Industry domain insight

How AI Is Used in Tech & Communications Research & Development

Executive brief

Multilingual communication agent is 15× more concentrated here than across AI overall. Deployments of this type report a median −95% cost savings.

Cases

115

38 in the last 6 months

Innovativeness

100% of evidence scored

Agent cases

22 in the last 6 months

Start here: Onboarding multi-agent system — high impact for relatively low build effort (2 cases).

Prioritization

Where should I focus first?

Where each Tech & Communications Research & Development 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.

14 types

Trending — published in the last 6 months

Use-case types

Hover to highlight · Click to open

1
IT operations multi-agent system
Quick wins · 3 cases
Impact
Effort
2
Code modernization copilot
Big bets · 2 cases
Impact
Effort
3
Developer productivity multi-agent system
Big bets · 2 cases
Impact
Effort
4
AI agents agent
Big bets · 2 cases
Impact
Effort
5
Workflow orchestration multi-agent system
Big bets · 7 cases
Impact
Effort
6
Workflow multi-agent system
Big bets · 3 cases
Impact
Effort
7
Multilingual communication agent
Big bets · 3 cases
Impact
Effort
8
Data governance
Incremental · 2 cases
Impact
Effort
9
Customer service automation
Incremental · 14 cases
Impact
Effort
10
Customer personalization copilot
Deprioritize · 2 cases
Impact
Effort
11
Document automation
Incremental · 3 cases
Impact
Effort
12
Code assistant
Incremental · 7 cases
Impact
Effort
13
Customer support automation
Incremental · 4 cases
Impact
Effort
14
Automotive operations knowledge assistant
Deprioritize · 3 cases
Impact
Effort

Landscape

What are the most common AI use cases here?

The use-case types deployed most often in this view, ranked by volume and coloured by recent momentum.

20 use-case types

20 use-case types in view; Customer service automation leads with 14 cases, and 18 of the 57 shown were published in the last 6 months.

Bar colour = recent momentum (last 6 months), weighted by volume:Mostly olderGrowingRisingSurging

14Customer service automation 7Code assistant 7Workflow orchestration multi-agent system 4Customer support automation 3Automotive operations knowledge assistant 3Document automation 3IT operations multi-agent system 3Multilingual communication agent 3Workflow multi-agent system 2AI agents agent 2Code modernization copilot 2Customer personalization copilot 2Data governance 2Developer productivity multi-agent system

Distinctive

What's distinctive here vs the norm?

The use-case types this view over-indexes on versus the whole corpus — what makes this slice different from AI overall.

6 signals

Multilingual communication agent is 14× 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.

Multilingual communication agent14×
Workflow orchestration multi-agent system12×
Code assistant11×
IT operations multi-agent system4.8×
Customer support automation3.8×
Customer service automation3.7×

Lift compares each type's share of this view against its share of all 3,280 cases.

Implementation

Do teams build, buy, or compose this?

How the documented deployments in this view were built — custom engineering (Build), an off-the-shelf assistant (Buy), or low-code assembly (Compose).

91 classified cases

75%

BuildBuyComposeMixed

91 of 115 cases classified (79%) · Compare all use-case types

Full report

Expand any section for the detail behind the summary above.

Related Insights

Next steps

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