IT managers and those aspiring to enter the AI domain should know about agentic AI tools for technical program managers (TPM). Agentic AI tools are the AI tech that do complex tasks with multiple steps with almost no manual intervention. Some examples of Agentic AI are CrewAI, Adept AI, and AutoGPT.
AI agentic tools carry out complete and repetitive tasks from planning, decision-making, to running actions, and integrating with other systems. AI agents are the subcomponents of agentic AI. Several AI agents are included in an agentic AI; they automate tasks, increase productivity and accuracy, and save costs.
The Technical Program Manager (TPM) manages the technical IT projects. The role combines technical and marketing expertise and is responsible for the technical and commercial success. A TPM needs strong technical expertise in software tools and methodologies.
With Agentic AI becoming popular, a TPM needs to be fully aware of Agentic AI tools, their application, suitability, and trends. TPMs, seeking a career transformation, can apply their learnings and experience to enter the Agentic AI domain.
This blog reviews agentic AI tools that TPMs will find helpful in seeking to upgrade their skills and transform their career.
Key Takeaways
- Agentic AI tools are transforming many industries
- Agentic AI tools are autonomous; they complete the full cycle of tasks from planning, decision-making, and execution without human intervention.
- They have several features such as focus, learning and memorizing, adaptability, storage, collaboration, and context awareness.
- Some examples of Agentic AI tools are personal assistants, software development, IT service management, and multi-agent management, for specialized applications.
- Agentic AI tools transform the career of TPMs by automating tracking, intelligent scheduling, resource allocation, proactive risk management, data-driven decision making, and many more.
- TPMs can transform their career by learning the different agentic AI tools to build and manage the tools.
What are Agentic AI Tools
Agentic AI tools are autonomous applications that plan, execute, and adapt complex tasks without continuous staff monitoring. The algorithms allow the tools to acquire capabilities like reasoning, memory, and tool integration.
Agentic AI tools are proactive agents that complete the task by making decisions, orchestrating actions with other agents, and system applications. As a result, they can run tasks with multiple steps in processes. They are applied in cybersecurity, customer support, data analysis, and other domains.
Top Agentic AI Tools for Technical Program Managers
Several agentic AI tools for technical program managers are available. TPMs can directly access such tools or build custom ones with their teams. Let’s look at some of the key agentic AI tools for Technical Program Managers.
| Tool Type | Description and examples |
|---|---|
| Autonomous Driving | These are used in automobiles, drones, and space exploration vehicles. Examples are Tesla’s Autopilot and Full Self-Driving systems that use agentic AI to examine the environment, control speed, and navigate, having complex workflows |
| Personal Assistants | These are used to simplify personal tasks. Examples are Apple’s Siri, Amazon’s Alexa, and Google Assistant, which manage smart homes, set reminders, play music, and help with shopping and trip planning. |
| Software Development | These provide the draft and the full code for software program development. They help to enhance software development across the full SDLC. Examples are GitHub Copilot, Amazon Q Developer |
| Enterprise and business assistants | The employees find information, gain insights, and take action by automating various tasks, password resets, and access requests, integrating with internal systems. Examples are Amazon Q Business, Moveworks |
| IT service management | Agentic AI tools for TPM, like ServiceNow, automate workflows in IT service management, HR, and other areas. |
| Multi-Agent collaboration platforms | They help in the development of systems where multiple AI agents collaborate to solve complex problems. They also provide frameworks for creating multi-agent systems with role-based task delegation. Examples are Microsoft AutoGen, CrewAI |
| Specialized AI Agents | These automate complex modernization tasks for .NET, mainframe, and VMware workloads. They also deploy and manage agents at scale with intelligent memory and purpose-built infrastructure. Examples are AWS Transform, AWS Transform |
| Agentic AI in specific industries | These are created for specific industries and perform specialized tasks. TPMs will find these very useful, with immense business potential and thousands of customers. Examples are:
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Key Features of Agentic AI Tools for Technical Program Managers
Agentic AI tools are defined by autonomy, action orientation, and decision-making. Key features are the ability to adapt, learn, and memorize from tasks, reasoning with multi-step processes, and linking with other tools and external data sources.
