Executed Workflows
Multi-step processes running on schedule or trigger, with exception handling and audit trails.
Automate Processes, Coordinate Teams, Report in Real Time
Your operational backbone running without constant supervision. From form processing to vendor management to executive reporting, your AI operations team handles the work that keeps the business running but nobody has time for.
Each team member owns a domain. One executes multi-step workflows and handles exceptions. Another tracks every vendor contract, SLA, and renewal. Another pulls data from your systems and turns it into reports your leadership team actually reads.
This is not a workflow builder or a BI dashboard. These are autonomous operations employees that execute processes, catch problems, and surface insights. They understand your business rhythms and adapt to your operational cadence.
Multi-step processes running on schedule or trigger, with exception handling and audit trails.
Live view of all vendor relationships: contracts, SLAs, spend, performance, and upcoming renewals.
Auto-generated weekly, monthly, and quarterly reports from live operational data.
Board-ready packages that highlight key metrics, trends, and areas requiring attention.
Real-time notifications when operational metrics move outside expected ranges, with root cause context.
Auto-documented workflows with step-by-step breakdowns, exception logs, and performance metrics.
Runs complex operational workflows end to end. Form intake, data validation, routing, approvals, and completion tracking. All without manual triggers.
Detects edge cases and anomalies during process execution. Flags them with context and suggested resolutions instead of silently failing.
Monitors every vendor relationship from contract signing to renewal. Tracks SLAs, spend, performance, and communications in one place.
Compares vendor performance against contracted SLAs in real-time. Documents breaches with evidence the moment they occur.
Pulls data from your systems, formats it consistently, and delivers reports on schedule. Weekly updates, monthly reviews, quarterly packages.
Identifies when operational metrics deviate from normal patterns. Reports what changed, when, and provides likely causes.
Tracks handoffs between teams, sends follow-up reminders, and escalates delays. Makes sure nothing gets stuck between departments.
Every action, decision, and exception is logged with timestamps and context. Full traceability for compliance and process improvement.
| Dimension | Traditional | With Sista |
|---|---|---|
| Process reliability | Depends on who is available to run it | Runs 24/7 with consistent execution |
| Vendor oversight | Spreadsheets updated before renewals (maybe) | Continuous monitoring with proactive alerts |
| Report generation | 4-8 hours assembling data from multiple tools | Auto-generated from live data on schedule |
| Exception handling | Discovered when something breaks downstream | Caught in real-time with context and suggested fix |
| Cost | $55K-80K/year per operations coordinator | Fraction of one hire |
| Scaling | More processes = more people = more management | Add processes without adding headcount |
| Knowledge retention | Tribal knowledge leaves with employees | Every process documented and retained permanently |
| Cross-team visibility | Requires meetings and status emails | Real-time dashboards and automated updates |
Every company has dozens of operational processes that keep the business running. Order processing, vendor payments, compliance checks, inventory updates, employee requests, data reconciliation. These processes are critical, but they are also repetitive, time-consuming, and error-prone when done manually.
Your AI operations team takes these processes off your plate. Describe the workflow, connect the systems, and let the AI execute it with the consistency and reliability that manual processes can never match. Your operations coordinators stop being process runners and start being process improvers.
Most companies manage vendor relationships reactively. Someone remembers a renewal is coming, scrambles to review the contract, and either auto-renews without negotiating or rushes a last-minute evaluation. SLA breaches go unnoticed until the quarterly business review.
Your AI operations team monitors every vendor relationship continuously. Contract terms, performance metrics, spend trends, and communication history are tracked in real-time. Renewals get flagged weeks in advance with full context so your team negotiates from a position of strength, not surprise.
Operational reporting is the tax everyone pays and nobody enjoys. Pull numbers from the CRM, export data from the project tracker, grab metrics from the billing system, format it all into slides. By the time the report is done, the data is already stale.
Your AI operations team generates reports from your live data sources on whatever schedule you define. Weekly team updates, monthly executive reviews, quarterly board packages. Every number is current, every trend is explained, and every anomaly is highlighted. Your team reads insights instead of building spreadsheets.
The biggest operational bottleneck is not any single process. It is the handoffs between teams. Marketing hands off to sales. Sales hands off to onboarding. Onboarding hands off to customer success. Each handoff is a chance for things to fall through the cracks.
Your AI operations team tracks every cross-team handoff. It monitors deadlines, sends follow-up reminders, and escalates delays to the right people. Nothing gets stuck in someone inbox for three days. Nothing gets dropped because it was not in anyone task list. Every handoff is tracked, every deadline is enforced.
We automated 12 manual processes in the first month. Our ops team went from firefighting to actually improving how we work.
Vendor management used to be a black hole. Now we catch SLA breaches the same day and walk into renewals with full context and negotiation power.
Our weekly status report used to take someone 4 hours every Friday. Now it generates itself from live data by Thursday evening.
Zapier and Make are trigger-action automation builders. Your AI operations team is autonomous. They understand context, handle exceptions, make judgment calls, and adapt when processes change. You describe what you want done, not how to wire it step by step.
Any multi-step operational process: form processing, data routing, approval chains, vendor payments, inventory updates, compliance checks, onboarding workflows, report generation, and more. If it involves reading data, making decisions, and taking actions across systems, your AI team can handle it.
Yes. One-click OAuth to connect Google Workspace, Slack, Notion, Jira, QuickBooks, NetSuite, Salesforce, and thousands of other tools. Your AI team works inside the systems you already use.
The AI flags the exception with full context: what happened, what it expected, what it recommends. Your team reviews and resolves the exception, and the AI learns from the resolution to handle similar cases in the future.
Your AI team connects to your data sources via OAuth integrations and APIs. It reads data directly from your tools, formats it consistently, and generates reports. No manual data export or copy-paste required.
Yes. Define which metrics to track, how to format them, who receives them, and on what schedule. Include KPIs, trend analysis, anomaly alerts, and executive summaries. Each report is tailored to its audience.
Your AI team monitors and reports on vendor relationships. It flags renewals, tracks SLAs, and prepares negotiation context. All decisions about renewals, terminations, and negotiations remain with your team.
Enterprise-grade security with SOC 2 compliance, encryption at rest and in transit, and strict access controls. Your operational data is never used to train AI models. Full audit trails for every action.