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

Employee Satisfaction Pulse

Know how your team actually feels before they resign.

Run automated eNPS surveys and get a leadership report with sentiment themes and retention risks — without manual analysis. Catch dissatisfaction early and act before you lose your best people.

Best forEcommerceConsultingFinancial ServicesHealthcareMarketing AgencyProfessional ServicesSaaS

Agents7 required

Duration3-5 minutes

Two-session workflow: send survey then analyze responses with eNPS and theme extraction.

How it runs

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

Call verslay_recall to retrieve prior satisfaction pulse baselines, eNPS scores, and department-level satisfaction trends from memory. Connect to Google Drive to pull the latest employee satisfaction survey responses from the configured survey folder. Extract department, tenure band, role level, and numeric/open-text responses. Connect to HubSpot to pull any HR-logged notes about team concerns or recent manager escalations. Produce a raw satisfaction data corpus as Phase 1 output.

docs manager

Consume Phase 1 satisfaction corpus. Apply NLP sentiment scoring to open-text responses: classify themes (compensation, management, growth, culture, workload, recognition, remote/office). Calculate overall eNPS (Promoters − Detractors) and segment by department and tenure. Identify the top 3 positive themes and top 3 pain themes driving low scores. Produce a sentiment-coded satisfaction dataset for Phase 4.

sentiment analyst

In parallel with sentiment-analyst, call verslay_news_search for 'employee satisfaction benchmarks 2026' and 'eNPS industry average tech SaaS' to surface comparable satisfaction score benchmarks. Call verslay_scholar_search for academic research on drivers of employee satisfaction and effective intervention programs. Produce an industry satisfaction benchmarks 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. Extract Glassdoor review themes (management, culture, pay, growth, work-life balance) and overall star ratings. Compare competitor Glassdoor scores against the company's internal satisfaction themes to identify employer brand gaps. Produce a Glassdoor employer positioning report for Phase 4.

competitive intel

Consume Phase 2 sentiment dataset, Phase 2 benchmarks, and Phase 3 Glassdoor positioning. Build a satisfaction KPI table: eNPS, theme scores by department, benchmark comparison, and Glassdoor score vs competitors. Call verslay_chart_create to generate a department satisfaction heatmap and a theme distribution bar chart (positive vs negative). Produce an enriched synthesis package for Phase 5.

data analyst

Consume Phase 4 charts and synthesis, Phase 3 Glassdoor report, Phase 2 sentiment analysis, and Phase 2 benchmarks. Write the employee satisfaction pulse brief: overall eNPS with trend vs prior pulse, top positive and pain themes by department, benchmark comparison, Glassdoor employer gap analysis, and 5 recommended interventions ranked by impact. Call verslay_memorize to store the current eNPS, theme scores, and top pain points as baseline. Pass to distributor.

executive briefing writer

Receive the satisfaction pulse brief from executive-briefing-writer. Distribute to the configured HR and executive email or Slack channel. Confirm delivery and log the send timestamp.

distributor

Required Agents

docs-manager
sentiment-analyst
web-researcher
competitive-intel
data-analyst
executive-briefing-writer
distributor

Connections

Required

googlehubspotverslay_exclusive

What it does

Two-run send-then-analyze workflow
eNPS with tier breakdown
Critical signal detection
Department-level scoring
Prioritized recommendations

Example prompt

Which group should I survey (all employees, engineering, a specific department), what themes (workload, collaboration, management, remote work), how many questions (5 or 10), and how long should the collection window be (3, 5, or 7 days)? I will analyze sentiment and themes.

Ready to deploy Employee Satisfaction Pulse?

Start free. One click, full agent orchestration.

Get Started Free →

All Use Cases

Employee Satisfaction Pulse

Know how your team actually feels before they resign.

Run automated eNPS surveys and get a leadership report with sentiment themes and retention risks — without manual analysis. Catch dissatisfaction early and act before you lose your best people.

Best forEcommerceConsultingFinancial ServicesHealthcareMarketing AgencyProfessional ServicesSaaS

Agents7 required

Duration3-5 minutes

Two-session workflow: send survey then analyze responses with eNPS and theme extraction.

How it runs

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

Call verslay_recall to retrieve prior satisfaction pulse baselines, eNPS scores, and department-level satisfaction trends from memory. Connect to Google Drive to pull the latest employee satisfaction survey responses from the configured survey folder. Extract department, tenure band, role level, and numeric/open-text responses. Connect to HubSpot to pull any HR-logged notes about team concerns or recent manager escalations. Produce a raw satisfaction data corpus as Phase 1 output.

docs manager

Consume Phase 1 satisfaction corpus. Apply NLP sentiment scoring to open-text responses: classify themes (compensation, management, growth, culture, workload, recognition, remote/office). Calculate overall eNPS (Promoters − Detractors) and segment by department and tenure. Identify the top 3 positive themes and top 3 pain themes driving low scores. Produce a sentiment-coded satisfaction dataset for Phase 4.

sentiment analyst

In parallel with sentiment-analyst, call verslay_news_search for 'employee satisfaction benchmarks 2026' and 'eNPS industry average tech SaaS' to surface comparable satisfaction score benchmarks. Call verslay_scholar_search for academic research on drivers of employee satisfaction and effective intervention programs. Produce an industry satisfaction benchmarks 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. Extract Glassdoor review themes (management, culture, pay, growth, work-life balance) and overall star ratings. Compare competitor Glassdoor scores against the company's internal satisfaction themes to identify employer brand gaps. Produce a Glassdoor employer positioning report for Phase 4.

