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02 · Insights— The analysis

Tech & Communications

406 documented deployments, 10.2% of the record. What they do, what they report and how they are built.

Data updated

406
deployments
on record
40%
use AI agents
163 deployments
3.3
average innovativeness, 1 to 5
Differentiated
143
published in the last 6 months
55 in the 6 months before
§ 1

The read

Written 19 Jun 2026 from 40 representative deployments. The figures on this page are live.

Tech & Comms adoption is centering on repeatable agentic workflow automation, conversational contact-center agents, and AI-assisted developer and support tooling. The evidence points to clear pressure points—overwhelmed support teams, slow and fragmented information retrieval across global teams, siloed data, and legacy operational bottlenecks—and the dominant use cases respond directly by automating service, triage, research, document creation, and knowledge retrieval, often with grounded responses and governed access. This looks beyond experimentation in customer service, IT service desk, and internal workflow automation, while more autonomous, multi-agent, and cross-function systems still appear earlier-stage.

§ 2

What is distinctive about Tech & Communications

AI model training is 12.2× more common here than across the whole record.

Lift compares a pattern’s share of deployments here with its share everywhere. 1× means no difference.

  1. AI model training12 here of 18 in total
    12.2×
  2. Developer productivity9 here of 18 in total
    9.2×
  3. Multilingual communication agent6 here of 12 in total
    9.2×
  4. Workflow orchestration multi-agent system16 here of 33 in total
    8.9×
  5. IT operations14 here of 39 in total
    6.6×
  6. Code assistant10 here of 30 in total
    6.1×
§ 3

The most common patterns

Customer service automation leads with 41 deployments from 35 organizations.

  1. Customer service automation35 organizations · 7 in the last 6 months
    41
  2. Workflow orchestration multi-agent system15 organizations · 3 in the last 6 months
    16
  3. IT operations14 organizations · 8 in the last 6 months
    14
  4. AI model training11 organizations · 8 in the last 6 months
    12
  5. Workflow agent11 organizations · 2 in the last 6 months
    12
  6. Customer support automation10 organizations · 1 in the last 6 months
    11
  7. Automotive operations multi-agent system7 organizations · 3 in the last 6 months
    10
  8. Code assistant10 organizations · 2 in the last 6 months
    10
8 of 20 patterns
§ 4

Across business functions

Operations accounts for the most deployments here: 349.

A deployment can serve several functions.

  1. Operations86% of this dossier
    349
  2. Human Resources39% of this dossier
    159
  3. Research & Development39% of this dossier
    157
  4. IT & Security33% of this dossier
    136
  5. Customer Service32% of this dossier
    130
  6. Legal & Compliance31% of this dossier
    124
  7. Marketing30% of this dossier
    122
  8. Supply Chain26% of this dossier
    107
§ 5

What deployments here report

167 Tech & Communications deployments publish a quantified result.

Compare with all industries

  1. Time & speed

    138 metrics

    Reduction · median and middle half
    −60%Median reduction −60%, middle half −33% to −75%, from 42 metrics
    Increase · median+59%22 metrics

  2. Cost savings

    41 metrics

    Reduction · median and middle half
    −45%Median reduction −45%, middle half −30% to −71%, from 28 metrics
    Increase · median+20%1 metric · few

  3. Productivity & throughput

    23 metrics

    Reduction · median and middle half
    −27%fewMedian reduction −27%, middle half −27% to −27%, from 1 metric
    Increase · median+30%17 metrics

  4. Revenue & growth

    18 metrics

    No reductions reported
    Increase · median+175%10 metrics

Grey figures rest on fewer than 5 published metrics. Read them as examples, not as a typical result.

§ 6

How it is built

Microsoft appears in 33% of these deployments.

  • Custom-built81% · 277
  • Low-code6% · 21
  • Bought6% · 21
  • Mixed7% · 24

The build approach is known for 343 of 406 deployments (84%). The rest are left out.

Cloud providers named

Compare providers across all industries
  1. Microsoft134 deployments
    33%
  2. AWS120 deployments
    30%
  3. GCP98 deployments
    24%
  4. Alibaba43 deployments
    11%
  5. IBM7 deployments
    2%
  6. Oracle4 deployments
    1%
§ 7

The highest-ranked deployments

The top 10 of 228 ranked deployments, by innovativeness adjusted for age.

Only records with high or medium evidence strength are ranked.

All 406 deployments
  1. 20 Aug 2026
    Tech & Comms

    Articul8 AI accelerates enterprise generative-AI training and deployment with Amazon SageMaker HyperPod

    Articul8 AI · AI model training · AWS

    Articul8 AI built an autonomous, full-stack generative AI platform on AWS for enterprises to develop, deploy, and manage models within their own security perimeters. The platform uses Amazon SageMaker HyperPod for distributed pretraining and fine-tuning of large and domain-specific models, with automated faulty-node replacement and lifecycle customization. Articul8 AI integrated Amazon Managed Grafana to provide near-real-time GPU observability and a single-pane-of-glass dashboard.

  2. 21 Jul 2026
    Tech & Comms

    Turbo AI builds integrated AI infrastructure solution with Alibaba Cloud (CEN, Lightning Cube, Online Migration, Elastic GPU, Model Studio, Qwen/Wan)

    Turbo AI · Infrastructure modernization · Alibaba

    Turbo AI is a technology company founded by experts in cloud computing, distributed systems, and machine learning. It provides vertically integrated infrastructure services for organizations building, training, and running AI models. The company partnered with Alibaba Cloud to solve multi-cloud complexity, large-scale data migration, and GPU cost and flexibility challenges.

