AWS for Software Companies Podcast

Omilia’s CTO shares their strategy on building AI that facilitates billions of calls and what it takes to win the next decade.
Topics Include:
Miguel Alava welcomes Marios Fakiolas, CTO of Omilia
Omilia has built production AI for over 20 years
Banking and telco clients demand speed and accuracy
Omilia builds its own agent framework and self-learning agents
Infrastructure and data matter more than any single model
Models are ships; Omilia's infrastructure is the permanent dock
AI is core infrastructure at Omilia, not an external API
Builders differ from orchestrators by owning bespoke models
Platform is a kitchen; models are ingredients for recipes
Omilia believes AI should be accessible, not just for elites
AI vendors split into camps by economics and scalability
Gen AI and ROI don't yet align well industry-wide
Small unaddressed pain points can quietly sink AI projects
Omilia revisits its offering using deep customer knowledge
Cost-efficient economics at billions of calls is Omilia's moat
Making AI work differs from making AI profitable
Bedrock enables fast prototyping and early customer feedback
Omilia moves to SageMaker AI to fully own its models
Marios praises the AWS team supporting Omilia daily
Speed round covers AI advocates, cloud, and adaptability ahead

Participants:
Marios Fakiolas – Chief Technical Officer, Omilia
Miguel Alava – EMEA ISV General Manager, Amazon Web Services

See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

From alert to root cause in one minute - how PagerDuty built autonomous incident response on Amazon Bedrock, and the future of triage and trust.
Topics Include:
PagerDuty's agents must perform during 2am outages — stakes are high
Software shipping accelerated dramatically; production environments largely did not
A 9:30pm slowdown traced to a race condition solved two years earlier
The fix was documented — but the context wasn't at hand
PagerDuty Advance ships four agents: SRE, Scribe, Shift, Insights
Why four, not one? Focus and predictability in non-deterministic systems
Saurabh Shanbhag: Bedrock is far more than a model service
Zero data retention, PrivateLink, TLS — why enterprises pick Bedrock
Frontier models everywhere burns tokens; classify, route, distill, fine-tune
SRE agent triages alerts before you even join the call
One minute to root cause — context beat raw intelligence
Human surfaces versus machine surfaces: MCP and CLI move fastest
"The model eats the harness" — every upgrade invalidates foundational components
Feeding agents everything failed; compartmentalised investigation threads work better
New York Life's three stages of trust, and the seatbelt override that wasn't

Participants:
Tom Hogarty - Senior Director Product Management, PagerDuty
Saurabh Shanbhag – Sr Partner Solution Architect, Amazon Web Services

See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Domo and AWS reveal how AI agents freed sales reps from 20 hours of weekly busywork, turning scattered data into real-time coaching and forecasting.
Topics Include:
Domo and AWS teams introduce today's session on AI agents in sales.
Topic: using AI agents to transform sales operations, from insight to action.
IT teams increasingly asked to turn data into actionable outcomes, not just access.
Domo's CRO wanted AI agents to boost sales rep efficiency significantly.
Reps act like "archaeologists," digging through scattered systems for basic context.
This digging eats roughly 20 hours weekly, half of reps' time.
Goal: personal AI agent per rep, understanding their book of business.
Live demo begins: agent app surfaces urgent items needing attention.
Agent tracks deal milestones, timelines, and forecasts from call and email data.
"Deal coach" feature grades rep performance and suggests next actions.
Agent tone can be tuned from gentle to direct, aiding tough feedback.
Architecture overview begins: building an AI-ready data foundation first.
Data from CRM, calls, and emails flows into a cloud warehouse.
Two agents built: automated deal analysis and personalized deal coach.
Agents write insights back to CRM, preserving human edit control.
Recipe: build foundation, activate with agents, distribute to people.
Governance must be embedded throughout, not bolted on afterward.
Second example: Fogo do Chão uses AI to analyze restaurant reviews.
AWS architecture explained: Domo runs on Bedrock, defaulting to Anthropic models.
Q&A: sales team adoption was immediate and enthusiastic post-rollout.

Participants:
Jason Longhurst – Head of Product Marketing, Domo
Aman Tiwari - Sr Solutions Architect, ISV, Amazon Web Services

See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Curious how AI can query your enterprise data without moving it or making things up? AWS and Teradata break down a trustworthy analyst agent built for real production use.
Topics Include:
Neha Wadhera (AWS) introduces Trinath Yarlagadda and the Teradata Analyst Agent
Enterprise AI data prep is costly, stalling most orgs at experimentation
Agent answers plain-English questions via traceable SQL, zero data movement
Barrier removal drives 3.7x ROI and 40% productivity gains
Healthcare demo setup: hospital COPD readmissions, ~$10K cost per incident
Four design principles: traceability, no data movement, deterministic-first, governance as code
Main orchestrator agent plans, writes SQL, calls Teradata MCP server
Complex questions escalate to a context-isolated data scientist agent
Built on Claude Agent SDK, running Bedrock Claude Sonnet/Haiku/Opus
Live demo: COPD readmission rates explored through iterative agent reasoning
Delegation demo: data scientist agent runs in-database analysis, surfaces factors
Pre/post tool hooks log every step and cost to CloudWatch
Agent hosted on Amazon Bedrock AgentCore, fully serverless and scalable
AgentCore delivers runtime, memory, identity, and observability out of the box
Lessons learned: guardrails first, deterministic ops, multi-agent registry, ongoing evaluation

Participants:
Trinath Yarlagadda – Principal Solution Architect – Agentic AI, Teradata
Neha Wadhera – Sr Solutions Architect, Amazon Web Services

See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Learn how Vercel's "self-driving infrastructure" vision pairs with AWS databases to eliminate backend friction, securely cutting Aurora Serverless creation time from minutes to seconds.
Topics Include:
Hedieh Zandi (Vercel) and Manbeen Kohli (AWS) introduce prompt-to-production session
Vercel powers 18 million developers, maintains Next.js and AI SDK
Vercel's agentic infrastructure runs on AWS Lambda, CloudFront, and S3
AI now generates frontend, APIs, and workflows for small teams
Backend friction remains: credentials, provisioning, database configuration still hard
Vercel envisions "self-driving infrastructure" that adapts automatically to apps
New AWS partnership brings native Aurora DSQL and Postgres integration
Manbeen explains databases now built into Vercel Marketplace and v0
Aurora Serverless database creation sped up from minutes to seconds
Aurora Postgres, DynamoDB, and DSQL scale prototypes without rewrites
Pre-configured templates help builders start RAG or shopping AI apps
Database security uses OIDC and IAM tokens, no stored passwords
AWS chosen for agents: low latency, autonomy, one-click simplicity
skills.sh gives agents reusable instructions, mirrors AWS Kiro's "powers"
v0 lets users build full-stack apps using natural language prompts
v0 uses Bedrock models and deploys directly on Vercel infrastructure
Live demo: v0 builds restaurant app, provisions database, adds Stripe checkout
Demo ends at AWS console; Rauch quote and hackathon close session

Participants:
Hedieh Zandi - Product Lead, Vercel
Manbeen Kohli - Director of Product Management, Aurora and RDS Databases, Amazon Web Services
See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/