Agentic AI consulting from Dedicatted equips you with multi-agent systems that think independently, orchestrate complex workflows, and continuously learn from real-time data—no constant prompting required.
Backed by our expertise in secure cloud architecture and high-quality data integration, we deliver scalable, reliable Agentic AI platforms that boost productivity and ROI from day one.
Agentic AI is transforming manufacturing by enabling autonomous systems to optimize production lines, monitor equipment performance, and adjust operational parameters in real time.Additionally, agentic AI monitors machine health to predict maintenance needs and schedule preventive actions, ensuring minimal downtime
Agentic AI is revolutionizing healthcare by autonomously monitoring medical device data and patient health records to detect anomalies and improve early intervention.In laboratory environments, AI agents automate processes, coordinate test scheduling, and monitor equipment performance, driving efficiency, precision, and reliability across the healthcare ecosystem.
Agentic AI is reshaping the retail landscape by optimizing inventory through real-time monitoring of stock levels, analyzing sales patterns, and automatically adjusting order quantities to meet demand.In supply chain management, agentic AI oversees supplier relationships, tracks shipments, and predicts delays to ensure smooth logistics.
Agentic AI is driving transformation in the finance sector by enhancing risk management through continuous monitoring of transaction patterns and detecting anomalies to prevent fraud and ensure compliance.Additionally, agentic AI optimizes treasury operations by improving cash flow visibility, coordinating payments, and streamlining cash management across financial institutions.
Agentic AI is driving efficiency and safety in the oil and gas industry by continuously tracking equipment performance and predicting maintenance needs to minimize downtime and extend asset life.Additionally, agentic AI tracks environmental indicators, identifies anomalies, and coordinates rapid response actions to ensure compliance and reduce environmental impact.
Dedicatted helps companies design, create, and run useful automated operations that fit into existing DevOps toolchains. Our goal is simple: deliver stable automation that makes releases faster and improves service quality without overburdening operations. This page will give you an overview of how we deal with DevOps agentic AI for real environments, rather than showing off lab demos.
Picking the right resource is extremely important when starting out. When checking out agentic AI platforms for our clients, we see how well they work with source control, CI or CD, observability, and ticketing. We also look for policy controls and other security measures to meet the highest AI security standards. We want to help out clients pick the best resource by giving them a clear breakdown of what the leading agentic AI platforms market has to offer, allowing them to find something that balances the cost and the speed of value. We top things off by making a migration or rollout plan, including guardrails and a clear way to make sure that our customers get the most out of it.
Agentic AI tools are basically software robots that can do more than just produce text, they can actually think. These robots can read text, plan what to do, use tools and perform a variety of tasks. Unlike the usual chatbots that only draft text, agents act. At our company, we control AI agentic workflows and longer agentic workflows in AI that involve code, infrastructure, and service management, with a goal of reducing the amount of work that needs to be done manually. The most important part? Humans will still be there to supervise everything.
If we want to keep our agents useful and safe, we have to build a good structure for them. That’s why we assemble planning and reasoning modules, memory for remembering the state, tools for CI, CD, and cloud, as well as strict policies for actions. This way we can turn ideas into solid agentic AI systems. Our model combines solution design with development, meaning that each sprint improves the safety, expands tool coverage, and proves value with run-book steps that can be easily measured.
Agents repeat the same loop over and over again. The loop starts with them getting a goal, followed by planning the steps, choosing the right tools, evaluating the results, and starting all over until they either succeed or get stopped. The repetition is what enables practical agentic AI use cases like automated incident triage, drift correction, cost checks before deploys, and post-merge validation. Aside from DevOps, we implement agentic AI in healthcare patterns, such as data quality checks, workflow routing, and compliance-friendly summarization, always with approvals and traceability.
AWS agentic AI refers to a host of cloud services designed to help teams run AI agents on AWS. The service connects agents to model endpoints, IAM policies and secrets, and then connect them to CI or CD. That way you get cost visibility, policy controls and reproducible environments. When your business requires enterprise integration or multi-agent coordination, the stack can be extended with adapters for ticketing, building and chat systems. The end result is agentic AI solutions ready for the real world, giving you fast turnaround times.
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