    Production

  3. 27 May 2026
    Tech & Comms

    Trend Micro builds an agentic AI security assistant with Amazon Bedrock and Amazon Neptune

    Trend Micro · Document review · AWS

    Trend Micro enhanced its Companion AI assistant in its Vision One security software with long-term and short-term agentic memory capabilities. The company used Amazon Neptune as a knowledge graph and experience layer to connect threat intelligence, alerts, investigations, and successful remediation patterns so analysts can get more explainable and personalized security recommendations. Trend Micro combined Amazon Bedrock, Amazon Textract, and Amazon Managed Streaming for Apache Kafka to orchestrate agentic workflows, clean and enrich user conversations, and feed metadata into the graph for long-term memory and correlation analysis.

    Agentic

  4. 27 May 2026
    Tech & Comms

    Druva transforms data security using Amazon Bedrock AgentCore

    Druva · Automotive operations automation · AWS

    Druva built DruAI, an agentic AI solution to help customers complete cyber investigations and recovery workflows. The solution uses a multi-agent system on AWS with AgentCore Memory, AgentCore Code Interpreter, Amazon Bedrock access to Claude models, voice capabilities with Amazon Nova Sonic, and Bedrock Guardrails. In production, DruAI coordinates 8 to 10 specialized agents across investigation, help, and recovery workflows.

    Multi-agentProduction

    +58%
    time
  5. 27 Aug 2026
    Tech & Comms

    Pythian operationalizes Gemini Enterprise agents to cut database incident resolution time by 80%

    Pythian · IT operations · GCP

    Pythian used its 500-person company across 27 countries as a proving ground for enterprise AI and engineered an AI Operating Model spanning strategy, platform deployment, dual centers of excellence, and production XOps. Its Process COE deployed an agentic database-operations workflow across approximately 15,000 monthly database tickets that reads tickets, searches knowledge bases, and generates mini runbooks before engineers intervene.

    AgenticProduction

  6. 29 Jun 2026
    Tech & Comms

    Kimi builds production AI agent infrastructure on Alibaba Cloud (ACK + ACS Agent Sandbox + Lindorm)

    Kimi · AI agents · Alibaba

    Kimi rolled out multiple agent-based products and built an end-to-end agent infrastructure with Alibaba Cloud to handle high-concurrency requests, fast sandbox startup, state preservation, secure isolation, and low-cost elastic scaling. The architecture combines Alibaba Cloud Container Service for Kubernetes (ACK), ACS Agent Sandbox, Lindorm multi-model database, MicroVM isolation, NetworkPolicy, and Fluid to support production AI agents and model training workloads.

    AgenticProduction

    −>50%
    sandbox startup time
  7. 23 Jul 2026
    Tech & Comms

    TELUS built its generative AI platform Fuel iX on Google Cloud using BigQuery, Gemini Enterprise and an agentic AI-ready data foundation

    TELUS · Data platform modernization · GCP

    TELUS built its generative AI platform Fuel iX on Google Cloud to unify siloed data, increase trust in enterprise data, and support proactive problem-solving, customer support, and engineering productivity across the company.

    AgenticProduction

    +30%
    shipping code speed improvement
  8. 15 Jul 2026
    Tech & Comms

    C Spire built an agentic AI assistant on AWS to reduce network incident response times

    C Spire · IT operations · AWS

    C Spire built an agentic AI assistant on AWS to help network technicians solve issues more efficiently and keep its network resilient. The solution gives technicians natural-language access to equipment manuals, technical documentation, and network schematics while combining alarms, logs, and configurations to support diagnosis and resolution.

    Agentic

  9. 17 Feb 2026
    Tech & Comms

    Ericsson agentic rApp as a Service on AWS for autonomous RAN optimization

    Ericsson · Automotive operations automation · AWS

    Ericsson describes an AWS-hosted rApp as a Service solution that uses agentic AI to automate RAN operations and optimization for communications service providers. The platform integrates with Ericsson Intelligent Automation Platform and O-RAN interfaces to coordinate specialized agents for anomaly detection, root-cause explainability, cell shaping, and uplink performance optimization. It is delivered as a multi-tenant SaaS offering through AWS Marketplace.

    Multi-agentProduction

    +54%
    cell issue resolution speed
  10. 3 Jun 2025
    Tech & Comms

    Fujitsu boosts sales productivity by automating proposal generation

    Fujitsu · Automotive operations automation · Microsoft

    Fujitsu faced time-consuming and manual sales proposal creation processes, hampering staff productivity and slowing the onboarding of new salespeople. To address these challenges, Fujitsu developed an orchestrated multi-agent AI system using Microsoft Azure AI Agent Service, Azure AI Foundry, and Semantic Kernel, allowing them to automate data gathering and proposal drafting. The new system integrates with Fujitsu's existing workflows and leverages multiple specialized AI agents to dynamically retrieve, synthesize, and tailor sales proposals from dispersed enterprise data sources. As a result, Fujitsu boosted sales team productivity by 67%, enabling staff to focus on customer engagement, faster onboarding for new hires, and delivery of more accurate, data-driven, and current proposals.

    Multi-agent

    +67%
    revenue