Unifying Enterprise AI: How HERE Fuels Productivity, Security and Adoption

In recent years, the use of generative AI at work has evolved rapidly. What began as individual employees experimenting with tools like ChatGPT and Claude has become a central pillar of enterprise technology strategy across a wide range of industries. Large organizations are now forming AI security committees, signing enterprise-wide contracts with multiple vendors and defining compliance frameworks to govern how AI is used.

This shift reflects the enormous opportunity AI presents to drive efficiency and innovation. But it also exposes new challenges around fragmentation, oversight, and distribution. Enterprises need a way to adopt AI that enables productivity gains and ensures oversight across diverse business use cases... especially in heavily regulated industries like finance, government, and healthcare.

As these organizations aggressively pursue their AI roadmaps, the question is no longer whether to adopt enterprise AI, but how to adopt it responsibly, at scale, and in ways that deliver measurable efficiencies.

The multi-vendor reality

AI adoption is not a one-size-fits-all journey. Different business units gravitate toward different vendors – for example, engineering teams may prefer Claude for code generation, while many customer-facing teams rely on ChatGPT for documentation. The result is an inherently fragmented ecosystem.

The scale of this fragmentation is already striking. According to a recent global survey by Cloudera, 96% of enterprise IT leaders plan to expand their use of AI agents over the next 12 months, with half aiming for organization-wide deployments. While the AI explosion is relatively new, these trends mirror the longstanding challenges of app fragmentation that enterprises have grappled with for years. Without a centralized integration layer, organizations risk inefficiency, siloed data and inconsistency in terms of how AI is being applied across workflows.

AI security, beyond vendor controls

As enterprise AI takes root, firms will face heightened compliance and audit requirements. Regulators and internal risk teams increasingly expect large organizations to apply the same level of scrutiny and security to AI use as they do to other critical systems.

Enterprises need an independent, non-vendor-specific layer – one that can enforce consistent protections across all AI providers and workflows. HERE, a browser purpose-built for enterprise AI, supports this journey by providing the integration layer that unifies tools, embeds AI directly into workflows and ensures delivery remains centralized rather than dispersed across multiple vendor systems.

HERE AI Center provides:

By consolidating disparate AI tools into a single integration layer, enterprises can reduce operational risk while offering their users more flexibility in defining their ideal workflow. This ensures that AI adoption supports – not undermines – broader compliance and risk management frameworks.

Enterprise adoption, without the friction

Once enterprises have selected their AI vendors, they face an even tougher challenge: rollout and adoption. Employees are accustomed to consumer AI tools, which are accessible, intuitive and already deeply embedded into daily workflows. A recent Gartner survey found significant dissatisfaction from IT leaders with Microsoft Copilot. Nearly 75% said their employees were struggling to integrate Copilot into their daily routines. Simply mandating that staff migrate to enterprise-approved alternatives is not enough – adoption lags when new solutions are perceived as less convenient or powerful. For enterprise AI to deliver on its promise, official rollouts must match or exceed the usability and efficiency of the informal tools employees have already embraced.

HERE addresses this challenge, providing an Enterprise Browser as a familiar and trusted delivery mechanism for enterprise AI. New AI tools can be deployed seamlessly via server-side configuration, eliminating the need for complex onboarding processes. Because the browser already serves as the employee’s primary workspace, AI capabilities can be surfaced without disrupting what works today.

Beyond deployment, HERE ensures consistency by providing a standardized UI that enables employees to interact with multiple AI platforms in the same way. This reduces confusion, accelerates adoption and shortens time-to-value for enterprise AI investments.

With HERE serving as the conduit, firms can roll out AI strategies and enforce enterprise-wide standards while still empowering employees. The result is higher adoption and a faster path to measurable productivity improvements.

Making AI accessible with smarter prompts

For AI to succeed at scale, it must add value for the entire workforce, not just technically sophisticated employees. Users cannot be expected to become prompt engineers in order to extract high-quality outputs from large language models. If left unaddressed, this knowledge gap can limit the effectiveness of AI initiatives by placing too much of the burden on employees.

For employees, the real value isn’t just in cleaner prompts behind the scenes – it’s in the way HERE enables AI to see the same context the user is seeing. By embedding AI directly into the user’s workflow, the answers are instantly more relevant and actionable. HERE enriches user queries with the surrounding workflow context, enabling smarter prompts and ensuring outputs are not only high-quality, but also directly relevant to the task at hand – no need for employees to master prompt engineering. Encoded best practices ensure that every query is optimized, every time, regardless of who submits it.

In addition to prompt optimization, HERE supports the next frontier of enterprise AI adoption: agentic use cases, such as monitoring live data streams and triggering alerts or follow-on actions when conditions change. These capabilities enable organizations to unlock productivity gains today while laying the foundation for more advanced automation over the next three to five years.

This dual approach – combining smarter prompts with early agentic workflows – enables enterprises to scale AI responsibly. Employees reach better outcomes without added complexity, while organizations can build toward the fully autonomous, AI-enhanced processes that many view as their long-term objective.

HERE’s next chapter: Extending enterprise productivity into AI

HERE has always focused on integration: bringing together fragmented workflows to fuel enterprise productivity. HERE AI Center represents a natural extension of this mission. Just as our Enterprise Browser unifies applications within a secure, standardized environment, it now unifies AI for the most complex business use cases.

By approaching AI as an integration challenge, HERE enables firms to adopt new tools strategically and responsibly, without disrupting existing workflows. We unlock unified ecosystems and substantial productivity gains. The result is true, organization-wide AI adoption that is not a patchwork of disconnected tools, but a strategic investment that accelerates productivity at the individual level and innovation at the enterprise level.

For enterprises looking for efficiencies in an AI-forward environment, HERE can help ensure the transformation happens securely, seamlessly and at scale. Learn more about how HERE AI Center can help your organization advance its AI roadmap with confidence – contact us today.