OpenAI Presence: enterprise-ready AI agents

What changed with the OpenAI Presence announcement

On August 2, 2026, OpenAI presented Presence , its new enterprise offering dedicated to AI agents in production. The news was reported in detail by The Decoder , which highlighted how Presence stands way apart from the Workspace Agents already on the platform. In fact, while the latter handle internal and semi-structured tasks, Presence is built for external setups: customer service, self-service portals, and automating processes for everyday users.

Plus, the most important thing isn't just the product itself. It's the big strategic message it sends. OpenAI isn't just handing over a model or an API. With Presence, they're jumping straight into enterprise rollout territory, with their own engineers ready to tackle tricky situations. Because of this, the line between AI vendor and system integrator is getting super blurry.

Product architecture: external deployment and engineering support

Presence is positioned on two main axes. The first concerns the deployment perimeter : agents facing outward, not just for internal users. The second concerns the level of support : for more complex workflows, OpenAI pairs its own engineers with the client's team. Consequently, it is a hybrid model between a SaaS product and a managed service.

This approach addresses a real pain point. Bringing an AI agent into production is not just a prompt engineering exercise. It requires error handling, legacy system integration, continuous monitoring, and regulatory compliance. However, many companies do not have the in-house skills needed to tackle these aspects. Presence aims to bridge this gap with a vertical, hands-on offering.

In particular, the focus on customer service is no accident. It is one of the areas where conversational automation has already proven measurable ROI—lower cost per contact, 24/7 availability, and deflection of low-value tickets. Similarly, automating internal workflows (onboarding, reporting, document management) is a second high-potential front.

The immediate impact for Italian companies

For marketing managers and digital leads at Italian SMEs and mid-market companies, Presence's announcement has practical implications. First of all, it redefines the benchmark for any agentic AI project. If OpenAI enters with a structured enterprise offering, it means the market expects higher standards—not just in terms of features, but in reliability, security, and support.

Plus, Presence ramps up the competitive pressure. Companies that have already kicked off AI automation pilot projects now find themselves with a much more tangible edge over those still in the exploratory phase. As a result, the cost of inaction goes up. Not in the sense of a tech race for its own sake, but rather as a growing operational gap between those with automated processes and those without.

Finally, it is worth considering the issue of vendor lock-in. Relying on OpenAI for implementation—not just the model—involves a strategic choice with long-term consequences. Therefore, the evaluation cannot be purely technical. It must include considerations on governance, data portability, and contract flexibility.

Presence vs. the existing ecosystem: where it fits

OpenAI is not the first to move into this space. Gartner has flagged AI agents as one of the biggest game-changers for the 2025-2027 window. Even so, most current options — from Microsoft Copilot Studio to Salesforce Agentforce, alongside niche industry tools — run on different setups and offer varying levels of support.

Presence really stands out because it's built specifically for external deployment and gets OpenAI's own engineers directly involved. On the flip side, a lot of rival solutions pass the implementation down to channel partners or system integrators. This sets up a big trade-off: you get way more control from OpenAI, but less wiggle room for custom setups.

To dive deeper into the broader context of agentic AI in the enterprise world, it is helpful to check out the analysis by Harvard Business Review on the impact of AI agents on organizational models. Similarly, the report by McKinsey on the economic potential of generative AI offers a useful quantitative framework to size the opportunity.

What to do now: orient yourself without chasing

The announcement of Presence doesn't demand an immediate reply, but it does call for a clear stance. For Italian companies looking into agentic AI investments, the right time to map out a strategy is right now — not necessarily because Presence is the absolute best pick, but because the market is shifting super fast.

Therefore, the first step is mapping processes with high automation potential. Customer service, lead qualification, FAQ management, internal reporting: these are all areas where AI agents can generate measurable value in a reasonable timeframe. Next, you need to evaluate integration options with existing systems — CRM, ERP, marketing automation platforms — before choosing a vendor.

We at SHM Studio we support companies through this strategic planning phase. From evaluating opportunities to hands-on rollout, our approach combines technical know-how with a marketing mindset. Specifically, we team up on projects that integrate Digital marketing , SEO and AI automation in a single coherent architecture.

The still open construction site: what Presence does not solve

It would be inaccurate to present Presence as a definitive solution. Some issues remain open. The first concerns the regulatory compliance : the GDPR and the European AI Act impose specific constraints on AI systems that interact with end users. It is unclear to what extent Presence is already aligned with these requirements in the Italian and European context.

The second issue concerns the costs . OpenAI hasn't published detailed pricing for Presence yet. For small and medium businesses, the cost model will be a deal-breaker in their evaluation. However, it's safe to expect that an offering with dedicated engineering support will have a premium price tag compared to standard APIs.

The third element concerns the measurability of results . Bringing an agent to production is just the first step. The metrics to track — autonomous resolution rate, customer satisfaction, cost per interaction — call for a dedicated analytics setup. That's why integration with tools for advertising and content must be planned right from the start, not added as an afterthought.

Perspectives: where the enterprise AI agents market is heading

Looking ahead to 2027-2028, the enterprise AI agent market will move along three main paths. The first is the vertical specialization : agents designed for specific industries (retail, finance, healthcare) with dedicated training and compliance. The second is the multi-agent orchestration : systems where multiple agents cooperate on complex tasks, with a central orchestrator. The third is the ROI measurement : from the experimental phase to financial reporting of the impact.

Presence fits into this trajectory with a clear positioning on the first level — reliable production for established use cases. However, the real competitive differentiation in the coming years won't be in accessing the technology, but in the ability to integrate it into cohesive business processes. Therefore, the advantage isn't built by those who adopt first, but by those who adopt best.

For companies that want to start this journey methodically, SHM Studio is available for a discussion . Furthermore, for those who want to explore the topic of AI applied to marketing and digital operations, our Blog publishes analysis and updates on a regular basis. Finally, our services for LinkedIn campaigns , web development and digital strategy are designed to integrate natively with the new agentic AI architectures.