Hops Opens Collaborative AI Workspace Built by Wrike Founder Filev

Hops opened its Collaborative AI workspace to everyone on November 10, 2026, after more than 2,500 teams used it in early access. The product comes from For Good AI, led by founder and CEO Andrew Filev, who started Wrike — a company later acquired for $2.25 billion — and whose team also builds Zencoder's AI coding agents.

Hops puts AI into shared team documents, reusable work methods and custom apps rather than confining it to private chats. Filev's argument: faster individual output hasn't produced matching company-wide gains. He said founders and executives of established companies typically estimate their organizations move 10% to 20% faster than a year earlier — short of the 2x that individual productivity gains would suggest.

He drew a parallel to earlier workplace computing. "The PC era didn't pay off when PCs got faster. It paid off when they were networked. I believe AI will follow the same path," Filev said.

How does shared AI work in practice?

In Hops, people and the agent work in shared chats, documents, tables and decks. When someone asks the AI to draft or revise material, it writes directly into the shared file, so participants work from one version instead of passing AI output between private chats and team documents. The product page describes live editing, with AI document edits visible in version history.

Teams can save a working method as a reusable skill containing instructions, context and format. The knowledge contributor controls access and can update the skill, so colleagues apply the same method without rebuilding the process each time. Hops illustrated this with its own marketing lead, who taught the system the company's voice so a salesperson could request a customer email written straight into a shared document.

If a team lacks a tool, it can describe an application and have Hops build and run it inside the workspace on the same data and permissions. Hops says it connects to more than 2,000 apps, including CRM and cloud-storage tools, letting the agent draw on connected team data.

What are the permission rules and the price?

Hops won't use a file that the person making a request can't open. If an answer draws on information others in the thread can't see, the reply waits until the requester approves it. External sends and sensitive changes also require human approval. Administrators can control which teams use connected tools or set those tools to read-only.

The pay-as-you-go plan includes 5,000 free credits at $0 per user per month, with top-ups of 20,000 credits for $20. Teams draw from a shared balance, administrators set per-teammate spending limits, and purchased credits stay valid for 12 months. Chat, documents and collaboration don't consume credits. Consumption per AI task depends on the model, the volume of information read, tools used, number of steps and output length.

The Enterprise tier adds the full integration library, SSO, SCIM and audit controls, security review, custom terms and the option to bring an API key. Hops says it does not use customer data to train models.

Who is already using it?

Hops reports that 30 engineers plus a fleet of AI agents rebuilt its collaboration stack in a year. The company now runs its own CRM, support desk, IT requests and project tracking in the product, and employees can ask about leave policy and get an answer linked to the handbook.

Discern Security CEO Sai Venkataraman said in the launch release that his sales and marketing teams use Hops for pipeline reviews, event and website-prospect follow-ups, and campaigns. He said the product replaced tools including Slack and Jira at his company.

The public launch turns Hops's early-access period into a broader adoption test. Shared skills and permission controls aim to make AI output reusable without widening access to underlying information, while credit pricing removes per-seat charges and ties heavier automation to consumption. The open question is whether teams will move enough recurring work into the workspace for those shared methods to lift the company-level gains Filev says are lagging.