The news: Cohere launched Command A Reasoning, its first enterprise-tuned large language model (LLM). Designed for secure environments, the model handles agentic customer service, research, and automation tasks at scale. Its big-business focus is rooted in its ability to integrate with existing tools, support for on-premises deployment, and strict data controls.

Command A Reasoning, which can complete tasks in 23 languages, is available via Cohere’s North platform and Hugging Face.

Why it’s worth watching: Command A Reasoning consistently outpaced peers like DeepSeek-R1 0528, OpenAI gpt-oss-120b, and Mistral Magistral Medium. It also came out on top of Gemini, ChatGPT, Claude, Perplexity, and Grok on readability, insight, and comprehensiveness, per VentureBeat.

Cohere’s advantage is that it offers token budgeting, giving companies control over how much reasoning a model applies to each task—making LLM use more precise, efficient, and cost-effective. 

The company’s enterprise customers cover mission-critical finance, healthcare, technology, and consulting and include Google, Oracle, SAP, Fujitsu, and Royal Bank of Canada (RBC).

Enterprise-first fuels adoption: Business-tuned models like Cohere’s Command A Reasoning and Salesforce’s Agentforce are gaining ground because they’re built for what enterprises actually need: control, reliability, and ROI.

While general-purpose LLMs chase scale and consumer adoption, enterprise AI solves for integration, compliance, and efficiency—core requirements in highly regulated industries.

• Purpose-built for business. These models prioritize workflow execution over creativity—handling support tickets, CRM updates, and document analysis with precision.
• Security first by design. Enterprises won’t risk customer data in public models. On-premises or virtual-private cloud (VPC) deployment, like what Cohere and Agentforce offer, is non-negotiable.
• Cost transparency. Cohere’s token budgeting allows precise control of compute usage—critical for predictable AI spend at scale.

Our take: Enterprise AI is shifting from optional to operational. Vendors that deliver reliability, guardrails, and measurable value—like Command A Reasoning and Agentforce—will win long-term adoption over general-purpose models built for show, not scale.

Agencies and brands should prioritize AI platforms that offer transparency, control, and integration over hype-driven general models. The winners will be those who embed AI directly into workflows to customize outcomes for their needs.