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Support that does not sleep. Qualification that is not guesswork.

An AI agent connected to your CRM and your chats: it receives, understands what matters, responds in your brand voice, and pulls people in when it is time to close.

For teams with high inbound volume who cannot leave leads waiting or lose brand tone.

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Spark · AI agent
Illustration of Spark's AI agent inside the customer service flow
Smart flow
First replyQualificationHuman handoff

After hours becomes silence, and on the clock becomes too rushed to qualify well

When volume spikes, two things happen at once: queues and improvisation.

  • 1Leads arrive at night or on weekends and nobody replies with the same care as on Monday morning.
  • 2Every rep explains the product a little differently, and it gets hard to keep scripts and qualification criteria aligned.
  • 3When automation answers, commercial context is missing: the human team starts over and the customer notices.

What changes with an agent designed for Spark

Fast, consistent first touch, with clear rules about what the agent can promise, ask, and escalate.

CRM history and chat history stay together: whoever takes over sees what was said, which funnel stage fits, and what the next move should be.

Smart automation that respects how you operate

Fewer stuck queues, more directed conversations, and less human rework.

First reply at the right pace

Greet, guide, and collect the basics to classify the lead without making them wait until the next shift.

Qualification with criteria

Ask focused questions, capture interest, and place the lead in the pipeline with tags and fields your team already uses.

Clean handoff to humans

Set triggers to transfer a thread, with a summary of what the agent understood and why the case needs a specialist.

Tone aligned with your brand

Keep language, limits, and offers consistent with your positioning, reducing generic replies that feel off-brand.

CRM context in the same workspace

The agent sees lead data and stage so it does not repeat questions or suggest a path that contradicts history.

Scale without losing control

Track volume, recurring topics, and handoff points so you can adjust scripts, hours, and how the human team prioritizes.

How to put the agent to work with your team

Three steps away from a messy pilot.

  1. 1

    Define the agent's role

    Work with Spark to decide which steps are automated, which questions are mandatory, and when a thread becomes a human priority.

  2. 2

    Connect inbox and CRM

    Bring channels and pipeline together so every message arrives with the lead identified, stage visible, and useful history for both agent and team.

  3. 3

    Monitor and refine

    Review conversations and adjust answers and rules based on what happens in the real world, not intuition alone.

Frequently asked questions

Fast replies, understood leads, humans focused on what closes.

See Spark's AI agent with your channels and your pipeline.

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