Smarter Chat Support for Datawaves Teams
Turn Chat Support into a background job. Arahi AI agents use Datawaves to execute on your behalf, 24/7.
84 chats handled overnight. Sample resolution:
Customer
“Hey — my Slack agent stopped firing after I rotated the workspace token yesterday. Anything I need to do on my end?”
Agent draft · in your tone
Hi Lara — totally normal, the new token needs a quick re-auth. I've sent a one-click reconnect link to your Arahi inbox; once you tap it the agent will pick up where it left off (no re-training needed).
How does Datawaves work for chat support automation?
Datawaves works for chat support automation by powering an Arahi AI agent that runs the workflow end-to-end inside your existing tools — no code, no custom build. The agent connects to Datawaves alongside the other apps your team already uses, watches for the triggers that matter for chat support, and takes the next step on its own while keeping a complete audit trail for review. AI handles common questions immediately, reducing wait times to zero for routine inquiries. Teams typically see instant around the clock once the agent is in production. You stay in control: every action is logged, confidence thresholds are configurable, and anything ambiguous is queued for a human instead of being silently auto-completed.
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Read the inbound ticket and classify the topic
- 2Pull the customer's plan, history, and SLA
- 3Draft a response in your support team's voice
- 4Resolve directly or hand off with full context
Get started in three steps
Connect Datawaves
Link Datawaves to Arahi AI and your data pipelines start syncing within seconds.
Define Data Workflows
Choose which Datawaves datasets, reports, or dashboards trigger AI actions — and configure transforms and delivery rules.
Automate Insights Delivery
AI processes your Datawaves data on schedule, surfaces anomalies, and distributes reports to stakeholders automatically.
Hi Lara — totally normal, the new token needs a quick re-auth. I've sent a one-click reconnect link to your Arahi inbox; once you tap it the agent will pick up where it left off (no re-training needed).
Customer reports a duplicate charge; refund queued, awaiting confirmation.
Customer asking what's included on the Growth plan vs. Pro.
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- Lara Knight9:14 AM
Customer marked the resolution as helpful.
- Agent9:12 AM
Sent reply on ticket #9281.
Reason: Confidence above auto-send threshold; voice match passed; SLA at-risk.
- Agent9:11 AM
Drafted reply in your team's voice.
- Agent9:10 AM
Pulled customer plan, prior tickets, and account context.
- Agent9:09 AM
Triaged #9281 as the matching topic.
Frequently asked questions
Arahi AI connects natively with Datawaves to handle the full chat support workflow. The AI agent monitors Datawaves events, processes chat support tasks automatically, and writes results back to Datawaves — no copy-pasting or tab-switching required.
The chat support agent scales automatically as your Datawaves activity grows. Whether you process 10 or 10,000 chat support tasks per day from Datawaves, the AI handles the volume without slowdowns or additional configuration.
Yes. You can run chat support workflows in test mode using sample Datawaves data before activating on live records. This lets you verify every chat support rule works correctly with your Datawaves setup before processing real data.
The Datawaves integration automates end-to-end chat support — including data capture from Datawaves, validation, routing, follow-up actions, and status updates. Every chat support step that touches Datawaves can be handled by the AI agent.
Manual chat support in Datawaves requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling chat support tasks in real-time as Datawaves events occur — running 24/7 with consistent accuracy and zero fatigue.
When the AI hits an edge case during chat support processing in Datawaves, it escalates to your team with full context — the Datawaves record, what was attempted, and why it needs review. Your chat support pipeline never stalls or loses data.
No coding required. The no-code builder walks you through connecting Datawaves and configuring chat support rules visually. Your team can set up, modify, and manage Datawaves-based chat support workflows without any developer involvement.
Teams automating chat support through Datawaves typically save 10-20 hours per week on manual processing. The ROI dashboard tracks time saved, tasks completed, and error reduction so you can quantify exactly what Datawaves-powered chat support automation delivers.
Arahi AI connects to Datawaves via one-click OAuth, then runs chat support workflows that read and write Datawaves data on a schedule or in response to triggers. You configure the rules once; the agent executes chat support across every relevant Datawaves record without developer involvement.
Datawaves holds the data; AI supplies the judgment and throughput. Together they turn chat support from a manual, inconsistent process into one that runs at machine speed with a consistent quality bar — freeing your team to focus on the Datawaves-adjacent work that genuinely needs human attention.
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