competitive intel

Consume Phase 2 sentiment dataset, Phase 2 benchmarks, and Phase 3 Glassdoor positioning. Build a satisfaction KPI table: eNPS, theme scores by department, benchmark comparison, and Glassdoor score vs competitors. Call verslay_chart_create to generate a department satisfaction heatmap and a theme distribution bar chart (positive vs negative). Produce an enriched synthesis package for Phase 5.

data analyst

Consume Phase 4 charts and synthesis, Phase 3 Glassdoor report, Phase 2 sentiment analysis, and Phase 2 benchmarks. Write the employee satisfaction pulse brief: overall eNPS with trend vs prior pulse, top positive and pain themes by department, benchmark comparison, Glassdoor employer gap analysis, and 5 recommended interventions ranked by impact. Call verslay_memorize to store the current eNPS, theme scores, and top pain points as baseline. Pass to distributor.

executive briefing writer

Receive the satisfaction pulse brief from executive-briefing-writer. Distribute to the configured HR and executive email or Slack channel. Confirm delivery and log the send timestamp.

distributor

Required Agents

docs-manager
sentiment-analyst
web-researcher
competitive-intel
data-analyst
executive-briefing-writer
distributor

Connections

Required

googlehubspotverslay_exclusive

What it does

Two-run send-then-analyze workflow
eNPS with tier breakdown
Critical signal detection
Department-level scoring
Prioritized recommendations

Example prompt

Which group should I survey (all employees, engineering, a specific department), what themes (workload, collaboration, management, remote work), how many questions (5 or 10), and how long should the collection window be (3, 5, or 7 days)? I will analyze sentiment and themes.

Ready to deploy Employee Satisfaction Pulse?

Start free. One click, full agent orchestration.

Get Started Free →

All Use Cases

Employee Satisfaction Pulse

Know how your team actually feels before they resign.

Run automated eNPS surveys and get a leadership report with sentiment themes and retention risks — without manual analysis. Catch dissatisfaction early and act before you lose your best people.

Best forEcommerceConsultingFinancial ServicesHealthcareMarketing AgencyProfessional ServicesSaaS

Agents7 required

Duration3-5 minutes

Two-session workflow: send survey then analyze responses with eNPS and theme extraction.

How it runs

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

Call verslay_recall to retrieve prior satisfaction pulse baselines, eNPS scores, and department-level satisfaction trends from memory. Connect to Google Drive to pull the latest employee satisfaction survey responses from the configured survey folder. Extract department, tenure band, role level, and numeric/open-text responses. Connect to HubSpot to pull any HR-logged notes about team concerns or recent manager escalations. Produce a raw satisfaction data corpus as Phase 1 output.

docs manager

Consume Phase 1 satisfaction corpus. Apply NLP sentiment scoring to open-text responses: classify themes (compensation, management, growth, culture, workload, recognition, remote/office). Calculate overall eNPS (Promoters − Detractors) and segment by department and tenure. Identify the top 3 positive themes and top 3 pain themes driving low scores. Produce a sentiment-coded satisfaction dataset for Phase 4.

sentiment analyst

In parallel with sentiment-analyst, call verslay_news_search for 'employee satisfaction benchmarks 2026' and 'eNPS industry average tech SaaS' to surface comparable satisfaction score benchmarks. Call verslay_scholar_search for academic research on drivers of employee satisfaction and effective intervention programs. Produce an industry satisfaction benchmarks 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. Extract Glassdoor review themes (management, culture, pay, growth, work-life balance) and overall star ratings. Compare competitor Glassdoor scores against the company's internal satisfaction themes to identify employer brand gaps. Produce a Glassdoor employer positioning report for Phase 4.

competitive intel

Consume Phase 2 sentiment dataset, Phase 2 benchmarks, and Phase 3 Glassdoor positioning. Build a satisfaction KPI table: eNPS, theme scores by department, benchmark comparison, and Glassdoor score vs competitors. Call verslay_chart_create to generate a department satisfaction heatmap and a theme distribution bar chart (positive vs negative). Produce an enriched synthesis package for Phase 5.

data analyst

Consume Phase 4 charts and synthesis, Phase 3 Glassdoor report, Phase 2 sentiment analysis, and Phase 2 benchmarks. Write the employee satisfaction pulse brief: overall eNPS with trend vs prior pulse, top positive and pain themes by department, benchmark comparison, Glassdoor employer gap analysis, and 5 recommended interventions ranked by impact. Call verslay_memorize to store the current eNPS, theme scores, and top pain points as baseline. Pass to distributor.

executive briefing writer

Receive the satisfaction pulse brief from executive-briefing-writer. Distribute to the configured HR and executive email or Slack channel. Confirm delivery and log the send timestamp.

distributor

Required Agents

docs-manager
sentiment-analyst
web-researcher
competitive-intel
data-analyst
executive-briefing-writer
distributor

Connections

Required

googlehubspotverslay_exclusive

What it does

Two-run send-then-analyze workflow
eNPS with tier breakdown
Critical signal detection
Department-level scoring
Prioritized recommendations

Example prompt

Which group should I survey (all employees, engineering, a specific department), what themes (workload, collaboration, management, remote work), how many questions (5 or 10), and how long should the collection window be (3, 5, or 7 days)? I will analyze sentiment and themes.

Ready to deploy Employee Satisfaction Pulse?

Start free. One click, full agent orchestration.

Get Started Free →