AI agents that run your ops workflows.
Buda gives operations teams persistent AI agents for reporting, data aggregation, cross-system sync, approvals, and exception monitoring — cloud-native, no hardware setup.
Ops teams spend more time on process than on decisions.
Pulling data from four systems, reconciling numbers, writing the narrative, and formatting for leadership — every Friday, by hand.
CRM, Notion, Airtable, and Slack hold different versions of the same data, and ops teams reconcile them after stakeholders notice.
A vendor contract or budget request sits in someone's inbox while the requester follows up on Slack.
SLA breaches, data gaps, and budget variances surface when a stakeholder asks about them, not when they happen.
AI agents that run the process work so ops leads can run the business.
AI agents that run your ops workflows automatically
Data aggregation, report writing, system sync, and approval routing run on a schedule — triggered automatically and handed to the ops lead for review.
See capabilities
Process context that carries across every cycle
Buda stores KPI definitions, data source mappings, exception thresholds, and prior run outputs in the shared Drive. Agents build on what they already know.
Start with context
Reviewable outputs before they reach leadership
Every agent output — report, sync log, approval summary, exception alert — lands in the team review queue before anything goes upstream or downstream.
See workflowsSix AI agents for the full operations workflow.
Buda gives operations teams persistent agents for reporting, syncing, approvals, monitoring, and documentation.
Data aggregation agent
Pulls data from CRM, dashboards, ticketing systems, and spreadsheets on a schedule — reconciled, deduplicated, and ready for reporting.
Automated reporting
Drafts structured weekly ops reports from aggregated data, with narrative context the ops lead edits before sending to leadership.
Cross-system sync
Keeps CRM, Notion, Airtable, and Slack in alignment on a schedule — logging conflicts and surfacing discrepancies for human decisions.
Approval workflow automation
Receives requests, extracts key details, routes to the correct approver, logs decisions, and escalates stalled items.
Exception monitoring
Watches for SLA breaches, data gaps, budget variances, and process anomalies, flagging exceptions in real time.
Process documentation
Generates and updates process documentation from agent run history, reflecting how the workflow actually operates.
Automate your first ops workflow in 30 minutes.
Pick one recurring workflow, add real process context, run the first artifact, and review it before expanding.
Start with the ops workflow that costs your team the most time per week.
Choose one repeated operations workflow with clear inputs, a visible owner, and a reviewable output.
Weekly operations report
Buda agents pull data from four systems, reconcile the numbers, write the structured summary, and queue the draft for ops lead review every Friday morning.
Start this workflowMulti-system data sync
Agents sync Salesforce, HubSpot, Notion, and Airtable every six hours, logging clean syncs and surfacing conflicts before they cascade downstream.
Sync systemsApproval and escalation flow
Agent extracts request details, matches the approval matrix, routes to the right approver, and escalates anything stalled beyond the SLA.
Route approvalsOps exception monitoring
Agents watch for SLA breaches, data gaps, and budget variances, routing each exception to the right owner with context before weekly review.
Monitor exceptionsPilot AI business automation in four weeks.
Start with one high-cost manual workflow, connect the right sources, run one real cycle, then expand after review.
Pick your highest-cost manual workflow
Start with reporting, cross-system sync, approvals, or exception monitoring — the workflows that repeat and produce clear artifacts.
Connect data sources and load process context
Add dashboards, CRM records, spreadsheets, KPI definitions, approval rules, and exception thresholds to the workspace.
Run the agent on one real ops cycle
Let the agent produce a report, sync log, approval summary, or exception digest. Review before anything moves downstream.
Expand to more workflows and team members
Once the first workflow is trusted, add more cycles, owners, and review paths.
Give your operations team AI agents that run the process work.
Automate reporting, data aggregation, sync, approvals, and monitoring in one persistent Buda workspace.