---
title: Agentic AI Agent
description: Connect your LLM directly to Engage. Process incoming social interactions in real time. Decide what to respond to, what to escalate, and what needs human input.
image: https://dataeq.com/hubfs/dataeq-ai-agent-web-img.png
---

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# Agentic AI for customer service. Choose the deployment that works for you.

Start with our pre-built agents, connect your own LLM, or work with us to build a custom model. Whatever route you choose, Engage provides the routing, workflows and human handoff needed to automate customer interactions safely, while keeping people in the loop where it matters.

 Talk to our team

![agenti-ai-landing-page-img-3](https://dataeq.com/hubfs/agenti-ai-landing-page-img-3.svg "agenti-ai-landing-page-img-3")

### Part of the DataEQ platform. Trusted by leading organisations worldwide.

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# What is DataEQ's AI Agent?

Most customer service teams are not losing ground because their agents are slow. They are losing ground because the volume of incoming interactions has outpaced what any human team can triage, prioritise, and resolve in time to matter. DataEQ's AI agent changes the equation.

[Learn more](https://dataeq.com/what-is-the-dataeq-ai-agent)

THE PROBLEM YOUR TEAM IS FACING:

# Social customer interactions arrive faster than human teams can triage them.

Queries, complaints, and escalation signals mix together across key social media platforms, most processed too slowly to matter, or not at all. The Engage Agentic AI agent processes incoming interactions in real time, routing each one to the right outcome automatically.

THREE THINGS YOUR TEAM WILL SEE IMMEDIATELY:

![dataeq-icon-25](https://dataeq.com/hubfs/dataeq-icon-25.svg)

###### Faster response at scale

Routine queries resolved instantly, without manual triage.

![dataeq-icon-11](https://dataeq.com/hubfs/dataeq-icon-11.svg)

###### Human layer where needed

Agents focused on interactions that need judgment, not volume.

![dataeq-icon-29](https://dataeq.com/hubfs/dataeq-icon-29.svg)

###### Full visibility and control

Audit logging of every agent decision. Timeout handling if the agent goes offline. Your policies define what it can and cannot do.

# Know where AI belongs in your customer service journey, before you commit to it.

Two assessments. One tells you whether an AI agent makes sense and what it will take. The other tells you exactly which conversations to start with. Both happen before a single query gets automated.

[Get an assessment](https://dataeq.com/agentic-ai-customer-service-assessment)

TWO DEPLOYMENTS. ONE PLATFORM. YOUR LLM.

# Find the level of autonomy your organisation is ready for

Agentic AI in customer service is a spectrum. The right deployment depends on your query mix, your sector, and how much autonomy your organisation is ready to give an AI agent.

![autonomous-agent-response-tag](https://dataeq.com/hubfs/autonomous-agent-response-tag.svg)

### For high-volume, low-risk queries

The agent responds directly, no human in the loop.

- Your LLM receives full ticket context and responds to qualifying queries in real time
- Interactions the agent cannot handle move immediately to human agents

 

Ideal for: FAQs, standard service requests, policy queries.

![ai-assisted-agent-response-tag](https://dataeq.com/hubfs/ai-assisted-agent-response-tag.svg)

### For complex or regulated interactions.

The agent reasons, a human executes.

- Your LLM surfaces response suggestions and context to your agents
- Every final response is reviewed and approved by a human
- Trainee model available for validation before full deployment

 

Ideal for: complaints, vulnerable customers, anything with regulatory weight.

HOW WE DELIVER IT:

# A guided rollout, governed from day one

![dataeq-icon-black-3-1](https://dataeq.com/hubfs/dataeq-icon-black-3-1.svg)

###### Discovery and scoping

Query types, escalation paths, and governance thresholds agreed before configuration begins.

![dataeq-icon-black-6](https://dataeq.com/hubfs/dataeq-icon-black-6.svg)

###### Data LLM alignment

Your LLM connected. FAQs, tone guidelines, SOPs, and response boundaries configured explicitly.

![dataeq-icon-black-8](https://dataeq.com/hubfs/dataeq-icon-black-8.svg)

###### Integration and testing

Workflows built and tested in Engage. Agents trained. Trainee mode used to validate response quality before go-live.

![dataeq-icon-black-10](https://dataeq.com/hubfs/dataeq-icon-black-10.svg)

###### Go-live optmisation

Performance, fallback rates, and CX impact monitored. Continuous refinement as your policies and customer behaviour evolve.

# The DataEQ difference

Our AI agent is designed to seamlessly integrate with your workflow. 

![dataeq-agentic-ai-agent-dashboard](https://dataeq.com/hs-fs/hubfs/dataeq-agentic-ai-agent-dashboard.png?width=1000&height=661&name=dataeq-agentic-ai-agent-dashboard.png "dataeq-agentic-ai-agent-dashboard")

![dataeq-icon-7](https://dataeq.com/hubfs/dataeq-icon-7.svg)

###### Your LLM. Your control

DataEQ does not supply the LLM. You bring your own. Your data, your policies, your IP.

![dataeq-icon-24](https://dataeq.com/hubfs/dataeq-icon-24.svg)

###### Built into Engage

Works natively within your existing workflow, including the priority queue. No additional platform to implement first.

![dataeq-icon-15](https://dataeq.com/hubfs/dataeq-icon-15.svg)

###### Deployed by specialists

Our Consulting Services team manages the full implementation alongside your technical leads.

![dataeq-icon-11](https://dataeq.com/hubfs/dataeq-icon-11.svg)

###### Governed from day one

Audit logging, trainee mode, timeout handling, and explicit response boundaries configured before anything goes live.

# Ready to bring agentic AI into

# your customer service workflow?

Contact our consulting services team.

 Talk to our team

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