
Practical resources to plan, scope, and evaluate your AI initiatives.
A spreadsheet that estimates hours saved, cost savings, and revenue impact for your AI use cases.
Get it →Score your data, automation, and infrastructure readiness in 5–10 minutes.
Get it →A step-by-step checklist to identify and scope your first AI automation.
Get it →A practical guide to taking enterprise AI from pilot to production.
Get it →How to design retrieval-augmented generation systems that perform in production.
Get it →Estimate the build and running cost of an AI agent for your use case.
Get it →Get an indicative budget range for your AI project in 30 seconds.
Get it →The security questions to ask before deploying AI in production.
Get it →Compare AI vendors fairly — capabilities, security, cost, and lock-in.
Get it →A framework to decide whether to build or buy for your AI use case.
Get it →Score and prioritize your AI opportunities by ROI and feasibility.
Get it →A proposal-ready scope template for your AI project.
Get it →Should you hire an internal AI team or partner with Centcept?
Off-the-shelf AI tools vs a custom solution built for your business.
Build vs buy for AI — what actually fits your business?
Both answer questions. One takes action.
How to get your knowledge into an LLM.
The decision framework we use with every client.
RPA vs AI — the difference is judgment.
Build a tailored system or subscribe to a standard product?
A fast CMS platform or a bespoke build?
Where should your infrastructure live?