Employees today don’t want to dig through menus or wait for answers—they expect quick, personalized support from their tools. Engagedly’s new Agentic Framework is designed to meet this need by infusing intelligent AI “agents” throughout the platform.
This framework is the engine behind Engagedly’s smart features (like the Marissa™ AI assistant) and is transforming how employees and HR teams interact with the system. In this blog, we’ll break down what the Agentic Framework is, how it works, and why it makes user interactions smarter, faster, and more personalized.
At its core, Engagedly’s Agentic Framework is a network of AI-driven agents working together to assist users across different HR functions. Instead of a single monolithic AI, Engagedly uses multiple specialized agents (for goals, learning, performance, etc.) coordinated by a “Super Agent”. The Super Agent acts as the face of the AI – think of it as Engagedly’s virtual assistant (Marissa AI) that the user interacts with directly.
When you ask Engagedly’s assistant a question or give it a task, that Super Agent doesn’t do everything itself – it delegates the request behind the scenes to the right expert agent in the framework, then brings the answer back to you.
This design allows each agent to be an expert in its domain (for example, one agent knows all about the Goals module, another specializes in Learning, and so on) while the Super Agent orchestrates the conversation. The result is an AI assistant that can help with career planning, goal setting, learning, performance reviews, HR questions, and more – all through one chat interface, powered by a team of cooperating agents.
Engagedly’s Agentic Framework is what makes this possible, enabling the system to handle a wide variety of queries autonomously and intelligently.
Now, let’s dive into the key components of this framework and how they work together to answer your questions.
The Super Agent is the primary point of contact for the user. In Engagedly’s case, this is the role of Marissa AI, the AI-powered HR assistant. From the user’s perspective, Marissa is who they chat with – whether it’s through a chat window or voice interface.
You might ask, for example, “Hey, what’s the status of my current goals?” or “Enroll John Doe in the Leadership 101 course.”
The Super Agent receives these queries in natural language. Its job is to understand the request (using natural language processing) and then figure out which behind-the-scenes agent should handle it. Think of the Super Agent as a smart receptionist: it greets you, listens to what you need, and then routes you to the right specialist internally.
Importantly, the Super Agent stays with the conversation from start to finish. It might ask follow-up questions if something is unclear, and once the specialized agent returns with an answer or result, the Super Agent presents that answer back to you in an easy-to-understand way.
This means you, as the user, always interact with one friendly AI persona, unaware of the complex teamwork happening in the background. The experience is seamless – you ask Marissa AI anything related to Engagedly’s HR suite, and it responds with the information or action, no matter which module or data source it had to tap into.
This greatly simplifies user interaction: you don’t need to know which part of the software to navigate to; the Super Agent takes your request and does the heavy lifting by delegating it internally.
Now, who are these specialized agents we’ve been talking about? Engagedly’s platform covers a broad range of HR functions – and for each major area, there is an AI agent ready to help. Here are the key agents in Engagedly’s Agentic Framework and how they relate to core Engagedly modules:
This agent focuses on high-level talent management insights and actions. It assists admins in building and maintaining a complete talent framework—including job titles, skills, competencies, and career paths. By keeping these foundational elements up to date, the agent enables effective workforce planning and supports employee growth and career progression across the organization.
In the future, this agent will be able to support strategic queries from HR leaders—such as, “Identify top performers who are ready for leadership roles,” or “Do we have any skill gaps in our engineering department?” These capabilities will help organizations make more informed, data-driven talent decisions.
Aligned with Engagedly’s Learning Experience Platform, this agent is the expert on employee learning and development. Users can interact with it to find courses, get recommendations, or manage their learning activities.
For example, an employee could ask, “Find me a course on project management,” or “What compliance trainings do I still need to complete?” In the current phase, the agent focuses on individual user needs. In future phases, it will evolve to handle team- and organization-level queries—such as identifying pending trainings for a team or surfacing skill development opportunities across departments.
The Learning Agent would use Engagedly’s learning module data to answer. It can help enroll users in courses, suggest learning paths, or fetch progress reports. Essentially, it makes the vast learning resources easier to navigate by simply asking the assistant.
This agent corresponds to Engagedly’s OKRs & Goals module. It helps users discover the goals they need to work on and suggests new goals aligned with their organization, department, or business unit—leveraging Engagedly’s built-in “Goals Suggest” tool. Instead of navigating through the interface, users can simply ask questions like, “What goals should I prioritize this quarter?” or “Show me my active goals.”
In future iterations, the agent may also assist in creating and updating goals conversationally—making goal management more intuitive and aligned across the organization.
Centered around Growth & Development, this agent helps with career planning and personal development – an area Engagedly supports through its Growth Hub (Individual Development Plans, competencies, and mentorship).
An employee could ask, “What skills should I develop to advance to a Senior Engineer?” or “Show me my growth plan for this year.”
The Employee Growth Agent would access information like the employee’s development plan, available growth resources (Engagedly’s Resources library), and even role competencies. It might suggest learning activities, mentoring opportunities, or track progress on an Individual Development Plan.
In short, this agent is like a career coach embedded in the platform, guiding employees on growth opportunities and tracking their progress.
This agent is all about performance reviews and feedback cycles, tying into Engagedly’s Performance Review module (which includes 360 feedback, continuous feedback, etc.). It can help managers and employees during the review process.
For example, a manager could say, “Summarize Jane’s performance feedback for this quarter,” and the Review Assistant could compile key points from various feedback and analytics. It might also help write review comments or give tips, using AI to draft evaluations based on data (always with human oversight).
