Agentic Engineering Workshop
Join Cleveroad’s Agentic Engineering Workshop to master AI-assisted development, from prompting large language models to using coding copilots and advanced agentic systems. Get a clear automation strategy and expert, practical guidance.
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Why You Need an Agentic AI Engineering Workshop
Get a clear AI development roadmap
Build secure and compliant workflows
Use AI where it matters most
Accelerate adoption and delivery
Agentic Engineering Workshop Agenda
Introduction to AI engineering
- We begin by exploring how AI-assisted and agentic systems transform software development. You’ll see how large language models, coding copilots, and intelligent agents work together to support engineers in writing, reviewing, and testing code.
This session helps your team understand how they can shift from manual programming to collaborative development with Artificial Intelligence systems that understand coding task context and intent.
Workflow discovery
- Together, we analyze your development processes to uncover repetitive or context-heavy tasks such as testing, refactoring, or dependency management.
This step reveals where AI copilots and single or multi-agent systems can take ownership of execution while engineers focus on design and decision-making. We show how persistent context and reasoning loops create adaptive, self-improving workflows, helping teams reduce manual effort.
Architecture planning
- Next, we design an architecture that connects copilots, LLMs, and agentic tools with your IDEs, repositories, and CI/CD pipelines. Using frameworks like LangChain, Autogen, or OpenDevin, we ensure seamless orchestration between AI components and your development infrastructure.
The core task on this stage is to define how agents communicate, share memory, and evolve alongside your codebase.
Hands-on coding session
- Your team applies AI-assisted tools and coding agents to real development tasks, generating and refining code under human supervision. You’ll experience how prompt engineering, reasoning loops, and multi-agent collaboration help deliver accurate, production-ready results.
This session shows how AI tools become practical teammates, enhancing speed and quality. In addition, participants experiment with integrating agents into existing workflows.
Governance and oversight
- We establish guardrails, review checkpoints, and reproducibility practices that balance automation with accountability. The session covers prompt governance, cost control, and data security, as well as human validation for every AI and agentic action.
You’ll learn how to maintain full oversight of AI dev tools. We also discuss how to document agent behavior, handle versioning of AI components, and implement clear escalation paths.
Action plan and next steps
- Finally, we consolidate all findings into an actionable roadmap for scaling AI-assisted and agentic development. The roadmap helps you accelerate delivery and confidently integrate AI across your engineering lifecycle.
Your team leaves with defined milestones, success metrics, and a step-by-step plan for expanding from simple copilots to collaborative, multi-agent workflows. Thus, you are ready to implement AI in your development processes.
Agentic Engineering Workshop Deliverables
Why Choose Cleveroad’s Agentic Engineering Workshop
Cross-industry AI experience
Our team has built AI and automation solutions for industries such as healthcare, logistics, fintech, and SaaS, helping clients modernize and scale their software delivery. This experience allows us to design AI-assisted workflows that respect each domain’s specifics.
Expertise in AI-assisted and agentic systems development
We develop solutions using copilots, LLMs, and agentic systems that can understand codebases, support task planning, and automate complex operations under human control. Our engineers design efficient reasoning loops, validation checkpoints, and observability layers.
Fast deployment with leading frameworks
Using frameworks such as GitHub Copilot, Claude Code, OpenAI Codex, Amazon CodeWhisperer, and others, we accelerate your adoption of AI processes. These tools let us integrate copilots, automate testing, and orchestrate multi-agent workflows within IDEs and CI/CD pipelines.
Secure and compliant architecture
We design AI-assisted development systems that meet enterprise security standards. Our architectures include traceability layers, access control, and audit trails aligned with ISO/IEC 27001 principles, ensuring every AI component operates safely within your engineering environment.
Certifications

ISO 27001
Information Security Management System

ISO 9001
Quality Management Systems

AWS
Select Tier Partner

AWS
Solution Architect, Associate

Scrum Alliance
Advanced Certified, Scrum Product Owner

AWS
SysOps Administrator, Associate
Our Clients Say About Us

CTPO of Penneo A/S
"Cleveroad proved to be a reliable partner in helping augment our internal team with skilled technical specialists in cloud infrastructure."
Industry Contribution Awards
70 Reviews on Clutch
4.9

Award
Clutch 1000 Service Providers, 2024 Global

Award
Clutch Spring Award, 2025 Global

Ranking
Top AI Company,
2025 Award

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Top Software Developers, 2025 Award

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Top Web Developers, 2025 Award

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Top Staff Augmentation Company US, 2025 Award
Explore Our AI Engineering Services
Unlock the full potential of AI with our end-to-end services. We help your team plan, build, and scale systems tailored to your goals
- Defined AI use cases, toolsets, and validation checkpoints
- Architecture and workflow blueprints for safe, scalable integration
- Tool and API catalogs with access and configuration guidelines
- Governance, observability, and reproducibility frameworks
- A rollout roadmap for testing, refining, and scaling AI solutions across your SDLC
