Agile Pune 14-15 Nov 2025 | From Pilot to Platform: How Agentic AI Transforms Platform Engineering by Supriya Rao
This document shares how Agentic AI is transforming platform engineering from manual orchestration to autonomous, intelligent systems that learn and optimize in real time.
Agile Pune 14-15 Nov 2025 | From Pilot to Platform: How Agentic AI Transforms Platform Engineering by Supriya Rao
1.
Disclaimer by Speaker
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necessarily to my employer / organization / client, etc.
• "The content" is based on my learning, experience as well as knowledge gathered through
material available in the public domain.
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session.
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referenced in the Call for Proposal submitted by me or on my behalf on the Agile Pune
Conference website (www.agilepune.com).
Supriya Rao 14th
Nov 2025
2.
PRACTICAL LESSONS
FROM BUILDINGAN
AGENTIC-FIRST
DEVELOPER PLATFORM
FROM HYPE TO AN AUTONOMOUS ROUTE TO LIVE
Supriya Rao, MD India
AGENTIC AI ISSUDDENLY EVERYWHERE. HERE’S HOW COMPANIES ARE
EVALUATING AND USING THESE BUZZY TECH TOOLS
FORTUNE
THE NEXT “NEXT BIG THING”: AGENTIC AI’S OPPORTUNITIES AND RISKS
UC BERKELEY
“AGENTS ARE NOT ONLY GOING TO CHANGE HOW EVERYONE INTERACTS WITH COMPUTERS.
THEY’RE ALSO GOING TO UPEND THE SOFTWARE INDUSTRY, BRINGING ABOUT THE BIGGEST
REVOLUTION IN COMPUTING SINCE WE WENT FROM TYPING COMMANDS TO TAPPING ON ICONS.”
Bill Gates
THE THIRD WAVE OF AI IS HERE: WHY AGENTIC AI WILL TRANSFORM THE
WAY WE WORK
FORBES
AGENTIC AI: 4 REASONS WHY IT’S THE NEXT BIG THING IN AI RESEARCH
IBM
HYPE, REALITY, AND THE ENTERPRISE CHASM
PATH 2
THE STRATEGICCHOICE
ONE-OFF TOOLS VS. A FOUNDRY MINDSET
ONE OFF
TOOLS
A FOUNDRY MINDSET FOUNDRY
PLATFORM
PATH 1
10.
INTRODUCING THE DIGITALFOUNDRY
& ITS PRIMITIVES
MODEL
GARDEN
AGENT
FRAMEWORK
RUNTIME
AND SERVICE
LAYER
OBSERVABILITY
SUITE
11.
GENERATING TEST
SCAFFOLDING
(5)
PLOTTING YOURROUTE
ENGINEERING USE CASES
TECHNICAL FEASIBILITY
AUTO FILL PR
DESCRIPTIONS
FROM GIT DIFF
(2)
AUTONOMOUSLY FIXING
NOVEL SECURITY
VULNERABILITIES
(?)
SHIFT LEFT ANALYSER (4)
SUMMARISING INCIDENT
POST-MORTEMS
(6+)
ENRICHING THE PR
PROCESS (2)
GOLDILOCKS ZONE
ENGINEERING
VALUE
NEW API
PLACEHOLDER
ANALYSER
(5)
TEST FAILURE EXPLAINER
(2)
SECURITY THREAD MODELLING
(?)
Internal SDK USAGE AND
DEPRECATION
(3)
RESEARCH AND TECH RADAR
(3)
TECH DEBT
TAGGER
(5)
BACKLOG
ASSISTANT
(3)
# = tool count
INTEGRATION COMPLEXITY
DISTINCT SYSTEMS,
DATA SOURCES, APIS
1. HOW DOOUR AGENTS SAFELY
ACCESS SYSTEMS?
2. HOW DO WE CONTROL OUR DATA
AND MODELS?
3. WHERE DO THESE AGENTS
ACTUALLY RUN?
THE THREE ENTERPRISE
QUESTIONS WE MUST ANSWER
17.
BLOCKER 1
SYSTEM ACCESS
THEAPI GATEWAY
PROBLEM
AGENTS ARE USELESS IF THEY CAN'T INTERACT WITH OUR ENTERPRISE
SYSTEMS.
SOLUTION
We mandate an API-First culture and create agent-specific service accounts with
least-privilege access. Our APIs are the standardised, safe docking ports on the
foundry's assembly line.
18.
BLOCKER 2
DATA &MODEL GOVERNANCE
THE PRIVATE FURNACE
PROBLEM
WHERE IS OUR PROPRIETARY DATA GOING?
SOLUTION:
We use Enterprise Model Gardens (Vertex AI, Bedrock, etc.) to keep data private.
This is our private, certified furnace, and we build our own Access Control Layer on
top to act as its control panel.
19.
BLOCKER 3
THE DEPLOYMENTENVIRONMENT
THE CLEAN ROOM
PROBLEM
WHERE DOES AN AGENT LIVE AND RUN?
SOLUTION
We treat agent hosting as a first-class platform product, deploying agents into
Insulated, Sandboxed Runtimes—the foundry's 'clean room'. This secure, monitored
environment, managed by a dedicated platform team, ensures both safety and
velocity, enabling our platform to grow organically.