Augmenting Existing Marketing Stacks With AI Layers vs. Replacing Them
Augmented stacks with AI agents orchestrating existing platforms outpace full replacements in 2026.
Declan Ferriter
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Build vs. Buy vs. Augment
9 stories in Build vs. Buy vs. Augment.
Vendor Lock-In Risk in Agentic Marketing Platform Contracts
Agentic marketing platforms create five layers of lock-in that make exit commercially impractical.
Rafael Treviño Garza
Pilot Design for Evaluating Agentic Marketing Platforms in B2B Programs
Test whether marketing AI actually runs itself or just looks autonomous under real conditions.
Simone Okafor-Mensah
Internal AI Marketing Team Hiring Requirements vs. Platform Delegation
Build in-house or delegate: choose based on execution capacity, not AI enthusiasm.
Declan Ferriter
Evaluating AI Augmentation Vendors for Google and LinkedIn Ad Management
How AI agents decide when they have enough evidence to act on limited B2B data.
Simone Okafor-Mensah
When Off-the-Shelf AI Marketing Tools Hit a Capability Ceiling
Most B2B teams use AI marketing tools without wiring them into decisions that move pipeline.
Declan Ferriter
Total Cost of Ownership for Internal AI Marketing Infrastructure
Hidden costs like model drift and integration debt can dwarf the salary line in your build budget.
Simone Okafor-Mensah
Mid-Market B2B Stack Rationalization Before an Agentic Platform Deployment
Clean up your stack before deploying an AI agent.
Priya Subramaniam
Build vs. Buy Decision Framework for B2B Paid Media AI Systems
Teams must choose between building proprietary AI systems or buying existing platforms.
Declan Ferriter