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AI chatbot for business

Help teams answer questions, qualify enquiries, follow up and hand important cases to people.

Discuss your project ↗
Customer service and sales
01 / THE PROBLEM

When does this service help?

Customer conversations often span multiple channels and follow-up can be missed. A useful system keeps context visible and knows when to hand off.

Illustrative expected outcomes
Before

Customer questions pile up across multiple chats, and the team repeatedly types the same answers.

Expected After

Conversations are centralized with AI drafting replies, while humans take over complex issues and track progress.

Business Value

Helps the team continuously track sales opportunities and provide more thorough customer care.

How to Measure
  • First-response time
  • Follow-up completion
  • Enquiry-to-order rate
Industry Example

Example: A retail business receiving high volumes of product and shipping status inquiries.

02 / SCOPE

What we can work on

  • AI chatbots for supported channels
  • Knowledge-based answers
  • Lead qualification and appointment flows
  • Follow-up and sales assistance
  • Human handoff and response quality checks
Illustration of AI for Sales & Customer Service
03 / APPROACH

How we approach the work

We map common questions and lead intake, design the knowledge base, qualification and handoff, then test responses and boundaries before launch.

PROJECT BRIEF

Set chatbot boundaries before customer use

Start with verifiable answers about services and contact steps. Escalate complaints, exceptions and incomplete information to a person.

Deliverables to agree before starting

An approved knowledge base, conversation paths, escalation rules and tests covering permitted and out-of-scope questions.

What to prepare

Prepare FAQs, service policies, team availability and a knowledge owner, using anonymised conversation examples.

Scope and limitations

Channel connections depend on APIs and account access. The bot must not invent prices, terms or commitments beyond approved information.

Discuss your requirements →
04 / COMMON QUESTIONS

Before we begin

Can an AI chatbot connect to any website, LINE or Facebook account?

We first check the channel, account permissions and supported APIs. Some functions depend on platform approval or conditions. Integrations are confirmed after a feasibility review, not promised for every account or system.

What happens when the chatbot cannot answer or receives a sensitive request?

We define what the knowledge base can answer and when a person must take over, such as missing information, complaints or consequential decisions. The flow explains its limits and passes necessary context to the responsible person instead of inventing an answer.

What information does an enquiry qualification flow collect?

Start with information necessary to handle the enquiry, such as the service of interest, the task and an agreed contact channel. Access, retention and handoff are defined before CRM integration. The ability to collect more data is not a reason to request it.

What is tested before a customer-facing assistant goes live?

Using approved sample questions, we test answers against source information, ambiguous and out-of-scope requests, human handoff and connection failures. The client reviews the agreed acceptance criteria before launch, with an owner assigned to maintain the knowledge base.

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