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WHY BMC
The Enterprises That Can't Afford to Get It Wrong Run on BMC
Most companies don't struggle to choose new technology. They struggle to run it inside the systems the business already depends on, without breaking what already works. For more than 45 years, that's the problem BMC has solved for the world's largest organizations. It's the problem AI has made unavoidable. Before AI. Before Automation. Before Scale. BMC First.
~80%
of the Forbes Global 100 trust BMC solutions
45+
years running mission-critical enterprise operations
$2.3B+
in annual revenue
650+
partners serving mid-sized to Fortune 500 organizations
The automation behind the world's largest enterprises
BMC builds the software that runs the systems the world's largest enterprises depend on. We orchestrate workflows across cloud, mainframe, and hybrid environments, and we keep the most critical operations running continuously and under control.
When a global bank settles transactions overnight, when a retailer moves inventory across thousands of stores, when a manufacturer keeps a supply chain in motion, BMC is often the layer underneath, doing that work reliably. Customers rarely see it. They feel it the moment it stops working.
That role—the operating foundation beneath the business—is exactly what AI is about to test.
Most enterprises don't struggle to choose AI. They struggle to run it
For two years, enterprise AI was defined by selection—which model, which vendor, which capability. That phase is largely over. What's emerging is harder: AI rarely breaks on its own. It breaks when it meets the complexity of the business—the systems, workflows, and decisions where the real work happens.
Five operating decisions separate the enterprises that scale AI from the ones that stall.
1
Activity scales faster than outcomes.
Pilots multiply while the core systems—finance, supply chain, customer operations—stay untouched. Plenty of motion, no change to how the business actually runs.
2
Coordination breaks before capability does.
AI is easy to run inside one team and hard to run across many. What breaks first is orchestration—moving work cleanly across teams, systems, and data.
3
Control disappears at the point of execution.
Governance written as policy collapses the moment AI triggers actions inside live systems, with no clean way to intervene, audit, or redirect.
4
Trust erodes without visibility.
Leaders don't struggle to believe in AI. They struggle to explain it. Without a clear view of what it did and why, every decision to expand it is a guess.
5
The economics change in production.
AI looks efficient in a pilot. Integration, monitoring, exception handling, and governance add a layer of overhead pilots never reveal. The model itself turns out to be the cheapest part.
The next phase of AI won't be defined by who adopted it first. It will be defined by who learned how to run it.
HOW WE DELIVER
Where AI has to run
All five decisions come down to execution. That's the layer BMC has always worked in, and it maps to three capabilities no enterprise can scale AI without.
Orchestrate everything
The systems that run your business don't stop for AI. Control-M orchestrates workflows across every environment—cloud, mainframe, and hybrid—so AI and automation run inside the business, not alongside it. This is the coordination layer most enterprises are missing.
Explore Control-M
Modernize the systems of record
The mainframe isn't legacy. For most large enterprises it's where the most critical work still happens. BMC AMI modernizes, secures, and connects that environment, so the systems of record can keep pace with what AI now asks of them.
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Govern it where it runs
A policy document can't step in at runtime. BMC builds the guardrails, approvals, traceability, and visibility into execution itself, so teams can see what AI and automation are doing, prove it, and step in when they need to.
Explore orchestration and governance
Trusted
The companies that can't go dark
The organizations that run on BMC process millions of transactions a day, run operations across dozens of countries, and can't afford for the systems beneath them to fail. They chose BMC before their biggest moves.
RECOGNIZED
Named a Leader
BMC is named a Leader in the 2025 Gartner® Magic Quadrant™ for Service Orchestration and Automation Platforms, recognized for completeness of vision and ability to execute.
Supporting recognition:
- BMC AMI Ops and BMC AMI DevX—2026 TrustRadius Buyer's Choice Award winners
- BMC AMI Assistant—AI Breakthrough Award winner for purpose-built mainframe AI
OUR STORY
The constant beneath every shift
BMC has been here for the mainframe era, the distributed era, the cloud era—and now AI. Founded in 1980, we've spent more than four decades as the operational layer beneath enterprise technology's biggest transitions. That's not a history lesson. It's the reason the world's largest organizations trust BMC with the systems they can't afford to break. Every major technology shift promises transformation. Someone still must keep the business running while it happens. That has been BMC's role through every one of them.
$10B+
invested in innovation since inception
6,500+
employees in more than 40 countries
20+
new and enhanced products introduced since 2020
WHAT'S NEXT
The center of gravity for automation is shifting—from IT to the entire business
Agents will soon act inside the systems that run the enterprise. That raises the stakes on everything BMC already does: orchestration gets harder, governance stops being optional, and AI-ready data decides whether an agent helps or does damage. This is the work BMC is built for: keeping AI running once it goes live, continuously and under control, with a clear view of everything it touches.
Leadership
The people setting BMC's direction in automation and AI.
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Partners
More than 650 partners who put BMC to work inside the world's largest enterprises.
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BMC Cares
Volunteer work, giving, and community partnerships for the causes our people care about.
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Careers
Join a team building the operating foundation enterprises depend on.
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Before your next move, BMC First
The enterprises getting AI right made the hard operating decisions before the technology went live. And they built on a foundation that can handle what comes next.