Forrester Research

Forrester announced it is building AI tools for use by its own internal analysts to help them access and apply the company's proprietary data and expertise more efficiently. This was confirmed in a March 2026 company blog post from the chief product officer.

Forrester's chief product officer stated that the company is building AI tools specifically for its analysts, describing the goal as 'amplifying human intelligence' rather than producing more content volume. The specific technical function, scope, and deployment timeline of these internal analyst tools have not been publicly detailed beyond this announcement. It is therefore unclear what tasks these tools automate or augment.

Forrester launched Forrester AI Access in September 2025, a self-service subscription offering that extends Forrester AI capabilities to all staff levels across a client organization—not just designated research leads—so that anyone from a junior analyst to a senior executive can query Forrester's proprietary research library on demand. The product is available globally in three versions: Technology, Consumer & Digital, and B2B.

Forrester AI Access is built on the same underlying Forrester AI (formerly Izola) generative AI engine. It receives free-text queries and produces synthesized, cited answers drawn from Forrester's proprietary research, data, and frameworks. Unlike the Forrester Decisions service tier (which bundles analyst guidance sessions), AI Access is a streamlined, AI-first self-service layer designed for broader organizational roll-out. Forrester explicitly states it does not use client prompts to train its models. The product is also available as a certified app in the Microsoft Teams Marketplace, announced March 2026.

Forrester deployed Forrester AI (originally called Izola), a generative AI tool that lets clients ask open-ended questions and instantly receive synthesized answers drawn from hundreds of thousands of pages of Forrester's proprietary research. The tool launched in beta in October 2023 and became available to all Forrester Decisions clients by April 2024.

Forrester AI uses a retrieval-augmented generation (RAG) architecture to scan Forrester's internal research library—reports, blog posts, and data—and produce concise, cited answers in natural language via a chat interface. The AI receives a text query from the client, retrieves the most relevant Forrester research passages, and outputs a synthesized response with traceable links back to source reports. Forrester has stated it does not use client prompts or responses to train its models. By March 2026, client usage was up 55% year-over-year and prompt volume had grown 65%.