The Shadow Stack: the AI your team already runs
Why three AI subscriptions on three different cards is a data-governance problem before it's a productivity one.
ReadYour team is already using AI. The only question is whether you adopt it on purpose.
One path, three phases. Start where you are and ladder up as it pays off — no long contracts to find out if it works, no tooling decisions before the strategy.
We map the business, stand up a private AI environment, and put a Chief-of-Staff agent on your operator's machine in week one. Roadmap on the table by week four.
We build the AI agents that automate the bottlenecks the Root phase uncovered — quoting, onboarding, dispatch, reporting, intake — and train your team to own them.
We tune and evolve what's deployed so AI becomes how the business runs, not a project that fades. Quarterly roadmap refresh, new agents shipped every quarter.
Outcome first. Mechanism second. Tooling third — always in that order.
I'm Jason Evans, founder of Phoenix Tree. I spent more than twenty years building enterprise cybersecurity and AI programs inside large organizations — not an IT shop learning AI on the side.
Phoenix Tree brings that same discipline to Central Texas businesses, with the founder in the room every step. No account-manager layer, no ticket queue — you get the person who built the playbook. Strategy before tools, always.
I started Phoenix Tree because most businesses don't need another vendor patching laptops. They need someone who can sit across the table, translate what AI can and can't do, and tie it to the numbers that matter — revenue per employee, hours recovered, profit margin held.
So the work runs in that order: strategy first, security from day one, tools last. Your data stays in private environments and never trains public models. You get a written plan your team will actually follow — and an advisor who picks up the phone.
We're rooted here on purpose: Williamson, Bell, Lampasas, and Burnet counties. When something matters, we're already nearby.
Two decades building security and AI programs inside enterprise teams — applied at SMB scale.
Four counties, exclusively. Hyper-local by design, so we're present when it counts.
Every engagement led by Jason directly. The person who built the method is the person you work with.
Practical writing on adopting AI on purpose — security, governance, and the workflows worth automating first.
Five high-friction operational workflows you can safely automate this quarter — with the governance to keep your data out of public models.
Get the guide →Why three AI subscriptions on three different cards is a data-governance problem before it's a productivity one.
ReadHow one well-scoped agent turns a half-day quoting cycle into minutes — without losing the human sign-off.
ReadThe four-week discovery that decides what to automate — and, just as importantly, what to leave alone.
ReadA 30-minute call. No pitch, no pressure — an honest read on where AI moves the needle in your business, and where it doesn't.