30 days of building has changed how I think about buy vs build. Not from a whiteboard. From the messy work underneath the product. I have been in the unglamorous layer: Salesforce objects, Agentforce metadata, workflow evidence, demo-org validation, registry fields, catalog design, runtime signals, and one uncomfortable question: What can we prove from real data, and what is just a nice UI claim? The buy-vs-build debate is too blunt for enterprise AI. The better question is where you should buy leverage and where you must build advantage. My current bias is simple: Buy the platforms. Build the workflow advantage. If a company runs on Salesforce, it should not rebuild CRM, identity, permissions, automation, data foundation, Flow, integrations, or Agentforce from scratch. Those foundations should be bought because platforms compound trust, scale, connectivity, and governance. But once you start mapping real business workflows, the platform answer stops being enough. Your customer-success motion is not generic. Your onboarding path, escalation rules, renewal-risk signals, entitlement logic, QBR process, support handoffs, approvals, and account-health assumptions are not generic either. That is where many enterprises get buy vs build wrong. They either buy the entire business process as a finished product, then spend years bending it around their reality. Or they build too much from scratch and recreate platform capabilities they should have inherited. The sharper move is layered. Buy the customer platform, data foundation, and agent runtime where they give you trust, security, and workflow reach. Then build or deeply tailor the layer that understands how your company serves, retains, expands, and protects customers. An AI agent can summarize an account, draft a follow-up, suggest a next action, update a case, or prepare a renewal brief. But the business value does not come from the agent completing one task. It comes from whether the workflow becomes more reliable: whether the right risk signal, customer context, human approval, evidence, recommendation, and outcome all line up. That is operating knowledge turned into a system: workflow map, context pack, action boundary, approval gate, evidence trail, eval loop, and improvement loop. This is why I think the next wave of enterprise AI will not be pure buy or pure build. It will be platform plus workflow. The platform gives you reach. The workflow layer gives you differentiation. I would buy anything that is common infrastructure. I would build or deeply tailor anything that encodes how the business wins. For teams building on Agentforce, this distinction matters even more. The opportunity is not to recreate Salesforce. It is to make your business process more intelligent on top of the Salesforce foundation. Buy the platform. Build the advantage layer. Measure it at the workflow outcome. #EnterpriseAI #Agentforce #WorkflowIntelligence

Back from @mpts_london, heavily loaded and still digesting. One theme kept recurring. What was most striking this year was how much the industry has matured. The debate is no longer whether best practices will/need to change. The real question remains how to make complexity manageable, instead of simply adding more of it. Across MPTS, earlier industry events, and DPP discussions, much of the conversation focused on whether large-scale transformation would happen. The pressure is real: more content, more deliverables, tighter turnaround times, growing complexity, AI deployed in a hurry due to FOMO, and certain steps in post-production being decimated. So how do you transform operations in flight while everything is moving at full speed? Production teams rarely have the luxury to stop, redesign workflows from scratch, and restart. Yet, operational pressure keeps slowly increasing. The panel discussion with @NEPGroupInc Europe and @itvstudios resonated strongly. The key message stood out very clearly: meaningful transformation only happens through openness, collaboration, and partnership, not through theoretical “silver bullet” solutions. Organisations have to rethink assumptions together and align technology with operational reality. The collaboration between NEP Europe, ITV Studios and Limecraft showcases that approach: moving workflow intelligence upstream, capturing editorial intent earlier in the process, bringing editorial and post-production together in a collaborative model, and building workflows that remain operationally usable throughout the chain. Thanks to all partners and customers we had the chance to talk to at MPTS, for pointing us in the right direction. Your insights are invaluable 🙏 #MPTS2026 #MPTSLondon #MediaTechnology #PostProduction #WorkflowIntelligence

Work slows down when decisions depend on chasing information. At [x]cube LABS, we embed AI directly into daily workflows so insights surface in the moment, enabling sharper decisions, faster execution, and fewer bottlenecks across the organization. If you’re ready to build intelligence into how your organization operates, let’s make it happen. Contact us: xcubelabs.com/ #EnterpriseAI #OperationalEfficiency #WorkflowIntelligence #AgenticAI #DigitalTransformation #xcubeLABS

Curious to see it in action? Join our webinar live this Thursday, February 5. 👉 Register here: us02web.zoom.us/webinar/regi… 👉 Read more about the full release here: limecraft.com/limecraft-2026… #Limecraft #PostProduction #WorkflowIntelligence #WorkflowAutomation #ContentSupplyChain

Complex email arrives. Eloquens AI escalates to the right expert with full context, technical highlights, and conversation history. Your engineer has everything needed to respond immediately. Orchestration, not just automation. #WorkflowIntelligence

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🧐 One underrated AI agent advantage? You can now deploy multiple solutions to solve the same problem—simultaneously. Getting a second opinion is basically free. Why not assign agents to challenge, verify, or improve the work?🚀 #AIagents #WorkflowIntelligence #SingularAgency

I’m gonna try building it with @agentforgeinc (no-code they gave me $65 in credits lol). I’ll mess around, test it, and see where it goes. Could be fun, could be 🔥 👉 agentforge.inc #AFC5 #OpportunityScout #NoCodeAI #WorkflowIntelligence 5/5

How do you know your strategy is working… if no one’s watching? This AI agent monitors your workflows, flags inefficiencies, and keeps execution on point—automatically. ✅ No code ✅ No guesswork ✅ Just smart, real-time optimization 🎁 Build your own with $65 in free credits → agentforge.inc #AgentForge #PerformanceAgent #WorkflowIntelligence #NoCodeAI

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Imagine being able to understand the *exact* behavior, not some approximation of it, but the exact behavior that drives increased revenue, reduced churn, & higher productivity, from your customer & service teams. That's #WorkflowIntelligence. It's what we do.

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