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02 · Insights— The analysis

Research & Development

1,501 documented deployments, 37.9% of the record. AI deployments for research, product development, engineering, simulation, drug discovery, design, and experimentation.

Data updated

1,501
deployments
38% of the record
28%
use AI agents
414 deployments
3.2
average innovativeness, 1 to 5
Differentiated
245
published in the last 6 months
182 in the 6 months before
§ 1

What is distinctive about Research & Development

Drug discovery is 6.8× 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. Drug discovery21 here of 21 in total
    6.8×
  2. Investment research19 here of 24 in total
    5.3×
  3. Code assistant18 here of 30 in total
    4.0×
  4. Shopping recommendations agent21 here of 36 in total
    3.9×
  5. Customer personalization31 here of 55 in total
    3.8×
  6. Content generation18 here of 33 in total
    3.7×
§ 2

The most common patterns

Customer service automation leads with 59 deployments from 56 organizations.

  1. Customer service automation56 organizations · 9 in the last 6 months
    59
  2. Predictive maintenance40 organizations · 0 in the last 6 months
    45
  3. Agriculture optimization40 organizations · 0 in the last 6 months
    43
  4. Workflow automation36 organizations · 8 in the last 6 months
    40
  5. Patient engagement28 organizations · 2 in the last 6 months
    32
  6. Clinical documentation30 organizations · 1 in the last 6 months
    31
  7. Customer personalization28 organizations · 4 in the last 6 months
    31
  8. Risk assessment31 organizations · 2 in the last 6 months
    31
8 of 20 patterns
§ 3

Across industries

Healthcare accounts for the most deployments here: 220.

  1. Healthcare15% of this dossier
    220
  2. Manufacturing12% of this dossier
    187
  3. Tech & Comms10% of this dossier
    157
  4. Finance9% of this dossier
    136
  5. Professional Services7% of this dossier
    105
  6. Retail6% of this dossier
    93
  7. Pharma5% of this dossier
    73
  8. Insurance5% of this dossier
    69
8 of 18 industries
§ 4

How it is built

Microsoft appears in 59% of these deployments.

  • Custom-built73% · 793
  • Low-code9% · 103
  • Bought9% · 103
  • Mixed8% · 88

The build approach is known for 1,087 of 1,501 deployments (72%). The rest are left out.

Cloud providers named

  1. Microsoft891 deployments
    59%
  2. AWS302 deployments
    20%
  3. GCP261 deployments
    17%
  4. Alibaba26 deployments
    2%
  5. IBM15 deployments
    1%
  6. Oracle5 deployments
    0%
6 of 7 providers
§ 5

Deployments over time

Deployments published per month since Nov 2025. The busiest month was May 2026, with 129.

Compare momentum across the record
The lighter bar is Nov 2026, still in progress: 0 so far.
§ 6

AI agents in Research & Development

116 agentic deployments in Research & Development report a quantified result. The strongest results come first.

All 116 with a result
  1. 20 May 2025
    Tech & Comms

    Autonomous AI agents revolutionize R&D and workflow automation

    Workflow orchestration · Microsoft

    Microsoft Build 2025 showcased the company's comprehensive strategy for developing the 'agentic web'—an ecosystem centered around the deployment of autonomous and multi-agent AI systems. Key announcements included Azure AI Foundry for multi-agent orchestration, next-generation GitHub Copilot coding agents capable of autonomous code refactoring and defect fixing, and Windows AI Foundry for local, on-device AI execution. Microsoft introduced new protocols for agent interoperability (A2A, MCP), enterprise-grade governance (Entra Agent ID), and advanced governance with Microsoft Purview integration. The standout real-world application, Microsoft Discovery, demonstrated the acceleration of scientific R&D—screening over 367,000 materials in 200 hours to rapidly develop a non-PFAS immersion coolant for data centers. The article illustrates a production-ready shift towards autonomous and multi-agent AI solutions, impacting software development, scientific research, and enterprise workflow automation.

    Multi-agent

    200 h
    time
  2. 25 Mar 2025
    Manufacturing

    AI agents drive supply chain, automation, and sustainability in manufacturing

    Lifetime Products · Workflow automation · Microsoft

    Various manufacturers, including Lifetime Products, Enerjisa Uretim, Hobart, and Camfil, have adopted Microsoft Dynamics 365 ERP and AI agents to modernize operations and address pressing industry challenges. The solutions focus on supply chain optimization, operational excellence, predictive maintenance, sustainability tracking, and customer service transformation. Autonomous AI agents like the Supplier Communications Agent and Scheduling Operations Agent automate communications and scheduling, reducing labor, increasing productivity, and minimizing disruptions. Integration with Azure IoT, Azure Digital Twins, and Microsoft Fabric enables real-time asset monitoring, predictive analytics, and harmonized business processes. The implementation leverages Microsoft Power Platform for process automation and customization, supporting rapid innovation and process digitization across the business. Results include substantial reductions in downtime, improved delivery times, cost savings, increased automation, and higher workforce productivity, supported by quantified IDC study data.

