Cisco, a technology company, simplifies (artificial intelligence) AI deployment with Motific, its first Software-as-a-Service (SaaS) product.
Motific, born from Cisco’s incubation business Outshift, provides a centralized view of the generative AI (GenAI) journey, empowering IT and security teams to rapidly deploy trustworthy GenAI capabilities across organizations, ensuring control over sensitive data, security, responsible AI, and cost.
According to Cisco, with the expansion of GenAI access, 97% of companies report increased urgency to deploy AI-powered technology. However, challenges persist in ensuring trustworthy, use-case-specific data compliance with organizational policies. Customizing GenAI applications to specific use cases remains a hurdle, with current and clean data critical for effective operation, achievable through techniques like Retrieval Augmented Generation (RAG).
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“Motific accelerates the time to value an enterprise organization spends on GenAI usage and deployment by mitigating the risk up-front and enabling teams to innovate faster,” said Vijoy Pandey, senior vice president of Outshift by Cisco,
Provisioning and managing GenAI assistants and APIs, integrating models across providers, and hiring talent for management prove time-consuming for companies. They seek products to accelerate AI deployments with minimal investment.
Motific features
Motific, a model and vendor-agnostic product, supports the GenAI journey from assessment to production.
Motific reduces deployment times from months to days, ensuring compliance controls for over-usage, spending overrun, and integration of organization-specific data sources. With just a few clicks, Motific configures assistants, abstracted APIs, and RAG on organization-wide data sources and foundation models, optimizing accuracy, cost, security, and access control.
It offers built-in policy controls that organizations can customize in days, provisioning based on internal policies. Automated controls cover sensitive data such as personally identifiable information (PII), security, and trust-related risks such as toxicity and hallucinations, accurately detecting and mitigating issues or risks between user inputs and Large Language Model (LLM) responses.
This solution tracks business processes and prompt usage intelligence with ROI and cost analysis, including monitoring audit trails and key metrics tracking of all user requests. It provides visibility into unapproved third-party GenAI usage, helping IT admins provision organizationally compliant alternatives and establish cost budgets and estimations to prevent runaway spending.