If you're betting on agentic AI, hear directly from the builders navigating the challenges, innovating pricing models, and creating the coming reality where every employee manages thousands of agents.

Topics Include:

• Four panelists represent the full AI stack: build, run, secure, monitor.
• Agentic AI moved faster than anyone predicted just 18 months ago.
• Writer AI's no-code agent builder missed both its target personas entirely.
• Non-technical users now just prompt agents instead of building workflows.
• Fireworks AI processes over ten trillion tokens daily across open models.
• DeepSeek's Christmas release tripled Fireworks' capacity needs almost overnight.
• Okta identified agent identity as a security problem from day one.
• 91% of organizations are already using AI agents in some capacity.
• Datadog evolved naturally from dashboards to autonomous investigative agents.
• Bits.ai agents now diagnose production incidents before engineers wake up.
• Trust requires explainability — black-box agents stall enterprise adoption cold.
• Human-in-the-loop remains essential; risk tolerance varies wildly by organization.
• Writer AI compressed a four-month retail workflow down to one week.
• Multi-provider inference consistency is one of the hardest unsolved infrastructure problems.
• Agentic pricing models are fundamentally broken for enterprise budget planning today.
• Agents managing agents means every employee becomes a manager of thousands.
• POC data gaps are the most underrated blocker to production deployment.
• Security must be designed in from the start — retrofitting is painful.
• Build evaluations first so you know if you're actually improving anything.
• Find your uniquely differentiated data and build your agentic bet there.

Participants:

• Yannick Guillerm – Regional Manager, Sales Engineering, Datadog
• Ray Thai – Director of Product Management, Fireworks AI
• Andrew Yu – Vice President of Engineering, Okta
• Matan-Paul Shetrit – Director of Product Management, Writer AI
• Moderator: Carol Potts – General Manager, North America ISV Sales, AWS

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

Asana CPO Arnab Bose breaks down how AI agents are transforming collaborative work management with multiplayer AI teammates that any team member can coach and correct.

Topics Include:

• Asana is a collaborative work management platform used by 170,000+ companies worldwide.
• The "Pyramid of Clarity" connects individual tasks all the way up to company strategy.
• Asana's "work graph" maps tasks, teams, projects, and portfolios in one connected system.
• Generative AI now converts unstructured data like emails into structured project plans.
• Asana integrates directly with AWS, Gemini, and Claude to automate that conversion.
• AI Teammates are first-party agents that take on and complete tasks inside Asana.
• These agents work in multiplayer mode — visible, collaborative, and team-correctable.
• A third AI unlock is coming: letting any external agent builder plug into Asana's interface.
• Asana runs entirely on AWS, including a new FedRAMP moderate GovCloud deployment.
• AWS Marketplace listings help customers transact faster using existing AWS credits.
• Arnab advises startups to bet on AWS long-term rather than chasing short-term LLM trends.
• His 2026 prediction: multi-agent orchestration standards will be the enterprise AI battleground.

Participants:

• Arnab Bose – Chief Product Officer, Asana

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 Detectify's hacker-DNA culture, multi-account AWS architecture, and Claude Code on Bedrock helped a lean security team deliver zero-day protection to customers before they even knew they needed it.

Topics Include:

• Haris Kabiljagić leads cloud operations, data, and scanning at Detectify.
• Detectify started in 2013 as a group of ethical hackers in Stockholm.
• The platform continuously scans customers' attack surfaces for exploitable vulnerabilities.
• A global community of elite ethical hackers feeds real-world payloads into the engine.
• Early on, a centralized cloud team caused over 40 service disruptions monthly.
• A multi-account AWS strategy via Control Tower eliminated disruptions entirely.
• The hardest part of decentralizing wasn't technology — it was the culture shift.
• Cloud ops had to evolve from gatekeepers into enablers of secure, fast deployment.
• Detectify's architecture runs on three pillars: scalability, event-driven services, and security.
• MSK and Amazon MQ replaced self-hosted RabbitMQ, enabling true event-driven microservices.
• AWS Security Hub provides a single pane of glass for security posture visibility.
• When the CAPS zero-day hit, Detectify delivered a live test to customers same day.
• Customers logged in braced for panic — and found the threat was already handled.
• AI-assisted development via Claude Code on Bedrock accelerated code migration 30x.
• The team moved from five modules per week to 150, without sacrificing review quality.
• Success is now measured by speed of remediation, not volume of vulnerabilities found.
• A new internal scanner lets customers protect applications before they ever reach production.
• Detectify's roadmap: make security effortlessly native inside the pipelines teams already use.

Participants:

• Haris Kabiljagić - Head of Developer Services, Detectify
• 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/