OpenAI’s Frontier Alliances are multi‑year partnerships with leading consultancies that help enterprises move AI from pilots to secure, scaled production. Partners work alongside OpenAI’s engineering teams to define strategy, redesign workflows, integrate systems and governance, and deploy AI agents reliably—so organisations can realise measurable value rather than isolated demos.

Most enterprises don’t struggle to start with AI. They struggle to scale it.

Pilots prove potential, but production requires a different discipline: secure environments, clear governance, reliable integrations, and an operating model that supports change at scale. That’s the gap OpenAI is targeting with Frontier Alliances—a new partner programme built to help organisations move beyond experimentation and into repeatable, enterprise-wide deployment.

What are Frontier Alliances?

Frontier Alliances are OpenAI’s multi‑year partnerships with leading consulting and transformation firms designed to help enterprises deploy AI across their organisations—especially as AI moves into agentic workflows.

OpenAI’s founding Frontier Alliance partners are:

• Boston Consulting Group (BCG)

• McKinsey & Company

• Accenture

• Capgemini

Together, these partners help customers define AI strategy, integrate systems, redesign workflows, and scale deployment globally.

Why enterprises get stuck at “pilot”

The hardest part of enterprise AI is rarely model performance. It’s everything around it:

• Fragmented systems and data (agents lack context)

• Unclear permissions and boundaries (teams can’t deploy safely)

• Inconsistent evaluation (quality drifts as use expands)

• Change fatigue (people don’t adopt new ways of working)

Frontier Alliances focus on closing that “opportunity gap” by combining OpenAI’s platform and engineering support with proven delivery capability.

How Frontier Alliances work

OpenAI’s model is deliberately practical:

Partners work alongside OpenAI’s Forward Deployed Engineering (FDE) team

Alliance partners collaborate with OpenAI engineers—bridging product capabilities with the messy reality of enterprise transformation.

Dedicated practice groups + OpenAI certifications

Each partner invests in dedicated OpenAI practice groups and builds teams certified on OpenAI technology.

Support that reduces time-to-production

OpenAI supports partners with technical resources, roadmap insight, and access to product and research teams—helping deployments move faster and more safely.

What you can expect from an Alliance-led deployment

The programme is designed to support end-to-end delivery:

1) Strategy that turns into an operating model

Not just a slide deck—an actionable plan for governance, ownership, use-case intake, and measurement.

2) Workflow redesign (where value actually appears)

AI doesn’t deliver ROI on top of existing processes. It changes how work is done—especially when agents interact with multiple systems.

3) Secure integration with real enterprise systems

Accenture and Capgemini, in particular, are positioned as “full-service transformation partners” that help wire Frontier into the systems and data enterprises actually run on—securely and reliably.

4) Scale with governance from day one

As agentic AI expands, identity, permissions, boundaries, and evaluation become non-negotiable.

Practical steps: moving from pilot to production in your organisation

If you want the same outcome—whether or not you’re using Frontier Alliances—this is the playbook.

Step 1: Pick a small number of high-value workflows

Choose 3–5 workflows with clear metrics (time saved, throughput, error rates, revenue lift), rather than running dozens of pilots.

Step 2: Build an “AI enablement layer”

Create reusable foundations:

• identity and access,

• data handling rules,

• evaluation and monitoring,

• governance workflows teams can follow.

Step 3: Design for secure, scalable agents

Treat agents like a workforce: onboarding, tools, permissions, supervision, and performance management.

Step 4: Operationalise adoption with collaboration tools

This is where your collaboration stack can accelerate rollout:

• Use Miro to standardise governance maps, risk tiers, and workflow redesign.

• Use Asana to manage delivery: ownership, dependencies, rollout waves, and measurement.

• Use Notion to publish playbooks, approved patterns, and training materials.

• Use Glean to make institutional knowledge discoverable, so agent outputs can be grounded in trusted sources.

Summary

Frontier Alliances are OpenAI’s answer to the most common enterprise reality: AI pilots are easy, but secure, scaled production is hard.

By pairing OpenAI’s Frontier platform and engineering expertise with proven change and delivery capability, the programme aims to help organisations deploy AI agents across core workflows—responsibly and at scale.

Next steps

• Identify the 3–5 workflows where AI can create measurable impact.

• Establish an enablement layer (governance, evaluation, access).

• Decide whether you need a transformation partner to accelerate change and integration.

• Build repeatable deployment patterns—then scale.

FAQ

Q1: What are Frontier Alliances?
Frontier Alliances are OpenAI’s multi‑year partnerships with leading consultancies to help enterprises move from AI pilots to secure, scaled production deployments—especially for agentic AI.

Q2: Who are the Frontier Alliance partners?
OpenAI’s founding partners include BCG, McKinsey & Company, Accenture, and Capgemini.

Q3: How do Frontier Alliances help enterprises?
They combine OpenAI’s platform and engineering support with transformation expertise—covering strategy, operating model, workflow redesign, systems integration, governance and change management.

Q4: Are Frontier Alliances only for large organisations?
They’re designed for enterprise-scale deployments. Smaller organisations can still follow the same principles: focus on high-value workflows, build governance early, and standardise adoption patterns.

Q5: What’s the difference between a pilot and production deployment?
Production requires secure environments, clear permissions, monitoring, evaluation, integrations, and an operating model that sustains adoption—not just a working demo.