Advertise on podcast: AWS for Software Companies Podcast

LaunchDarkly CPO Jonathan Nolen breaks down how teams can build, validate, and ship software at agent speed, without losing control. Topics Include: Jonathan Nolen explains how LaunchDarkly helps 3,000 enterprises manage change.Target features down to individual users and toggle them without redeploying.Customers range from startups and government agencies to airlines and pizza delivery.Why LaunchDarkly sells cultural change, not just a developer tool.Engineers are creatures of habit, so adoption takes real evangelism.Instant rollback means you hear about incidents next morning, not at 2 a.m.We’re living through a rebirth of the software development lifecycle.Ramp is building its own software factory powered by autonomous agents.A healthcare insurer is building its agent factory on just three tools.Start agents on bug fixes, then features, then whole projects.Why Nolen is retiring the term “vibe coding.”Code written at agent speed must be validated at agent speed.There are two levers: invest in testing, or shrink the blast radius.Progressive rollouts move from internal users to synthetic tests to beta cohorts.No single safeguard is enough; layered techniques build real confidence.The key metric is valuable software shipped per unit of human attention.Automate everything, and bring humans in only where judgment matters.LaunchDarkly is on the same AI journey as its customers.Why LaunchDarkly sees itself as critical infrastructure, not just SaaS.It designs for failure, so customer apps keep running during outages.Two questions to ask: how fast, and how granularly, can you fix releases?Big-batch rollbacks hold every team captive to the slowest feature.Turn off just the broken feature, fleet-wide, in under a second.Nolen’s biggest recent lesson: first ask AI how to solve the problem.Inside LaunchDarkly’s culture: one team that wins or loses together.Ownership, smart bets, and using risk to your advantage.Radical transparency means less time spent agreeing on what reality is.Cheap code creates new bottlenecks, like humans trying to review everything.The future is learning by building and testing ideas directly in production.The organizations that close this loop fastest will see compounding advantages. Participants: Jonathan Nolen – Chief Product Officer, LaunchDarkly See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Discover how Veeva transformed a free clinical research platform into a sustainable freemium business, balancing with their mission through transparent communication, fair pricing, and smart migration tooling built on AWS. Topics Include: How Veeva builds industry cloud software for clinical research sitesWhy clinical trials sit between healthcare delivery and life sciencesHow a free platform grew into a self-sustaining businessBalancing monetization and mission: free tiers, fair pricing, annual true-upsGiving 15 months' notice and over-communicating the whyBuilding migration tooling to move users from multi-tenant to enterpriseHandling edge cases and migration issues through radical transparencyNavigating customer pushback amid 2025 NIH funding cutsWhat a strategic AWS partnership looks like beyond infrastructureGetting more from AWS by sharing long-term goals, not transactionsAdvice for SaaS leaders: set boundaries, prioritize fairness, own the messagePreparing teams for change without gaming out every objection Participants: Nick Frenzer – General Manager, Site Solutions, Veeva See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Go inside a massive, still-in-progress migration of 1,500+ servers out of two Canadian data centers, with candid lessons on what works, what was surprising, and what to do differently. Topics Include: Inside a live migration: 1,500+ servers leaving two Canadian data centers.How BlackBerry became a secure communications and QNX vehicle software company.Decades of legacy systems, and why standing still became costlier.Three converging forces: VMware licensing, hardware end-of-life, and FinOps gaps.The goals: close data centers, exit VMware, modernize only what matters.Choosing partners and funding programs that work as one team.A five-week assessment with parallel workstreams and five key workshops.Rehost, re-platform, or refactor: pragmatism over migration ideology.Early lessons on discovery, cost transparency, and over-communicating.Building the landing zone: accounts, networking, identity, and security.Discovery, right-sizing, then migrating, validating, and cutting over workloads.Wave planning: start simple, save the most complex workloads for last.Day two: cost tagging, observability, and AI-assisted modernization backlogs.Final