AI Chatbots that actually know your business.
A trained-on-your-business assistant for the web, WhatsApp, Slack and Teams. Retrieval-grounded, action-taking, brand-voiced — with human escalation when it matters.
Why an AI chatbot built right pays for itself.
Generic chatbots are why people hate chatbots. They give the wrong answer with confidence, can't take action, and route every hard question to an overloaded human queue. A BaigOps chatbot is the opposite: it's grounded on your real documents, refuses to invent facts, and can actually do the work — book the meeting, issue the refund, update the record, escalate cleanly when it should.
That's the difference between a deflection metric you can defend and a deflection metric that pushes frustrated customers to your competitors. We build chatbots that resolve real tickets end-to-end, not chatbots that pretend to.
What our chatbots do.
- RAG over your knowledge base. Product docs, policies, prior tickets, internal wiki — indexed and grounded so every answer is traceable to a source.
- Action-taking. Book meetings, issue refunds, create tickets, look up orders, update CRM records — within strict guardrails.
- Multi-channel. Website widget, WhatsApp Business, Slack, MS Teams, Messenger, Instagram DM, SMS.
- Brand voice & refusal rules. Tone, persona, off-topic boundaries and compliance language tuned to your brand.
- Live human hand-off. Warm escalation to an agent with the full conversation context already summarised.
- Analytics & eval loop. Every conversation scored, every failure mode surfaced, every regression caught before it ships.
Where AI chatbots shine.
SaaS & technical support
Resolve onboarding, billing and integration questions instantly. Surface relevant docs, run diagnostics, escalate only the truly hard cases.
E-commerce
Order status, returns, sizing, shipping, recommendations. Convert browsers into buyers and reduce support tickets by 40–60%.
Real estate
Pre-qualify website visitors, answer listing questions, book showings on the agent's calendar — all from a chat widget.
Healthcare & clinics
Appointment booking, intake forms, FAQ triage and prescription refill requests — with privacy-aware data handling.
Internal IT & HR
Slack-native assistants that answer policy questions, file tickets, reset access and onboard new hires automatically.
Financial services
Account questions, transaction lookups, compliant disclosures, lead capture for advisors — auditable end-to-end.
How BaigOps builds a chatbot.
1. Knowledge audit (week 1)
We inventory the documents, systems and APIs the chatbot needs access to, and identify what's missing, stale or contradictory.
2. RAG indexing & eval set (week 1–2)
We chunk, embed and index your knowledge base — then build a golden test set of real questions with verified answers, so we can measure quality objectively.
3. Action wiring (week 2–3)
We expose your CRM, ticketing, calendar and order systems to the chatbot through typed tools, with explicit guardrails and audit logging.
4. Voice, persona & refusal rules (week 2–3)
We tune the brand voice, write the off-topic refusal language and ensure the chatbot stays in its lane.
5. Pilot & calibrate (week 3–4)
We ship to a small audience, score every conversation, and iterate until the eval set passes consistently.
6. Maintain
We monitor every conversation, retrain on new content, and catch regressions before they reach customers.
Frequently asked questions.
What is an AI chatbot for business?
An AI chatbot is a conversational assistant trained on your specific business — your products, policies, documents, past tickets — that holds natural conversations with customers across the channels they already use.
Does it use my own documents?
Yes. We use Retrieval-Augmented Generation (RAG) over your knowledge base so the chatbot answers using your truth, not a generic LLM guess.
Can it take actions, not just answer questions?
Yes. It can book appointments, issue refunds, update CRM records, create tickets, look up orders, and trigger any workflow exposed through your APIs.
Which channels are supported?
Website widget, WhatsApp Business, Slack, Microsoft Teams, Messenger, Instagram DM, SMS — and any other channel with a public API.
How is hallucination prevented?
Strict RAG grounding, citation enforcement, refusal rules for off-topic queries, and continuous evaluation against a golden test set.
How long to deploy?
Typically 3–5 weeks from kick-off to live, depending on the complexity of your knowledge base and integrations.
Ready to ship a chatbot that actually works?
A 30-minute call with a principal engineer. We scope the build and quote it in writing within a week.
Book a strategy call →