Market ShiftS&P GlobalS&P Global Market IntelligenceKenshoSally MooreDarren Thomas

S&P Global Splits Market Intelligence Into Kensho and Enterprise Units

S&P Global reorganizes Market Intelligence into Kensho Data & Platforms and Enterprise Solutions verticals to accelerate agentic AI workflows and platforms.

6 min readPublished 2026-07-08

What happened

On July 6, 2026, S&P Global announced a sweeping reorganization of its Market Intelligence division, restructuring the business into two focused verticals and reshuffling its executive leadership team. The stated goal is to accelerate the rollout of agentic AI workflows and to pair the company's breadth and depth of data with more integrated, AI-native tools and experiences.

Under the new operating model, S&P Global Market Intelligence is organized into two complementary verticals: Kensho Data & Platforms and Enterprise Solutions. The move puts Kensho — S&P Global's AI and machine-learning unit — at the front of the Market Intelligence business rather than treating it as a back-office capability, a signal of how central AI has become to the division's strategy.

The Kensho Data & Platforms vertical folds data delivery, platform capabilities, and client engagement into a single AI-led structure. Sally Moore, the company's Chief Client Officer, expands her mandate to become Co-Head of Market Intelligence, Kensho Data & Platforms. Bhavesh Dayalji takes a new role as Head of Kensho Data & Intelligence, while Whit McGraw becomes Head of Platforms. The Platforms group consolidates S&P Global's flagship client interfaces — Capital IQ, RatingsDirect, Visible Alpha, and With Intelligence — with an explicit focus on delivering an AI-native user experience and accelerating the rollout of skills and applications that make the company's intelligence easier to access, connect, and act on.

The Enterprise Solutions vertical continues to be led by Darren Thomas, who takes on the elevated role of Co-Head of Market Intelligence, Enterprise Solutions and joins the S&P Global Executive Leadership Team. This vertical is oriented toward the company's most differentiated software assets and toward solutions that power critical infrastructure, data networks, and agentic workflows tied to financial markets. Alongside the reorganization, S&P Global disclosed that Chief Legal Officer Steve Kemps will retire at the end of 2026 after a transition period.

Why it matters for practitioners

When one of the largest incumbents in financial market intelligence rebuilds its entire operating model around agentic AI, it is less a product announcement than a statement about where the category is heading. For competitive and market intelligence teams that consume S&P Global data — or compete with vendors that do — the reorganization carries several practical implications.

1. "Agentic" has moved from roadmap language to org-chart reality. For most of 2025 and early 2026, agentic AI was a feature vendors bolted onto existing platforms. S&P Global is now naming a vertical after autonomous workflows and elevating its AI unit to co-lead the business. That structural commitment tends to precede faster shipping cadence, because the people building agents no longer have to negotiate for resources across a legacy product org.

2. Platform consolidation is the near-term customer benefit. McGraw's Platforms group is explicitly tasked with simplifying and consolidating existing client interfaces. Practitioners who juggle Capital IQ, RatingsDirect, Visible Alpha, and With Intelligence as separate logins should expect a push toward a unified, AI-native surface. This mirrors a broader industry pattern in which competitive intelligence buyers increasingly reject point-solution sprawl in favor of consolidated intelligence layers that agents can query programmatically.

3. Portfolio pruning signals sharper focus. S&P Global moved its Maritime & Trade business into S&P Global Energy and shifted Credit Analytics risk capabilities into S&P Global Ratings. Divesting adjacent datasets out of Market Intelligence frees the division to concentrate on the differentiated software and data assets that support agentic financial workflows — a reminder that reorganizations reveal priorities as much through what they remove as what they add.

Key details

  • Announcement date: July 6, 2026
  • New structure: Two verticals — Kensho Data & Platforms and Enterprise Solutions
  • Sally Moore: Chief Client Officer, expanded to Co-Head of Market Intelligence, Kensho Data & Platforms
  • Darren Thomas: Co-Head of Market Intelligence, Enterprise Solutions; joins the S&P Global Executive Leadership Team
  • Bhavesh Dayalji: Head of Kensho Data & Intelligence
  • Whit McGraw: Head of Platforms
  • Platforms consolidates: Capital IQ, RatingsDirect, Visible Alpha, With Intelligence
  • Portfolio moves: Maritime & Trade to S&P Global Energy; Credit Analytics risk capabilities to S&P Global Ratings
  • Leadership change: Chief Legal Officer Steve Kemps to retire at the end of 2026
  • Stated rationale: Accelerate agentic solutions, platform capabilities, and an AI-native customer experience

Market implications

S&P Global's reorganization lands in an intelligence market already reorienting around agents. AlphaSense has spent 2026 raising capital at multi-billion-dollar valuations and building agentic research partnerships; PitchBook, Perplexity, and others have shipped MCP connectors that let AI assistants pull market data directly into workflows. Against that backdrop, an incumbent of S&P Global's scale reshaping its operating model is a strong confirmation that agentic delivery — not raw data volume — is becoming the axis of competition.

For buyers evaluating incumbent providers, the reorganization sharpens the comparison. A team weighing S&P Global against a fast-moving challenger like AlphaSense is now comparing two different theories of how agentic market intelligence should be delivered: S&P Global's consolidated, data-network-anchored platform versus a search-native research assistant built agent-first from the ground up. Procurement teams running that evaluation should press both vendors on concrete agentic capabilities — what workflows are actually autonomous today, how agents access underlying data, and what governance surrounds them — rather than accepting roadmap promises. Our breakdown of AlphaSense alternatives offers a starting framework for that comparison.

The deeper signal is competitive rather than product-specific. When the market's largest players restructure around agents within months of one another, the window for differentiation on AI narrows quickly. The vendors that win the next phase will be those whose agentic workflows demonstrably reduce analyst effort — surfacing answers, not just documents — while preserving the data lineage and trust that institutional customers require. S&P Global's bet is that owning both the data and the agentic delivery layer is the durable advantage. The coming quarters will test whether that vertical integration ships faster than the challengers moving in the opposite direction.

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