Another use: an employee can ask, “What feedback have I received from my peers?” and it can pull that from the 360-feedback module. By leveraging AI, this agent can even help eliminate bias by focusing on objective data. It essentially acts as a smart assistant during reviews, making the process less laborious and more insightful.
This is an evolution of the traditional HR helpdesk bot – and in fact, Engagedly’s Marissa AI began in this role. The HR Assistant Agent can answer common HR questions and assist with HR-related tasks.
Think of things like “How many vacation days do I have left?”, “What is the process to refer a candidate?”, or “Add a new employee record for our new hire.”
This agent draws on company HR policy documents (for answering policy questions) and on Engagedly’s core HRIS-like functions or integrations (for employee data management). It can execute actions such as creating or updating user profiles (for example, adding a new employee would use a tool corresponding to User Create in the system, updating user info would use User Update, etc.).
In general, the HR Assistant is there to handle day-to-day HR inquiries and tasks in a conversational way, freeing up HR teams from repetitive questions and giving employees quick answers.
Each of these agents is specialized, but thanks to the Agentic Framework, they don’t operate in isolation. They are all accessible through the single interface of Marissa AI (the Super Agent). The Agent Classifier and Orchestrator make sure your query finds the right one. From an end-user’s perspective, it feels like talking to one AI that knows everything about the HR platform.
Internally, it’s a whole team of AIs each handling their specialty. This design not only makes the AI’s responses more accurate (since each agent is focused on a specific area of expertise), but it also means Engagedly will develop and improve each agent separately without affecting others. New agents will be added as new features roll out, and existing ones will be fine-tuned with more knowledge of their domain over time.
Why go through all this complexity? Because the payoff is enormous for the user experience and HR outcomes. Here are some key benefits that Engagedly’s Agentic Framework brings to the table:
The multi-agent approach means each query is handled by a domain expert. This leads to more accurate and insightful answers. The AI isn’t just parroting generic info – it’s pulling from real, up-to-date data in the Engagedly system (your goals, your company’s feedback records, learning catalog, etc.) via the appropriate tools.
It also understands context better by using AI (LLMs) at multiple decision points. The result is an assistant that can answer complex questions (“What training should I take to improve in my current role based on my performance reviews?”) with intelligent, data-driven responses rather than one-size-fits-all advice.
From an end-user standpoint, getting things done in Engagedly becomes much faster. Instead of manually navigating through different modules (Goals, Learning, Feedback, etc.) and figuring out where to find information, a user can simply ask the AI and get an answer or have an action performed.
The Agentic Framework handles the multi-step process in seconds – what might take an employee 15 minutes clicking around the platform, the AI can do in a fraction of that time. This speed is especially valuable for managers or HR folks who need quick insights across systems.
For example, preparing for a one-on-one meeting might involve checking an employee’s goals, recent feedback, and training status – the AI can fetch all that in one consolidated response when asked. In short, the framework boosts efficiency and saves time for everyone.
Because of the Agent Memory and the context it provides, conversations with Engagedly’s AI feel much more personalized. The assistant can remember that you asked about a specific project or person earlier and use that context in follow-up answers. It can also tailor its responses based on who is asking – an employee vs. a manager might get answers scoped to their team or permissions.
These agents are designed to simplify the user experience by offering quick, relevant responses based on existing system data. While they don’t learn from past interactions today, future enhancements may explore deeper personalization. For now, the focus is on delivering consistent, accurate support that helps users get things done faster and with less friction.
For HR departments, this means employees are more likely to actually use the tools available to them, because interacting with the system is as easy as having a conversation with a knowledgeable colleague.
Because the Agentic Framework spans across all the major functions of the Engagedly platform, it essentially provides a one-stop-shop for HR support. Whether an employee needs help with a personal HR query or a manager needs a strategic insight, they go to the same assistant. This unified approach drives higher adoption of the system’s features.
It also ensures consistency in answers (the AI will give the same guidance to everyone based on the single source of truth data in the platform). The framework breaks down silos between different HR functions – performance, learning, engagement, etc. – by enabling cross-talk between agents when needed.
For example, a query about improving performance might involve both the Goals Agent and Learning Agent (goals data + learning recommendations). The orchestrator can facilitate such multi-agent collaboration to deliver a holistic answer. The end result is that organizations can manage talent development, performance improvement, and employee engagement in a more integrated way.
Engagedly’s Agentic Framework represents a significant leap forward in HR technology. By orchestrating a “team of AI agents” behind a friendly interface, Engagedly is able to provide users with an assistant that is knowledgeable in every facet of talent management. This means less time hunting for information and more time acting on insights.
Managers get to make data-informed decisions faster, employees get timely answers and guidance for their growth, and HR teams can focus on strategic work while routine queries are handled intelligently by the AI. It’s a smarter, faster, and more personalized way to engage with your HR software.
The best part? You don’t have to wait for the future – this is happening now. Engagedly is rolling out these AI capabilities (with Marissa AI at the helm) to help organizations elevate their performance and development processes. If you’re excited about the possibilities of AI in talent management, now is the time to experience Engagedly’s Agentic Framework in action.
Ready to transform your HR experience with intelligent agents? Reach out to Engagedly for a demo or consultation. See firsthand how Marissa AI and the Agentic Framework can empower your workforce and drive better engagement and performance. Don’t miss the opportunity to bring a cutting-edge AI co-pilot to your HR team – get in touch with Engagedly and let these smart agents start working for you!
