Scheduled Tasks
Set tasks to run at specific times: every morning, every Monday, the first of each month. Your AI employee executes on schedule with the same quality every time. No drift, no forgotten follow-ups, no human reminders needed.
Set It and Forget It
Your AI employees work on autopilot. Schedule recurring tasks, run browser workflows, and let sprints drive progress without constant supervision.
Sistava turns your AI employees into autonomous workers. Schedule tasks that run daily, weekly, or monthly. Set up browser and desktop automation for repetitive workflows. Organize work into sprints with clear deliverables. Your AI employees execute consistently without reminders, follow-ups, or babysitting.
Overview
Most AI tools wait for you to tell them what to do. That is useful, but it is not automation. Real automation means your AI employees take initiative, follow schedules, and complete work without being prompted.
Sistava provides three layers of automation. Scheduled tasks run at fixed intervals: daily reports, weekly summaries, monthly audits. The task board holds one-off and recurring assignments that your AI employee works through independently. Browser and desktop automation handles workflows that require interacting with web applications and desktop software.
Sprints tie everything together. Define a set of deliverables for the week, assign them to your AI employee, and track progress on the sprint board. Your AI employee plans its own workload, updates task status, and delivers results on schedule.
Before / After
- Before: You set reminders to prompt your AI tool every Monday morning. You copy-paste the same instructions, check the output, and forward it to the right person. You are the automation layer.
After: Schedule the task once. Your AI employee runs it every Monday at 9 AM, produces the output, and delivers it to the right channel. You review results, not triggers. - Before: Repetitive browser tasks eat hours every week: checking competitor pricing, updating CRM records from LinkedIn, scraping review sites, filling out web forms. Too mundane for people, too complex for simple scripts.
After: AI employees operate a browser just like a human. They navigate websites, fill forms, extract data, and complete multi-step browser workflows autonomously. - Before: Your team spends 30 minutes every morning in a standup meeting where 80% of the updates are status checks that could be automated. The meeting exists because nobody trusts the project management tool to be current.
After: AI employees update task boards, write daily summaries, and flag blockers automatically. Your standups shrink to 10 minutes of actual decision-making. - Before: You have a list of 50 tasks you wish someone would handle, but each one is too small to justify hiring. They pile up, slow things down, and create a constant background anxiety.
After: Queue them up as tasks for your AI employee. It works through the list methodically, reports completion, and asks only when it genuinely needs clarification.
Benefits
Recurring Work Patterns
Define repeating workflows: daily social media posts, weekly competitor analysis, monthly financial summaries. Each execution builds on previous results, so the AI employee improves its output over time.
Browser Automation
AI employees control a web browser to complete tasks that require navigating websites. Data scraping, form filling, multi-step web workflows, and anything else you would do manually in Chrome. They handle login flows, CAPTCHAs, and dynamic content.
Desktop Automation
Extend automation beyond the browser to desktop applications. Your AI employee operates spreadsheets, design tools, email clients, and enterprise software through the same natural interaction model.
Sprint-Based Work Cycles
Organize work into weekly or biweekly sprints. Define deliverables, set priorities, and let your AI employee plan its own task breakdown. Track progress in real time and review completed work at the end of each sprint.
Task Board Management
Assign tasks through a visual board with status tracking. Your AI employee picks up tasks in priority order, updates status as it works, and marks tasks complete when finished. You see progress at a glance.
How It Works
- Define Your Tasks — Create tasks in the dashboard or through the API. Specify what needs to be done, how often, and what the expected output looks like. Attach reference materials, examples, or templates for consistent results.
- Set Schedules and Triggers — Choose when each task runs: specific times, recurring intervals, or event-based triggers. Combine schedules with conditions, like "run every Monday, but only if there are new items in the queue."
- Let It Run — Your AI employee executes tasks autonomously. It navigates browsers, calls APIs, generates content, and delivers results to your preferred channel. Execution logs show exactly what happened at each step.
- Review and Refine — Check results, provide feedback, and refine instructions. Your AI employee learns from corrections and adjusts its approach. Over time, the quality of automated work improves without re-configuring anything.
Comparison
| Dimension | Traditional | With Sista |
|---|---|---|
| Setup complexity | Build Zapier/Make flows with triggers, filters, and actions. Debug when steps fail. Pay per execution | Describe the task in plain language. The AI employee figures out the steps. Pay a flat rate |
| Browser-based tasks | Write Selenium or Puppeteer scripts. Maintain them when websites change their layout. Scripts break monthly | AI employee navigates visually, like a human. Adapts automatically when page layouts change |
| Error handling | Automation stops on unexpected input. Requires manual intervention to resume. Alerts pile up | AI employee reasons about errors, retries intelligently, and escalates only when truly stuck |
| Scheduling flexibility | Cron syntax or fixed interval options. Complex conditions require additional automation layers | Natural language scheduling. "Every weekday at 9 AM except holidays" works without extra configuration |
| Task complexity limit | Each step in the workflow must be pre-defined. Adding a step means rebuilding the flow | AI employee handles multi-step, branching tasks that adapt based on intermediate results |
| Learning from execution | Automation runs the same way forever. No improvement without manual updates | AI employee learns from feedback and past executions. Output quality improves over time |
FAQ
What types of tasks can be automated?
Anything you can describe in words. Common examples: daily report generation, weekly competitor monitoring, social media posting schedules, CRM data cleanup, invoice processing, email follow-ups, data extraction from websites, and document creation. If a human can do it on a computer, an AI employee can automate it.
How does browser automation work?
Your AI employee controls a real web browser. It navigates to URLs, clicks buttons, fills forms, reads content, downloads files, and completes multi-step workflows. Unlike script-based automation, it understands the page visually and adapts when layouts change. It handles login flows, dynamic content, and even CAPTCHAs.
Can I set up tasks that run on a schedule?
Yes. You can schedule tasks to run at any interval: every hour, daily at a specific time, weekly on certain days, monthly, or on custom schedules. Each execution produces a result that is logged and delivered to your preferred channel.
What happens if an automated task fails?
The AI employee attempts to resolve the issue on its own, trying alternative approaches or workarounds. If it truly cannot proceed, it logs the failure with a detailed explanation, notifies you, and suggests what needs to change. It does not silently fail or retry infinitely.
How do sprints work with AI employees?
Define a sprint duration (typically one or two weeks) and add deliverables. Your AI employee breaks deliverables into tasks, prioritizes them, and works through the list. You track progress on the sprint board and review completed work at the end of the sprint. Unfinished items carry over automatically.
Can automation tasks use my connected apps?
Yes. Automated tasks have access to all tools and app connections assigned to the AI employee. A scheduled task that says "pull new leads from HubSpot and update the tracking spreadsheet in Google Sheets" uses both connections in the same execution.