Commercial and Professional Services
Legal, consulting, accounting, staffing, and B2B enterprise advisory firms. 212 verified customer use cases (85% with quantified ROI · Avg Value Score 85.8 · 99% with mapped architecture components).
- Verified stories
- 212
- Quantified ROI
- 85%
- Avg value score
- 85.8
- Vendors deployed
- 27
- Distinct products
- 459
Baidu AI Cloud Sample Dec 29, 2025 Zhaopin Zhaopin needed to move beyond isolated AI features and make large models useful across the full recruiting workflow, from job posting through candidate screening, communication, interviewing, and matching decisions. HR operating steps were reduced 80%. DeepSeek-R1 · ERNIE Speed · Qianfan AppBuilder Baidu AI Cloud Sample Dec 29, 2025 Liepin Liepin needed to identify where large models fit into recruiting workflows and then turn them into measurable gains in talent matching, interviewing, cost and hiring efficiency. Average interview execution cycles improve by 60%-70% compared with traditional interviews. AI Interview · Doris · Qianfan AppBuilder 
IBM Sample Dec 10, 2025 Tech Mahindra Tech Mahindra needed a way to extract value from long, complex, unstructured enterprise documents while also proving that generative-AI outputs could be governed, explained, and trusted in regulated customer… 30% productivity improvement IBM Deep Search · IBM Granite 13b · IBM watsonx.ai IBM Sample Dec 9, 2025 LDS Łazewski Depo & Partners LDS needed to reduce the time, cost and risk involved in manual patent searches and drafting work so its attorneys could protect clients' intellectual property more efficiently without sacrificing accuracy or data… over 40 IP professionals IBM watsonx.ai 
DXC Sample Nov 25, 2025 DXC Technology DXC's history of mergers left the company with fragmented data repositories and thousands of inconsistent dashboards, which slowed analytics, weakened trust in reporting, and made it difficult to scale advanced AI… 80 dashboards were considered reliable AI agents · AWS · Databricks Data Intelligence Platform 
Salesforce Sample Nov 20, 2025 Accenture Accenture wanted an AI assistant that could operate inside its highly customized sales process, handle complex tagging and coaching workflows, and prove the value of Agentforce before a broad rollout across a… 2,200 users Agentforce · Sales Cloud · Salesforce Platform 
TCS Sample Archived · Nov 12, 2025 Kelly Services Kelly Services needed an IT service desk that could keep up with rising support volumes and expectations from employees, clients, and job seekers, but traditional processes relied too heavily on agent memory and… 100 percent quality audits for the first time AI-driven call transcription and analysis · AI-driven quality management system · context-aware recommendations 
Databricks Sample Nov 11, 2025 DXC Technology However, years of growth through mergers left the company with fragmented systems, siloed data and low trust in AI. 3 AI agents in production, 8 more in pilot or development phases Agent Bricks 
ServiceNow Sample Archived · Nov 3, 2025 inMorphis inMorphis needed a repeatable way to upskill a globally distributed consultant workforce and productize AI, IT/HR, and sales-workflow expertise faster for customer delivery. 1,500+ Certifications across the team AI Agents · Now Assist · ServiceNow AI Platform 
OpenAI Sample Oct 27, 2025 Steuerrecht.com Steuerrecht.com is a boutique law and tax advisory firm that aims to compete at the same level as much larger practices. Founder Sebastian Korts and his ten-person team handle complex tax cases, financial analyses, and… ChatGPT Business · custom GPTs 
Alibaba Cloud Sample Archived · Oct 24, 2025 Hamilton As finance organizations face increasing complexity in regulatory compliance, financial reporting, and data management, Hamilton helps them navigate these challenges by leveraging advanced AI. To fully realize this… 70% faster report drafting reducing a 10-day process to under 3 days Model Studio · Qwen 
