SaaS & Service Business

AI Customer Support Agents for 24/7 Resolution

An AI customer support agent is a trained assistant that answers customer questions and completes service actions across chat, email, WhatsApp and voice. It is grounded in your help centre, CRM and past tickets, resolves most tier-1 requests instantly, and escalates the rest to a human with full context attached.

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60-80%

of tier-1 tickets deflected

<5s

average first response

24/7

coverage in any language

The problem today

Tier-1 tickets — order status, password resets, refunds — consuming most of your agents' day
First-response times measured in hours while customers expect seconds
No coverage outside business hours or across time zones and languages
Knowledge scattered across help centres, Notion pages and long-tenured staff

Outcome

Deflect 60-80% of tickets, respond 24/7 in any language, and free human agents for high-value conversations.

Support teams are buried in repetitive tier-1 tickets while customers wait hours for basic answers. Our agents resolve queries instantly across chat, email, WhatsApp and voice — trained on your docs, CRM and past tickets.

How it works

Step 1

Train

The agent indexes your help centre, product docs, SOPs and historic ticket resolutions to learn how your team actually answers.

Step 2

Connect

Read/write integrations with your CRM, order system and ticketing tool so the agent can act, not just talk.

Step 3

Deploy

Go live on website chat, WhatsApp, email, in-app and voice with a consistent brand persona.

Step 4

Escalate & learn

Low-confidence cases hand off to humans with a full transcript; every resolution feeds back into retraining.

What the agent does

Grounded answers with citations

Responses cite the source article or policy, so answers stay accurate and auditable.

Action-taking, not just chat

Cancel orders, issue refunds, update addresses and create tickets through secured API calls.

Any language, any channel

Native multilingual support with the same knowledge base across every touchpoint.

Safe escalation

Confidence thresholds, sentiment detection and hard guardrails route sensitive cases to people.

Frequently asked questions

How accurate are AI support agents?

Agents grounded in your own documentation typically resolve 60-80% of tier-1 volume correctly. Confidence thresholds ensure anything uncertain is escalated to a human instead of guessed.

Can the AI agent take actions like refunds?

Yes. With secured CRM and order-system integrations it can process refunds, cancellations, address changes and ticket creation, subject to the approval rules you define.

Does it replace my support team?

No. It removes repetitive tier-1 work so your team handles complex, high-value and retention conversations where humans perform better.

How is customer data protected?

Deployments support data residency, PII redaction and on-premise or private-cloud LLM hosting for organisations with strict compliance requirements.

Related use cases

E-commerce Listing Automation

E-commerce listing automation uses an AI agent to generate, enrich and publish product listings across every sales channel automatically. It writes SEO-ready titles, bullet points, descriptions and attributes from raw supplier data, then syncs pricing and stock so catalogs stay accurate without manual data entry.

Inventory & Order Management

AI inventory and order management uses agents to watch stock levels across every channel in real time, forecast demand from sales history and seasonality, raise purchase orders before stock-outs occur, and reconcile ERP, POS and warehouse records automatically.

Workflow & Process Automation

AI workflow automation replaces manual back-office steps with agents that read documents and emails, extract structured data, apply your business rules, route approvals and update CRM or ERP systems — turning multi-day processes into minutes with a full audit trail.

All use cases