Forrester’s own AI research tool has crossed a symbolic threshold. During the company’s second-quarter earnings call on July 30, executives disclosed that clients now use Forrester AI more often than conventional keyword search to navigate the firm’s vast research library. At the same time, the analyst house has slipped its research directly into Microsoft 365 Copilot and Teams, turning a subscription-based knowledge base into an in-workflow assistant for millions of Windows users.
Here is what changed, what it means for enterprise Windows shops, and the practical steps IT leaders should consider next.
A research tool that lives where you work
Forrester first launched its AI-powered app for Microsoft Teams in March 2026, then followed up on April 28 with a dedicated agent for Microsoft 365 Copilot. The integration lets licensed users query Forrester’s proprietary studies, frameworks and data without leaving Word, Excel, PowerPoint or Teams. Instead of switching to a separate web portal, employees can ask a question — “What’s the ROI of generative AI in supply chain management?” — and receive a research-backed answer with links to the original analyst reports.
The Copilot agent uses a Model Context Protocol connector, meaning enterprises can also bring Forrester’s content into their own custom systems. Forrester says hundreds of accounts have already been activated for Teams and Copilot access. Plans are underway to extend similar integrations to Google Gemini, Anthropic Claude and Slack, but the Microsoft launch is the first in its competitive set and arguably the most consequential for Windows-centric organizations.
That embedded approach changes the research habit. Enterprise knowledge workers no longer need to remember a separate URL or learn a niche search syntax. They stay inside the Office apps they already use, lowering the friction between curiosity and insight. Forrester CEO George Colony calls this a deliberate move to place expertise “in the flow of work.”
A concrete data point, not just a theory
Colony has spent the past quarter warning of a “visibility vacuum” — a world where buying signals evaporate because decision-makers use AI answer engines rather than traceable search, web and content channels. His B2B Summit in Phoenix was built around that worry. Now Forrester has offered a rare internal proof point: the very research clients pay for is increasingly accessed through a conversational AI interface rather than traditional search.
There is a crucial nuance that enterprise buyers should appreciate. Forrester AI is a closed system. All its answers are grounded exclusively in research that clients have already licensed. It cites its sources and links back to the full reports. That stands in sharp contrast to public large-language models that may hallucinate or blend proprietary data with open-web material. Forrester also asserts that its Teams and Copilot integrations do not use submitted prompts or generated responses to train any external models, a policy that directly addresses a top data-governance concern for regulated industries.
Still, the internal metric is revealing. If the firm that sells research sees its own clients preferring AI over search within a controlled, trustworthy environment, it suggests the interface shift is genuine and not merely a prediction about consumer search engines.
What this means for everyday Windows users, power users and admins
For the vast majority of individual Windows users who don’t hold Forrester seats, this news is a distant corporate curiosity. But for the millions of professionals inside enterprises that subscribe to Forrester — analysts, strategists, product managers, IT architects — the Microsoft 365 Copilot integration removes a persistent workflow break. Those employees can now build a business case, slide deck or project plan and pull authoritative research into their document without ever leaving the app.
Power users who already craft complex Copilot prompts will gain a new skill: constructing queries that target Forrester’s proprietary taxonomies. Instead of settling for generic web answers, they can demand citations from a specific report or analyst. The Copilot agent understands natural language, but crafting precise research queries will become a small productivity art form.
For IT administrators and security teams, the integration raises familiar governance questions, but with a manageable scope. Key points to verify before rolling out the Forrester agent broadly:
- Licensing: Only eligible Forrester seat holders can use the agent. Confirm your contract covers Copilot-based access.
- Identity and access: The agent respects existing Microsoft Entra ID policies, but admins should test that the Copilot extension honors group memberships and conditional access rules.
- Data handling: Forrester’s statement that prompts aren’t used for training should be confirmed in your organization’s data protection addendum. While the policy aligns with Microsoft’s own enterprise promises, get it in writing.
- Auditability: All Copilot interactions are logged in Microsoft’s compliance portals, but the specific research answers come from Forrester’s back end. Clarify what usage telemetry Forrester captures and whether it syncs with your retention policies.
- Content scope: Decide whether to enable the agent for all licensed users or to restrict it to certain departments. The agent can pull from Forrester’s entire library; if your firm licenses only a subset, verify that the agent scopes responses accordingly.
The broader signal is that Microsoft 365 Copilot is maturing into a front door for specialist agents rather than a single general-knowledge assistant. Forrester’s agent is a template: a vetted, bounded knowledge source plugged directly into the productivity suite. IT leaders evaluating similar agents from other research firms, legal databases or internal knowledge bases can study Forrester’s approach as an early blueprint.
