Onboarding multi-agent system
Quick wins · 2 cases
Industry domain insight
Executive brief
Customer personalization agent is 7.0× more concentrated here than across AI overall. Deployments of this type report a median −45% time & speed.
Cases
85
33 in the last 6 months
Innovativeness
100% of evidence scored
Agent cases
34
16 in the last 6 months
Start here: Marketing analytics — high impact for relatively low build effort (2 cases).
Prioritization
Where each Tech & Communications Marketing use-case type lands on build effort against business impact, positioned relative to the other types shown — the dashed crosshair is the peer median, so the split separates higher- from lower-leverage types. Dot size reflects how many cases back each type; the dashed indigo zone marks the sweet spot. Impact and effort figures in the list are the true 1–5 averages.
Trending — published in the last 6 months
Use-case types
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Onboarding multi-agent system
Quick wins · 2 cases
Customer support copilot
Quick wins · 3 cases
Fraud detection
Quick wins · 6 cases
Product discovery computer vision
Big bets · 2 cases
Customer personalization agent
Big bets · 6 cases
Customer experience analytics
Big bets · 2 cases
Legal workflow knowledge assistant
Big bets · 2 cases
Customer service automation
Incremental · 13 cases
Multilingual communication agent
Deprioritize · 2 cases
Workflow orchestration multi-agent system
Deprioritize · 3 cases
Marketing analytics
Incremental · 2 cases
Planning agent
Incremental · 2 cases
The use-case types deployed most often in this view, ranked by volume and coloured by recent momentum.
20 use-case types in view; Customer service automation leads with 13 cases, and 17 of the 47 shown were published in the last 6 months.
The use-case types this view over-indexes on versus the whole corpus — what makes this slice different from AI overall.
Customer personalization agent is 7.0× more common here than across all cases — the strongest signal of what sets this view apart.
1× = corpus average — bars extend right by how far each type over-indexes here.
Lift compares each type's share of this view against its share of all 3,280 cases.
How the documented deployments in this view were built — custom engineering (Build), an off-the-shelf assistant (Buy), or low-code assembly (Compose).
Full report
Expand any section for the detail behind the summary above.