Strategy & Ops Index
Assesses model performance across the strategy and operations domain. Capabilities evaluated include domain-specific knowledge (business and management, accounting, corporate and markets), strategy and planning, customer support, records management, and more.
See representative workflowsThe Artificial Analysis Strategy & Ops Index combines performance across benchmarks chosen for strategy, operations, and office administration. We map common tasks from O*NET occupational classifications, then select benchmarks that represent this real-world work. Weights are derived from how often capabilities appear across those tasks.
This composite metric provides a single score for tracking model performance across operations and administrative work. All underlying benchmarks are run independently by Artificial Analysis. See our Intelligence Benchmarking Methodology for how evaluations are conducted.
| Capability | Weight | Evaluations |
|---|---|---|
| Agentic Knowledge Work | 35% | GDPval-AA v2 and AA-Briefcase |
| Business Knowledge | 30% | AA-Omniscience Business Accuracy |
| Agentic Tool Use | 30% | AutomationBench-AA Operations, HR, Marketing, Sales & Support |
| Long-Context | 5% | LCR and GDP.pdf |
Score
Artificial Analysis Strategy & Ops Index
Artificial Analysis Strategy & Ops Index: Capability Breakdown
Capability Breakdown
Artificial Analysis Strategy & Ops Index: Business Knowledge
Representative Workflows
Real-world workflows that exercise the capabilities the Strategy & Ops Index weights most heavily.
Example: Assess a mid-market SaaS company's competitive position from market-share data, analyst reports, and win/loss notes, work through a Porter's Five Forces and SWOT read, and formulate three prioritized strategic options with the trade-offs of each.
Example: Scan 3,000 invoices of different formats before month-end and extract line-items into structured fields to add to the general ledger.
Example: Absorb a 40% support surge after a product recall in a CRM ticketing queue with 20-minute hold times to triage incoming tickets by SLA, de-escalate frustrated customers in live chat, and follow the approved recall script verbatim.
Example: Reconcile an executive's schedule when they're triple-booked across a full week of calendars in a scheduling tool, including external stakeholders with limited availability, to weigh free/busy windows, propose conflict resolutions ranked by stakeholder seniority, and draft rescheduling notes.
Example: Clean up a stalled month-end close where multiple departments coded the same expenses to different GL accounts across hundreds of invoices to propose a consistent chart-of-accounts mapping, identify entries needing reclassification, and draft adjusting journal entries.
Example: Consolidate five years of training records split across paper files and two unindexed document systems for a regulatory request to build one audit-ready manifest, flag missing records with supporting evidence, and propose a retention schedule for the next cycle.
Cost
Artificial Analysis Strategy & Ops Index: Cost per Task
Artificial Analysis Strategy & Ops Index vs. Cost per Task
Speed
Artificial Analysis Strategy & Ops Index: Time per Task
Output Tokens
Artificial Analysis Strategy & Ops Index: Output Tokens per Task
Release Date
Artificial Analysis Strategy & Ops Index vs. Release Date
Frequently Asked Questions
Based on the Artificial Analysis Strategy & Ops Index, the top-performing AI models for strategy and operations work are currently Claude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback) (60), Claude Fable 5.1 (Adaptive Reasoning, Xhigh Effort, Default Fallback) (58), and GPT-6 Astra (max) (58). Rankings are updated as new models are released.
Yes. The Strategy & Ops Index from Artificial Analysis is an independent benchmark of how AI models perform on strategy and operations work. It measures performance on the strategy and operations domain, including business knowledge, agentic knowledge work, agentic tool use across business apps, and long-context analysis.
The Strategy & Ops Index is a composite benchmark from Artificial Analysis that assesses model performance across the strategy and operations domain. Capabilities evaluated include domain-specific knowledge (business and management, accounting, corporate and markets), strategy and planning, customer support, records management, and more.
The Strategy & Ops Index is calculated as a weighted average of its capability sub-scores. The sub-scores and their weights are: Business Knowledge (30%), Agentic Knowledge Work (35%), Agentic Tool Use (30%), and Long-Context (5%).
The Strategy & Ops Index includes AA-Omniscience Business Accuracy, GDPval-AA v2, AA-Briefcase, AutomationBench-AA Operations, HR, Marketing, Sales & Support, LCR, and GDP.pdf.
Claude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback) currently has the highest Strategy & Ops Index score, with a score of 60 among models with published results. View model
A higher Strategy & Ops Index score indicates stronger overall performance across the benchmarks that make up the index. For a specific use case, individual benchmark results may be more informative than the composite score.