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When we launched Merge for Workforce, the first problem we took on was runaway token spend. AI has become a top line item at every enterprise, growing every quarter, and the only lever most IT teams had to control costs was telling employees to use less of it.
But cost controls are only half of the story, because runaway token spend is a symptom of an even broader problem: most of what your company spends on AI goes to figuring out what you already know. Employees spend just as much of their day setting up AI tools and agents with the right context as they do using AI to get work done.
This changes today with the Universal Context Layer in Merge for Workforce. It turns your company's knowledge and skills into a self-improving company brain that every AI tool or agent can draw on, under each employee's existing permissions.
Merge syncs and vectorizes data from your systems ahead of time, so an agent queries a pre-indexed knowledge base instead of firing a live API call for every question. Ask what customers are unhappy about this week, or who owns a project, and it searches everything at once and answers with its sources. Synced connectors cover file storage, ticketing, and HRIS at launch.
Because the context layer knows which of your tools and skills fit the task, the agent reaches for the right ones instead of reasoning it out unaided, or probing tool after tool to find what it needs. Each request runs under your employees’ permissions, so an agent sees what the person behind it would see, and nothing more.
Context is one of the biggest levers to unlock what your employees get out of AI. Giving agents the right context immediately makes their work better and cheaper, and the payoff grows the more your team uses it.
Agents that arrive with context do better work for less. With Merge, your AI can retrieve answers across every connected system in one pass, and decide what tools and skills are needed to address a request. Instead of spending hours pasting in prompts and uploading files before getting AI to do real work, teams receive useful answers instantly.
Setting up AI tools and agents with context now only happens once. Instead of needing to start from scratch with every new agent harness, the Universal Context Layer follows your team to whatever AI tool or agent they adopt next, running with the same access to data as the employee using it.
Merge keeps working after your teams log off, highlighting skills they should be using, routing changes that would cut token spend, or a data mismatch it wants permission to fix.
By morning, these recommendations are in one place for an admin to approve or decline. The AI your team uses improves in the moment and compounds over time, based on the organization’s actual usage patterns.
The doing half of AI has been live in Merge for Workforce since launch. With the Universal Context Layer, enterprises can now deploy the knowing half: giving agents the context they need to make every action the right one.
Request a demo to see the Universal Context Layer run against your own systems, or learn more here about how Merge helps enterprises unlock the full potential of AI at work.
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