Agentic AI in the AI-Enabled Software Development Lifecycle: Foundations, Use Cases, Architecture, and Governance

Agentic AI in the AI-Enabled Software Development Lifecycle: Foundations, Use Cases, Architecture, and Governance

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  01 Agentic AI forthe AI-Enabled SDLC Day 1 | Foundations of Agentic AI Abhimanyu S. 2 hours · Day 1 of 4 abhimanyu.singhal@live.com
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  Where today sits Foursessions, one thread: from understanding to governing DAY 1 Foundations What agents are made of, and how much autonomy they hold YOU LEAVE ABLE TO Judge any agent by its four parts and its real autonomy. DAY 2 Use Cases Where agents pay off across PM, Dev, QA and AIOps YOU LEAVE ABLE TO Tell a use case that pays off from one that quietly fails. DAY 3 Architecture RAG, MCP, context fabric, telemetry - how they really run YOU LEAVE ABLE TO Follow how these actually run on our own stack. DAY 4 Governance & ROI Approval gates, least privilege, adoption metrics YOU LEAVE ABLE TO Set the right gates, and read the numbers honestly. YOU ARE HERE Each session builds on the vocabulary of the one before. Keep one task from your own work in mind as we go - the later sessions land better when you can test the ideas against something real.
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  Today at aglance Five blocks in two hours — and the four things you should be able to do by the end WHAT WE COVER WHAT YOU WALK OUT ABLE TO DO 1 Foundations: why agentic, why now 5 min 2 Anatomy of an agent: the four parts 25 min 3 How an agent actually runs: harness, context, loop 25 min 4 Capability spectrum: assistant, copilot, agent 30 min 5 Live demo + debrief 20 min 1 Name the four parts Reasoning, memory, tools and planning — and how to spot which one failed. 2 Explain how one actually runs One turn: context in, tool call out — and why cost and drift grow with the run. 3 Place any tool on the spectrum Assistant, copilot or true agent — decided by three questions, not marketing. 4 Judge autonomy honestly How much decision authority it really holds, and how much you would grant it. Please interrupt as we go — this works far better as a conversation. We will come back to the four outcomes at the end and check them honestly.
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  02 Agentic AI forthe AI-Enabled SDLC Day 2 | High-Value Use Cases Across the AI-Enabled SDLC Abhimanyu S. 110 minutes · Day 2 of 4 abhimanyu.singhal@live.com
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  Today at aglance Four blocks — and the four things you should be able to do by the end WHAT WE COVER WHAT YOU WALK OUT ABLE TO DO 1 What makes a use case viable 15 min 2 Where they pay off, function by function 40 min 3 Deciding where to start 15 min 4 Your own candidate 30 min 1 Name the three conditions Repeatability, a clear outcome, and what it costs when it is wrong. 2 Spot the quiet failures The candidate that looks strong, gets funded, and goes nowhere. 3 Place one on effort and impact And defend where you put it, to the person who wants it higher. 4 Scope your own What it reads, what it changes, and where it has to stop and ask. The last block is yours — bring the task you were asked to think about. Interrupt as we go; this works better as a conversation.
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  03 Agentic AI forthe AI-Enabled SDLC Day 3 | How Enterprise Agents Actually Work Here Abhimanyu S. 110 minutes · Day 3 of 4 abhimanyu.singhal@live.com
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  Today at aglance Six blocks — and the four things you should be able to do by the end WHAT WE COVER WHAT YOU WALK OUT ABLE TO DO 1 The reference architecture 15 min 2 Grounding it in what you know 20 min 3 Connecting it to your systems 20 min 4 Keeping humans in control 15 min 5 Seeing what it did 20 min 6 One run, all the way through 10 min 1 Name the four planes What it can know, what it can do, what it may do unasked, and what you can see afterwards. 2 Say what grounding costs The corpus, the permissions on it, and the questions you test it with. 3 Read a tool list as a control Including the half of the list you deliberately do not grant. 4 Read a trace of one run Four kinds of span, and the five numbers you would run this on. The densest of the four sessions. Architecture at the level you need to scope and govern one — not to build one. Interrupt as we go.
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  04 Agentic AI forthe AI-Enabled SDLC Day 4 | Governance, ROI and the Operating Model Abhimanyu S. 110 minutes · Day 4 of 4 abhimanyu.singhal@live.com
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  Today at aglance Four blocks — and the four things you should be able to do by the end WHAT WE COVER WHAT YOU WALK OUT ABLE TO DO 1 Governance that survives contact 25 min 2 One governed run, end to end 10 min 3 The numbers that decide it 25 min 4 Your design, made defensible 35 min 1 Turn a policy into a control A mechanism, a named person, and a record. Most policies have one of the three. 2 Stage a rollout with exit criteria Shadow, suggest, assist, act — and the number that says when to move. 3 Answer "was it worth it?" honestly Four delivery numbers, and the baseline you can only take before you start. 4 Defend one design of your own The same four questions a sponsor will ask, asked here first. The last block is yours, and it is the reason this session is worth attending live. Bring what you scoped — we finish with four of them, in front of the room.
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  Abhimanyu S. Agentic AIfor the AI-Enabled SDLC · a four-session programme abhimanyu.singhal@live.com Slides are free to use with attribution. Speaker scripts and the demo fixtures are available on request. SCAN TO CONNECT