Frontier Alliances at a glance
Permalink to “Frontier Alliances at a glance”| OpenAI Frontier Alliances | Details |
|---|---|
| Announcement date | February 23, 2026 |
| What is it? | A set of multi-year partnerships combining OpenAI’s Frontier platform with global consulting expertise to move enterprise AI from pilot to production. |
| Partners | Accenture, BCG, Capgemini, McKinsey and Co. |
| Purpose | The Alliances partners bring C-suite relationships, domain expertise, and global delivery capacity to accelerate the adoption of AI coworkers at global enterprises. |
| Partner focus | BCG and McKinsey: Strategy, operating model redesign, change management plan and AI use case prioritization. Accenture and Capgemini: Full-stack technical delivery, data architecture modernization, and scaled deployment. |
Why did OpenAI build an alliance instead of just selling software?
Permalink to “Why did OpenAI build an alliance instead of just selling software?”While OpenAI Frontier provides the technical foundation for enterprise AI adoption, it cannot deliver value unless AI agents are embedded within enterprise workflows at scale. So, while data and AI teams see results with AI experiments, ensuring they’re reflected once the AI models are deployed is a challenge.
This widening gap between AI use case experimentation and production isn’t closing on its own.
62% of the organizations surveyed by McKinsey’s State of AI 2025 report (based on 1,993 respondents across 105 countries) are at least experimenting with AI agents. Yet, only 23% have scaled an agentic AI system anywhere in their enterprises.
“Use of agents is not yet widespread: Most of those who are scaling agents say they’re only doing so in one or two functions. In any given business function, no more than 10 percent of respondents say their organizations are scaling AI agents.” - McKinsey on the state of AI adoption in 2025
Sylvain Duranton, Global Leader of BCG X, emphasizes the need for a well-engineered deployment strategy to drive adoption and value within enterprises:
“Organizations are at a clear inflection point. Agentic AI changes how work gets done, but only if it’s engineered, deployed, and adopted at enterprise scale.”
Virginia Simmons, Senior Partner and Global Leader of Alliances & Ecosystems at McKinsey & Company, echoes Duranton’s sentiments:
“To ensure enterprise value is realized, measured, and sustained, we need to rewire processes, operating models, and capability-building end-to-end.”
Fernando Alvarez, Capgemini’s chief strategy and development officer, is the most candid about why the alliance model exists at all. In an interview with CNBC, he said:
“It’s not an easy task. If it was a walk in the park, OpenAI would have done it by themselves, so it’s recognition that it takes a village.”
The consulting firms bring what OpenAI cannot supply at Fortune 500 scale: existing C-suite relationships, domain expertise across industries, change management capability, and global delivery infrastructure.
What does each Frontier Alliance partner actually do?
Permalink to “What does each Frontier Alliance partner actually do?”While BCG and McKinsey will handle deployment strategy and operating model, Accenture and Capgemini will own technical delivery and data infrastructure.
Let’s quickly explore their specific roles.
BCG
Permalink to “BCG”| Aspect | Details |
|---|---|
| Overall focus | Strategy, operating model redesign, and AI use case prioritization. |
| Delivered through | BCG X — nearly 3,000 technologists across 80+ cities. |
| What it involves | Identifying high-value AI use cases, redesigning processes for agentic workflows, and building the adoption infrastructure needed for sustained impact. |
| Key quote | “Agentic AI changes how work gets done, but only if it’s engineered, deployed, and adopted at enterprise scale. That’s where BCG X’s build capabilities and BCG’s transformation expertise come in – helping clients embed AI into their most critical functions.” Sylvain Duranton, Global Leader of BCG X, the tech build and design unit of BCG |
McKinsey and Co.
Permalink to “McKinsey and Co.”| Aspect | Details |
|---|---|
| Overall focus | C-suite alignment, workforce redesign, and enterprise-wide change management. |
| Delivered through | QuantumBlack, McKinsey’s AI arm. |
| What it involves | Rewiring operating models, realigning leadership, and integrating agents across high-value workflows with sustained capability building. |
| Key quote | “Clients are tackling the complexity of moving from siloed experimentation to real impact. Working side by side with OpenAI enhances our ability to help companies reimagine their business to capture more value from AI, from strategy to talent, operating models, data, technology architecture, and change management.” Ben Ellencweig, a Senior Partner who leads alliances, acquisitions and partnerships globally for QuantumBlack, AI by McKinsey |
Accenture
Permalink to “Accenture”| Aspect | Details |
|---|---|
| Overall focus | Full-stack technical delivery and data architecture modernization at scale. |
| Delivered through | Dedicated Frontier practice with tens of thousands of professionals upskilled on ChatGPT Enterprise. |
| What it involves | End-to-end implementation from strategy through deployment; Includes wiring Frontier into enterprise systems, modernizing data architectures, managing security, and operating the deployment long-term. |
| Key quote | “This is the inflection moment. It’s our time to help enterprise clients to actually realize the value of AI.” Lan Guan, the chief AI and data officer at Accenture |
Capgemini
Permalink to “Capgemini”| Aspect | Details |
|---|---|
| Overall focus | Governed Frontier deployments in regulated industries. |
| Delivered through | A dedicated flagship OpenAI Enterprise Frontier delivery function. |
| What it involves | Data readiness, compliance architecture, and governance instrumentation for financial services, healthcare, and energy deployments where regulatory constraints are the defining delivery challenge. |
| Key quote | “By combining our domain expertise and assets with OpenAI’s cutting-edge models and platform, we move faster, build smarter, and create solutions that weren’t possible before.” Aiman Ezzat, CEO of Capgemini |
For data leaders, the practical takeaway is this: BCG and McKinsey will liaise directly with the C-suite. Accenture and Capgemini will operate in your data environment. The quality of what the latter two can deliver is directly bounded by the quality of your data infrastructure.
