Skip to main content
Anil MauryaSoftware · AI · Automation
Enquire

Solution

AI Customer Support

Answer routine questions instantly, escalate the rest with context.

Get a quote
Typical timeline
4-8 weeks depending on knowledge base preparation
Includes
8 components
Engagement
Fixed-scope project
You receive
Code, data & documentation
The situation

A large share of support requests are routine and repetitive, yet they occupy the same queue as the genuinely difficult ones. Customers wait, your team repeats itself, and after working hours nobody is answering at all.

What this solution does

An AI support layer sits in front of your team across website chat, WhatsApp and email. It resolves the routine questions from your own documentation, creates a ticket where follow-up is needed, and escalates anything it cannot handle confidently — with the full conversation attached so your agent does not start from scratch.

How it works

  1. Knowledge base prepared

    Your help documentation, policies, product information and past support answers are indexed so the assistant can retrieve the exact relevant passage.

  2. Customer asks a question

    On website chat, WhatsApp or by email. The assistant identifies the intent and retrieves the relevant content.

  3. Answered or escalated

    If the answer is in your content, it is given with a source reference. If not, the assistant says so plainly and creates a ticket rather than inventing something.

  4. Escalation with context

    Escalated conversations reach your team with the full transcript, the customer's history and the assistant's assessment of what is needed.

  5. Gaps become improvements

    Questions the assistant could not answer are reported as content gaps — usually the clearest list of what your documentation is missing.

Enquire about ai customer support

Tell us how things work today and we will tell you what this would involve.

We reply within one working day. No spam, and we never share your details.

The difference it makes

What changes once this is in place

Routine load absorbed

A substantial share of incoming questions are resolved without a person, freeing your team for the requests that need judgement.

Always available

Nights, weekends and holidays get a useful answer instead of a queue, which is when a good share of enquiries actually arrive.

Consistent answers

The same question gets the same approved answer regardless of who is on duty.

Your documentation improves

Unanswered question reports tell you precisely which gaps are costing you support time.

What's included

  • Knowledge base ingestion from documents, help pages and past support tickets
  • Website chat widget, WhatsApp and email channel integration
  • Answers with source citations and explicit uncertainty handling
  • Ticket creation with priority and category classification
  • Escalation routing with full conversation context
  • Multilingual support including Hindi and English code-mixing
  • Agent dashboard: conversations, tickets, resolution status
  • Reporting: resolution rate, escalation rate, content gaps, satisfaction

This is a good fit if

  • You handle a meaningful volume of repetitive support questions
  • Your product, service or policies are documented, or can be
  • Customers contact you outside working hours
  • Support volume is growing faster than you want to grow the team

Limitations you should know about

Every solution has constraints. We would rather you read them here than discover them after signing.

  • Answer quality is bounded by your documentation; thin content produces an assistant that escalates almost everything
  • Language models can be confidently wrong, which is why answers are restricted to retrieved content, sources are shown, and uncertain cases escalate
  • It should not be the only channel for decisions carrying medical, legal or financial consequences — a person stays in that loop by design
  • Angry or complex situations are best routed to a human immediately, and we build the triggers for that
  • It will not resolve every query; a realistic expectation is deflection of routine volume, not elimination of your support function

Technology we typically use

  • Claude API
  • Retrieval-augmented generation with pgvector
  • Python with FastAPI
  • PostgreSQL
  • WhatsApp Business API
  • Next.js

Questions

AI Customer Support — common questions

What if it gives a wrong answer?
The design is built around that risk: answers come only from retrieved passages of your own content, sources are shown so customers and agents can verify, uncertain cases escalate rather than guess, and we test against a list of awkward questions before launch. We also review logs in the first weeks and correct specific answers directly.
How much support volume will it actually handle?
It depends entirely on how repetitive your queries are and how good your documentation is. Rather than quote a figure, we analyse a sample of your past tickets during discovery and estimate deflection from your real data.
Can it handle Hindi?
Yes, including the mixed Hindi-English customers actually write. Quality is best when your source content covers the same languages you want to support.
Does it replace our support team?
No. It removes the repetitive portion of the queue so your team handles the complex requests properly. Teams typically take on more volume rather than shrink, and we would rather say that plainly than oversell it.

Services behind this solution

AI Chatbot DevelopmentAnswer customer questions instantly, using your own information.RAG Knowledge Assistant DevelopmentAsk questions of your own documents and get sourced answers.WhatsApp AI Assistant DevelopmentReply to customers on the channel they already use, automatically.AI-Powered Search DevelopmentSearch that understands intent, not just exact keywords.

Industries we serve

Interested in ai customer support?

Tell us how your process works today. We will confirm whether this is the right fit and what it would take.

Get a free consultation