Let's connect ↗Holon
Pragma Edge Holon is a natural-language interface for enterprise operations. Connect a business request with enterprise context, a proposed action path and governed execution across the systems involved.
Enterprise AI is moving closer to applications, decisions and actions. That raises practical questions about data access, tool permissions, evaluation, cost and the point at which a person must review the result.
Pragma Edge connects AI engineering with integration and operating controls. We define a bounded workflow, connect authorized enterprise context, evaluate representative tasks and establish the handoff when an agent or model cannot safely complete the work.
The customer gains a clearer route from pilot to operation. Acceptance criteria cover the complete task, not just the model response, and the team can observe failures, review changes and retain ownership of consequential decisions.
Choose a scenario. Explore how intent becomes context, a reviewed plan and a permitted action. This is an illustrative experience; it does not connect to your enterprise systems.
Investigate the delayed partner transactions and prepare a recovery plan for review.
Identify the partner, processing window and affected transactions before proposing a recovery.
Business users describe outcomes. Enterprise applications expect exact fields, steps and commands. The gap is usually bridged by a person who understands the request, knows the systems and can coordinate the work. That coordination is the experience Holon is designed to address.
Define agent roles, tool contracts, shared context and approval boundaries. Validate handoffs, failed actions and recovery using a representative enterprise workflow.
Baseline the measures relevant to your engagement, then compare results through implementation and operation.
Interpret business language using enterprise terminology and domain context.
Use relationships between systems, data, rules and constraints to inform the action path.
The published architecture includes an agentic execution engine with retry, fallback and escalation behavior.
Role restrictions, authorization and activity evidence belong to the execution model, with feedback informing future recommendations.
Illustrative use cases to shape your evaluation.
A finance user asks for an exception view for a defined period. Before any report is produced or shared, make the source records, permitted scope and intended recipients explicit. The useful result includes enough context for a reviewer to investigate.
A planner asks which assets need attention and how work could be assigned. Separate evidence gathering from dispatch. Let the responsible owner review constraints and proposed assignments before the operating workflow changes.
Agree a baseline and an acceptance threshold with the process owner. These are evaluation measures, not claimed customer results.
Bring a real request spanning more than one system. Test the normal path, an ambiguous instruction and a request outside the user’s authority. Inspect the proposed plan and the evidence left after execution.
Plan a focused product conversation ↗