How we arrived at the Copilot research assistant era
Forrester began its AI pivot in earnest in late 2025 with the launch of Forrester AI Access, a conversational interface for its research library. The product generated roughly $10 million in bookings within nine months, the company said, offering an early signal that clients were willing to pay for AI-mediated research. But access was still tethered to Forrester’s own platform.
The push into Microsoft’s ecosystem followed a straightforward logic. Forrester’s own surveys show that 85 percent of enterprise knowledge workers use Microsoft 365 daily. Embedding research where those workers already live — in Teams chats, Outlook emails and Office documents — aligned the tool with existing habits. The Teams app became a lightweight gateway; the Copilot agent extended the same capability across the entire Office suite.
This trend isn’t happening in a vacuum. Three Forrester reports published in the second quarter document how AI is rewriting corporate roles. The most detailed, an analysis of the AI-era CIO, argues that IT leaders will need to master four new responsibilities: architecting decision-making systems for autonomous agents, governing agent failures, acting as an economist measuring AI value and cost trade-offs, and coaching boards on probabilistic AI outputs.
Meanwhile, Forrester’s research on US marketing agencies found that nine of the top ten agencies already use generative AI and half deploy agentic AI. The vendor pecking order has shifted: Google is now the top AI provider to agencies, Adobe is second for generative workloads, and Anthropic leads for agentic use, displacing OpenAI from positions it held a year earlier. That vendor reshuffling matters because it shows that enterprise AI adoption is not static — and that Microsoft’s Copilot ecosystem will need to accommodate multiple AI models over time.
Concrete steps for IT teams today
If your organization holds a Forrester license, here is a practical checklist to turn the Copilot agent from a press release headline into a governed, useful tool:
- Verify eligibility and contracts: Contact your Forrester account manager. Confirm that your current agreement permits Microsoft 365 Copilot access and that the Model Context Protocol connector is included.
- Run a pilot group: Start with a small cohort of power users in strategy, IT or product management. Provide a one-page guide on how to invoke the Forrester agent within Copilot (typically by typing “Ask Forrester” or selecting it from the agent picker).
- Define acceptable use: Publish a brief policy clarifying that the agent is for licensed research only, not as a substitute for internal knowledge bases or legal advice. Remind users that the data is proprietary and should be cited appropriately.
- Review security and compliance: Work with your Microsoft 365 admin center to validate that the Copilot extension appears in the Integrated Apps inventory. Enable it for targeted users, review audit logs after two weeks, and check with Forrester’s trust team for a data processing addendum if not already in place.
- Collect feedback: After 30 days, survey pilot users. Ask whether the agent reduced the time to find relevant research, whether the answers were actionable, and whether it changed how often they use traditional search. That data will inform a broader rollout — or a renegotiation of your Forrester contract.
Even if you are not a Forrester customer, the integration offers a learning moment. Any organization planning to connect an internal knowledge base or third-party data feed to Copilot should observe Forrester’s model: gated access, source-grounded answers, explicit no-training policy, and a connector that preserves document lineage. Those are the architectural principles that keep AI-assisted research trustworthy inside a regulated enterprise.
What comes next
Forrester has publicly said it will deliver additional AI products and capabilities in the second half of 2026. The company is working on Google Gemini, Anthropic Claude and Slack integrations, which could diversify how research enters different workflows. For Microsoft-centric firms, however, the immediate evolution will likely be deeper Copilot functionality — perhaps agent-to-agent collaboration where Forrester’s research agent can hand off a finding to a financial modeling agent without a human mediator.
The financial backdrop adds pressure. Forrester’s revenue dropped 10 percent year over year to $100.2 million, and total contract value slipped 3 percent to $283.2 million. Yet tech research contract-value bookings grew double digits in the same quarter, suggesting that AI-infused research is the growth engine the company is betting on. If the Copilot agent helps stabilize or grow contract value, expect Forrester to accelerate its platform-embeddable research push and for competitors to follow quickly.
For Windows enterprise users, the practical takeaway is simple: the line between a separate research portal and the Office apps you open every morning is disappearing. Forrester’s internal data — AI queries overtaking search — is an early indicator of a broader pattern. Whether the research comes from Forrester, Gartner or your own internal wiki, the interface of choice is increasingly a conversational agent inside the tool you already have open. IT leaders who prepare for that shift with deliberate governance, not blanket bans, will give their organizations a head start.