Every AI use case is a link in a chain that runs from a signal, to an action, to proof it worked.
Complete chains turn AI spend into pipeline, win rate, and retention. Broken chains just add cost.
The journey map shows the 39 use cases.
The chains show how the use cases link to revenue.
The assessment shows which links you already own and which one to build next.
Six chains carry your revenue. Open each one to see both frameworks attached.
The use cases from the journey map connect to SBI's AI readiness assessment areas.
Most organizations own mature signals and break at the action step.
The foundation layer sits under all five revenue chains, so skipping it fails everything at once. The most common break point in each chain:
Intent signals fire and the outreach never changes. The list stays the list.
Deal risk surfaces in a dashboard the rep opens after the deal slips.
Hygiene erodes quietly until the commit is a guess with a decimal point.
The churn model is mature. The save play routes to nobody, and the score watches the account leave.
Call intelligence records everything and changes nothing in the 1:1.
Skipped because it is unglamorous. When it fails, all five chains above leak at once.
Most revenue teams overestimate their GTM AI readiness by two full levels.
SBI scores your go-to-market across 70 AI capabilities in 10 domains, marketing through the data foundation, each benchmarked against 40+ B2B companies. It is vendor-neutral, and it answers one question: are you ready to invest and execute in AI?
- Heat-mapped scorecard. 70 cells across 10 domains, scored 0–100.
- Benchmark comparison. Where you lead, match, or lag B2B peers.
- Make vs. buy matrix. Build, buy, or evaluate, with vendor short-lists.
- Opportunity map. Where AI creates value, sized for your case.
- 12-month roadmap. Wave-by-wave plan, memos for the top three moves.