01 — ENTERPRISE STRATEGY
Most enterprise AI strategies stall at the pilot. We make sure yours doesn't.
Vendor-neutral AI strategy for large organizations — opportunity mapping, governance, build-vs-buy, and the executive alignment that actually gets a rollout funded.
Who this is for
AIAUTOMIC works with CIOs, Chief Product Officers, and transformation leads at organizations that have already run an AI pilot or two — and are now stuck on the harder problem: turning scattered experiments into a governed, funded, enterprise-wide capability.
Good fit
- Executive sponsorship and real budget to move, not just curiosity
- Juggling multiple vendor pitches and need a neutral read on build-vs-buy
- A pilot that works but can't get funded past a single team
Not a fit
- Looking for a slide deck with no follow-through
- Not yet ready to make a decision on AI investment
- Want a single vendor's product pushed on you — AIAUTOMIC doesn't sell or resell software
The problem
Every large organization we talk to has the same shape of problem: pockets of Generative AI experimentation running in different departments, no shared governance model, and an executive team that's read the headlines but can't yet say what AI actually means for their P&L. The pilots that do work rarely make it past a single team, because nobody owns the harder questions — what to build, what to buy, who governs it, and how to prove it's working.
What the engagement includes
AI Opportunity Map
A structured audit of where AI can realistically move the needle in your business in the next 12 months, ranked by effort and impact — not hype.
Build-vs-Buy Assessment
A clear-eyed comparison of building in-house, buying a platform, or partnering — with the trade-offs made explicit for your specific stack and team.
Governance Framework
Who approves what, how models and data get reviewed, and how the organization stays ahead of the compliance curve instead of scrambling to catch up.
Executive Alignment Workshop
A working session with your leadership team to convert the roadmap into a funded mandate — not a document that sits in a shared drive.
Why AIAUTOMIC
"This isn't advice from someone who has only read about enterprise AI. I've shipped it — inside one of the largest enterprise platforms in the industry."
As Principal Product Manager driving the "Native AI" strategy at ServiceNow, I owned the end-to-end lifecycle of NowLLM and shipped Now Assist capabilities like Text-to-Workflow and ITOM Alert Summarization into production — used by enterprise customers to cut Mean Time to Resolution, not just as a demo. Before that, I took an AIOps platform to the Microsoft Azure Marketplace and sat across the table from Gartner and Forrester analysts. I know how enterprise AI actually gets evaluated, bought, rolled out — and killed. That's the difference between a pilot that stalls and AI that becomes how your organization works.
Engagement model
Engagements typically start with a 2–3 week diagnostic, followed by a roadmap and governance sprint, and close with the executive alignment workshop. From there, some clients bring me back for ongoing advisory support through the first one to two quarters of rollout. Every engagement is scoped to your organization — book a call and we'll figure out the right shape together.
Common questions
We already have an internal AI team — do we need this?
Often, yes. Internal teams are usually deep in technical execution and don't have the bandwidth for governance, vendor-neutral evaluation, and executive alignment. This engagement is built to sit alongside your team, not replace it.
Do you sell or resell any AI platforms?
No. AIAUTOMIC doesn't take referral fees or resell software from any vendor. The build-vs-buy recommendation is based only on what's right for your organization.
How fast can we start?
Most engagements can kick off within one to two weeks of the first call.
Latest thinking
Why 95% of enterprise AI pilots stall — and what the other 5% do differently
MIT put a number on what every executive already feels. The failure isn't in the models.
The Enterprise AI Readiness Blueprint: five questions before your next AI budget
A vendor-neutral readiness check you can run internally, freely — scoring guide included.
Agentic AI in the enterprise: separating the real shift from the agent-washing
Three tests to hold vendors to, and the token economics nobody demos.
Ready to stop pitching AI internally and start shipping it?
One call — bring your current AI initiatives and we'll tell you plainly where the gaps are, before you spend another quarter on pilots.
Opens our scheduler in a new tab — mention “Enterprise Strategy” when asked what you’d like to discuss.