BuLLM: The Intelligence & Orchestration Layer Behind FDE Execution
BuLLM is DigiBull AI’s Intelligence & Orchestration Layer. It connects LLMs, enterprise data, files, tools, APIs, context, and workflow logic, so intelligence can be coordinated across business processes.
BuLLM transforms fragmented enterprise data, tools, and AI models into governed execution workflows. It gives FDEs a reusable intelligence layer to deploy reliable AI applications faster.
What BuLLM Provides
- Enterprise Context: Connect files, databases, SOPs, and business knowledge.
- Intelligence Routing: Select the best AI models and specialized agents.
- Tool Execution: Integrate APIs and enterprise applications.
- Workflow Reasoning: Enable multi-step processes, business rules, and human approvals.
How BuLLM Works
BuLLM turns client knowledge into validated, reusable workflows. Documents and rules become a validated workflow, then a controlled run, then a client output.
- BAM builds and certifies: documents, rules, agents, and skills.
- SRI executes: runs with review.
Build in BAM. Run in SRI.
Built for Reliable Execution
- Deterministic-first: business-critical logic, such as costing and quoting, runs as deterministic scripts instead of relying on LLM math on line items.
- Human in the loop: high-value or high-risk steps pause for an approve or decline decision, with inline editing.
- Built for FDEs: it gives forward deployed engineers a reusable base for client deployments instead of rebuilding context, integrations, and workflows each time.
BuLLM and Its Components
BuLLM is the framework. SRI (Skills Runtime Implementation) and BAM are components of BuLLM. SRI is the runtime implementation component of BuLLM.
BuLLM sits alongside two sibling frameworks: ISATVON, the Skill Design Framework, and REPEL, the Security & Governance Framework.
