Leadership wants AI now.
There is pressure from the top to "add AI," but nobody can say whether the org can actually support it yet.
AI Readiness
Agentforce and AI are only as good as the org underneath them. We assess your data, security, and processes, then give you a straight answer and a prioritized roadmap to get your org ready for AI.
Three situations where knowing your readiness pays for itself.
There is pressure from the top to "add AI," but nobody can say whether the org can actually support it yet.
You suspect duplicates, gaps, and permission problems would poison anything AI touches, but you have no proof either way.
Before you pay for seats and licenses, you want to know what it will really take to make them work.
Four deliverables, scored against what AI actually needs.
We check whether your data is complete, clean, and structured enough for AI to trust its own answers.
Where AI could surface or act on data it should never see, flagged before it happens, not after.
Which of your workflows are ready to automate with AI, and which need fixing first.
A prioritized, fix-first plan to close the gaps between where your org is today and AI-ready, so you know exactly what to handle before you deploy anything.
Three steps from access to a clear answer.
We review your data model, security, and automations. We never touch production. Read-only means read-only.
Across data, security, and process, scored against what AI and Agentforce actually require to work.
A clear go / fix-first / not-yet verdict, with the exact steps to get ready.
Fixed scope, agreed up front. Pricing scales with the size and complexity of your org.
You get the number before we start, and it does not move.
No. The assessment is the product. Some clients deploy AI with us, some do it themselves, some decide they are not ready yet. The roadmap is written so any competent team can execute it.
Access is read-only and scoped. We review configuration, security, and metadata, not your customer records. Access is revoked when we are done.
That is exactly what this tells you. "Not yet" is a valid answer, and it comes with the shortest path to "ready" instead of an expensive surprise later.
By org size and complexity: users, data volume, automations, integrations. You get the number before we start, and it does not move.
If AI is not the right move for you yet, we will say so, and tell you what to fix first.