advice: business case first, migrate now, modernize later. Participants: Jason Whissell – Vice President, IT & Business Application Solutions, BlackberryMehran Najafi PhD - Principal AI Architect & Head of AI Solution Architects, AWS Canada, 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 data-center chaos to billion-dollar acquisitions: the real story behind Clio's cloud journey, compliance battles, and rapid AI-driven transformation. Topics Include: AWS-Clio partnership: migrate, modernize, add AI, then co-sellLegal industry ran on WordPerfect, mainframes, and homemade billingClio launched 2008, same year as AWS's first databaseNow serves 400,000+ legal professionals across 130 countriesLanded legal tech's largest-ever acquisition, raised $500M Series GShips code 50-100 times daily in a regulated industryStarted split across a data center, Azure, AWS, some GCPNine years of acquisitions, fundraising, and rapid team growthSharded databases, added regions for compliance and low latencyEngineering team grew from 40 to over 650 peopleLawyers once feared cloud security and data ownership questionsThree principles: data security, system resilience, data regionalityStage one: survival, learning EC2, RDS, S3 basicsStage two: earning trust through SOC 2, PCI complianceAWS became a compliance partner, not just a hostStage three: AI reshapes coding speed and company cultureIntegrating acquisitions scattered across Heroku, GCP, Azure, othersVLUX deal added a billion-document legal case-law databaseRapid acquisition-to-launch playbook: some products shipped in daysStrategy: avoid single AI vendor, preserve maximum optionality Participants: Jonathan Watson – Chief Technology Officer, ClioMartin Bazinet – Director of Technology, AWS Canada, 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/

Experts from Pegasystems and AWS reveal how AI-powered tools now modernize decades-old mainframe systems in weeks instead of years—unlocking trapped data faster than ever. Topics Include: Session covers accelerating mainframe modernization using AWS Transform and Pega BlueprintAgenda: challenges, joint solution, value prop, customer story, rollout mechanismMainframe costs rise 20-30% yearly, straining IT budgets significantlyMonolithic systems create long time-to-market, hurting competitiveness against newer rivalsMainframe data stays locked away, blocking AI adoption and innovationRetiring mainframe skills outpace new workforce training, compounding the problemAI now enables analyzing decades-old code bases within weeks, not yearsAWS Transform extracts business logic; Pega Blueprint visualizes modernized target applicationsFive-step journey: Transform, Pega Foundry, Blueprint, then deployment via Infinity platformThree Transform agents handle code, data, and activity analysis separatelyData analysis covers data lineage and data dictionary schema extractionOutputs feed a knowledge graph, enabling natural language queries anytimeTransform deterministically identifies distinct data paths from mainframe systemsData paths get grouped into business functions, each modernizable independentlyFinal steps extract business logic and generate plain-English requirementsBlueprint agent enriches Transform outputs, enabling intuitive workflow designBlueprint offers runtime previews and is publicly accessible at pega.comPega Infinity platform handles both batch and online mainframe workloadsInsurance company Unum modernized 1.5M lines of COBOL in three monthsExperience-Based Acceleration program delivers modernized, working code within four-to-six weeks Participants: Surender Kumar – Director, Mainframe Modernization, PegasystemsUjwal Bukka – Sr Partner Solutions Architect, Business Apps, Amazon Web ServicesSourav Sarkar – Sr Worldwide Specialist Solutions Architect, Mainframe & Legacy Modernization, 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/

Discover how Zuora turned its own billing platform inward to track AI costs down to the individual engineer, giving CFOs the trust and auditability they demand. Topics Include: AWS's Achint Naveen opens, introduces Zuora as a key partnerAudience poll reveals AI monetization is still a struggleZuora's Katherine Shealy introduces the company's AI monetization focusZuora powers monetization for global brands like Twilio, ZoomTheir platform spans CPQ, billing, metering, and revenue recognitionUsage-based pricing has flipped seat-based SaaS models upside downAI companies face a 20-point margin gap versus SaaSCompanies juggling multiple pricing models face major hidden complexityTraditional pricing models are breaking down under AI's dynamic costsZuora's framework aligns teams early through an NPI-style processTheir tech lets companies iterate pricing at engineering speedZuora now tracks its own AI costs internally tooZuora AI runs on AWS Bedrock and AgentCore infrastructureAWS's Achint details the full stack behind Zuora AIAgentCore Memory gives Zuora's agents secure, persistent context Participants: Katherine Shealy – Principal Product Marketing Manager, ZuoraAchint 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/

