nFolks combines strategic consulting, hands-on implementation, Learning Services, and reusable accelerators to help enterprises build on IBM watsonx and move AI from proof of concept to production-ready systems.
The practice is built around IBM watsonx Orchestrate and watsonx.ai, with the same disciplined delivery model nFolks uses for the hardest data-modernization programs.
Each package uses the same core products β watsonx Orchestrate for agents and multi-step workflows, and watsonx.ai for model training, testing, fine-tuning, and ecosystem integration.
Rapid proof of concept that demonstrates quick ROI for one high-value business task.
Deliverable: A functional POC ready for internal demo and validation.
Operationalized AI inside the existing enterprise software landscape.
Deliverable: An MVP integrated into daily workflows for pilot user groups.
Full-lifecycle deployment with continuous improvement and enterprise-scale operations.
Deliverable: A production-grade AI-native application with ongoing maintenance and performance optimization.
nFolks helps teams identify modernization candidates, define governance guardrails, shape pilot paths, and train the people who will operate IBM Bob safely.
The AI Practice builds on nFolks' proven IBM data heritage: modernization, migration, governance, health checks, support, and analytics delivery.
Assess, migrate, and govern the platform work that has to be right before enterprise AI can scale.
Migrate IBM DataStage legacy assets to IBM Cloud Pak for Data NextGen and IBM Knowledge Catalog with assessment, customization, and automation.
Offering sheet βMove existing data governance frameworks to IBM CP4D, exporting supported assets from IGC and importing them with automation scripts.
Offering sheet βAssess and plan IBM watsonx.data workloads with tailored, secure, and scalable solutions backed by a proven track record.
Offering sheet βAnalyze metadata, dependencies, lineage, and downstream effects before modernization work begins, so teams understand what will change and where risk lives.
Discuss impact analysis βInstall, monitor, tune, and support the environments that keep trusted data moving.
Deploy IBM Databand for stronger data pipeline management, higher data quality, and improved operational efficiency.
Offering sheet βIBM CP4D install and upgrades across IBM Cloud, AWS, and Azure β with configuration, training, and ongoing maintenance.
Datasheet βComprehensive infrastructure, security, performance, capacity, and readiness reviews to keep IBM data environments tuned, secure, and compliant.
Datasheet βDedicated advisors, prioritized response, proactive monitoring, and technical expertise for complex IBM data environments.
Support datasheet βTurn governed enterprise data into reporting, dashboards, and decision support that business teams can use.
Deploy Power BI reporting and visual management across ERP, CRM, SSAS, and enterprise data sources with secure data preparation, modeling, and release practices.
Plan a deployment βBuild practical business intelligence solutions: data models, dashboards, governance, and implementation patterns that help teams turn operational data into decisions.
Discuss Power BI βLearning Services sit alongside every serious AI program: structured upskilling, product-specific playbooks, technical mentorship, labs, peer review, and capstone delivery.