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Customer Support

AI Chatbot & Customer Support

Give customers fast answers without turning every question into a support ticket.

A support assistant that answers from your approved documents and connected systems, with clear fallback rules and human handoff. Start with one channel and expand after testing.

24/7 support5 languagesOwn knowledge baseHuman handoff
Start with one channel and the questions your team answers every day.
Is this you?

Is support demand growing faster than your team can absorb it?

Choose the support bottleneck that feels familiar.

Illustrative workflow

Customers wait too long for simple answers

Question
Approved knowledge
Handoff rule
Resolved / escalated
Sensitive, unusual and low-confidence cases stay with your team.

Answer routine questions from approved sources, with fallback and escalation when needed.

One customer question. A connected support flow.

See what one enquiry can become.

Turn a recurring customer question into a controlled answer, the right follow-up and a visible human handoff when needed.

ANSWER

Respond from approved knowledge.

Give a clear answer grounded in the information your team has approved for customer use.

  • Relevant answer
  • Source-aware response
  • No unsupported claims
Illustrative example. Final fields, rules and review points are agreed during discovery.

Illustrative only, not a client case study. Final scope and outputs are agreed in the proposal.

What you receive.

Select the support modules required for the chosen queue, knowledge sources and escalation model; optional channels stay out of scope until needed.

Your support assistantKnowledge, channels, handoff and measurement

Multilingual Chatbot Development (EN / HY / AR / RU / ES): An assistant using approved sources, with language-specific test questions and fallback rules.

What changes

Faster. Consistent. Escalated when needed.

Give routine questions a reliable path without removing human judgement.

Illustrative operating view
Pilot test reportDeliverable
Concrete deliverablePilot test report
01Response time
02Answer quality
03Containment
Pilot test report

Test report covering response time, answer quality and routine-question containment

Knowledge-gap logDeliverable
Missing sourceMeasured
Unanswered caseVisible
Owner / fixReviewed
Knowledge-gap log

Knowledge-gap and unanswered-question log from the pilot

Handoff reviewDeliverable
Escalation rule
Language check
Human handoff
Handoff review

Handoff review showing escalation accuracy by language and question type

Choosing the right approach

Choose support coverage around the questions and channels you actually need.

Choose the approach based on question volume, knowledge quality, channel coverage and the level of human escalation required.

What mattersReady-made support assistantConfigured support workflow
Best fitStandard questions and supported integrationsSpecific knowledge, routing or review requirements
KnowledgeBuilt-in source options and settingsAgreed source ownership and update workflow
HandoffCapabilities depend on the productTested escalation paths for your support team
AcceptanceYour team configures and checks the toolAgreed question set, answer checks and launch criteria

Capabilities, responsibilities and ongoing support are confirmed in the agreed scope.

See a sample first pilot
How we deliver

From approved knowledge to a tested support assistant.

Responsibilities are explicit from knowledge preparation through answer review, escalation design and pilot monitoring.

  1. 01

    Define

    Select the launch channel, questions and support owners.

    You confirm: coverage and escalation boundaries.
  2. 02

    Prepare

    Organise approved sources and connect required systems.

    You review: source ownership and access.
  3. 03

    Test

    Check answers, uncertainty and handoff on representative questions.

    You approve: answer quality and fallback behaviour.
  4. 04

    Launch & review

    Release the agreed scope and review unresolved conversations.

    You decide: refine coverage or add a channel.

Pilot timing is confirmed after scope, source readiness, access and reviewer availability are known.

Implementation roadmap

Stage 1

Demand & channels

Automation target defined
What usually goes wrong

Support volume is high but nobody knows what should be automated first.

What we do

Analyse contact reasons, languages, channels, volumes and escalation patterns.

Deliverable: Intent map and channel priority.
Read the roadmap stage by stage
Demand & channels

Analyse contact reasons, languages, channels, volumes and escalation patterns.

Deliverable: Intent map and channel priority.
Knowledge base

Collect, clean and structure approved support content and ownership.

Deliverable: Controlled knowledge source.
Conversation design

Define intents, tone, questions, actions, fallbacks and human handoff rules.

Deliverable: Conversation and escalation blueprint.
Build & connect

Connect the assistant to selected channels, CRM/help desk and approved APIs.

Deliverable: Working assistant in a test environment.
Safety & handoff

Add confidence checks, permissions, red flags and human approval points.

Deliverable: Guardrails and escalation workflow.
Pilot & QA

Pilot with a limited audience, review failures and tune retrieval and routing.

Deliverable: QA report and tuned assistant.
Analytics & improve

Review unanswered intents, escalation reasons and knowledge gaps on a regular cycle.

Deliverable: Analytics dashboard and improvement backlog.
A focused first pilot

Start with one channel and a focused question set.

Agree the support queue, approved knowledge, handoff rules and review criteria before the assistant is tested with users.

Bring

Top support questions and ticket categories · Approved policies, FAQs and product/service documents · Channels to support first

Test

One channel, a focused knowledge set and the most common support questions.

Measure

First-response time · Automation / containment rate · Human escalation rate

Record the starting point and review the agreed evidence before deciding the next step. Outcomes depend on the scope, inputs and adoption.
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Human control

Your team stays responsible for sensitive cases.

The assistant works from approved knowledge, follows explicit confidence and escalation rules, and passes context to a person when the case needs judgement.

Question → Grounded answer → Confidence check → Human handoff when needed
  • Answer only from approved knowledge and connected systems
  • Use confidence thresholds and explicit fallback behaviour
  • Escalate sensitive, unusual or high-impact cases to people
  • Log conversations and permissioned actions for review
Practical questions

What we need before support testing starts.

Which languages does the assistant speak?

English, Armenian, Arabic, Russian and Spanish can be included. We agree the launch languages, approved terminology and language-specific tests before release.

What happens when the bot does not know an answer?

The assistant acknowledges the limit and follows the agreed fallback: ask for clarification, create a ticket or hand over with context. Customer details are collected only when needed for that route.

Which platforms can it live on?

We can scope website chat and supported messaging or email integrations. Each channel depends on account access, platform capabilities and testing; not every channel is included by default.

Who keeps the answers up to date?

We name a knowledge owner and agree how source changes, corrections and failed answers are reviewed. Ongoing support responsibilities are defined in the scope.

What do we need to prepare?

Top support questions and ticket categories · Approved policies, FAQs and product/service documents · Channels to support first

Does this connect to our existing tools?

We review the current stack during discovery. Typical integration points can include Website chat, WhatsApp, Instagram / Messenger, Telegram, Email, CRM. Access, permissions and technical feasibility are confirmed before implementation.

Contact us

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HAY AI Assistant

English · Հայերեն · العربية · Русский · Español