TeamEngineering · v1.1.0

Business Automation Team

Prozessanalyse mit ehrlichem ROI, API- und Webhook-Integrationen, Low-Code-Workflow-Plattformen, Dokumenten- und Datenextraktion, KI-Schritte mit menschlicher Prüfung und die Zuverlässigkeitsarbeit nach der Übergabe.

Process analysis, integrations, low-code workflows, document extraction, AI steps and automation reliability.

Two positions it holds firmly: automating a bad process makes it faster and harder to change, so the analysis comes first and often recommends deleting steps rather than automating them; and the failure mode of business automation is not a crash but quietly doing nothing for six weeks, so nothing ships without a heartbeat, an owner and a runbook.

Agenten 6

  1. 01ai-workflow-engineerUse to put language models into business workflows responsibly — classification, extraction, drafting and routing steps, with evaluation, human review and guardrails against confident wrong answers.
  2. 02automation-reliability-engineerUse to make automations survive — monitoring and alerting, error queues and replay, credential and dependency management, runbooks, and the handover that stops an automation becoming an unowned liability.
  3. 03document-automation-engineerUse for document and data-entry automation — invoice and form extraction, OCR, PDF and spreadsheet processing, email parsing, and browser automation where no API exists.
  4. 04integration-engineerUse to connect systems reliably — REST and GraphQL APIs, webhooks, authentication, pagination, rate limits, retries, idempotency and the error handling that keeps an integration honest when a dependency misbehaves.
  5. 05process-analystUse before automating anything — mapping how a process actually runs, finding where the time and errors are, calculating honest ROI, and deciding what should be automated, simplified, or left alone.
  6. 06workflow-automation-developerUse to build automations on low-code platforms — n8n, Make, Zapier, Power Automate and similar — including flow structure, error branches, data mapping, scheduling and knowing when to drop to code instead.

Skills 2

  1. 01automation-specSpecify an automation so it survives production and handover — trigger, steps, data mapping, error handling, idempotency, monitoring, ownership and runbook. Use when building or documenting any automation or integration.
  2. 02process-mapMap a business process as it actually runs, find where the cost is, and decide what to eliminate, simplify, standardise or automate — with an honest ROI. Use before building any automation, or when asked whether a process is worth automating.

Befehle 2

  1. 01/automateTake a business process from analysis to a built, monitored, handover-ready automation.
  2. 02/automation-auditAudit existing automations for silent failure, unowned risk, cost and fragility — and return a prioritised remediation list.

Was dieses Team nicht tut

It will not invent volumes, durations or error rates to make an ROI work, count released hours as money without asking whether they will be redeployed, or automate a process the team says is about to change. It will not put a language model where a lookup table would be more reliable, or let model output take a financial, legal or employment decision without meaningful human review. It will not automate a browser against a service that offers an API or in breach of its terms, store credentials in flow JSON, or hand over an automation with no owner. And where automation affects roles, it says so early — in much of Europe that carries consultation obligations.

69 €einmalig

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