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

Sales

Sales Forecast Generator

Data-driven forecasts your team actually believes in.

Generate 3-scenario pipeline forecasts with confidence intervals using historical win rates and live deal data — not wishful thinking. Make hiring and budget decisions with real revenue visibility.

Best forConsultingFinancial ServicesProfessional ServicesSaaS

Agents6 required

Duration3-5 minutes

Pulls pipeline data, applies historical win rates, and produces 3-scenario forecast models.

How it runs

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

Call verslay_recall to retrieve prior forecast baselines, historical win rates by stage, and seasonality patterns stored in memory. Scan HubSpot CRM for all open deals: pull deal name, stage, amount, close date, deal source, and rep assignment. Also pull closed-won and closed-lost deals for the past 6 months to establish historical conversion rates. Produce a full pipeline-and-history manifest as Phase 1 output.

crm scanner

Call verslay_news_search to surface macroeconomic signals, industry spending outlook, and sector-specific budget cycle reports for the target quarter. Call verslay_scholar_search for published B2B sales forecasting methodologies and industry growth rate benchmarks. Produce an industry-outlook brief to contextualize the forecast.

web researcher

In parallel with web-researcher, consume Phase 1 pipeline manifest and historical conversion rates. Apply a weighted forecast model: assign probability weights per pipeline stage based on historical win rates. Calculate best-case, commit, and worst-case forecast scenarios for the current quarter. Produce a scenario-forecast table.

forecast modeler

Consume Phase 2 scenario-forecast table and industry-outlook brief. Adjust probability weights for macro-risk signals identified in the research (e.g., budget-freeze quarters, competitor pricing events). Call verslay_chart_create to generate a forecast waterfall chart (by stage and scenario), a rep-level attainment projection, and a quarterly trend comparison. Produce the final data package.

data analyst

Consume Phase 3 adjusted forecast data and charts. Write the executive sales forecast brief: total pipeline coverage ratio, commit/best-case/worst-case by rep and segment, macro-risk adjustments explained, top 5 deals that must close to hit commit, and next-quarter early signals. Call verslay_memorize to store updated forecast model parameters, win rates, and period results in memory.

executive briefing writer

Receive the executive forecast brief and charts from Phase 4. Deliver the forecast report to the VP of Sales and revenue leadership via the configured channel. Save forecast document to Google Drive. Confirm all deliveries.

distributor

Required Agents

crm-scanner
web-researcher
forecast-modeler
data-analyst
executive-briefing-writer
distributor

Connections

Required

hubspot

What it does

3-scenario modeling
Month-by-month breakdown
Gap-to-quota analysis
Rep-level adjustments
Multi-currency support

Example prompt

Which quarter should I forecast and across which dimensions (rep, region, product line)? I will produce best/base/worst scenarios with assumptions and confidence levels, based on current pipeline, historical win rates, and seasonality.

Ready to deploy Sales Forecast Generator?

Start free. One click, full agent orchestration.

Get Started Free →

All Use Cases

Sales

Sales Forecast Generator

Data-driven forecasts your team actually believes in.

Generate 3-scenario pipeline forecasts with confidence intervals using historical win rates and live deal data — not wishful thinking. Make hiring and budget decisions with real revenue visibility.

Best forConsultingFinancial ServicesProfessional ServicesSaaS

Agents6 required

Duration3-5 minutes

Pulls pipeline data, applies historical win rates, and produces 3-scenario forecast models.

How it runs

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

Call verslay_recall to retrieve prior forecast baselines, historical win rates by stage, and seasonality patterns stored in memory. Scan HubSpot CRM for all open deals: pull deal name, stage, amount, close date, deal source, and rep assignment. Also pull closed-won and closed-lost deals for the past 6 months to establish historical conversion rates. Produce a full pipeline-and-history manifest as Phase 1 output.

crm scanner

Call verslay_news_search to surface macroeconomic signals, industry spending outlook, and sector-specific budget cycle reports for the target quarter. Call verslay_scholar_search for published B2B sales forecasting methodologies and industry growth rate benchmarks. Produce an industry-outlook brief to contextualize the forecast.

web researcher

In parallel with web-researcher, consume Phase 1 pipeline manifest and historical conversion rates. Apply a weighted forecast model: assign probability weights per pipeline stage based on historical win rates. Calculate best-case, commit, and worst-case forecast scenarios for the current quarter. Produce a scenario-forecast table.

