Tone: Helpful, complementary, expert
Excellent framework! The 3-tier progression (Foundation → Workflow → Autonomous) is spot-on for enterprises scaling AI responsibly.
I’ve been exploring a similar decision space and found that within each tier, there are 8 distinct architectural patterns teams can choose from—from simple “AI as a service” to multi-agent systems with independent runtimes.
What’s interesting: multi-agent isn’t always the right answer. Sometimes a shared workflow or controlled function-calling pattern delivers better ROI with less complexity.
I broke down all 8 patterns with code examples using a real booking system if anyone wants to dive deeper:
👉 https://www.linkedin.com/feed/update/urn:li:activity:7414947277384921088/
The key insight: Start with Tier 1 (Foundation) and only progress to Tiers 2/3 when the use case actually demands it. Trust and governance before autonomy, exactly as you’ve outlined!
#AIArchitecture #AgenticAI #SoftwareArchitecture
Tone: Curious, engaging
Great framework! 🎯
Quick question: In your experience working with enterprises, at what point do teams typically know they’re ready to move from Tier 2 (Workflow) to Tier 3 (Autonomous)?
I’ve been mapping out 8 different architectural patterns across these exact tiers—from AI-as-a-Service all the way to multi-agent orchestration—and found that many teams jump to autonomous agents too early, when a workflow pattern would serve them better.
Curious about your take on when multi-agent becomes essential vs. over-engineering?
I documented the tradeoffs with code examples here if it’s helpful: 👉 https://www.linkedin.com/feed/update/urn:li:activity:7414947277384921088/
Love the “trust before autonomy” principle! 👏
#AIArchitecture #AgenticAI
Tone: Direct, value-focused
Spot-on framework! The Foundation → Workflow → Autonomous progression is exactly what enterprises need.
For teams deciding which pattern to use within each tier, I mapped out 8 architectural options—from simple AI-as-a-Service to multi-agent systems—with real code examples:
👉 https://www.linkedin.com/feed/update/urn:li:activity:7414947277384921088/
Key takeaway: Multi-agent (Tier 3) isn’t always the answer. Sometimes a well-designed workflow (Tier 2) delivers better ROI.
Great article! 🙌
#AI #SoftwareArchitecture #AgenticAI
Tone: Relatable, experience-based
This resonates! I just worked through this exact decision process when building a booking system.
Your framework helped me realize I didn’t need Tier 3 (Autonomous) at all—a Tier 2 Workflow pattern with controlled function-calling was perfect. Saved months of complexity!
I documented all 8 patterns I evaluated (from “no agent” to multi-agent) to help others avoid over-engineering:
👉 https://www.linkedin.com/feed/update/urn:li:activity:7414947277384921088/
Your “trust before autonomy” line is gold. Enterprises rushing to Tier 3 without Tier 1 governance is exactly what causes 40% of multi-agent projects to fail.
Thanks for sharing this! 👏
#AIArchitecture #Engineering #AI
Tone: Technical, precise
Excellent framework! The distinction between Structured Autonomy (Tier 2) and Dynamic Intelligence (Tier 3) is crucial.
For architects implementing these tiers, I found there are actually 8 runtime patterns to consider:
Each has different tradeoffs around control, scalability, and operational overhead.
I broke them down with production code examples using a tennis booking system: 👉 https://www.linkedin.com/feed/update/urn:li:activity:7414947277384921088/
The pattern that surprised me: Independent runtime multi-agent systems (your Tier 3) are powerful but come with significant infrastructure complexity—definitely not step one!
Great to see this architectural rigor around Agentic AI! 🎯
#SoftwareArchitecture #AI #SystemDesign
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