Sales
453 documented deployments, 11.4% of the record. AI deployments for sellers, lead scoring, account planning, CRM workflows, proposals, and revenue operations.
Data updated
What is distinctive about Sales
Sales enablement is 15.5× 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.
- Sales enablement7 here of 7 in total15.5×
- Shopping recommendations agent20 here of 36 in total8.6×
- Marketing analytics10 here of 20 in total7.7×
- Inventory optimization7 here of 17 in total6.4×
- Customer targeting6 here of 16 in total5.8×
- Customer personalization16 here of 55 in total4.5×
The most common patterns
Customer service automation leads with 47 deployments from 44 organizations.
- Customer service automation44 organizations · 8 in the last 6 months47
- Workflow agent23 organizations · 5 in the last 6 months26
- Shopping recommendations agent17 organizations · 1 in the last 6 months20
- Automotive operations multi-agent system17 organizations · 4 in the last 6 months19
- Customer personalization16 organizations · 2 in the last 6 months16
- Compliance automation12 organizations · 3 in the last 6 months13
- Business process automation10 organizations · 1 in the last 6 months12
- Claims automation9 organizations · 2 in the last 6 months10
Across industries
Retail accounts for the most deployments here: 90.
- Retail20% of this dossier90
- Manufacturing11% of this dossier49
- Professional Services10% of this dossier46
- Insurance9% of this dossier41
- Tech & Comms9% of this dossier40
- Finance7% of this dossier33
- Consumer & Food5% of this dossier24
- Other4% of this dossier20
How it is built
Microsoft appears in 63% of these deployments.
- Custom-built60% · 198
- Low-code20% · 66
- Bought9% · 29
- Mixed12% · 39
The build approach is known for 332 of 453 deployments (73%). The rest are left out.
Cloud providers named
- Microsoft285 deployments63%
- GCP92 deployments20%
- AWS54 deployments12%
- Alibaba15 deployments3%
- IBM4 deployments1%
- Oracle3 deployments1%
Deployments over time
Deployments published per month since Nov 2025. The busiest month was May 2026, with 36.
The highest-ranked deployments
The top 10 of 240 ranked deployments, by innovativeness adjusted for age.
Only records with high or medium evidence strength are ranked.
- 27 May 2026Consumer & FoodNew Zealand
Vxceed builds a near real-time multi-agent AI platform on Amazon Bedrock for retail execution
Vxceed Technologies NZ LTD · Retail analytics platform · AWS
Vxceed, a global SaaS provider for consumer packaged goods sales and distribution, built a near real-time AI platform on AWS to improve store-level visibility and execution for retail-focused organizations. The platform interprets store signals, produces actionable guidance for commercial teams, and generates AI news bulletins with audio and video.
Multi-agent
250M USD/daydaily transactions processed - 4 Nov 2025Energy & UtilitiesKenya
Fastagger empowers African SMBs with mobile AI assistant
Fastagger · Customer personalization · Microsoft
Fastagger, an African deep-tech startup, has developed a mobile AI business assistant to empower small and medium businesses (SMBs) in Africa. Addressing the challenge of unreliable internet and limited digital infrastructure, Fastagger’s solution runs AI models efficiently on affordable smartphones without requiring a continuous connection. The AUNI system is embedded into Safaricom’s M-PESA Business App, supporting over 2,500 MSMEs in Kenya. This on-device agent enables customer engagement automation, loyalty management, and business coaching. The AI assistant reduces previously manual processes from eight steps to just two, driving operational efficiency and customer retention. Microsoft’s Africa Transformation Office and NVIDIA have supported Fastagger with mentorship and resources, accelerating the deployment of this mobile-based AI. Key partnerships and the integration with tools like Azure AI, Azure IoT, and GitHub enable robust on-device machine learning. Real-world results underscore substantial improvements in SMB engagement, financial tracking, and growth opportunities, enhancing digital access for underserved populations. By decentralizing access to AI, Fastagger brings business intelligence and automation to bandwidth-constrained and rural environments—making it easier for SMBs to track customer data, streamline marketing, and make data-driven decisions. The SaaS product costs just $1 to $5 per month, making advanced technologies affordable for local entrepreneurs. The project illustrates how Microsoft technologies and strategic partnership can close Africa’s digital divide, offering repeatable digital business models to other regions. Fastagger’s infrastructure is available globally via Azure, expanding its impact beyond Africa. Participant feedback validates the significant value of democratized, mobile-first AI for emerging markets.
