Generative AI technology is accelerating its penetration from general capabilities into specialized scenarios. The adaptation of LLM models to enterprise has become a core element in the digital transformation. With the rise of DeepSeek, the cost of AI applications for businesses has significantly decreased, and processe automation is on the cusp of an intelligent turning point.
AlphaFlow Technologies is completing the full-stack adaptation of the AlphaFlow platform with ChatGPT or DeepSeek. Through a dual-engine architecture of "LLM + Agent," it achieves a technological closed loop, driving comprehensive capability upgrades across the entire chain.
This upgrade focuses on four integrations, providing enterprises with intelligent solutions that cover the entire lifecycle of their processes.
After fully integrating with the DeepSeek or ChatGPT LLM, by leveraging process templates, operational process data, and related process industry knowledge, enterprises can build their own large process model (AlphaFlow LPM).
The AlphaFlow LPM achieves breakthrough improvements in the following dimensions:
1.Efficiency Leap: Based on real-world testing with the DeepSeek-R1:32B private model, inference time per 1000 tokens is 40% faster than comparable industry models, and it supports high-concurrency process task handling.
2. Precision Decision-Making: Specialized fine-tuning for business processes results in 98.6% data accuracy in compliance checks, risk validation, and other scenarios.
3. Cost Restructuring: GPU resource requirements are reduced to one-third of the industry average, supporting hybrid cloud elastic deployment for a balance between performance and cost.
4. Full-Cycle Coverage: From process design, simulation, and validation to automated execution and analysis optimization, a closed-loop management driven by "AI + Process" is fully realized.
The AlphaFlow process large model supports on-premises private deployment, hybrid deployment, and containerized deployment, as well as model optimization and customization, providing a reusable technical paradigm for the widespread adoption of AI in business process management.
Through the integration of mainstream large models like DeepSeek, DouBao, Kimi, and TongYi, AlphaFlow has built a flexible and open ecosystem of intelligent agents (Agents).
1. Scenario Adaptation: Supports needs across financial, manufacturing, and other sectors, such as enhanced compliance checks in finance and increased creative freedom in the creative industries.
2. One-Click Deployment: Pre-configured with over 200 industry-standard agents covering key aspects such as process approval and data collection, it supports visual configuration and rapid invocation.
3. Autonomous Evolution Capability: Agents dynamically optimize strategies based on real-time feedback data, improving task scheduling and execution accuracy by 35%.
4. Vendor Lock-In Prevention: Supports cross-platform model deployment, allowing enterprises to flexibly replace underlying architectures and ensuring technological autonomy.
Adapted to the DeepSeek-R1 model, AlphaFlow introduces a new knowledge search-enhanced intelligent assistant, to provide a conversational approach for enterprise process workers.
1. Semantic Precision Parsing: Supports understanding of unstructured data such as long texts, tables, and charts, with question recognition accuracy exceeding 95%.
2. Dynamic Knowledge Base: Flexibly connects to enterprise knowledge systems, industry databases, and other data sources, updating the knowledge graph in real-time to reduce manual maintenance costs.
3. Automated Execution: Triggers preset process tasks automatically by monitoring form events or data changes, increasing response speed by 60%.
4. Security and Control: Supports private knowledge base deployment, ensuring sensitive data remains within the domain, meeting stringent regulatory requirements in finance, healthcare, and government innovation.
Based on the autonomous intelligent agent architecture, AlphaFlow implements the Agentic Workflow with the following features.
1. Intelligent Task Decomposition: Automatically breaks down complex processes into atomic subtasks, achieving end-to-end automation through dynamic orchestration.
2. Autonomous Decision Engine: With real-time decision-making capabilities, agents are capable of handling over 80% of process decision scenarios without human intervention.
3. Adaptive Learning: Using reinforcement learning algorithms, agents extract patterns from historical tasks, improving strategy iteration efficiency by 50%.
4. Modular Expansion: Designed with a loosely coupled architecture, it supports quick integration with third-party systems such as RPA and IoT, expanding business boundaries.
The AlphaFlow full-process automation platform, through the deep integration of large models represented by DeepSeek and ChatGPT, combined with agent technologies, realizes AI empowerment throughout the entire lifecycle of processes, from design and execution to discovery and mining. The solution strictly adheres to data privacy and compliance requirements, supporting on-premise deployment and model fine-tuning.
In the future, AlphaFlow will continue to explore the deep integration of AI and business processes, promoting the evolution of organizations toward "autonomous decision-making and self-evolution" intelligent forms.
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