The following table shows the key features and their description. The explanation will help TPMs to upgrade their knowledge of agentic AI tools and help them to lead AI projects.
| Key Feature | Description |
|---|---|
| Automation | Agentic AI tools run and execute tasks without constant human oversight |
| Focus | These tools are coded for specific objectives to plan the steps needed to achieve them |
| Adaptability | The AI tools learn from the interactions, feedback, and outcomes to refine the performance and revise the algorithms |
| Iteration and revision | Agentic AI tools can run iterations until the output is refined, and then self-correct for the next tasks |
| Tool/API integration | Agentic AI tools link to and use external programs, databases, and APIs to retrieve information and perform actions |
| Storage | They can learn and store the lessons from previous tasks to improve future decisions and maintain context |
| Collaboration | They link with other applications and work together, completing different parts of a larger process |
| Context awareness | Agentic AI tools study and interpret the environment, user behavior, and historical data to make more informed decisions and change actions |
| Generative capability | Similar to generative AI, they can create original content, such as writing proposals, marketing copy, reports, market analysis, and other strategy tasks |
| Scalability | Agentic AI tools expand their computational resources to manage increasing data and complexity. They are capable of distributed, scalable computing and natural language processing |
How Agentic AI Tools for Technical Program Managers Help Transform Their Careers
Agentic AI tools perform several specialized tasks. TPMs should be aware of the tool’s capabilities and the work they do. TPMs can review their project requirements and either develop the appropriate tools or procure them from Agentic AI tool vendors.
The following table presents the capabilities of agentic AI tools for technical program managers.
| Tool Capability | Tool capability description |
|---|---|
| Automated tracking and reporting | The agentic AI tools for TPMs autonomously monitor project progress, track team inputs, and generate status reports and dashboards, eliminating hours of manual work for the technical program manager |
| Intelligent scheduling | Agentic AI tools help TPMs by managing complex scheduling for several teams and stakeholders. They arrange for optimal meeting times and handle rescheduling automatically |
| Resource allocation | Agentic AI tools study live project data to allocate resources, flag overbooked team members, and optimize resource assignments. This capability can free TPMs from vexing work. |
| Proactive risk management | Agentic AI tools for technical program managers help by monitoring project activity, external factors, and potential issues. They send early warnings and suggest mitigation strategies before problems escalate. |
| Data-driven decision-making | Agentic AI tools process large amounts of data from multiple sources to generate insights that allow faster, more informed decisions. TPMs’ responsibilities transform from simple oversight to being analytics-focused leaders. |
| Predictive forecasting | Agentic AI tools forecast project timelines and outcomes based on current progress and historical data. TPMs can set realistic expectations and adjust plans |
| Managing the human-AI workforce | AI agents will grow as extensions of the workforce. TPMs can become orchestrators who manage both human and AI resources to achieve project goals |
| Leadership and collaboration | When Agentic AI tools automate manual workflows, TPMs spend less time on administrative tasks. They can focus on interpersonal skills, fostering team collaboration, and providing strategic leadership. |
Learn from Experts
The role of Technical Program Managers is rapidly evolving — and Agentic AI is at the heart of this transformation.
Interview Kickstart’s Agentic AI for Technical Program Manager course helps you stay ahead of the curve. Over 14 weeks of structured, expert-led learning, you’ll gain the knowledge and hands-on experience to manage AI-powered programs with confidence.
With 60+ hours of live training led by Senior FAANG TPMs, AI Leads, and Software Engineers, you’ll learn how to design, manage, and scale intelligent systems in real business contexts. You’ll also complete 3 guided projects and 2 capstone projects, each crafted to help you apply Agentic AI to real-world TPM challenges.
Conclusion
Agentic AI tools for technical program managers are redefining how projects are managed and executed. By automating complex workflows, enabling intelligent decision-making, and supporting multi-agent collaboration, these tools allow TPMs to focus on strategic and high-impact responsibilities.
From personal assistants and IT service management platforms to multi-agent collaboration systems and specialized AI applications, agentic AI tools for Technical Program Managers are transforming industries and enhancing efficiency. TPMs who understand and leverage these tools can not only optimize project outcomes but also position themselves as leaders in the evolving AI-driven workplace.
Embracing these tools is essential for TPMs looking to future-proof their careers and stay ahead in a rapidly changing technological landscape.
