LSEG’s Company Intelligence Becomes Its Third AI Agent for Workspace

London Stock Exchange Group has switched on Company Intelligence, an AI agent inside LSEG Workspace that builds a full company research report, price performance, financials, peer comparisons, analyst notes, deals and ownership data included, in the time it takes to type a company name. It is the third such agent the data and markets giant has rolled into Workspace this year, and it lands with an odd asterisk: unlike its two predecessors, it has not reached Microsoft Teams yet.

That gap matters more than the feature list. LSEG has spent four years and billions of pounds building Workspace into Microsoft’s collaboration stack specifically so tools like this one would not need a separate login. Company Intelligence shipping into the desktop app first, with Teams promised only as “soon,” is the first crack in an otherwise tight rollout cadence.

Company Intelligence Turns a Day of Research Into One Report

The pitch is straightforward. Financial professionals building a view of a company usually have to hop between pricing screens, filings, transcripts and news feeds, a process that eats hours, especially outside a banker’s or analyst’s core coverage list. Company Intelligence collapses that into a single generated report.

The reports combine price performance, key financials, peer comparisons, analyst research, deals, events and ownership data, alongside AI-generated summaries of Reuters News and company transcripts, built on LSEG’s own financial frameworks. Users can tailor which sections show up for their role, and Workspace remembers those preferences for the next report. Finished reports export to PDF or Word for a client-ready document, while the underlying tables push straight into Excel.

LSEG’s Third AI Agent in a Six-Month Stretch

Company Intelligence did not arrive alone into a quiet product line. It followed Deep Research, an agent built for complex multi-step financial questions, which LSEG had already piloted with around 1,600 users by the end of the first quarter. It also followed Workspace AI Search, a conversational search agent that got its wide release on July 13, 2026, days before Company Intelligence showed up.

Here is how the three stack up so far.

LSEG’s own language tracks the pace. In its Q1 2026 trading update, the company said it was making very strong progress with the development and roll-out of AI functionality within Workspace, adding that its focus through the rest of 2026 would be roll-out and adoption rather than building from scratch.

Why Isn’t Company Intelligence in Teams Yet?

Because it launched first, and Teams access is still being built out behind it. LSEG says Company Intelligence is available in Workspace today, with the Microsoft Teams version coming soon, unlike Deep Research and Workspace AI Search, which both already run inside the Teams app.

That sequencing is a departure from how the last two agents rolled out, and it is the one detail company statements gloss over. Windows News, covering Workspace AI Search’s July 13 debut, reported that the Teams version of that tool is not a free add-on users can flip on themselves; it rides on an existing LSEG Workspace license and requires the right entitlements before an admin can even see it. If Company Intelligence follows the same path once it reaches Teams, IT departments will need to check licensing before end users notice anything new.

Who Actually Opens the Report

LSEG built Company Intelligence around three specific desks, according to its own product messaging:

• Relationship managers and bankers, who need a consistent, fact-based overview walking into a client meeting.
• Analysts covering names outside their usual list, who need to get up to speed fast without building a report from scratch.
• Investment teams, who use the exportable format to brief colleagues or clients without re-keying the same numbers into a deck.

Reports can be edited manually or reshaped through plain-language instructions, adding, cutting or reprioritizing sections on the fly, which is the same customization logic LSEG built into Deep Research and Workspace AI Search. The company is clearly reusing one underlying framework across three different front doors.

The Earnings Behind the Rollout

This is not a side project. LSEG’s Q1 2026 numbers show why the company keeps shipping Workspace agents on a near-monthly cadence instead of bundling them into one big release.

• 9.8% organic growth in LSEG’s total income excluding recoveries in the first quarter of 2026.
• 5.1% growth in the Data & Analytics division that houses Workspace.
• 150+ customers connected or onboarding to LSEG’s Model Context Protocol server as of the Q1 update.
• 1,600 users testing Deep Research in the same quarter, with investment management professionals making up more than half of that group.

LSEG framed the strategy plainly in that same update, saying it believes that both through Workspace and its broader distribution channels it can drive meaningful upsell and displacements over time. Displacement is the operative word. Every new agent gives existing Workspace customers a reason to expand their license rather than shop for a standalone AI research tool elsewhere.

A Cheaper Terminal Getting More Buttons for the Same Price

The competitive backdrop makes that strategy legible. Several 2026 market comparisons put a Bloomberg Terminal seat at roughly $24,000 to $32,000 a year, with no discounted or stripped-down tier available at any price. LSEG Workspace has consistently priced closer to $22,000 a year per seat, already the cheaper of the two before any AI feature is added.

Stacking Deep Research, Workspace AI Search and Company Intelligence into that same license, at no extra line item that LSEG has disclosed, turns a modest price advantage into a widening functionality gap. It also answers a threat that has nothing to do with Bloomberg: a wave of smaller, AI-native research tools, from AlphaSense to newer entrants built purely around large language models, that undercut both incumbents on price. LSEG’s Q3 2025 update had already flagged this shift, describing new partnerships with Databricks and Snowflake specifically so its licensed data could feed AI agents built on other companies’ platforms too.

More Workspace Data Is Already Queued for Microsoft’s Stack

The underlying plumbing goes back further than any of these three agents. Microsoft and LSEG signed a 10-year strategic partnership in December 2022 that included a Microsoft equity stake in LSEG and a minimum cloud spend commitment of $2.8 billion (about £2.3 billion) over the life of the deal. Everything shipping into Workspace and Teams now, Deep Research, Workspace AI Search, Company Intelligence, runs on that infrastructure bet made more than three years earlier.

Microsoft has since layered Copilot Studio access on top, letting LSEG customers compose their own AI agents combining policies, prompts, tools and actions against licensed LSEG data. LSEG has said it is continuing to add data sets to that connector, with company fundamentals and corporate actions among the most recent additions, and more, including transcripts and FTSE Russell index data, still in the queue. Company Intelligence’s own Teams release sits somewhere in that same backlog, waiting its turn behind whatever LSEG and Microsoft’s engineers ship next.