What does OpenAI Frontier Alliances reveal about the real blockers to enterprise AI?
Permalink to “What does OpenAI Frontier Alliances reveal about the real blockers to enterprise AI?”When you go through the various announcements on Frontier Alliances, they all echo similar problems–siloed data, lack of strategy, data readiness for AI, architecture problems, and more.
For instance, McKinsey’s research identifies three persistent blockers: fragmented data and legacy tech, workflows that were never redesigned for AI, and a lack of clear scaling priorities.
Meanwhile, Capgemini identified the primary barrier as no longer the technology itself, but the readiness of data, operating models, and digital infrastructure.
BCG’s CEO Christoph Schweizer calls for “linking AI to strategy, building into redesigned processes, and adopting at scale with aligned incentives and culture.”
Accenture recommends an “end-to-end execution across technology, data, security, and change management.”
What this means for data and AI leaders specifically
Permalink to “What this means for data and AI leaders specifically”The Frontier Alliances announcement has four practical implications for CDOs and heads of data that are worth thinking through now, before an engagement lands.
1. The timeline is moving faster than your planning cycle.
If your CEO is already in conversation with BCG or McKinsey about AI strategy, a Frontier deployment conversation is likely already in the plan. This consulting engagement will surface data readiness gaps quickly.
Data and AI leaders who aren’t proactively building the context layer will find themselves reactive when the project arrives.
2. Data readiness is now a C-suite visibility issue.
The consulting firms are entering the conversation through the C-suite, not through the data team. So, governance quality, metadata completeness, and semantic definition coverage are about to receive executive attention. This is an opportunity as much as a risk: data leaders who can articulate the state of their data foundation clearly will be better positioned in these conversations than those who cannot.
3. The quality of what consulting firms can deliver is bounded by underlying data infrastructure.
Accenture and Capgemini both cite data architecture modernization as core to their delivery scope. That work happens in your environment, on your metadata, using your definitions, i.e., leveraging your context layer. While a consulting engagement can help build one, it will delay your AI execution timelines significantly.
4. Model-agnostic is the right default.
The infrastructure layer, including the context layer, should be built to work regardless of which agent platform the consulting firm brings. An open, interoperable context layer built on a platform like Atlan is what makes the data foundation durable across vendor relationships, alliance shifts, and platform changes.
→ Learn more about Enterprise Context Layer
What is the data infrastructure question no Frontier Alliances announcement answers?
Permalink to “What is the data infrastructure question no Frontier Alliances announcement answers?”What OpenAI ships, and what the consulting firms deliver, is an agent execution environment and a deployment methodology.
But what’s needed for this setup to deliver value? An open, interoperable, sovereign context layer, complete with business glossary, lineage graphs, governance policies, quality signals, and more.
Agents need semantic definitions, metadata governance, lineage instrumentation, and data quality signals to operate reliably. This infrastructure, i.e., the context layer, must exist before the agent platform can work, and building it is the enterprise’s responsibility.
In practice, this means:
- Business glossaries that define what terms mean across teams
- Lineage graphs that show where data comes from and how it has been transformed
- Governance policies that control what agents can access and when
- Quality signals that tell agents whether the data they are consuming is fit for purpose
This is where Atlan’s sovereign context layer plays a foundational role, as the infrastructure the Frontier Alliances partners require to deliver what they promise.
Real stories from real customers: Organizations that build their context foundation before AI agents arrived
Permalink to “Real stories from real customers: Organizations that build their context foundation before AI agents arrived”Workday: Building a semantic layer for AI using Atlan’s MCP server
Permalink to “Workday: Building a semantic layer for AI using Atlan’s MCP server”
Workday: Building a semantic layer for AI using Atlan's MCP server
"All of the work that we did with Atlan to get to a shared language amongst people at Workday can be leveraged by AI via Atlan's MCP server. We can start to teach AI language. [With Atlan], we're co-building the semantic layer that AI needs with new constructs like context products that can start with an end-user's prompt and include them in the development process. It's a monumental task, but the impact will be huge."
Joe DosSantos, Vice President, Enterprise Data & Analytics
Workday
Workday: Context as Culture
Watch nowMastercard: Embedded context by design with Atlan
Permalink to “Mastercard: Embedded context by design with Atlan”
Mastercard: Embedded context by design with Atlan
"AI initiatives require more context than ever. Atlan's metadata lakehouse is configurable, intuitive, and able to scale to hundreds of millions of assets. As we're doing this, we're making life easier for data scientists and speeding up innovation."
