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Contact usBMC AMI brings together product expertise, institutional knowledge, and relevant mainframe context to help teams understand code, investigate issues, and make informed decisions.
Explain complex and unfamiliar mainframe code in clear natural language to shorten learning curves and accelerate confident development.
Convert COBOL business logic into Java using generative AI, helping teams advance application transformation.
Use Hybrid AI, combining rules-based logic, machine learning, and generative AI, to explain probable causes in natural language and help teams investigate and resolve mainframe issues.
Get contextual answers to mainframe development, operations, and security questions using conversational AI grounded in BMC product expertise and institutional knowledge.
Automatically generate clear, consistent documentation to preserve knowledge and accelerate maintenance and modernization efforts.
Choose from a curated LLM library or use a supported bring-your-own LLM option to align AI capabilities with specific mainframe use cases.
Get guided next-step recommendations based on AI-powered analysis to help teams investigate system issues and determine appropriate resolution actions.
Bring together BMC product expertise and institutional knowledge to support relevant, contextual guidance across BMC AMI Assistant and supported AI agents.
40%
of Leaders plan to invest in creating AI agents to manage the mainframe
58%
of Leaders prioritizing AI technologies identify implementing GenAI solutions as the most important AIOps capability
40%
of respondents use AI for documentation and knowledge transfer
68%
of respondents using AIOps on the mainframe report time to value within one year
BMC AMI Assistant brings together BMC product expertise and your organization's knowledge to help teams find answers, understand issues, and make informed decisions.
Keep expertise in-house. BMC AMI Assistant helps capture and preserve decades of institutional knowledge, keeping valuable expertise available as experienced professionals retire.
Get answers in context. AI-powered responses draw on relevant knowledge and user context to provide guidance tailored to the task at hand.
Beyond generic AI. BMC AMI Assistant draws on specialized BMC product expertise and institutional knowledge to provide guidance for mainframe-specific challenges.
Less searching, more solving. Help teams find and apply the knowledge they need to resolve issues faster, with less reliance on individual experts.
Get context-aware explanations for selected code, system behavior, and code coverage in natural language to help teams understand findings and determine next steps. Mainframe AI copy update.
Explain unfamiliar code and system behavior in plain language.
Auto-generate code documentation to accelerate modernization.
Use AI-driven root cause explanation (RCE) to understand probable causes and help reduce mean time to resolution.
Get guided next-step recommendations to investigate mainframe system issues and determine appropriate resolution actions.
Choose an AI model that fits your organization and the task at hand.
Curated LLM library vetted for mainframe tasks.
Use a supported bring-your-own LLM option within your BMC AMI configuration.
Align AI capabilities with specific mainframe use cases.
Gartner® Report
Award Spotlight
BMC AMI Assistant has been awarded the 2026 AI Breakthrough Award for innovation in Conversational AI, recognizing its ability to simplify mainframe work with natural-language guidance, contextual support, and generative AI.
You've never mainframed like this before
Bring mainframe expertise into everyday work and collaboration. BMC AMI Assistant brings supported knowledge and AI assistance into BMC AMI product experiences and Microsoft Teams, helping teams find answers, share insights, and make informed decisions. Make specialized expertise accessible to more colleagues, with less tool switching and fewer specialist handoffs.
Need to modify unfamiliar code? BMC AMI Assistant explains it in natural language, helping your team understand, document, and modernize faster. It supports COBOL, PL/I, JCL, and Assembler. Whether you’re onboarding new talent or tackling decades-old code, BMC AMI Assistant gives developers the clarity and confidence to move forward.
When system issues appear, BMC AMI Assistant in BMC AMI Ops Insight uses Hybrid AI, combining rules-based logic, machine learning, and generative AI, to explain probable causes and recommend next steps. BMC AMI Agentics for Ops extends this support with specialized capabilities for CPU investigation, REXX automation explanations, and guided incident investigation. Teams can review findings and determine appropriate actions while retaining control.
Accelerate onboarding, reduce knowledge gaps, and expand your team’s capacity. BMC AMI Assistant makes BMC product expertise and institutional knowledge more accessible, while BMC AMI Agentics adds specialized agents for defined investigative and analytical tasks. Help experienced professionals spend less time on repeated explanations and manual investigation and more time on higher-value work, while retaining judgment and accountability.
Support informed transformation of the mainframe applications behind core banking and transaction services. BMC AMI helps development and operations teams understand application code, access institutional knowledge, and investigate issues affecting critical systems. Apply that expertise to modernization decisions and supported next steps within your organization’s established controls, helping teams evolve applications while supporting operational stability.
Help reduce claim processing delays and system downtime. BMC AMI combines code explanations, access to institutional knowledge, and guided investigation to help teams understand issues and determine next steps. These capabilities support efforts to limit the impact on policyholders while helping development and operations teams make informed decisions about maintaining and modernizing core applications.
Bridge the mainframe skills gap and reduce reliance on retiring experts. BMC AMI helps teams access institutional knowledge, understand application code, and investigate operational issues. Contextual guidance and specialized agents support defined tasks, helping new and experienced staff make informed decisions about mission-critical workloads while preserving permissions, approvals, and human accountability.
Mainframe-native AI
Build on AI-powered explanations and guidance with specialized agents for mainframe work. BMC AMI Assistant helps teams access and apply expertise, while BMC AMI Agentics extends this intelligence into defined investigations and analysis across operations and data management. Explore mainframe-native AI capabilities that expand your team’s capacity while keeping people in control.
Help developers understand unfamiliar mainframe code with natural language explanations. Accelerate investigation, clarify application logic, and support maintenance and modernization with AI-powered assistance.
Learn moreBMC AMI Ops Insight combines built-in intelligence and AI-powered analysis to uncover trends, explain probable causes, and guide resolution. Help teams optimize mainframe performance, meet service-level goals, and bridge expertise gaps.
Learn moreUse specialized AI agents to investigate CPU utilization, explain REXX automation, and guide incident investigation. Help operators review findings and determine appropriate next steps within defined controls.
Learn moreInvestigate IMS exceptions and deadlocks, get Db2 reorganization explanations, and analyze SQL workloads with specialized AI agents. Help database teams review findings and determine next steps while remaining in control.
Learn moreSwapnil Jathar
Senior Product Developer, Enterprise Software Company
Resources
Article/Blog
Get an overview of how GenAI is transforming mainframe DevOps, compared to traditional AI, and how it enhances the developer experience.
E-book
As organizations strive to maintain continuous and resilient operations, mainframe systems play a crucial role in managing large-scale, mission-critical workloads.