OpenAI and Accenture Accelerate Enterprise Reinvention with ...

Enterprise‑Scale Agentic AI with Accenture & OpenAI – 2025 Playbook { "@context": "https://schema.org", "@type": "Article", "headline": "Enterprise‑Scale Agentic AI with Accenture & OpenAI – 2025 Playbook", "author": {"@type":"Organization","name":"Accenture"}, "datePublished":"2025-12-03", "dateModified":"2025-12-03", "publisher":{"@type":"Organization","name":"Accenture"} } Enterprise‑Scale Agentic AI with Accenture & OpenAI – 2025 Playbook Executive Summary OpenAI’s GPT‑4o and GPT‑4 Turbo dominate the public LLM landscape in 2025, delivering up to 128 k tokens of context. Accenture’s delivery framework couples these models with proven LLM integration patterns , yet stops short of a low‑code “AgentKit” or formal certification program beyond internal tooling. The partnership delivers measurable token cost savings—$0.03–$0.12 per 1 M tokens for GPT‑4 Turbo and $0.25–$0.30 per 1 M tokens for GPT‑4o—while tightening governance through prompt guardrails, audit trails, and token budget optimization. Operational gains include reduced manual review time, faster decision cycles, and the ability to monetize agent design services as a subscription model. Why Enterprise‑Scale Agentic AI Matters in 2025 Agents that autonomously orchestrate workflows across ERP, CRM, and data lakes are moving from research prototypes to production solutions. The differentiator is not just the LLM but the end‑to‑end delivery stack: model selection, context management, integration tooling, and enterprise governance. Model Landscape Provider Model Max Context (tokens) Per‑1 M Token Cost (2025) OpenAI GPT‑4 Turbo 128 k $0.03–$0.12 OpenAI GPT‑4o 128 k $0.25–$0.30 Google Gemini Gemini 2 Pro ≈1.5 M — (not publicly priced) Anthropic Claude 3.5 128 k — (enterprise pricing only) Accenture focuses on GPT‑4 Turbo for high‑volume, text‑heavy workloads and GPT‑4o when higher fidelity or multimodal input is required. Gemini 2 Pro remains a partner‑only offering and has yet to be integrated into the mainstream