Verslay is an AI agent platform that gives business owners access to 98 pre-built AI agents for marketing, sales, operations, finance, and more — all accessible through claude.ai via a single MCP server connection. No coding, no infrastructure, no setup.

How does Verslay work with Claude AI?

Verslay plugs into claude.ai as an MCP (Model Context Protocol) server. Once connected, your Claude AI gains access to all your enabled agents and your connected business tools — so you can run automation by simply describing what you need in plain language.

How much does Verslay cost?

Verslay has a free plan with core agents. Paid plans start at ₹999/month (Starter) and ₹3,499/month (Pro with 5 seats). Enterprise and custom pricing is available for larger teams.

Do I need technical skills or coding to use Verslay?

No. Verslay is built for business owners, not developers. You connect your tools (like HubSpot, Shopify, Slack, or Stripe) once, choose which use-cases to activate, and then run them through natural language in claude.ai. Zero code required.

What tools and integrations does Verslay support?

Verslay integrates with 30+ business tools including HubSpot, Shopify, Slack, Stripe, Google Workspace, Notion, ClickUp, Meta Ads, LinkedIn, Razorpay, Zoho, Zendesk, and many more. New integrations are added regularly.

Is Verslay suitable for small businesses and startups?

Yes. Verslay is designed specifically for small and medium businesses who want enterprise-grade AI automation without an engineering team. The free plan lets you start immediately, and paid plans scale with your needs.

All Use Cases

Customer Success

Support Ticket Triage

Zero ticket backlog. Every issue routed in seconds.

Automatically classify, prioritize, and route every incoming support ticket with SLA deadlines and escalation flags — so your team only handles what needs a human. Reduce response time by 60%.

Best forEcommerceConsultingProfessional ServicesSaaS

Agents7 required

Duration2-4 minutes

Scans support queue, classifies tickets by category and priority, assigns SLA deadlines, and routes to appropriate teams.

How it runs

Multi-agent orchestration — here's the flow, step by step.

Call verslay_recall to retrieve prior triage rules, escalation thresholds, and known issue patterns stored in memory. Scan Zendesk via the connected integration to pull all open and recently updated tickets: subject, body, priority, requester tier, and current status. Produce a raw ticket list as Phase 1 output.

support scanner

Consume Phase 1 ticket list. Classify each ticket by category (bug / feature request / billing / onboarding / account access / other), urgency tier, and affected product area. Flag tickets requiring immediate escalation. Pass classified list to sentiment-analyst.

ticket classifier

In parallel with ticket-classifier, call verslay_reddit_search on the product name and known bug keywords to surface any community-reported issues that may not yet be in Zendesk. Call verslay_web_search for public outage reports or known incidents. Attach external signal notes to the ticket batch and pass to kb-generator.

sentiment analyst

Consume Phase 2 classified ticket list and Phase 2 external signals. Identify the top 5 recurring issue categories by ticket count. For each category, draft a knowledge base article outline: problem description, root cause hypothesis, and recommended resolution steps. Cross-reference verslay_web_search for existing public documentation on each issue. Produce a KB draft bundle for Phase 4.

kb generator

Consume Phase 2 classified tickets and Phase 3 KB category list. Calculate ticket volume by category, average time-to-first-response, and escalation rate. Call verslay_chart_create to produce a ticket category distribution chart and a priority-tier breakdown chart. Assemble a synthesis package for Phase 5.

data analyst

Consume Phase 2 escalation-flagged tickets. Create or update Zendesk tickets for critical items, assign to the correct agent queue based on category, and add internal notes with triage rationale. Pass a routing log to distributor.

task router

Receive Phase 4 analysis package, Phase 3 KB drafts, and Phase 5 routing log from task-router. Call verslay_memorize to store updated triage rules and top issue patterns. Distribute the full triage report — volume charts, escalated ticket list, and KB draft bundle — to the configured support team Slack channel or email. Confirm delivery.

distributor

Required Agents

support-scanner
ticket-classifier
sentiment-analyst
kb-generator
data-analyst
task-router
distributor

Connections

Required

zendesk

What it does

9-category ticket classification
P1-P4 priority assignment
SLA deadline calculation
Team routing
Escalation detection

Example prompt

What time window for the triage (today, this week, last 48 hours)? I will classify by urgency, category, and customer tier, auto-assign P1-P4, draft quick responses for common P3-P4 issues, and escalate P1/enterprise tickets.

Ready to deploy Support Ticket Triage?

Start free. One click, full agent orchestration.

Get Started Free →

All Use Cases

Customer Success

Support Ticket Triage

Zero ticket backlog. Every issue routed in seconds.

Automatically classify, prioritize, and route every incoming support ticket with SLA deadlines and escalation flags — so your team only handles what needs a human. Reduce response time by 60%.

Best forEcommerceConsultingProfessional ServicesSaaS

Agents7 required

Duration2-4 minutes

Scans support queue, classifies tickets by category and priority, assigns SLA deadlines, and routes to appropriate teams.

How it runs

Multi-agent orchestration — here's the flow, step by step.

