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Back to Artificial Intelligence
Agentic AI Systems

Customer Service Agents

Upgrade from frustrating decision-tree chatbots to agentic customer service. Our AI service agents can authenticate users, query internal databases to check order statuses, process refunds via APIs, and resolve complex tier-1 and tier-2 support tickets autonomously.

Ticket ResolutionZendesk/IntercomAction-OrientedVoice & Text
45%
Ticket Deflection
Fully autonomous resolution of tier-1 support tickets without human intervention.
2 Mins
Resolution Time
Dropped average handle time from 4 hours (human) to 2 minutes (AI).
Expert Led
Arsalan Abbas
AI CX Architect
CX TransformationOmnichannel Experts
Capabilities

Core Features

Action-Taking Capabilities

Agents equipped with tools to actually solve problems—processing returns, updating shipping addresses, and issuing credits via your backend APIs.

Omnichannel Deployment

Deploy the exact same intelligent agent logic across Web Chat, SMS, WhatsApp, Email, and Voice (Phone) channels.

Contextual RAG Knowledge

Grounded in your latest support macros, return policies, and product manuals to ensure consistently accurate answers.

Seamless Human Escalation

When frustrated sentiment is detected or a task exceeds its permissions, the agent seamlessly hands the full context over to a live human agent.

Implementation

Our Process

01

Ticket Analysis & Action Mapping

Week 1-2

Analyzing historical Zendesk/Intercom data to identify the most time-consuming, repetitive tickets that require backend actions.

02

Integration & Tool Development

Week 3-4

Building secure API connections so the agent can interact with your Shopify, Stripe, or custom CRM to perform actions.

03

Agent Persona & Logic Engineering

Week 5-6

Tuning the system prompts to ensure the agent speaks in your brand voice, acts empathetically, and follows strict resolution SOPs.

04

Platform Integration

Week 7

Embedding the agent into your existing customer service platform (Zendesk, Salesforce Service Cloud, Intercom) as a virtual team member.

05

Shadow Testing & Go-Live

Week 8-9

Running the agent in 'draft mode' where it suggests replies to human agents, before switching it to autonomous customer-facing mode.

Tech Stack

Technologies We Use

Anthropic Claude 3.5
Empathetic Reasoning
Zendesk / Intercom APIs
Platform Integration
Twilio / Retell AI
Voice Integration
LangChain
Tool Orchestration
Pinecone
Policy RAG
Common Questions

FAQ

Will customers get frustrated talking to a bot?

How does the agent know when to escalate to a human?

Can the agent process refunds automatically?

Ready to Innovate?

Accelerate Your Business with
Customer Service Agents

Book a free strategy call. We'll scope the exact requirements for your use case and walk you through our implementation approach.

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