10Clouds

Implementation. Develops production AI systems through model selection, fine-tuning or custom training, API integration and deployment. Deliverables include automated training and validation pipelines, dataset versioning, rollback procedures, drift monitoring, runbooks and handover training. Engagement options include team augmentation, a defined AI module and an end-to-end platform. ^[2]

Advisory. Assesses AI readiness, prioritizes use cases and models expected returns. Advisory deliverables include data architecture planning, vendor evaluation and a phased implementation roadmap. The strategy workshop and managed roadmap engagement are distinct from the broader offering that includes implementation and optimization. ^[1]

Implementation. Builds retrieval-augmented generation assistants connected to company documents, policies and databases. Scope includes source-cited answers, summarization, extraction, role-based access and query logging, with documented integrations for SharePoint, Confluence and internal databases. This is customer-specific implementation rather than a general chatbot license. ^[6]

Implementation. Designs and deploys agents integrated with existing customer systems. Advertised applications include customer support, employee research and report writing, onboarding, and claims intake and routing. The service describes human escalation with contextual handover; these examples are offered use cases, not evidence of completed deployments in every category. ^[7]

Implementation. Analyzes processes and implements automation across documents, systems and approval chains. Supported tasks include document extraction, classification and validation, application routing, reconciliation and compliance-monitoring workflows. Buyers should define exception handling and acceptance tests around their own documents and processes. ^[8]

Implementation. Implements workflows that assemble application data, financial documents, approved sources and institution-defined checks into a reviewable credit case. Outputs include evidence links, check status, flags and a draft recommendation. Scope depends on the credit product, borrower segment, systems and approval model; authorized people retain decision and escalation rights. ^[9]

Implementation. Builds ML pipelines and operational controls for monitoring, retraining and version tracking. The service documents MLflow for experiment and model-artifact tracking and a production-model registry, alongside versioning of training data and hyperparameters. ^[10]

Implementation. Provides frontend and backend development, MVP delivery, technical product consulting, team augmentation and post-launch support. The service names Django, ReactJS and NodeJS, establishing a software delivery practice beyond AI-specific projects. ^[11]

Implementation. Implements infrastructure architecture, infrastructure as code, multiple-environment setups, containerization, CI/CD pipelines and testing. The documented scope also includes infrastructure maintenance and site reliability engineering, rather than advisory alone. ^[12]

Software product. Offers a web application for AI agents, chat, knowledge access and workflow automation. This entry covers the product itself; deployment and integration services are separately documented and should be scoped separately in procurement. ^[3]

Implementation. Provides assessment, configuration, knowledge-base connections, custom integrations, agent development, training and deployment support for AIConsole. The page describes ongoing optimization and both Azure hosting and preferred-cloud or on-premises deployment; applicable configuration and portability terms require confirmation. ^[3]