AI support

AI support that answers fast, qualifies leads, and knows when to hand off.

We build AI agents for support, sales qualification, FAQ handling, and internal knowledge search with clear escalation to your team.

Timeline

3-7 weeks

Engagement

Audit first

Primary CTA

AI automation audit

Problems

When this becomes urgent

Clients wait for answers outside working hours.
Managers repeat the same explanations every day.
Support quality depends too much on individual employees.
There is no searchable source of truth for answers and policies.

Outcomes

What we build

24/7 answers for common customer questions.
Lead qualification before a manager joins the conversation.
Knowledge-base search for website, Telegram, and internal teams.
Human handoff, conversation summaries, and CRM updates.

Expected impact

24/7

coverage for routine support questions

Before and after

Before

Clients wait for a person, and managers repeat the same answers from memory.

After

The AI agent answers from an approved knowledge base, qualifies the request, and escalates complex cases.

Useful for product companies, service businesses, marketplaces, education, and support teams with repeat questions.

Workflow

Implementation plan

01

Prepare knowledge

We structure FAQs, policies, service descriptions, product data, and examples of good answers.

02

Build agent behavior

We define tone, guardrails, fallback rules, qualification questions, and escalation logic.

03

Connect channels

We launch the agent on the website, Telegram, CRM, or internal support tools.

04

Test and monitor

We evaluate answers, track failed questions, improve prompts, and tune the knowledge base.

FAQ

Common questions

What does an AI support agent need to answer correctly?

It needs approved knowledge: FAQs, policies, product or service details, examples of good answers, escalation rules, and a way to track failed questions.

Can an AI support agent hand off to a human manager?

Yes. The agent can summarize the conversation, tag the topic, update CRM or support tools, and send complex requests to a manager.

How do you prevent wrong AI answers?

We use a controlled knowledge base, fallback rules, testing questions, monitoring, and clear limits on what the agent is allowed to answer.

Integrations

OpenAITelegramWebsite chatCRMKnowledge baseAnalytics
Start with audit