forecast modeler

Consume Phase 2 scenario-forecast table and industry-outlook brief. Adjust probability weights for macro-risk signals identified in the research (e.g., budget-freeze quarters, competitor pricing events). Call verslay_chart_create to generate a forecast waterfall chart (by stage and scenario), a rep-level attainment projection, and a quarterly trend comparison. Produce the final data package.

data analyst

Consume Phase 3 adjusted forecast data and charts. Write the executive sales forecast brief: total pipeline coverage ratio, commit/best-case/worst-case by rep and segment, macro-risk adjustments explained, top 5 deals that must close to hit commit, and next-quarter early signals. Call verslay_memorize to store updated forecast model parameters, win rates, and period results in memory.

executive briefing writer

Receive the executive forecast brief and charts from Phase 4. Deliver the forecast report to the VP of Sales and revenue leadership via the configured channel. Save forecast document to Google Drive. Confirm all deliveries.

distributor

Required Agents

crm-scanner
web-researcher
forecast-modeler
data-analyst
executive-briefing-writer
distributor

Connections

Required

hubspot

What it does

3-scenario modeling
Month-by-month breakdown
Gap-to-quota analysis
Rep-level adjustments
Multi-currency support

Example prompt

Which quarter should I forecast and across which dimensions (rep, region, product line)? I will produce best/base/worst scenarios with assumptions and confidence levels, based on current pipeline, historical win rates, and seasonality.

Ready to deploy Sales Forecast Generator?

Start free. One click, full agent orchestration.

Get Started Free →

All Use Cases

Sales

Sales Forecast Generator

Data-driven forecasts your team actually believes in.

Generate 3-scenario pipeline forecasts with confidence intervals using historical win rates and live deal data — not wishful thinking. Make hiring and budget decisions with real revenue visibility.

Best forConsultingFinancial ServicesProfessional ServicesSaaS

Agents6 required

Duration3-5 minutes

Pulls pipeline data, applies historical win rates, and produces 3-scenario forecast models.

How it runs

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

Call verslay_recall to retrieve prior forecast baselines, historical win rates by stage, and seasonality patterns stored in memory. Scan HubSpot CRM for all open deals: pull deal name, stage, amount, close date, deal source, and rep assignment. Also pull closed-won and closed-lost deals for the past 6 months to establish historical conversion rates. Produce a full pipeline-and-history manifest as Phase 1 output.

crm scanner

Call verslay_news_search to surface macroeconomic signals, industry spending outlook, and sector-specific budget cycle reports for the target quarter. Call verslay_scholar_search for published B2B sales forecasting methodologies and industry growth rate benchmarks. Produce an industry-outlook brief to contextualize the forecast.

web researcher

In parallel with web-researcher, consume Phase 1 pipeline manifest and historical conversion rates. Apply a weighted forecast model: assign probability weights per pipeline stage based on historical win rates. Calculate best-case, commit, and worst-case forecast scenarios for the current quarter. Produce a scenario-forecast table.

forecast modeler

Consume Phase 2 scenario-forecast table and industry-outlook brief. Adjust probability weights for macro-risk signals identified in the research (e.g., budget-freeze quarters, competitor pricing events). Call verslay_chart_create to generate a forecast waterfall chart (by stage and scenario), a rep-level attainment projection, and a quarterly trend comparison. Produce the final data package.

data analyst

Consume Phase 3 adjusted forecast data and charts. Write the executive sales forecast brief: total pipeline coverage ratio, commit/best-case/worst-case by rep and segment, macro-risk adjustments explained, top 5 deals that must close to hit commit, and next-quarter early signals. Call verslay_memorize to store updated forecast model parameters, win rates, and period results in memory.

executive briefing writer

Receive the executive forecast brief and charts from Phase 4. Deliver the forecast report to the VP of Sales and revenue leadership via the configured channel. Save forecast document to Google Drive. Confirm all deliveries.

distributor

Required Agents

crm-scanner
web-researcher
forecast-modeler
data-analyst
executive-briefing-writer
distributor

Connections

Required

hubspot

What it does

3-scenario modeling
Month-by-month breakdown
Gap-to-quota analysis
Rep-level adjustments
Multi-currency support

Example prompt

Which quarter should I forecast and across which dimensions (rep, region, product line)? I will produce best/base/worst scenarios with assumptions and confidence levels, based on current pipeline, historical win rates, and seasonality.

Ready to deploy Sales Forecast Generator?

Start free. One click, full agent orchestration.

Get Started Free →