ticket where that is approved.
What content do we need to provide?
An approved source set. That is usually existing documentation, policy pages, and product data. Lingows AI does not invent source content on a client's behalf.
Last reviewed 2026-08-16
NEXTRelated pillars
- Business Process Automation
Business process automation removes repeated manual work from a company's back office. Lingows AI automates document processing, data entry, approval routing, and recurring reporting by combining models that read unstructured input with integrations that write clean records into systems of record.
- AI Integration
AI integration connects a language model to the systems a business already runs. Lingows AI builds typed tool layers, middleware, and MCP servers so models can read and write in a CRM, an ERP, or an internal API safely, with authentication, validation, and audit logging on every call.
Scope a custom ai chatbots build
Bring one process and its numbers. Lingows AI will tell you what is worth automating, what is not, and what running it in production costs.