As enterprises accelerate AI adoption, many are running into a familiar problem: flexibility.
Organizations may be investing heavily in AI, but they often find themselves tied to vendor-selected models, fragmented AI tools, and escalating usage costs. Appspace is betting that the next phase of enterprise AI adoption will be defined less by adding new models and more by giving customers control over the ones they already use.
The workplace experience platform has introduced Bring Your Own Model (BYOM), a new capability that allows organizations to connect their preferred AI models directly to the Appspace platform. The company will showcase the technology at InfoComm 2026.
The launch reflects a growing demand among enterprises seeking to avoid vendor lock-in while maintaining control over security, compliance, and AI spending.
Bringing AI Choice to the Workplace
Unlike many workplace AI solutions that rely on a single underlying model, Appspace’s BYOM approach enables organizations to use existing AI providers and infrastructure.
At launch, the platform supports Microsoft Azure OpenAI, Azure AI Foundry, and Google Gemini, with additional model integrations planned.
Rather than routing requests through Appspace-controlled AI services, BYOM connects directly to the customer’s AI environment using their own API credentials. This means organizations retain ownership of provider relationships, governance policies, compliance controls, and usage costs.
The strategy aligns with a broader trend emerging across enterprise technology. As companies mature their AI strategies, many are moving away from one-size-fits-all AI platforms and toward multi-model ecosystems where different AI tools are used for different business needs.
Beyond Chatbots
Appspace is positioning BYOM as more than another enterprise chatbot integration.
While many workplace AI products focus on conversational interfaces and content generation, Appspace is embedding AI across a broader range of workplace experiences, including:
- Employee communications
- Knowledge discovery
- Workplace services
- Space reservation
- Visitor management
- Workflow automation
- Employee support experiences
The goal is to make AI a foundational layer across workplace operations rather than a standalone productivity tool.
This distinction is becoming increasingly important as organizations look for measurable business outcomes from AI investments. Many early deployments focused on experimentation and content creation, but enterprises are now seeking solutions that can automate workflows, improve employee experiences, and streamline workplace operations.
Tackling Enterprise AI’s Biggest Challenges
BYOM directly addresses several issues that continue to slow enterprise AI adoption.
One of the biggest concerns remains governance. Organizations in regulated industries often face strict requirements around data handling, privacy, and compliance, making it difficult to adopt AI solutions that rely on third-party infrastructure outside their control.
Cost management is another challenge. As AI usage expands across departments, unpredictable consumption costs can quickly become a concern for IT and finance leaders.
BYOM allows organizations to leverage existing enterprise agreements with AI providers while maintaining visibility into usage and spending.
The approach also reduces dependency on a single AI vendor at a time when the competitive landscape continues to evolve rapidly. Enterprises can adopt new models as they emerge without having to replace workplace platforms or rebuild workflows.
AI-Powered Actions, Not Just Answers
The launch is part of Appspace’s broader AI strategy, which includes Model Context Protocol (MCP)-based integrations designed to connect AI assistants with enterprise systems and workplace workflows.
The company’s vision is to move beyond AI-generated responses and enable AI-driven actions.
That means using AI not only to answer employee questions but also to trigger workflows, surface organizational knowledge, manage workplace services, and automate operational tasks across enterprise environments.
It’s a direction increasingly pursued by enterprise software vendors as organizations seek practical returns on AI investments rather than standalone conversational experiences.
Why It Matters
The introduction of BYOM highlights a growing shift in enterprise AI priorities.
During the first wave of generative AI adoption, organizations largely focused on gaining access to powerful models. Today, many are focused on governance, integration, cost control, and long-term flexibility.
For HR, workplace experience, and digital workplace leaders, those concerns are especially relevant as AI becomes embedded into employee communications, knowledge management, and workplace operations.
Appspace’s BYOM strategy recognizes a simple reality: most large organizations have already chosen an AI direction. Instead of asking customers to adopt another model, the company is offering a way to bring existing AI investments into workplace experiences.
As enterprises continue building AI-powered workplaces, flexibility may prove just as valuable as intelligence itself
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