Vibe coding is accelerating code development within the Enterprise, but at what cost of security? Retool’s CEO shares how you can accelerate software development while managing the risks effectively.

Topics Include:

• Internal software runs pharmacies, grocery checkouts, and airport check-ins daily
• Retool manages and de-risks environment from insecure code
• AI has driven a 10x surge in code volume since 2025
• More code plus less human review means falling code quality
• Non-engineers can now build working apps in minutes flat
• But deploying and securing those apps remains genuinely difficult
• Multiple CIOs found private company data exposed on the internet
• Uncontrolled model choice is quietly driving up company costs
• Attackers now deploy automated agent swarms, not lone hackers
• Defense is asymmetric: one flaw in, everything must hold
• Retool runs inside customers' own cloud, often on AWS
• A single data choke point enables logging, audits, authorization
• Guardrails, not their absence, actually let teams move faster
• Security audits reveal major gaps in nearly all companies checked
• Nearly all companies may face a serious hack within 18 months

Participants:

• David Hsu – Founder, CEO, Retool

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

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/

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/