Operational strategy is the “engine room” of BaaS: it transforms raw assets (packs, bays, chargers, sites) into reliable, low-cost, low-carbon service through sensing, optimization, and coordinated execution. Battery-as-a-Service (BaaS) succeeds or fails in operations: how batteries are monitored, queued, charged, rotated, and priced in real time. This study develops an operational priority map for BaaS in India using a three-phase design: (i) systematic mapping of ~550 strategy signals down to 47 operational strategy variables; (ii) expert elicitation with a fuzzy linguistic scale; and (iii) Fuzzy-Delphi aggregation and defuzzification against a pre-defined acceptance threshold. Nine variables cleared the cut, revealing an “operations-first” capability stack. Collectively, these emphasize pervasive battery observability (SoH/SoC telemetry and digital passports), prescriptive multi-station optimization (inventory, queues, charge windows, repositioning), flexible RE-aligned physical plant, and throughput-indexed pricing that internalizes congestion and accelerates rotation. In contrast, structure-centric levers (ownership/topology without strong digital/optimization layers) systematically underperformed. The resulting priority map gives OEMs, operators, and regulators a concrete, interoperable target for improving utilization, compressing wait times, extending battery life, and lowering carbon intensity in India’s BaaS roll-out. The results offer actionable priorities for operators, OEMs, and regulators to raise utilization, compress wait times, extend battery life, and reduce carbon intensity, while outlining policy hooks (interoperability codes, telemetry minima, dynamic tariffs) to scale BaaS reliably in the Indian context.