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

Exit Interview Analyzer

Turn exit interviews into retention intelligence.

Stop losing employees to the same preventable reasons — automatically extract patterns from exit data and get a prioritized retention action plan. Reduce voluntary attrition by addressing root causes.

Best forConsultingFinancial ServicesHealthcareMarketing AgencyProfessional ServicesSaaS

Agents7 required

Duration5-10 minutes

Retrieves forms, analyzes themes, flags concentrations, and delivers prioritized retention actions.

How it runs

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

Call verslay_recall to retrieve prior exit theme clusters, voluntary turnover rates, and department-level attrition benchmarks from memory. Connect to Google Drive via the integrated provider to locate and pull all exit interview documents from the configured folder for the specified date range. Extract raw text responses from each document. Produce a consolidated exit interview corpus as Phase 1 output.

docs manager

Consume Phase 1 interview corpus. Apply thematic coding to identify recurring departure reasons: compensation, management, career growth, culture, workload, or competitive offer. Calculate theme frequency distribution and flag any themes that spiked vs prior period. Produce a coded theme dataset with per-respondent signals for Phase 4.

exit analyst

In parallel with exit-analyst, call verslay_news_search on the company's industry and job market (e.g., 'tech layoffs 2026', 'SaaS talent market attrition') to surface macroeconomic and sector-specific attrition drivers. Call verslay_scholar_search for academic research on exit interview theme prevalence and retention intervention effectiveness in the user's sector. Produce an external benchmark package for Phase 4.

web researcher

Call verslay_exclusive_run_actor with actor_id 'bebity/glassdoor-jobs-scraper' targeting the company name and top 3 competitor employers to scrape current Glassdoor reviews and job listings. Extract employee sentiment themes (management, pay, culture, growth) from reviews to understand competitive employer positioning. Identify which competitors are actively poaching from the user's company based on job listings. Pass enrichment data to data-analyst.

competitive intel

Consume Phase 2 coded theme dataset, Phase 2 external benchmark package, and Phase 3 Glassdoor enrichment. Calculate theme frequency percentages and compare against industry benchmark rates from Phase 2. Cross-tabulate themes by department, tenure band, and seniority level. Call verslay_chart_create to generate a theme distribution bar chart and a department-attrition heatmap. Produce a synthesis package for Phase 5.

data analyst

Consume Phase 4 charts, synthesis package, Phase 3 competitor Glassdoor data, and Phase 2 benchmarks. Write an executive exit analysis brief: top 3 departure themes with frequency and department breakdown, benchmark comparison (internal vs industry), competitive employer gap analysis, and 5 prioritized retention interventions with expected impact. Call verslay_memorize to store updated theme clusters, attrition rates, and intervention priorities in memory.

executive briefing writer

Receive the executive brief from executive-briefing-writer. Format it as a structured HR board report: executive summary, theme distribution chart, department heatmap, benchmark comparison table, Glassdoor competitive gap section, and ranked intervention roadmap. Return the final formatted report to the user.

report formatter

Required Agents

docs-manager
exit-analyst
web-researcher
competitive-intel
data-analyst
executive-briefing-writer
report-formatter

Connections

Required

googleverslay_exclusive

What it does

Full anonymization
Theme extraction with evidence
Department concentration flags
Tenure band analysis
Prioritized retention actions

Example prompt

What time period should I analyze (last 6 or 12 months) and which themes to look for (reasons for leaving, department trends, management feedback, compensation)? I will summarize the top 5 themes and recommend retention strategies.

Ready to deploy Exit Interview Analyzer?

Start free. One click, full agent orchestration.

Get Started Free →

All Use Cases

Exit Interview Analyzer

Turn exit interviews into retention intelligence.

Best forConsultingFinancial ServicesHealthcareMarketing AgencyProfessional ServicesSaaS

Agents7 required

Duration5-10 minutes

Retrieves forms, analyzes themes, flags concentrations, and delivers prioritized retention actions.

How it runs

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

Call verslay_recall to retrieve prior exit theme clusters, voluntary turnover rates, and department-level attrition benchmarks from memory. Connect to Google Drive via the integrated provider to locate and pull all exit interview documents from the configured folder for the specified date range. Extract raw text responses from each document. Produce a consolidated exit interview corpus as Phase 1 output.

docs manager

Consume Phase 1 interview corpus. Apply thematic coding to identify recurring departure reasons: compensation, management, career growth, culture, workload, or competitive offer. Calculate theme frequency distribution and flag any themes that spiked vs prior period. Produce a coded theme dataset with per-respondent signals for Phase 4.

exit analyst

In parallel with exit-analyst, call verslay_news_search on the company's industry and job market (e.g., 'tech layoffs 2026', 'SaaS talent market attrition') to surface macroeconomic and sector-specific attrition drivers. Call verslay_scholar_search for academic research on exit interview theme prevalence and retention intervention effectiveness in the user's sector. Produce an external benchmark package for Phase 4.

web researcher

Call verslay_exclusive_run_actor with actor_id 'bebity/glassdoor-jobs-scraper' targeting the company name and top 3 competitor employers to scrape current Glassdoor reviews and job listings. Extract employee sentiment themes (management, pay, culture, growth) from reviews to understand competitive employer positioning. Identify which competitors are actively poaching from the user's company based on job listings. Pass enrichment data to data-analyst.