Sophos CSO Simon Reed reveals how attackers now operate like leveraged businesses—and how AI is making both sides of the cyber arms race dramatically more sophisticated. Topics Include: Intro: Simon Reed, CSO at Sophos, joins Kamil Davidov.Sophos defends 625,000+ organizations with AI-native Fusion platform.Sophos MDR runs the world's largest agentic SOC.Simon's journey: cybersecurity since 2001, from graffiti to warfare.Cyber threats framed as constant toxicity, not occasional lightning strikes.Sophos spans small business to enterprise, giving unique threat visibility.Attackers now operate as leveraged, ecosystem-driven businesses, not lone actors.AI dramatically increases attack quality, speed, and sophistication.AWS Local Zones cut latency for Sophos's threat intelligence cloud.IntellX connects every product to real-time global threat data."Good day" means finding novelty before attackers exploit it.Worst days: sudden, unpredictable supply chain compromise scenarios.Sophos updates protection across 600,000 customers within minutes.Decisions made fast, on incomplete data, balancing speed and risk.Sophos has pursued AI and deep learning for eight-plus years.Agentic AI's next phase reduces laborious human security work.Simon prioritizes class-based, automation-scale defenses over budgets.Sophos cut data platform costs 30%, migrated ahead of schedule.Advice: hyper-engage AWS account teams, push for more.Closing story: Sophos helped stop ransomware hitting hospitals during COVID. Participants: Simon Reed – Chief Security Officer, SophosKamil Davidov – Sales Leader Israel ISV-BizApps, 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/

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 dailyRetool manages and de-risks environment from insecure codeAI has driven a 10x surge in code volume since 2025More code plus less human review means falling code qualityNon-engineers can now build working apps in minutes flatBut deploying and securing those apps remains genuinely difficultMultiple CIOs found private company data exposed on the internetUncontrolled model choice is quietly driving up company costsAttackers now deploy automated agent swarms, not lone hackersDefense is asymmetric: one flaw in, everything must holdRetool runs inside customers' own cloud, often on AWSA single data choke point enables logging, audits, authorizationGuardrails, not their absence, actually let teams move fasterSecurity audits reveal major gaps in nearly all companies checkedNearly 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 agentsOrganizations sit at different AI maturity levels, not uniformOnly 31% of adopters see measurable financial impact from AIAdoption friction, not access, is what stalls most AI valueSegment your workforce: innovators, pragmatic majority, and reluctant laggardsGive innovators tools, budget, and freedom before chasing laggardsVisible recognition programs turn early innovators into internal role modelsAI-ready data infrastructure remains the top blocker to real adoptionFuture AI value concentrates at customer-facing, transaction-level touchpointsCoding tools see fast uptake; broader business adoption lags behindAI is quietly rewriting SEO, SEM, and lead-routing strategyAgent trust requires both clean data and strong safety guardrailsHuman-in-the-loop review lets AI handle investigation, humans decide outcomesIn agentic AI, go-to-market partnerships matter more than past tech wavesStrong tech-platform partnerships help smaller vendors punch above their weightMarketplace listings can cut sales cycles from months to weeksBest partnerships form around solving hard problems, not quarterly quotasConfidence gap: only 38% of employees feel AI-ready Participants: Deirdre Toner – President & Chief Commercial Officer, CouchbaseEran Ashkenazi - Chief Business Officer, SentinelOneConnie de Lange – Director, AWS Strategic Customer & Partner Marketing, North America, Amazon Web ServicesMatt 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 HoldorfDemandbase unifies sales, marketing, and revenue data into one viewNovember's architecture used many specialized agents, all committee-approvedThat design failed constantly — only a 30% conversation pass rateOn May 11th, the team deleted the entire architectureRebuilt in May