AgenticProduction
- 17 Apr 2026RetailHong Kong
Chow Tai Fook transforms luxury retail with over 400 customized AI agents
Chow Tai Fook Jewellery Group · AI agents · Microsoft
Chow Tai Fook Jewellery Group standardized on Microsoft 365 E5 and Microsoft Purview, then used Microsoft Azure OpenAI Service, Microsoft Fabric, GitHub Copilot, and a Copilot ecosystem to embed AI across luxury retail operations. The company deployed more than 400 customized AI agents, built a closed-loop AI empowerment system for diagnosis, training, and real-time execution, created a hyper-aware omnichannel AI engine linking online intent to inventory-backed recommendations, and introduced a natural-language AI Insights Platform for management.
AgenticProduction
- 3 Jun 2025Tech & CommsJapan
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 - 24 Jun 2026FinanceUnited Kingdom
Dojo uses Gemini Enterprise to deploy 680+ AI agents for payments operations and customer workflows
Dojo · AI agents · GCP
Dojo is a UK-based payments provider that built a cloud-native payments platform on Google Cloud and adopted Gemini Enterprise across the organization to deploy more than 680 AI agents in about two months. The agents support customer operations, sales, marketing, talent acquisition, onboarding, compliance, and chargeback processing, with examples including an operations triage agent, a sales daily brief agent, a document parsing agent, and a chargeback agent.
Multi-agentProduction
−70%chargeback processing time - 13 Jun 2026Professional ServicesUnited States
Verdantas builds agents for proposal development and contract review with Copilot Studio
Verdantas · Document management · Microsoft
Verdantas is an integrated environmental science, engineering, and consulting firm that grew rapidly through acquisitions, creating disconnected systems and data. The company designed an agent in Copilot Studio and used Microsoft Fabric to unify data across the organization. The agent supports employees with proposal development, technical resource search, project and client intelligence, and resource optimization. Verdantas also built a contract management agent that reviews uploaded contracts against legal policy stored in SharePoint to identify escalation clauses and negotiation points. Multi-agent orchestration in Copilot Studio routes requests to sub-agents by data source and improves response speed.
Multi-agentProduction
>150additional agent requests - 23 Jul 2026RetailCanada
Shopify builds agentic commerce with Gemini Enterprise Agent Platform and Universal Commerce Protocol on Google Cloud
Shopify · Conversational assistants · GCP
Shopify co-developed the Universal Commerce Protocol with Google and built the Sidekick assistant on Google Cloud to support millions of merchants with agentic commerce experiences, conversational assistance, data-driven decision support, and action execution.
Agentic
81million customers · customers served - 15 Jul 2026InsuranceUnited States
Delos Insurance Solutions uses Google Earth Engine and Vertex AI to underwrite wildfire insurance
Delos Insurance Solutions · Risk assessment · GCP
Delos Insurance Solutions needed to make wildfire-risk underwriting viable for California homeowners who were often considered uninsurable by other carriers. The company built wildfire-behavior and geospatial risk models with Google Earth Engine, then used Colab notebooks and Vertex AI pipelines for model training and deployment, plus Google Maps Platform for a quote-to-buy underwriting portal. The solution let Delos price policies more accurately, offer coverage in high-risk areas, and support agents with a fast online underwriting workflow.
−80%data preparation time - 21 May 2026LogisticsTurkey
OPLOG builds production AI agents on Amazon Bedrock AgentCore for BI, improving CRM completeness and reducing manual research
OPLOG · Automotive operations automation · AWS
OPLOG, a technology-driven fulfillment company, built a production-ready business intelligence system using AI agents deployed on Amazon Bedrock AgentCore. The solution processes business transactions autonomously across sales pipeline management, data quality enforcement, and prospect research, integrating HubSpot, Microsoft Teams, Amazon S3, and Amazon Bedrock Knowledge Bases.
Multi-agentProduction
−98%manual research time reduction - 15 Jan 2026Tech & CommsUnited States
IBM: Enterprise-wide AI agent productivity gains with watsonx Orchestrate
IBM · AI agents · IBM
IBM faced major productivity drag across HR, procurement, IT, supply chain, sales, and tax because employees spent time searching for policies, navigating siloed systems, handling routine support, and manually aggregating data. IBM set out to create an enterprise-wide productivity blueprint using AI, hybrid cloud, and automation, with domain assistants such as AskIT, AskHR, and AskSales deployed across workflows.
Multi-agentProduction
−75%support tickets reduced by AskHR