A SaaS? tool that helps enterprise teams identify, qualify, and govern high-value GenAI use cases against business priorities and data standards.
Added May 31, 2026
Last signal 7h ago
Business and technical teams struggle to translate broad AI interest into specific, high-impact use cases that align with strategic objectives. They also need AI outputs and analytics workflows to stay consistent with governed data definitions and enterprise standards.
The product provides a structured workspace for capturing business priorities, mapping them to candidate AI and GenAI use cases, scoring impact and feasibility, and tracking implementation readiness. It includes governed templates for analytics workflows, reporting automation, insight generation, and stakeholder self-service so teams can move from ideation to validated execution.
Enterprises are actively integrating LLM?, Generative AI, and agentic AI patterns into real customer scenarios, analytics workflows, and reporting operations. The recurring hiring signal shows demand for repeatable tooling that bridges business alignment, use-case qualification, and governed AI delivery.
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Explore and develop AI/ML and Generative AI use cases, including LLM‑assisted analytics and automation Design dashboards and visualizations to communicate AI‑driven insights to engineering teams
Help customers identify and prioritize high-value AI use cases, including customer service, employee productivity, personalization, product discovery, merchandising, marketing content, store operations, and supply chain workflows.
AI Enablement Roadmap: Own and continuously evolve the roadmap for AI-driven enablement initiatives, prioritizing based on field impact, feasibility, and alignment with broader Enterprise AI team and strategy.. AI Field Use Cases: Identify, scope, and execute on high-value AI use cases for the field (e.g., deal support, prospecting, content generation, guided selling, skills, change management), working with stakeholders to define success criteria and measure impact.
* Own AI solution blueprints: Design, develop, document, and maintain reference designs and delivery playbooks that accelerate repeatable Agentic AI/GenAI/Hybrid‑AI deployments on AI on-prem Appliance across priority verticals Lead the design of GenAI blueprints using LLMs, RAG, and agentic workflows to solve enterprise challenges across domains like knowledge management, customer support, and analytics.
Define product vision, strategy, and roadmap for AI initiatives based on business objectives, user feedback, and organizational priorities. Design and deliver AI-powered workflows and automations using tools including Claude Enterprise and Workato, in collaboration with AI engineering and IT teams.
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