Generative AI for operations leaders: How Domo and Amazon Bedrock optimize efficiency

How agentic AI can transform your operations

One of the most exciting advancements brought by generative AI is the move from tools that only describe data to tools that actively do something with it. Domo’s agentic AI, powered by Amazon Bedrock, transforms your operational workflows by tackling some of the most time-consuming and complex tasks you manage today.

Amazon Bedrock is a comprehensive, secure, and flexible service for building generative AI applications and agents. It provides access to leading foundation models, agent deployment services, and tools for model optimization and data integration, connecting applications with current business data.

You no longer need to settle for charts or tables that must be painstakingly interpreted. AI provides context and narratives that help you understand why a metric matters and what you should do about it. This elevates reporting from informational to actionable, saving hours of manual work and enabling faster decision-making. This AI-driven approach to operational intelligence enhances understanding and unlocks new efficiencies across various aspects of business operations. The key areas where this impact is particularly significant are:

• Resource allocation simplified
  Imagine having an intern capable of optimizing how resources are allocated. Whether adjusting staffing needs based on sales forecasts or determining where excess inventory can be most effectively utilized, Domo’s AI agents analyze trends, predict outcomes, and recommend actions that save time and reduce waste.
• Automating repetitive tasks
  COOs often oversee workflows riddled with repetitive tasks, such as processing thousands of support tickets, reviewing supply chain bottlenecks, or aggregating vendor data. With agentic AI, these tasks become automated. For example, AI can surface the most pressing issues in your supply chain and pre-sort solutions for your team to act on.
• Operational performance optimization
  Operations run on metrics—but making sense of them at scale can be overwhelming. AI doesn’t only visualize data; it intelligently communicates what the data means and what actions you need to take. For example, AI can identify regions with declining performance, highlight root causes (for example, staffing shortages and seasonal trends) and recommend options to improve outcomes.
• Scenario planning for better decisions
  What if you could simulate operational scenarios before making changes? Domo’s AI agents enable this as part of planning. For example, you can forecast how shifting procurement strategies will affect profit margins or how increasing production will impact delivery times and warehouse needs.

The ultimate outcome of AI is transforming the COO role from reactive problem-solving to proactive value creation. That transformation happens by turning data into narratives and automating workflows, so you can make more impactful decisions faster.

To illustrate these benefits let’s consider the following real business scenarios:

• An AI agent uncovers bottlenecks in assembly processes, pinpointing recurring delays caused by machine downtime. By recommending predictive maintenance and labor reallocation, it helps reduce cycle times by 20% and boosts overall productivity.
• AI analyzes inventory trends and forecasts seasonal demand with accuracy. It helps optimize stock levels; minimizing shortages and overages while improving cash flow and helping to ensure that products are available when customers need them.
• AI enhances fraud detection by identifying suspicious patterns during transaction processing in real time. This speeds up detection, improves compliance, and strengthens security measures to protect both businesses and customers.

Teams can use AI agents to operate with greater efficiency, precision, and speed, turning complex challenges into streamlined, outcome-driven solutions. Whether it’s on the production floor or at the back end of financial operations, AI is shaping the future of operational excellence.

Why AWS and Amazon Bedrock

The decision to design and build Domo’s AI capabilities on AWS and Amazon Bedrock was strategic, supported by four key factors:

Seamless infrastructure for operational reliability

For COOs, reliability is everything. AWS aligns perfectly with Domo’s existing infrastructure, enabling smooth scaling without disruptions to performance. This helped ensure that Domo AI could handle everything from lightweight reporting workflows to complex automation tasks without skipping a beat.

Uncompromising security

Operational leaders must carefully manage confidential data, including employee personal information, customer financial records, and business intelligence. Human resources schedules, supplier contracts, and financial forecasts require secure interactions.
AWS security guardrails integration: Because Domo operates as a cloud-based software as a service (SaaS) platform running on AWS infrastructure, the integration with Amazon Bedrock creates a secure, private cloud environment where customer data never leaves the AWS ecosystem. This architecture addresses critical data residency requirements while maintaining the highest security standards.

Key security benefits:

• Data isolation: With Amazon Bedrock, Domo helps ensure that data remains within the AWS hosting environment, helping prevent model providers from accessing or training on customer data
• No data logging: AWS does not log or store customer prompts and completions, helping to ensure privacy of business interactions
• Encryption: With encryption in transit and at rest, along with restricted access to model deployment accounts, Amazon Bedrock provides robust data protection
• Access controls: Comprehensive identity and access management through AWS Identity and Access Management (IAM) helps ensure that only authorized personnel can access sensitive systems

Responsible AI and compliance framework: Domo’s integration with Amazon Bedrock provides enterprise-grade security and compliance that operations leaders require. Customer data never leaves the AWS ecosystem, with strict data isolation helping to ensure that model providers cannot access or train on proprietary information. Domo maintains compliance with critical standards including GDPR, HIPAA, SOC 2 Type II, and ISO 27001, while their Responsible AI program aligns with OWASP guidelines for large language models (LLMs). This comprehensive security framework, combined with the AWS Shared Responsibility Model, enables organizations to confidently use AI-powered insights while meeting their regulatory obligations and maintaining data sovereignty.

Outstanding AI models for business applications

Amazon Bedrock provides access to the most robust language models, including Anthropic Claude, which power Domo’s agentic AI. This helps ensure that every data-driven recommendation or action taken by the AI is crafted with the precision and relevance that operations demand.

Scalability for growing businesses

With AWS, Domo’s solution delivers consistent high performance and reliability, scaling effortlessly to meet the demands of organizations from small startups to global enterprises.

Domo – AWS Partner Spotlight

Domo is an AWS Machine Learning Competency Partner and modern, cloud-based business management platform that puts real-time data directly in the hands of everyone in the organization.

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