AWS for Software Companies Podcast

In a fascinating panel discussion, executives from Couchbase, SentinelOne and AWS share strategies ensuring the highest adoption and ROI when deploying AI and the pitfalls to avoid along the way.
Topics Include:
Agentic AI marks shift from clever data to autonomous agents
Organizations sit at different AI maturity levels, not uniform
Only 31% of adopters see measurable financial impact from AI
Adoption friction, not access, is what stalls most AI value
Segment your workforce: innovators, pragmatic majority, and reluctant laggards
Give innovators tools, budget, and freedom before chasing laggards
Visible recognition programs turn early innovators into internal role models
AI-ready data infrastructure remains the top blocker to real adoption
Future AI value concentrates at customer-facing, transaction-level touchpoints
Coding tools see fast uptake; broader business adoption lags behind
AI is quietly rewriting SEO, SEM, and lead-routing strategy
Agent trust requires both clean data and strong safety guardrails
Human-in-the-loop review lets AI handle investigation, humans decide outcomes
In agentic AI, go-to-market partnerships matter more than past tech waves
Strong tech-platform partnerships help smaller vendors punch above their weight
Marketplace listings can cut sales cycles from months to weeks
Best partnerships form around solving hard problems, not quarterly quotas
Confidence gap: only 38% of employees feel AI-ready

Participants:
Deirdre Toner – President & Chief Commercial Officer, Couchbase
Eran Ashkenazi - Chief Business Officer, SentinelOne
Connie de Lange – Director, AWS Strategic Customer & Partner Marketing, North America, Amazon Web Services
Matt Wood – Chief AI & Technology Officer, 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/

Demandbase's Vice President of Product explains why they deleted a fully-approved AI architecture two months before launch — and how the rebuild surpassed some of their customer’s highest expectations.
Topics Include:
AWS's Achint Naveen introduces Demandbase's VP of Product, Chad Holdorf
Demandbase unifies sales, marketing, and revenue data into one view
November's architecture used many specialized agents, all committee-approved
That design failed constantly — only a 30% conversation pass rate
On May 11th, the team deleted the entire architecture
Rebuilt in May with AWS Strands: one simpler, flexible agent
Pass rate leapt from 30% to 94% almost overnight
Week two retention rose from the low 20s to upper 80s
Weekly active users grew 45% week-over-week after launch
Real customer interviews play, calling the new AI a "dream"
One user cut an hour-long report down to fifteen minutes
Customers now trace ad impressions directly to closed deals
Holdorf's advice: delete and rebuild when architecture gets too complex
AWS's Naveen walks through Bedrock, AgentCore, and Strands
AgentCore Memory highlighted as Demandbase's next area of exploration

Participants:
Chad Holdorf – Vice President of Product Management, Demandbase
Achint Naveen – Sr Account 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/

ServiceNow and AWS reveal how the DevOps Agent and MCP Server Console are turning incident response into a fast, autonomous, fully governed process.
Topics Include:
Govind Menon (ServiceNow) and Arun Jacob (AWS) discuss MCP and A2A strategy.
ServiceNow understands workflows; partners with AWS to power them with AI.
AI Control Tower governs and secures agent access to enterprise data.
MCP is the industry standard for how AI agents read and act.
Action Fabric spans A2A, REST APIs, and MCP for agentic work.
AWS DevOps Agent, built on Bedrock, resolves incidents through sub-agents.
Admin and operator access patterns integrate with Dynatrace, Datadog, Slack, GitHub.
Demo: ServiceNow incident automatically triggers DevOps Agent investigation and resolution.
DevOps Agent writes findings live back into the ServiceNow incident ticket.
ServiceNow champions capping MCP servers at 30 tools for performance.
MCP Server Console lets teams build scoped, use-case-specific tool servers.
NowAssist skills, Knowledge Graph, and REST APIs become MCP tools.
Live demo connects a 38-tool custom MCP server to DevOps Agent.
Role-based access ensures users only see their permitted MCP tools.
ServiceNow's autonomous ITOM agents point toward unsupervised future operations.

Participants:
Govind Menon – Head of MCP Product, ServiceNow
Arunsingh Jeyasingh Jacob – Senior Solution 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/

Chief Strategy Officer Nick Reed unpacks the "architecture of trust," AI-native enterprise transformation, and why staying laser-focused on customer value is central to Bizzdesign's bold AI strategy.
Topics Include:
Bizzdesign: global enterprise transformation SaaS company with Dutch roots, founded 2000, Main Capital-backed
Customers include HSBC, Shell, KPMG, and Airbus globally
Bold 12-month strategy: acquired Mega International and Alfabet from Software AG
Acquisitions tripled revenue, created the first true end-to-end enterprise transformation suite
Bizzdesign’s 18-year recognition as a Gartner Magic Quadrant Leader in Enterprise Architecture
The launch of Bizzdesign Unify in April 2026, an AI-native transformation collaboration platform
Nick Reed's journey: enterprise software, customer value, M&A strategy, and AI-driven transformation
How Bizzdesign supports planning, design, and governance pillars across the transformation lifecycle
How Bizzdesign Unify complements existing enterprise architecture and portfolio management environments
Why Bizzdesign Unify is architecturally different: conversational AI-native experience, not traditional UI
AI acts as a co-worker, supporting transformation work and decisions through curated skills
New experience opens enterprise context to broader stakeholders
Bizzdesign Unify bridges the gap between messy whiteboards and governed enterprise data
Example walkthrough: mapping customer service transformation dependencies and impacts
Generative AI creates transformation scenarios grounded in enterprise context
Tech stack built on Amazon Bedrock, MCP clients, graph data
Balancing agentic AI and automation with human-in-the-loop accountability
"Architecture of trust": permissions, oversight, and decentralized control
Pricing shifts from seat-based to AI credit consumption model
Closing advice: stay laser-focused on core customer value creation

Participants:
Nick Reed – Chief Strategy Officer, Bizzdesign
Kamil Davidov – Sales Leader Israel ISV-BizApps, Amazon Web Services
Johan Broman – EMEA ISV Head of Solutions Architecture, 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/

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/