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AI That Finds Context in Your Work Systems Itself: Explained by Softprom, Superhuman and OpenAI Partner

News | 18.09.2026

"The answer to that question lives in three systems. I'm the fourth" — that is the day of an employee who works as a router between email, CRM, tickets and documents. The question is simple, but answering it means opening three tabs, gathering the pieces and gluing them together by hand. Softprom — a value-added IT distributor since 1999, official supplier of Superhuman (formerly Grammarly) solutions and an OpenAI partner under the OpenAI SMB Channel Partner program across Central and Eastern Europe, the Caucasus and Central Asia — in this article we explain how agentic AI finds context on its own.

The short answer

An agentic assistant is AI that does not wait to be handed context but gathers it itself: it has access to connected work systems, sees what the person is working on, and suggests the next action. Superhuman Go works exactly this way — across 100+ connected apps¹: when an employee writes an email or prepares for a meeting, the assistant has already pulled the relevant dates, statuses and documents. The difference from a chatbot is fundamental: the person does not carry data to the AI — the AI comes to the data.

A chat in a tab vs an agent in the flow

What the task looks like

Chat assistant in a tab Agent in the flow of work
Who gathers context from work systems The person — copies by hand The assistant — via connections
Where the work happens A separate chat tab Where the person already writes
When the AI kicks in When it is asked Suggests an action itself, from context
Coverage of daily tasks Only what is carried into the chat Email, calendar, documents, tickets

Where Superhuman Go gets context

Email and calendar

Before a meeting, the assistant gathers the correspondence history with the participants itself and recalls what was agreed last time — no digging through the mailbox.

CRM and tickets

In a reply to a client, Go inserts the current deal or ticket status from the connected system — the figure comes from the source, not from memory.

Documents and chats

A fact from a document or a decision from a work chat is pulled into the text at the moment of writing — three systems stop being three tabs.

What about corporate data

The agentic approach works only when access is under control. In Superhuman Go, app connections are managed centrally — the assistant sees only what the specific employee has access to. At the platform level, the same logic is provided by ChatGPT Business / Enterprise: connectors bring corporate data to the assistant within access rights, with corporate administration and data-handling policies. This is the second half of the "AI in the flow of work" stack: Superhuman is the built-in layer for daily tasks, OpenAI is the platform for working with company data.

FAQ

It is an assistant that gathers context from connected work systems itself and suggests the next action — unlike a chatbot, which has to be handed context manually. An example is Superhuman Go across 100+ apps.

No. Go works within the specific employee's access rights, and app connections are managed centrally. At the platform level, the controls come with ChatGPT Business / Enterprise from OpenAI.

Go is built into the flow of work: it acts where the person writes and pulls context from email, calendar and tickets itself. ChatGPT is a universal assistant and platform; in a company's stack they complement each other.

Over 100 connected apps: email, calendar, documents, CRM, ticketing systems and work chats. Softprom can help check the connections for a company's specific stack.

Through Softprom — a value-added IT distributor since 1999: supply of Superhuman solutions and connection to OpenAI solutions under the OpenAI SMB Channel Partner program in 33 countries.

¹ Superhuman data, October 2025: 40 million daily users, 50,000 organizations, Superhuman Go across 100+ connected apps.