AI Chatbot for Customer Service — 70% of Tickets Auto-Resolved
An AI chatbot for customer service handles inbound support across chat, email and messengers, pulls live order status from ERP/CRM, runs returns by your policy and escalates to a human only when needed. Built on OpenAI or Anthropic API, on our backend, wired into Zendesk, Freshdesk, Intercom, HubSpot Service Hub or your custom helpdesk. After three months 65-75% of tickets close without an agent, first response drops under 8 seconds, and agents handle only complex cases.
What it actually automates
Classic support answers the same 20-30 questions 200 times a day — order status, address change, password reset, returns, invoices. That is the work the bot takes off your agents.
- ✓Order status and tracking — reads ERP and carrier APIs, returns tracking number and ETA in under 5 seconds.
- ✓Returns and refunds — runs the RMA flow by your policy, generates return label and opens the helpdesk ticket.
- ✓Account and subscription changes — email, billing address, plan upgrade or cancellation with double confirmation and CRM audit log.
- ✓Invoices and billing — resends PDFs, checks balance, explains charges, hands off only when finance review is needed.
- ✓SLA escalation — on negative sentiment or out-of-scope cases, hands off to an agent with full context in sentence one.
- ✓24/7 multi-language — replies in English, German, Bulgarian, Romanian, Serbian with auto-detection, no shift roster.
- ✓Omnichannel — web chat, WhatsApp, Viber, Messenger, email and in-app chat on shared history and a single CRM card.
The logic ships deep with the AI chatbot build and wires into your CRM system so it never runs in isolation.
Who it is for
Stores with 500+ orders a month, drowning in "where is my parcel". The bot reads live carrier status, starts a return in three questions and absorbs 70-80% of post-sale requests.
B2B SaaS with 1,000+ accounts and identical tickets — password resets, plan changes, invoices. The bot handles account ops via API without a human in the loop.
Telcos, banks, insurance, energy — where regulation demands exact policy answers. The bot replies only from approved knowledge, never invents, and logs everything for compliance.
How we deploy a helpdesk chatbot
We start from your support logs, because the real ROI comes from automating the 30 questions that eat 70% of agent time. Rollout takes 4-8 weeks across five stages.
1. Ticket analysis and deflection audit
We export 3-12 months of tickets from Zendesk, Freshdesk, Intercom or your inbox and cluster by topic. Output: "67% of tickets fall into 8 categories the bot can close without an agent." That is the number we measure against.
2. Knowledge base + RAG over policies
We parse return policies, warranty terms, price lists and SOPs into a vector store (PostgreSQL with pgvector). The model answers only from those sources — no hallucinations on returns and invoices.
3. Action layer and ERP/CRM integrations
A real support bot acts, not just answers. We wire it to ERP, CRM, helpdesk and carrier APIs through API integrations to pull real order status, open tickets, flag VIPs or issue credit notes. This is the core of business process automation in support.
4. Hand-off rules and SLA logic
We define exact triggers — negative sentiment, repeat escalation, invoice above a threshold, keywords "cancel" or "complaint". On hand-off the agent gets a full summary, identified product, order status and a suggested next move.
5. Monitoring and monthly iterations
We monitor every conversation, flag bad answers and feed them back as new prompt instructions or KB docs. Monthly review tracks deflection rate, CSAT and first-response time. Month-three target: 65-75% deflection, CSAT above 4.4/5.
Why Saitami
No per-seat subscription, no per-conversation fees — you pay once for the build and self-host the token spend. For related scope see our AI chatbot for website for pre-sale flows and AI assistant for companies for internal chat over corporate data.
Frequently Asked Questions
How many tickets does it actually absorb?
For repetitive post-sale traffic (e-commerce, SaaS, telco) — 60-80% deflection by month three. Month one is 30-40% as the bot meets new scenarios. If after 90 days the rate is below 50% with a populated knowledge base, we rework it at no charge.
What happens with an angry customer?
The bot tracks sentiment in real time and on trigger phrases ("human", "complaint", "refund now") escalates immediately with full summary and suggested next move. It never traps an angry customer in a loop — the most common failure of bad chatbot rollouts.
Do you integrate with Zendesk/Freshdesk/Intercom?
Yes — ready connectors for Zendesk, Freshdesk, Intercom, HubSpot Service Hub, Help Scout and Front. For a custom helpdesk we build over REST API. Two-way sync with audit log.
How much does it cost?
From €2,000 for up to 3 channels, one helpdesk integration, RAG over policies and 5 action flows. Full omnichannel with ERP integration and 10+ flows starts at €4,500. Recurring cost is API tokens and hosting — €60-€250 a month at 5,000-30,000 conversations.
How is it different from a sales chatbot?
A website chatbot is pre-sale — leads, pricing, demo bookings. A customer-service chatbot is post-sale — existing customers with orders, subscriptions and accounts, acting on real ERP/CRM data. We often run both as two prompts on one backend.
Ready for 70% fewer tickets per agent?
Send an anonymized export of your last 1,000 tickets. Within 5 working days we return a concrete deflection audit — which categories automate now, which after the second integration, and how many agent-hours per month you save.
Request deflection audit →Related services: AI chatbot · CRM system · business process automation