mgmt.do
Automate Management, Focus on Strategy
AI agents handle routine management tasks—performance tracking, reporting, resource allocation, and stakeholder updates. Gather data from all systems, generate insights automatically, and deliver executive summaries—reduce administrative overhead by 70% while improving decision quality and consistency.
import { Mgmt } from 'mgmt.do' // Automate executive reportingMgmt.every.week.on.Monday($ => { const data = { revenue: $.Stripe.calculate.MRR(), customers: $.Salesforce.query.Growth(), operations: $.Datadog.query.Health() } const report = $.AI.generate.Summary({ data, format: 'pdf' }) $.Email.send.to.Leadership({ subject: 'Weekly Update', attachment: report })})
Frequently asked questions
Weekly/monthly executive reporting, team performance reviews, resource capacity planning, budget tracking and forecasting, project status updates, risk assessment, vendor management, compliance monitoring, and stakeholder communications. AI agents gather data from 50+ connected systems (Jira, GitHub, Salesforce, Stripe, etc.), analyze trends, generate insights, create professional reports, and distribute to stakeholders—all automated with zero manual work.
Typical manager spends 20-30 hours/month on reporting, data gathering, and status updates. Mgmt.do reduces this to <5 hours—70-80% time savings. Managers focus on strategy, team development, and decision-making instead of manual data compilation. Teams report 40% faster decision cycles and 60% reduction in status update meetings. ROI typically 10-20x subscription cost in saved time.
Yes. AI generates different report formats for different stakeholders: technical details for engineering, financial metrics for CFO, growth numbers for board, and customer insights for product team. Same data, different presentations. Configure report templates, visualization styles, and detail levels per audience. Schedule automated delivery on custom cadences. Export to PDF, PowerPoint, or interactive dashboards.
AI analyzes historical patterns, current state, and industry benchmarks to recommend decisions: "Hire 3 engineers in Q2 to meet roadmap commitments" or "Shift budget from paid ads to content marketing—CAC trends favor organic." Recommendations include confidence scores, supporting data, predicted outcomes, risks, and alternative options. Track recommendation outcomes over time to improve AI accuracy. Human always makes final decision—AI provides data-driven options.
Project management (Jira, Asana, Linear, Monday), code repositories (GitHub, GitLab), communication (Slack, Teams), CRM (Salesforce, HubSpot), finance (Stripe, QuickBooks, Xero), HR (BambooHR, Workday), operations (PagerDuty, Datadog, Sentry), productivity (Google Workspace, Office 365), and 50+ more via API. All integrations support read/write—gather data and push updates. Custom integrations via webhooks and REST APIs.