A Forrester Consulting study commissioned by Staffbase finds just 23% of US frontline workers feel fully supported. See the data and what to do.
A Forrester Consulting study commissioned by Staffbase finds just 23% of US frontline workers feel fully supported. See the data and what to do.
Which AI tools actually help internal comms in 2027? We match 17 tools to the job each one does, from drafting and answers to reaching the frontline.
A plain-language guide to MCP: what an MCP server is, how MCP integrations work, and how the Staffbase MCP Server keeps AI answers trusted and permission-aware.
What an employee superapp is, how it differs from an intranet or frontline app, why AI makes it urgent, and how Staffbase approaches it.
The best AI assistant for frontline teams is governed, platform-native, and built for every employee — not a bolt-on chatbot for a single team or task.
Searching for Workvivo alternatives? Compare social-first platforms with employee communication platforms that offer stronger content governance, clearer ownership of information, and support for AI-assisted search, content retrieval, and workflow automation.
Move beyond feature checklists. This 2026 enterprise intranet guide compares 10 leading platforms on adoption architecture, governance depth, and AI reliability — the factors that determine long-term success at scale.
An AI-powered EX platform improves how every employee accesses information, communicates, and works. The meaningful test isn’t whether a vendor claims AI — it’s whether AI is built into the architecture or bolted on.
Ten Staffbase alternatives compared on reach, features, and analyst recognition — plus a real answer on who Staffbase fits.
An AI-powered intranet is only as good as the content it draws from, not the technology behind it. Here's what makes one AI-native, and how to evaluate before you commit.
Governance, trust, and reach used to be separate conversations, with different owners, different tools, and different ways of measuring success. AI has brought them together. Once an AI layer sits between your content and your employees, you can't be trusted without being accurate, you can't be accurate without governing what the AI draws from, and none of it matters if it never reaches the people doing the work. At VOICES London, leaders from DHL, Cosentino and Kyowa Kirin weren't debating whether AI matters. They were working on what comes after that question: whether the answer that reaches an employee is actually any good.
Explore why many AI initiatives fail to deliver real business value and what organizations can do differently. Discover three practical approaches to AI adoption, along with actionable recommendations to strengthen organizational readiness, build employee trust and turn AI investment into measurable impact.