    Multi-agentProduction

    −85%
    time
  3. 29 Apr 2026
    Manufacturing

    Blue Origin Accelerates Lunar Hardware Development Using Agentic AI on AWS

    Blue Origin · Agent orchestration · AWS

    Blue Origin, a leading aerospace company, accelerated lunar hardware development by leveraging AI agents and advanced AWS services. The company built BlueGPT platform with over 2700 AI agents using Amazon Bedrock, Amazon Bedrock AgentCore, Amazon EKS, Amazon EC2, Amazon OpenSearch, and Strands Agents SDK. BlueGPT enables autonomous iterative design loops, complex GPU-accelerated physics simulations, and hierarchical AI agent orchestration, drastically reducing hardware development time from years to days. This AI-powered approach democratized AI use across 70% of employees, improving productivity and enabling the delivery of the world’s first AI agent-designed lunar hardware ready for Moon deployment.

    Multi-agent

    6×
    quantified impact
  4. 12 May 2025
    Professional Services

    Dunaway automates regulatory document review with Microsoft Copilot Studio and Power Platform

    Dunaway · Workflow automation · Microsoft

    Dunaway, a Texas-based multi-discipline design, planning, and engineering firm, needed to reduce the time engineers spent manually searching and interpreting city, county, and state regulatory documents across more than 50 Texas cities. The company implemented an AI agent using Microsoft Copilot Studio and Microsoft Power Platform components to provide city-specific answers from current regulatory documents with citations and escalation to subject matter experts. Power Automate was used to weekly collect and update documents from an Excel manifest, store them in SharePoint, and organize them in Dataverse for the Copilot Studio agent.

    Agentic

    −90%
    time
  5. 19 May 2025
    Pharma

    Global Innovators Accelerate Scientific Discovery with AI-Driven Agents

    GSK · Life sciences innovation · Microsoft

    Microsoft Discovery is a new enterprise AI agent platform designed to transform research and development (R&D) across sectors. By orchestrating specialized AI agents with a sophisticated graph-based knowledge engine, researchers and scientists can reason contextually through complex data, simulate experiments, and iterate research plans faster than ever before. Built on Azure High Performance Computing (HPC) and Azure AI Foundry, it emphasizes trust, compliance, and extensibility. Real-world impact is demonstrated by Microsoft researchers rapidly developing a sustainable immersion datacenter coolant, a process that normally takes years, in just 200 hours. GSK aims to accelerate medicinal chemistry, while The Estée Lauder Companies focuses on faster product innovation. The platform integrates partner technology from NVIDIA, Synopsys, and PhysicsX to enable advances in pharma, materials, semiconductor design, and industrial engineering. Strategic alliances with Accenture and Capgemini are helping scale deployments. Microsoft Discovery is positioned as a future-proof system for solving the most challenging R&D problems using AI agents and Microsoft’s secure cloud foundation.

    Multi-agent

    ↓ 200 h
    time
  6. Public Sector

    Montgomery County enhances constituent services with AI-powered chatbot

    Montgomery County · Student support · Microsoft

    Montgomery County, Maryland, enhanced its public service offerings by developing Monty 2.0, a robust AI chatbot. Partnering with Microsoft and independent software vendor Zammo.ai, the new solution leveraged Microsoft Azure OpenAI Service and Azure AI Search. The chatbot now covers 3,000 topics in 140 languages, offering contextual and multi-turn conversations, combined with extensive knowledge retrieval and translation capabilities. Initial deployment in late 2024 included a seven-month beta phase with constituent feedback to fine-tune the system and minimize hallucinations. Monty 2.0 sources information exclusively from Montgomery County’s knowledge base, offering personalized responses even to address-specific local queries. Since launch, it has facilitated over 20,000 conversations, reduced unanswered queries from up to 45% to a maximum of 15%, and improved customer satisfaction to 50%. The project also upskilled county employees, fostered an innovation-driven culture, and laid a foundation for the expansion of omnichannel AI public services. The technology-first strategy has spurred other county departments to explore AI solutions as well, demonstrating the scalable impact of the Monty 2.0 initiative.

