#build-vs-buy

AI tools now launch hundreds of personalized account ads in minutes. When a black-box ABM platform fits, and when a custom agentic build wins for B2B.

ActiveCampaign's Google Ads connector builds PMax campaigns from ESP data; Klaviyo syncs audiences, Mailchimp needs middleware. Native sync or custom build?

Agentic AI collapsed custom-build costs, so more firms win by owning tools than renting SaaS. A 2026 build vs buy AI decision matrix and when buying still wins.

Open OCR pipelines self-host at ~$0.001/page, but ops costs flip the math below 50K pages/month. A build-vs-buy decision guide for SMB document automation.

AWS now packages Amazon's shopping AI into a ~60-day deployable agent. The catalog readiness gate, the Haiku cost math, and the Amazon-dependency trade-off.

Recommendation engines drive up to 31% of ecommerce revenue. Build costs $70K-$400K+; SaaS starts at $25/mo. The build-vs-buy matrix and why lift is overstated.

RFPs influence 40% of revenue, yet teams still spend 33 hours per response. A five-stage agent pipeline cuts that to under five, with the draft-vs-decide line.

Open-weight models now run 10-12x cheaper than frontier SaaS. A 2026 framework on the TCO crossover, vendor lock-in, and data sovereignty for agencies.

Stage 4 of the agentic AI pipeline — vendor scorecards, RFP, evaluation rubric, and the templates that turn vendor pitches into defensible decisions.

Custom agent vs Zapier and Make.com TCO across 1, 10, 100, 1000 workflow scales — build cost, run cost, change-cost, and break-even thresholds.

Worked decision framework — cost-per-query, cost-per-update, latency, and quality vectors comparing RAG and fine-tuning across four scale tiers.

Build-vs-buy decision framework and TCO model for MCP capabilities — engineering hours, ops load, switching cost, and the six axes that decide.