competitive intel

Consume Phase 2 coded theme dataset, Phase 2 external benchmark package, and Phase 3 Glassdoor enrichment. Calculate theme frequency percentages and compare against industry benchmark rates from Phase 2. Cross-tabulate themes by department, tenure band, and seniority level. Call verslay_chart_create to generate a theme distribution bar chart and a department-attrition heatmap. Produce a synthesis package for Phase 5.

data analyst

Consume Phase 4 charts, synthesis package, Phase 3 competitor Glassdoor data, and Phase 2 benchmarks. Write an executive exit analysis brief: top 3 departure themes with frequency and department breakdown, benchmark comparison (internal vs industry), competitive employer gap analysis, and 5 prioritized retention interventions with expected impact. Call verslay_memorize to store updated theme clusters, attrition rates, and intervention priorities in memory.

executive briefing writer

Receive the executive brief from executive-briefing-writer. Format it as a structured HR board report: executive summary, theme distribution chart, department heatmap, benchmark comparison table, Glassdoor competitive gap section, and ranked intervention roadmap. Return the final formatted report to the user.

report formatter

Required Agents

docs-manager
exit-analyst
web-researcher
competitive-intel
data-analyst
executive-briefing-writer
report-formatter

Connections

Required

googleverslay_exclusive

What it does

Full anonymization
Theme extraction with evidence
Department concentration flags
Tenure band analysis
Prioritized retention actions

Example prompt

What time period should I analyze (last 6 or 12 months) and which themes to look for (reasons for leaving, department trends, management feedback, compensation)? I will summarize the top 5 themes and recommend retention strategies.

Ready to deploy Exit Interview Analyzer?

Start free. One click, full agent orchestration.

Get Started Free →

All Use Cases

Exit Interview Analyzer

Turn exit interviews into retention intelligence.

Best forConsultingFinancial ServicesHealthcareMarketing AgencyProfessional ServicesSaaS

Agents7 required

Duration5-10 minutes

Retrieves forms, analyzes themes, flags concentrations, and delivers prioritized retention actions.

How it runs

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

Call verslay_recall to retrieve prior exit theme clusters, voluntary turnover rates, and department-level attrition benchmarks from memory. Connect to Google Drive via the integrated provider to locate and pull all exit interview documents from the configured folder for the specified date range. Extract raw text responses from each document. Produce a consolidated exit interview corpus as Phase 1 output.

docs manager

Consume Phase 1 interview corpus. Apply thematic coding to identify recurring departure reasons: compensation, management, career growth, culture, workload, or competitive offer. Calculate theme frequency distribution and flag any themes that spiked vs prior period. Produce a coded theme dataset with per-respondent signals for Phase 4.

exit analyst

In parallel with exit-analyst, call verslay_news_search on the company's industry and job market (e.g., 'tech layoffs 2026', 'SaaS talent market attrition') to surface macroeconomic and sector-specific attrition drivers. Call verslay_scholar_search for academic research on exit interview theme prevalence and retention intervention effectiveness in the user's sector. Produce an external benchmark package for Phase 4.

web researcher

Call verslay_exclusive_run_actor with actor_id 'bebity/glassdoor-jobs-scraper' targeting the company name and top 3 competitor employers to scrape current Glassdoor reviews and job listings. Extract employee sentiment themes (management, pay, culture, growth) from reviews to understand competitive employer positioning. Identify which competitors are actively poaching from the user's company based on job listings. Pass enrichment data to data-analyst.

competitive intel

Consume Phase 2 coded theme dataset, Phase 2 external benchmark package, and Phase 3 Glassdoor enrichment. Calculate theme frequency percentages and compare against industry benchmark rates from Phase 2. Cross-tabulate themes by department, tenure band, and seniority level. Call verslay_chart_create to generate a theme distribution bar chart and a department-attrition heatmap. Produce a synthesis package for Phase 5.

data analyst

Consume Phase 4 charts, synthesis package, Phase 3 competitor Glassdoor data, and Phase 2 benchmarks. Write an executive exit analysis brief: top 3 departure themes with frequency and department breakdown, benchmark comparison (internal vs industry), competitive employer gap analysis, and 5 prioritized retention interventions with expected impact. Call verslay_memorize to store updated theme clusters, attrition rates, and intervention priorities in memory.

executive briefing writer

Receive the executive brief from executive-briefing-writer. Format it as a structured HR board report: executive summary, theme distribution chart, department heatmap, benchmark comparison table, Glassdoor competitive gap section, and ranked intervention roadmap. Return the final formatted report to the user.

report formatter

Required Agents

docs-manager
exit-analyst
web-researcher
competitive-intel
data-analyst
executive-briefing-writer
report-formatter

Connections

Required

googleverslay_exclusive

What it does

Full anonymization
Theme extraction with evidence
Department concentration flags
Tenure band analysis
Prioritized retention actions

Example prompt

What time period should I analyze (last 6 or 12 months) and which themes to look for (reasons for leaving, department trends, management feedback, compensation)? I will summarize the top 5 themes and recommend retention strategies.

Ready to deploy Exit Interview Analyzer?

Start free. One click, full agent orchestration.

Get Started Free →