with AWS Strands: one simpler, flexible agentPass rate leapt from 30% to 94% almost overnightWeek two retention rose from the low 20s to upper 80sWeekly active users grew 45% week-over-week after launchReal customer interviews play, calling the new AI a "dream"One user cut an hour-long report down to fifteen minutesCustomers now trace ad impressions directly to closed dealsHoldorf's advice: delete and rebuild when architecture gets too complexAWS's Naveen walks through Bedrock, AgentCore, and StrandsAgentCore Memory highlighted as Demandbase's next area of exploration Participants: Chad Holdorf – Vice President of Product Management, DemandbaseAchint 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-backedCustomers include HSBC, Shell, KPMG, and Airbus globallyBold 12-month strategy: acquired Mega International and Alfabet from Software AGAcquisitions tripled revenue, created the first true end-to-end enterprise transformation suiteBizzdesign’s 18-year recognition as a Gartner Magic Quadrant Leader in Enterprise ArchitectureThe 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 transformationHow Bizzdesign supports planning, design, and governance pillars across the transformation lifecycleHow Bizzdesign Unify complements existing enterprise architecture and portfolio management environmentsWhy Bizzdesign Unify is architecturally different: conversational AI-native experience, not traditional UIAI acts as a co-worker, supporting transformation work and decisions through curated skillsNew experience opens enterprise context to broader stakeholdersBizzdesign Unify bridges the gap between messy whiteboards and governed enterprise dataExample walkthrough: mapping customer service transformation dependencies and impactsGenerative AI creates transformation scenarios grounded in enterprise contextTech stack built on Amazon Bedrock, MCP clients, graph dataBalancing agentic AI and automation with human-in-the-loop accountability"Architecture of trust": permissions, oversight, and decentralized controlPricing shifts from seat-based to AI credit consumption modelClosing advice: stay laser-focused on core customer value creation Participants: Nick Reed – Chief Strategy Officer, BizzdesignKamil Davidov – Sales Leader Israel ISV-BizApps, Amazon Web ServicesJohan 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 OmiliaOmilia has built production AI for over 20 yearsBanking and telco clients demand speed and accuracyOmilia builds its own agent framework and self-learning agentsInfrastructure and data matter more than any single modelModels are ships; Omilia's infrastructure is the permanent dockAI is core infrastructure at Omilia, not an external APIBuilders differ from orchestrators by owning bespoke modelsPlatform is a kitchen; models are ingredients for recipesOmilia believes AI should be accessible, not just for elitesAI vendors split into camps by economics and scalabilityGen AI and ROI don't yet align well industry-wideSmall unaddressed pain points can quietly sink AI projectsOmilia revisits its offering using deep customer knowledgeCost-efficient economics at billions of calls is Omilia's moatMaking AI work differs from making AI profitableBedrock enables fast prototyping and early customer feedbackOmilia moves to SageMaker AI to fully own its modelsMarios praises the AWS team supporting Omilia dailySpeed round covers AI advocates, cloud, and adaptability ahead Participants: Marios Fakiolas – Chief Technical Officer, OmiliaMiguel 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 highSoftware shipping accelerated dramatically; production environments largely did notA 9:30pm slowdown traced to a race condition solved two years earlierThe fix was documented — but the context wasn't at handPagerDuty Advance ships four agents: SRE, Scribe, Shift, InsightsWhy four, not one? Focus and predictability in non-deterministic systemsSaurabh Shanbhag: Bedrock is far more than a model serviceZero data retention, PrivateLink, TLS — why enterprises pick BedrockFrontier models everywhere burns tokens; classify, route, distill, fine-tuneSRE agent triages alerts before you even join the callOne minute to root cause — context beat raw intelligenceHuman surfaces versus machine surfaces: MCP and CLI move fastest"The model eats the harness" — every upgrade invalidates foundational componentsFeeding agents everything failed; compartmentalised investigation threads work betterNew York Life's three stages of trust, and the seatbelt override that wasn't Participants: Tom Hogarty - Senior Director Product Management, PagerDutySaurabh 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, DomoAman 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/