Intent-Driven Transactional Computing: Ensuring Consistency and Recoverability Across Autonomous Internet Operations

The increasing development of generative artificial intelligence, autonomous agents, and heterogeneous Internet service orchestration is creating new possibilities for executing complex human intentions through multiple interconnected digital services. A single natural-language request may require an autonomous system to discover resources, communicate with external services, create or modify records, initiate payments, obtain confirmations, and coordinate subsequent operations. Although these capabilities make increasingly sophisticated Internet task execution possible, they also introduce an important reliability challenge: a multi-service operation may partially succeed before encountering a failure, leaving the overall task in an inconsistent, incomplete, or uncertain state. Traditional database transaction mechanisms provide established approaches to consistency and atomicity within controlled transactional environments. Distributed transaction protocols, long-running transactions, Saga patterns, compensating operations, and idempotent processing further address aspects of coordination and recovery across distributed systems. However, autonomous Internet operations introduce an additional conceptual requirement: transactional execution must be coordinated according to the original human intention, rather than being defined exclusively by the technical completion or failure of individual service operations. This paper proposes Intent-Driven Transactional Computing (IDTC), a conceptual framework for managing consistency, partial execution, and recoverability across autonomous Internet operations. The proposed approach treats a human intention as the initiating unit of a higher-level transactional process. It introduces an intent-level transaction representation, cross-service operation coordination, partial execution consistency assessment, compensating operation selection, transaction state persistence, idempotent execution control, multi-service completion coordination, and intent-oriented outcome verification. A central principle of IDTC is that successful execution of individual operations does not necessarily imply successful fulfillment of the original intention. Conversely, failure of an individual operation does not necessarily require abandoning the entire task if the system can safely recover, compensate, retry, or reconfigure the remaining execution process. Accordingly, IDTC distinguishes between technical operation status, service-level transaction status, and human-intent fulfillment status. The paper further proposes a transaction lifecycle model, an intent-aware consistency assessment mechanism, a recoverability-oriented execution strategy, and a set of research propositions. Potential advantages include improved control over partial execution, more reliable coordination of heterogeneous Internet services, reduced duplicate-operation risks, improved recovery transparency, and stronger alignment between autonomous execution and intended outcomes. Importantly, IDTC is not presented as a replacement for established distributed transaction protocols or as a claim that conventional Saga-based systems lack recovery mechanisms. Rather, it proposes an additional intent-oriented coordination layer that connects human objectives, heterogeneous service operations, transactional guarantees, and outcome verification. The framework is conceptual and does not claim completed experimental validation or demonstrated performance superiority.