Dynamic Data Integration
AI-native platforms continuously ingest and analyze data from multiple sources, enabling seamless integration across systems and ensuring a holistic view of procurement activities.
Flexible Workflows and Processes
AI-native platforms understand that the dependencies and directional flows associated with workflows and processes can change based on context, timing, and business needs. They can both use specific process workflows and have the flexibility to intelligently add and remove steps.
Advanced Automation
AI-powered automation streamlines workflows, reduces manual intervention, and speeds up processes, enabling procurement teams to handle more tasks in less time with greater accuracy.
Governance, Compliance, Security, and Trust
In the business world, AI must follow a variety of governance and compliance standards for data and AI. AI must also avoid being easily hacked through social engineering or query-based tactics. AI-native products start with an AI-centric approach to creating and monitoring products
Time Sensitive Requests and Replies
One of AI’s most relevant traits is its ability to quickly comprehend a request and then provide either a timely response or a deep research response that provides guidance on timely delivery. In an AI-Native world, trusted and timely responses to every relevant part of the job are the assumption.
Embedded AI Capabilities
AI is integrated directly into the system, from machine learning algorithms to natural language processing (NLP) to generative AI models, ensuring that data is processed, analyzed, and acted upon in real-time by a variety of AI tools. AI is not a single monolithic technology and it is more than just generative AI. AI Native solutions use a strategic portfolio of capabilities.
Flexible Model and AI Vendor Choices
AI technologies are transforming and evolving extremely rapidly, as every foundation AI vendor has new breakthroughs on practically a monthly basis. AI-Native solutions are designed to provide flexibility in model and AI vendor choices to support client requests.
Agentic Interface
Every enterprise software company announces current or future agentic capabilities that range from glorified process automation requests to flexible automations that can build their own workflows on request and can work with other agents. AI-Native solutions take an agentic approach that supports high-quality work and can improve over time.
Valuable text and analytic outputs
AI-Native solutions assume that outputs must provide user-centric, job-specific, and contextually relevant answers as long as the user is asking for business-relevant information. For Levelpath, that means any request associated with buying, sourcing, or enforcing procurement-related policies.
Adaptability
An AI-native platform adapts to changing market conditions, supplier behaviors, and business needs, offering personalized recommendations and insights to match the timing, jargon, and idiosyncratic language usage of each user.
Self-Improvement
AI-Native solutions assume that they can become smarter over time as models get smarter and solutions learn from user and related users, roles, and contextualized requests.