RPA & Workflow Systems

Hybrid approach: API where it exists, browser where it must, agent where it makes sense

We analyze every process by step: which steps have APIs (Salesforce, HubSpot, Pipedrive, Slack, Notion, Airtable, Linear, Jira, Asana, Google Workspace, Microsoft 365 — most do), which require browser automation (legacy ERPs, bank panels, certain vertical tools), and which require reasoning (classification, parsing, judgment in atypical cases — that is where the AI agent comes in).

Result: a process that turns two hours of operator time per day into 5 minutes of reviewing a report that shows what the system did and whether intervention is needed.

Temporal as the backbone, not n8n

n8n and Zapier are excellent for prototypes. For business-critical production processes we use Temporal — a workflow engine that guarantees the process completes even if the server crashes mid-run, that retries are idempotent, and that the whole thing is auditable. That is the difference between "usually works" and "works, period".

For smaller processes (or as a helper layer) we use n8n or our custom runtime. The decision depends on criticality.

Exception handling, because business processes misbehave

Every process has scenarios nobody predicted. Our method is explicit exception categorization: known (with a runbook), unknown (escalated to a human with context), critical (pauses the process and alerts the team). Six months after deployment, the process handles 95–98% of cases on its own. The rest is operator work — brief, conscious, well documented.

What you get

• As-is and to-be process diagrams
• Workflow implementation in Temporal or n8n
• Integrations with client systems via API and browser
• Operator dashboard with exception queue
• Runbooks for common scenarios
• Efficiency and time-saved reporting

Stack