    AgenticProduction

    +50%
    quantified impact
  7. 27 Jan 2026
    Healthcare

    Cognizant Empowers Healthcare and Other Industries with Microsoft AI Intelligent Automation

    Cognizant · Workflow automation · Microsoft

    Cognizant, a global services company and 2025 Microsoft Partner of the Year, enabled enterprise transformation for healthcare, financial services, and retail clients through AI and intelligent automation using Microsoft technologies. The approach leveraged Microsoft Power Platform, Microsoft Dynamics 365, Microsoft Copilot agents, Power Automate, and Power BI, combined with strong governance and training frameworks to modernize systems, automate workflows, and maintain regulatory compliance. Sustained adoption was supported through organizational change management and a culture of democratizing AI innovation across all levels of employees.

    Multi-agentProduction

    −80%
    cost
  8. 7 Nov 2024
    Education

    German Organizations Transform Education, Manufacturing, and Healthcare with AI

    IU International University of Applied Sciences · Virtual learning assistant · Microsoft

    A roundup of real-world AI implementations across Germany highlights transformational projects in multiple sectors. IU International University of Applied Sciences developed the Syntea AI avatar, integrated with Teams and Microsoft 365 Copilot, reducing course completion time by 27% and preparing 130,000+ students for AI-powered workplaces. Thyssenkrupp Automation Engineering, together with Siemens, uses the Siemens Industrial Copilot built on Azure OpenAI to automate manufacturing and respond to labor shortages, improving real-time production and reducing downtime. Ottobock leverages Azure AI to create custom-fitted prosthetics from body images to accelerate production and improve device fit. Lufthansa Group explores generative AI, including a 3D avatar for passenger guidance and automation for claims processing. Otto Group, including Medgate, leverages GitHub Copilot and Azure OpenAI to power e-commerce and medical Copilot assistants, speeding documentation and translation for clinicians. These implementations are enabled by Microsoft's €3.3 billion investment to expand AI infrastructure, focusing on sustainable and secure data practices.

    Multi-agent

    −27%
    time
§ 7

The highest-ranked deployments

The top 10 of 556 ranked deployments, by innovativeness adjusted for age.

Only records with high or medium evidence strength are ranked.

All 1,501 deployments
  1. 29 Apr 2026
    Manufacturing

    Blue Origin Accelerates Lunar Hardware Development Using Agentic AI on AWS

    Blue Origin · Agent orchestration · AWS

    Blue Origin, a leading aerospace company, accelerated lunar hardware development by leveraging AI agents and advanced AWS services. The company built BlueGPT platform with over 2700 AI agents using Amazon Bedrock, Amazon Bedrock AgentCore, Amazon EKS, Amazon EC2, Amazon OpenSearch, and Strands Agents SDK. BlueGPT enables autonomous iterative design loops, complex GPU-accelerated physics simulations, and hierarchical AI agent orchestration, drastically reducing hardware development time from years to days. This AI-powered approach democratized AI use across 70% of employees, improving productivity and enabling the delivery of the world’s first AI agent-designed lunar hardware ready for Moon deployment.

    Multi-agent

    6×
    quantified impact
  2. 26 Aug 2026
    Agriculture

    Syngenta builds a governed enterprise agent mesh with Amazon Bedrock AgentCore

    Syngenta · Agent orchestration · AWS

    Syngenta built and deployed a federated agent mesh using Amazon Bedrock AgentCore to support enterprise AI experimentation with centralized governance and security. The multi-account hub-and-spoke architecture centralizes orchestration, observability, gateway services, and identity while business units independently deploy agents.

    Production

  3. 15 Oct 2025
    Finance

    Canadian real estate firm streamlines finance with AI copilots

    Leading Canadian Real Estate Capital Firm · Risk assessment · Microsoft

    A leading Canadian commercial real estate capital firm partnered with ALIANDO to overhaul its underwriting, compliance, and finance operations. Facing significant manual processing bottlenecks and siloed data, the firm worked with ALIANDO, a Microsoft partner, to develop a unified AI strategy centered on coordinated copilots. This project leveraged Microsoft Fabric, Azure AI, Power Platform, Azure OpenAI Service, and Copilot Studio to automate document summarization, risk scoring, regulatory validations, audit preparation, and provide real-time analytics. The solution integrated multiple departments’ workflows, increased collaboration, and positioned the company for scalable future innovation. The immediate outcomes were notable improvements in speed, throughput, and revenue, showcasing the value of AI-driven modernization in the finance industry.

    Multi-agentProduction

    −30%
    time
  4. 8 Jun 2026
    Pharma

    Tangram transforms drug discovery with agentic multi-LLM AI on AWS

    Tangram Therapeutics · Drug discovery · AWS

    Tangram Therapeutics is a UK biotech company focused on solving human disease through computational RNA interference (RNAi) medicines. To accelerate drug target discovery and evaluation, Tangram built LLibra OS, an agentic AI platform that unifies proprietary, licensed, and curated public datasets for research and target-indication assessment. The platform supports retrieval augmented generation, web search, and text-to-SQL to help researchers identify novel targets, evaluate therapeutic potential, and design medicines.