Andrew Reiskind, Chief Data Officer
Mastercard
How Mastercard is engineering context into the fabric
Watch nowSumming up: Frontier Alliances moves the deadline forward
Permalink to “Summing up: Frontier Alliances moves the deadline forward”The Frontier Alliances announcement compresses the enterprise AI timeline in a specific way. Organizations that have invested in data governance, metadata management, and semantic infrastructure are better positioned to capture value when engaging with the consulting firms about Frontier deployments.
Those that haven’t done so yet will spend the first phase of the engagement fixing data problems before any agent can do useful work — at consulting rates, on a compressed timeline, with executive visibility on the delay.
The alliances are a signal – the world’s largest consulting firms have made a multi-year bet that enterprise AI deployment at scale is the defining work of the next several years. For data and AI leaders, the question is not whether this wave is coming, but whether the data foundation will be ready when it does.
Atlan helps enterprises build that foundation before the engagement arrives. Atlan unifies metadata across systems, engineers shared semantic definitions, and instruments governance in a context layer that is open, interoperable, and enterprise-owned.
FAQs about OpenAI Frontier Alliances
Permalink to “FAQs about OpenAI Frontier Alliances”1. What is Frontier Alliances?
Permalink to “1. What is Frontier Alliances?”Frontier Alliances is OpenAI’s program for accelerating enterprise deployment of the Frontier platform and scaling the use of AI coworkers. Alliances combines OpenAI’s technical capabilities with the strategy, systems integration, and change management expertise of the four largest global consulting firms–Accenture, Boston Consulting Group (BCG), Capgemini and McKinsey & Co.
2. What companies has OpenAI partnered with?
Permalink to “2. What companies has OpenAI partnered with?”On February 23, 2026, OpenAI announced multi-year partnerships with four global consulting firms: Accenture, Boston Consulting Group (BCG), Capgemini and McKinsey & Co. These firms will work alongside OpenAI’s Forward Deployed Engineering (FDE) team to help enterprise customers define their AI strategy and scale use cases powered by their AI agents.
3. How does Frontier Alliances differ from just buying OpenAI Frontier?
Permalink to “3. How does Frontier Alliances differ from just buying OpenAI Frontier?”Buying Frontier gives an enterprise access to the agent execution platform. A Frontier Alliance engagement adds the strategy, operating model redesign, systems integration, data architecture work, change management, and long-term operational support needed to deploy agents at scale. OpenAI’s own framing is that the limiting factor is not model capability but how agents are built and run inside organizations. The consulting firms exist to close that gap. However, it’s crucial to note that the data and governance foundation those engagements require must still come from the enterprise itself.
4. What do the consulting firms do in a Frontier Alliance engagement?
Permalink to “4. What do the consulting firms do in a Frontier Alliance engagement?”BCG and McKinsey focus on strategy and operating model: helping leadership teams decide where to start, how to redesign workflows, and how to drive adoption. Accenture and Capgemini focus on technical delivery: wiring Frontier into enterprise systems, modernizing data architectures, and managing the lifecycle of the deployment. In practice, data leaders are most likely to interact directly with Accenture or Capgemini, as their scope includes the data infrastructure work.
5. What data infrastructure does an organization need before starting a Frontier deployment?
Permalink to “5. What data infrastructure does an organization need before starting a Frontier deployment?”Before Frontier agents touch production data, enterprises need a unified metadata layer spanning their core data systems, machine-readable business definitions for the terminology agents will encounter, formalized data ownership, and governance instrumentation including access policies, independent audit capability, and tested escalation paths. The consulting firms can help build some of this, but the foundational work — semantic definitions, data ownership, lineage — is most efficient when handled before the engagement begins.
6. How does Atlan fit into a Frontier Alliance deployment?
Permalink to “6. How does Atlan fit into a Frontier Alliance deployment?”Atlan serves as the context layer that Frontier agents consume. You can consult with Accenture or Capgemini to integrate Frontier into your enterprise’s systems. However, the quality and completeness of the enterprise’s metadata, semantic definitions, governance policies, and lineage determine what these agents can reliably do. Atlan’s metadata lakehouse provides an open, interoperable, and enterprise-governed foundation for Frontier agents (and any future agent platform) to operate using the context that your enterprise owns and controls. Think of Atlan as the data infrastructure required to deliver the promise of Frontier Alliance.
7. Is Frontier Alliances available now?
Permalink to “7. Is Frontier Alliances available now?”Frontier itself is available to a limited set of customers as of early 2026, with broader availability expected over the coming months. The Frontier Alliance partnerships with BCG, McKinsey, Accenture, and Capgemini are active as of the February 23, 2026 announcement, with each firm building out certified practice groups. Enterprises interested in a Frontier Alliance engagement should contact their existing consulting relationships directly or reach out to OpenAI’s enterprise team.
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