Call verslay_recall to retrieve prior triage rules, escalation thresholds, and known issue patterns stored in memory. Scan Zendesk via the connected integration to pull all open and recently updated tickets: subject, body, priority, requester tier, and current status. Produce a raw ticket list as Phase 1 output.

support scanner

Consume Phase 1 ticket list. Classify each ticket by category (bug / feature request / billing / onboarding / account access / other), urgency tier, and affected product area. Flag tickets requiring immediate escalation. Pass classified list to sentiment-analyst.

ticket classifier

In parallel with ticket-classifier, call verslay_reddit_search on the product name and known bug keywords to surface any community-reported issues that may not yet be in Zendesk. Call verslay_web_search for public outage reports or known incidents. Attach external signal notes to the ticket batch and pass to kb-generator.

sentiment analyst

Consume Phase 2 classified ticket list and Phase 2 external signals. Identify the top 5 recurring issue categories by ticket count. For each category, draft a knowledge base article outline: problem description, root cause hypothesis, and recommended resolution steps. Cross-reference verslay_web_search for existing public documentation on each issue. Produce a KB draft bundle for Phase 4.

kb generator

Consume Phase 2 classified tickets and Phase 3 KB category list. Calculate ticket volume by category, average time-to-first-response, and escalation rate. Call verslay_chart_create to produce a ticket category distribution chart and a priority-tier breakdown chart. Assemble a synthesis package for Phase 5.

data analyst

Consume Phase 2 escalation-flagged tickets. Create or update Zendesk tickets for critical items, assign to the correct agent queue based on category, and add internal notes with triage rationale. Pass a routing log to distributor.

task router

Receive Phase 4 analysis package, Phase 3 KB drafts, and Phase 5 routing log from task-router. Call verslay_memorize to store updated triage rules and top issue patterns. Distribute the full triage report — volume charts, escalated ticket list, and KB draft bundle — to the configured support team Slack channel or email. Confirm delivery.

distributor

Required Agents

support-scanner
ticket-classifier
sentiment-analyst
kb-generator
data-analyst
task-router
distributor

Connections

Required

zendesk

What it does

9-category ticket classification
P1-P4 priority assignment
SLA deadline calculation
Team routing
Escalation detection

Example prompt

What time window for the triage (today, this week, last 48 hours)? I will classify by urgency, category, and customer tier, auto-assign P1-P4, draft quick responses for common P3-P4 issues, and escalate P1/enterprise tickets.

Ready to deploy Support Ticket Triage?

Start free. One click, full agent orchestration.

Get Started Free →

All Use Cases

Customer Success

Support Ticket Triage

Zero ticket backlog. Every issue routed in seconds.

Automatically classify, prioritize, and route every incoming support ticket with SLA deadlines and escalation flags — so your team only handles what needs a human. Reduce response time by 60%.

Best forEcommerceConsultingProfessional ServicesSaaS

Agents7 required

Duration2-4 minutes

Scans support queue, classifies tickets by category and priority, assigns SLA deadlines, and routes to appropriate teams.

How it runs

Multi-agent orchestration — here's the flow, step by step.

Call verslay_recall to retrieve prior triage rules, escalation thresholds, and known issue patterns stored in memory. Scan Zendesk via the connected integration to pull all open and recently updated tickets: subject, body, priority, requester tier, and current status. Produce a raw ticket list as Phase 1 output.

support scanner

Consume Phase 1 ticket list. Classify each ticket by category (bug / feature request / billing / onboarding / account access / other), urgency tier, and affected product area. Flag tickets requiring immediate escalation. Pass classified list to sentiment-analyst.

ticket classifier

In parallel with ticket-classifier, call verslay_reddit_search on the product name and known bug keywords to surface any community-reported issues that may not yet be in Zendesk. Call verslay_web_search for public outage reports or known incidents. Attach external signal notes to the ticket batch and pass to kb-generator.

sentiment analyst

Consume Phase 2 classified ticket list and Phase 2 external signals. Identify the top 5 recurring issue categories by ticket count. For each category, draft a knowledge base article outline: problem description, root cause hypothesis, and recommended resolution steps. Cross-reference verslay_web_search for existing public documentation on each issue. Produce a KB draft bundle for Phase 4.

kb generator

Consume Phase 2 classified tickets and Phase 3 KB category list. Calculate ticket volume by category, average time-to-first-response, and escalation rate. Call verslay_chart_create to produce a ticket category distribution chart and a priority-tier breakdown chart. Assemble a synthesis package for Phase 5.

data analyst

Consume Phase 2 escalation-flagged tickets. Create or update Zendesk tickets for critical items, assign to the correct agent queue based on category, and add internal notes with triage rationale. Pass a routing log to distributor.

task router

Receive Phase 4 analysis package, Phase 3 KB drafts, and Phase 5 routing log from task-router. Call verslay_memorize to store updated triage rules and top issue patterns. Distribute the full triage report — volume charts, escalated ticket list, and KB draft bundle — to the configured support team Slack channel or email. Confirm delivery.

distributor

Required Agents

support-scanner
ticket-classifier
sentiment-analyst
kb-generator
data-analyst
task-router
distributor

Connections

Required

zendesk

What it does

9-category ticket classification
P1-P4 priority assignment
SLA deadline calculation
Team routing
Escalation detection

Example prompt

What time window for the triage (today, this week, last 48 hours)? I will classify by urgency, category, and customer tier, auto-assign P1-P4, draft quick responses for common P3-P4 issues, and escalate P1/enterprise tickets.

Ready to deploy Support Ticket Triage?

Start free. One click, full agent orchestration.

Get Started Free →