Integration
Automate with AI Agents
AI agents don't just process data — they reason, plan, and take action across multiple tools to complete complex goals. NVS builds agents that work your business processes end-to-end, without needing a human in the loop for every step.
Use Cases
An AI agent monitors new leads, researches each company, writes a personalized outreach email, and schedules follow-up tasks — handling the full SDR workflow without human intervention on each lead.
Trigger
New Lead in CRM
hubspot.trigger
New contact with "lead" lifecycle stage added to HubSpot, triggering the agent.
Research Company
ai-agent.tool
Agent uses web search and LinkedIn tools to research the company and buying signals.
Write Personalized Email
openai.gpt-4o
Agent drafts a hyper-personalized cold email referencing specific company context.
Schedule Follow-up
hubspot.task
Follow-up task created in HubSpot for 3 days later with email draft saved as note.
Output
Queue for Review
slack.message
Rep notified with lead summary, drafted email, and one-click send/edit link.
An AI support agent handles tier-1 tickets end-to-end — it looks up order status, processes refunds, updates account details, and escalates only when it hits the boundaries of its authority.
Trigger
Support Ticket
intercom.trigger
New support conversation opened in Intercom, routed to the AI agent for first response.
Understand Intent
ai-agent.reason
Agent classifies the request and decides which tools to call to resolve it.
Use Tools
ai-agent.tool
Agent calls order lookup, refund processing, or account update APIs as needed.
IF
Resolved?
nvs.condition
Agent self-evaluates: was the issue fully resolved, or does it need a human?
YES
Output
Close Ticket
intercom.reply
Agent sends resolution message and closes the conversation automatically.
NO
Output
Escalate to Human
slack.message
Agent hands off with a full context summary so the human can pick up seamlessly.
Every morning an operations agent reviews the day's data, identifies exceptions — failed orders, overdue invoices, missed SLAs — and takes corrective action or escalates based on pre-defined rules.
Trigger
Daily 7am
nvs.schedule
Morning schedule triggers the operations agent to begin its daily review.
Gather Data
ai-agent.tool
Agent calls multiple APIs to gather orders, invoices, tickets, and SLA metrics.
Identify Exceptions
ai-agent.reason
Agent reasons over the data to identify anomalies, overdue items, and rule violations.
Loop
Handle Each Exception
nvs.loop
Each exception handled: auto-resolved where possible, escalated where human judgment needed.
Output
Daily Ops Report
slack.message
Summary posted to #ops-daily: items handled, items escalated, actions taken.
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