    Multi-agentExploring

    300×
    data processed daily increase
  5. 26 Oct 2026
    Pharma

    Variational AI uses generative AI to accelerate drug discovery

    Variational AI · Drug discovery · AWS

    Variational AI developed Enki, a generative AI platform for designing novel small-molecule candidates based on target properties. Enki's foundation model was trained on published, approved, and patented drug data and generates candidates optimized across efficacy, safety, potency, and selectivity. For each pharmaceutical partner, Variational AI deploys a dedicated AWS Virtual Private Cloud (VPC) and performs compute within that environment to separate proprietary partner data from internal compute.

  6. 13 Jun 2026
    Healthcare

    NSF accelerates regulated medical audits using agentic AI with Azure Document Intelligence and Azure OpenAI

    NSF · Legal workflow automation · Microsoft

    NSF, a nonprofit scientific and regulatory auditing organization, needed to organize, verify, summarize, and synthesize tens of thousands of documents across country-specific rules for medical audits. The solution uses Azure Document Intelligence, Azure OpenAI, Azure Model Context Protocol (MCP) tools and servers, Azure Blob Storage, Azure Python SDK, Azure Cosmos DB, Microsoft Entra ID, and Azure RBAC to automate document validation, structured sorting, version tracking, and summary drafting. Staff review and refine the AI-generated summaries, while the workflow remains inside Azure cloud controls and private tenant security. The implementation reduced audit turnaround time from 4–6 weeks to about 2 weeks and was reported to deliver near-perfect accuracy for the proof of concept.

    AgenticPoC

  7. 7 Jun 2026
    Healthcare

    Moody Month uses Gemini 2.5 Pro and Vertex AI on Google Cloud to deliver privacy-preserving personalized women’s health insights

    Moody Month · Customer personalization · GCP

    Moody Month built an AI-powered women’s health and wellness tracker on Google Cloud to deliver personalized hormone forecasts and research-backed advice. The company designed the platform to keep sensitive health data private by isolating user data in Firestore and avoiding exposure of raw user data to LLMs. It uses Cloud Run microservices, Gemini 2.5 Pro, Vertex AI, BigQuery, Looker Studio, and supporting Google Cloud services to generate, match, and visualize insights at scale.

    Scaled Production

    >100K
    users/month · monthly users served
  8. 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
  9. 13 Jun 2026
    Consumer & Food

    Foodpairing uses Gemini Enterprise Agent Platform to predict consumer tastes

    Foodpairing · Automotive operations automation · GCP

    Foodpairing (Belgium) uses Gemini Enterprise Agent Platform and Gemini with BigQuery, Cloud Run, Cloud Storage, Cloud SQL, Firebase, and Google Kubernetes Engine to predict consumer tastes. The company digitizes lab measurements for 100 products per day, streams them into Cloud Storage and BigQuery, and uses roughly 200,000 digital twins plus Gemini-powered agents to simulate reactions to new flavors and packaging. The article claims more than 75% correlation with real consumer panels and says the briefing-to-formulation cycle dropped from 18 months to days.

    Multi-agent

    100
    products/day · products analyzed daily
  10. 19 May 2025
    Pharma

    Global Innovators Accelerate Scientific Discovery with AI-Driven Agents

    GSK · Life sciences innovation · Microsoft

    Microsoft Discovery is a new enterprise AI agent platform designed to transform research and development (R&D) across sectors. By orchestrating specialized AI agents with a sophisticated graph-based knowledge engine, researchers and scientists can reason contextually through complex data, simulate experiments, and iterate research plans faster than ever before. Built on Azure High Performance Computing (HPC) and Azure AI Foundry, it emphasizes trust, compliance, and extensibility. Real-world impact is demonstrated by Microsoft researchers rapidly developing a sustainable immersion datacenter coolant, a process that normally takes years, in just 200 hours. GSK aims to accelerate medicinal chemistry, while The Estée Lauder Companies focuses on faster product innovation. The platform integrates partner technology from NVIDIA, Synopsys, and PhysicsX to enable advances in pharma, materials, semiconductor design, and industrial engineering. Strategic alliances with Accenture and Capgemini are helping scale deployments. Microsoft Discovery is positioned as a future-proof system for solving the most challenging R&D problems using AI agents and Microsoft’s secure cloud foundation.

    Multi-agent

    ↓ 200 h
    time