MongoDB Sample Archived · Sep 23, 2025 ICIS ICIS’s role as a source of commodities intelligence makes it a vital cog as the global economy becomes ever hungrier for information. MongoDB Atlas IBM Sample Sep 11, 2025 Lenovo PCCW Solutions (LPS) LPS needed a more unified way to monitor, secure, and scale hybrid environments for enterprise clients because its existing monitoring tools only offered siloed snapshots and could not support proactive incident… 24×7 service-level commitments IBM Instana · IBM LinuxONE · IBM Turbonomic IBM Sample Sep 8, 2025 C-Metric C-Metric needed to help a healthcare-services client search fragmented document repositories, reduce data errors and make compliance-heavy workflows faster and more reliable. 40% reduction in operational costs Aivio · IBM Granite · IBM Watson Discovery Databricks Sample Aug 14, 2025 EY-Parthenon They needed a partner — not just a platform — capable of scaling AI-powered workflows, unifying fragmented data sources and embedding intelligence securely and compliantly across global engagements. 30%–50% Efficiency gains, accelerating client decision-making and unlocking new opportunities Agent Bricks · Databricks SQL · Delta Lake 
NVIDIA Sample Aug 13, 2025 Deloitte Consulting LLP Deloitte needed to integrate large multimodal biomedical datasets, train custom protein and chemistry language models, and assemble drug-discovery pipelines far faster than manual infrastructure work allowed, because… 12 million nodes and 97 million connection edge links in the Atlas AI graph AlphaFold2 · ESMFold · MegaMolBART Salesforce Sample Jul 30, 2025 The Adecco Group Adecco needed to respond to changing candidate expectations and handle high-volume, time-sensitive pre-screening faster, while preserving recruiter involvement and the human element in recruitment. 28 companies successfully fill their vacancies Agentforce Databricks Sample Jul 29, 2025 SK Shieldus SK Shieldus needed a more scalable analytics foundation because its legacy environment could not support advanced machine learning for proactive security services, dispatch optimization, and customer retention. 6 months Databricks Data + AI Platform · Delta Lake · Lakeflow IBM Sample Jun 30, 2025 Turba Media Turba Media needed to analyze growing volumes of GDPR-compliant audience data from social and content platforms faster so it could uncover sentiment shifts, identify emerging trends and improve media-buying decisions… 5.56+ return on ad spend (ROAS) IBM watsonx.ai Baidu AI Cloud Sample Jun 19, 2025 Achievo (Beijing Teamsun Technology Co., Ltd.) Achievo wanted to upgrade its traditional intelligent-customer-service stack, which struggled with intent errors, weak context handling and repetitive answers, even though the company already had deep industry knowledge… Intelligent Data Assistant · Intelligent Speech Engine · Multi-Turn Dialogue Engine 
Oracle Sample Archived · Jun 6, 2025 PwC PwC wanted to modernize finance operations across multiple territories with a shared cloud ERP foundation that could strengthen controls, simplify reporting, and let finance teams apply embedded AI to document handling… Deployments currently support approximately 34,000 employees Oracle Cloud ERP document IO agent · Oracle Fusion Cloud Enterprise Resource Planning (ERP) DXC Sample Jun 3, 2025 Quantum Regulatory Solutions Quantum needed to prepare FDA-compliant regulatory applications faster and more reliably because filing delays, rejection, or resubmission can postpone clinical trials and keep new therapies from reaching patients on… accelerate regulatory filings by up to 60% DXC FirstPoint RIM.AI · DXC ToolBox Pharma Edition 
Microsoft Sample Jun 3, 2025 Infosys Infosys wanted to move beyond basic AI augmentation in the software development life cycle because developers still had to manually review, validate, integrate, and fix generated code in large enterprise applications,… Creating end-to-end unit test cases took about 45 minutes with AI assistance, compared to a couple of weeks it… GitHub Copilot agent mode · iLEAD platform · model context protocol servers IBM Sample May 27, 2025 Ogilvy Ogilvy needed a memorable way to help IBM and Adobe show marketers the risks of unchecked AI-generated content and reinforce trust, accuracy, safety, transparency, auditability, and creative control at Adobe Summit. 14% improvement in moving interest down the funnel, compared to previous years Adobe Firefly · watsonx