Traditional workflows follow rigid rules. Agentic workflows use AI to reason, adapt, and make decisions. Build workflows that handle complexity without breaking.
Agentic workflows combine the reliability of automation with the intelligence of AI. Define your goals. The workflow figures out how to achieve them.
Traditional automation breaks when data is messy or situations are ambiguous. Agentic workflows use AI to interpret context and make judgment calls, just like a human would.
Combine deterministic steps with AI reasoning.
Describe what the workflow should accomplish. What triggers it, what decisions it needs to make, what outcomes matter.
Insert AI decision points where judgment is needed. Classification, prioritization, personalization, analysis.
Define constraints and boundaries. What the AI can and cannot do. When to escalate to humans.
Run the workflow. Review decisions. Refine prompts and rules based on results.
See the difference AI reasoning makes.
AI analyzes lead data and routes to the right rep based on fit, territory, and capacity.
AI reads tickets, determines urgency and category, routes to the right team.
AI researches prospects and crafts personalized messages at scale.
AI categorizes, tags, and routes content based on topic and intent.
AI monitors data streams and flags issues that need human attention.
Agentic does not mean unpredictable. Miniloop combines AI reasoning with deterministic workflows. You get intelligence and reliability.
Lead Enrichment
Apollo → HubSpot
Email Outreach
Gmail sequences
Data Sync
Airtable pipelines
Social Publishing
Twitter + LinkedIn
Meeting Prep
Calendar briefings
Content Generation
Notion drafts
SEO Research
Ahrefs analysis
Growth Reports
Stripe + PostHog
Learn more about AI automation:
