Atomicwork's Private CIO Dinner in Sydney: Small Room, Big Stakes
Atomicwork is hosting a private, invite-only dinner in Sydney on February 17, 2026 for CIOs and senior IT leaders. The format is intentionally off the record, with discussion focused on AI, intelligent automation, and the future of modern IT service management.
The signal is clear: employee expectations are rising, and IT is under pressure to deliver faster, AI-driven service experiences without sacrificing trust or control. This is less about hype and more about accountable outcomes.
Why this format matters
Peer-led, non-promotional conversations surface what surveys miss: where value is created, where projects stall, and what leaders are actually willing to fund. Off the record removes posturing and gets to the real blockers-data quality, policy, integration, and change fatigue.
For IT leaders, this is a chance to benchmark priorities and swap playbooks on what's working right now: agent assist vs. full automation, measurable service desk gains, and governance that doesn't slow the business to a halt.
Investor takeaway
This positions Atomicwork as a thought partner for enterprise technology leaders. Done well, it strengthens brand, feeds pipeline, and deepens access to decision makers. More importantly, it gives cleaner input for roadmap choices that mirror market demand, which can speed adoption in target segments.
The pressure points on CIO agendas
- Service speed: cut MTTR and ticket backlogs with AI assistants and smarter routing.
- Employee experience: consumer-grade support with accountability, not chaos.
- Data and risk: safe use of models, auditability, and vendor due diligence. See the NIST AI RMF for a useful baseline here.
- Integration: connect AI into ITSM, HRIS, identity, and collaboration tools without breaking workflows.
- Change management: re-skill service teams, update SOPs, and reset success metrics.
Questions worth bringing to the table
- Where has AI delivered measurable gains in ITSM within 90 days, and what made it stick?
- How are teams balancing agent-assist with full automation without creating shadow process?
- What data standards and access controls are required before scaling pilots?
- Which metrics actually move (FCR, CSAT/ESAT, MTTR, cost per ticket), and by how much?
- What procurement, legal, and security patterns reduce friction for AI vendors?
What to watch for after the dinner
- Clearer Atomicwork messaging around 2-3 proven ITSM use cases with quantifiable ROI.
- Signals of deeper design partnerships with large enterprises and advisory boards.
- Roadmap shifts toward data governance, safe automation controls, and faster integrations.
Next steps for managers and IT leaders
- Audit your service catalog for automation-ready requests (high volume, clear rules).
- Set a 120-day AI pilot with a tight success definition and one process owner.
- Baseline KPIs now so gains are obvious later (MTTR, backlog, CSAT, agent handle time).
- Create a lightweight policy for model use, data retention, and human-in-the-loop review.
- Level up team skills where gaps show-prompting, workflow design, and governance. A curated starting point by role is available here.
Small, focused executive forums like this work because they compress learning. The right five conversations can save quarters of trial and error-and point your team straight at outcomes the business will feel.
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