Tool silos
Single AI tools do not create reliable end-to-end workflows.
AI Agent Orchestration
Kontrollierte AI Workflows für wiederkehrende operative Arbeit bauen
Wir mappen, prototypisieren und operationalisieren AI Agent Workflows, die Tools, Daten, QA-Checks und menschliche Freigaben verbinden, damit Teams wiederkehrende Arbeit automatisieren können, ohne Kontrolle zu verlieren.
Founder-Erfahrung mit Teams und Marken wietrivagoCoIQinneOviva
InputBrief, data, files
Research AgentCollects and analyzes information
Analysis AgentStructures and evaluates
Drafting AgentCreates drafts and outputs
QA AgentChecks quality
Human ApprovalReview and release
ExecutionPublishing and automation
Warum AI-Piloten selten zu Business Workflows werden
Die meisten Teams können AI Tools testen. Schwer ist es, daraus zuverlässige, prüfbare Workflows zu machen, die echte Daten, Edge Cases und Team-Handoffs überstehen.
Context breaks
Inputs, decisions and files are passed inconsistently between steps.
No QA layer
Outputs are used before quality, policy or brand checks happen.
No approval gate
Teams do not know where human judgment belongs.
No logs
When something fails, nobody can inspect what happened.
Control model
Eine praktische Kontrollschicht für Agent Workflows: was Agents lesen dürfen, was sie tun dürfen, wann sie fragen müssen und wie jede Entscheidung überprüfbar bleibt.
Source systems
Define which CRMs, documents, dashboards, inboxes or databases the workflow can read.
APIs and tools
Specify the actions agents may trigger and which systems require human confirmation.
Agent roles
Split research, drafting, checking and execution into clear responsibilities.
QA checks
Add quality, consistency, factual and policy checks before release.
Approval gate
Route important outputs to a named human owner before publishing or sending.
Logs and override
Record inputs, outputs, decisions and exceptions so a person can pause, correct or reroute the workflow.
Den passenden Startpunkt wählen
Was Sie mitnehmen
Discovery Sprint
Map processes, evaluate opportunities and define prioritized workflows.
Agent Workflow Audit buchen →Prototype Build
Design, test and validate one controlled workflow.
Agent Workflow Audit buchen →Agent Operating System
Scale governance, enable teams and improve the system over real usage.
Agent Workflow Audit buchen →Was Sie mitnehmen
Opportunity map
Prioritized workflows based on frequency, risk, data access and expected leverage.
Workflow blueprint
Roles, handoffs, states, approval points and exception paths.
Integration spec
Required tools, APIs, permissions and data sources.
Prompt and guardrail library
Reusable instructions, examples, checks and escalation rules.
Pilot workflow
A working first version tested on real tasks with human review.
Operating playbook
Documentation for owners, cadence, QA and continuous improvement.
Wo Agent Workflows meist zuerst Wirkung zeigen
CRM enrichment agent
Researches accounts, prepares CRM updates and routes proposed changes to sales or RevOps before anything is written back.
Slack approval workflow
Sends drafts, exceptions and decisions to the right owner before execution.
Knowledge agent for Notion or Drive
Finds, structures and cites company knowledge for repeated tasks.
Reporting QA agent
Checks recurring reports for anomalies, missing context and decision risks before leadership sees the summary.
n8n or Make automation pilot
Turns a repeated process into a tested workflow with human gates.
Content repurposing workflow
Converts approved assets into channel-specific drafts with QA and approval.
Den ersten Workflow finden, den es zu automatisieren lohnt
In einem Audit identifizieren wir Prozess, Systeme, Freigabepunkte und Risiken und definieren den schnellsten kontrollierten Pilot.