AI Agent Readiness · Systems Studio
AI agents are reaching into critical systems and data.
We address the exposure before it takes you by surprise.
AI agents no longer just answer questions. They read data, call tools, and make decisions, which changes what can go wrong. We are an independent studio that finds where that leaves you exposed, then builds or brings in the right fix.
A complete, attributable record of every agent action. That is the standard we help you meet.
01 / The gap
Using AI does little to prepare your operation for the AI future.
The early AI conversations are about adoption: which model, which use case, which pilot. Next comes what an agent can reach, who approved that access, and what to do when something goes wrong.
/ SECURITY
Agent security
An agent that acts is a new kind of attack surface, and the attack rarely looks like hacking. It looks like conversation: a message crafted to convince the agent it is talking to an administrator, or a planted document that quietly rewrites what it believes. The target is the agent's judgment, not your code, which is why one test prompt will miss it. Pressure-testing an agent the way a real adversary would, before one does, shows where it holds, where it breaks, and therefore what needs to be improved.
/ ACCOUNTABILITY
Data and decision accountability
Agents don't just read data, they act on it, and both sides need a record. Accountability means you can reconstruct, after the fact, what an agent accessed and under what terms, and what it decided, on what basis, with whose approval. When data carries traceable terms, it becomes an asset you can govern, license, and stand behind. When decisions carry their rationale and an owner, an autonomous action stops being something you have to take on faith. Without either record, you are left with activity no one can account for.
02 / Where this applies
Different businesses, the same situations.
Customer-facing agents
You're about to let an AI agent talk to customers or handle their requests, and you're not certain what it could be talked into doing.
Agents with internal access
Your agents can already reach internal tools, files, or data, and no one can produce a clean record of what they've touched, what decisions were made, or who approved them, whether intentionally or inadvertently.
The speed-versus-safety standoff
Leadership wants AI moving faster, and security or legal wants it to slow down. We give both sides a straight read on what's real so the team can move towards a decision.
Systems built with AI tools
Something now in production was built quickly with AI coding tools, and you want a second set of eyes before it turns into a liability.
03 / How we work
Diagnose -> Solve -> Implement
Step 1
Diagnose
We map how your business uses AI and agents today, or plans to: which systems, which data, which customers, and where that creates risk or unrealized value.
Step 2
Solve
We figure out what fits: Solutions off the shelf, tools already in your stack, something new that we build, or take an approach that uses no AI at all.
Step 3
Implement
You get a plan in priority order: what to do first, what can wait, and what each step takes.
04 / What you get
The AI Systems Blueprint
A fixed-scope engagement. We learn your business, examine the system(s), and deliver your blueprint: where you stand and what to do about it, in priority order. Implement it yourself, or have us implement it with you. Business value and system integrity on the same page.
- Preparation before we meet. We research your business and industry so our time together goes straight to what matters.
- Guided intake. You walk us through your business in a conversation, or by form if you prefer, and add what we can't find on our own.
- A focused working session to go deep on your operations and where AI already reaches into them.
- Analysis. We turn the intake, the session, and our research into a clear read on where you stand.
- Your written blueprint: an exposure map, a clear read on where you stand across security, data accountability, and operations, and recommendations in priority order, AI and otherwise — ready for your team to execute, or for us to implement with you.
Fixed price
$3,500 USD
One engagement, one clear deliverable. No hourly meter, no obligation to buy anything afterward.
Enterprise scope: multiple business units, regulatory exposure, or a complex systems estate. Quoted per engagement.
Start your Blueprint05 / Common questions
What is AI agent security?
AI agent security is the practice of testing and hardening AI agents against manipulation. Unlike ordinary software, an agent can be steered by normal-looking input, convinced it holds authority it never had, or fed content that changes what it does. Securing one means probing it the way a real attacker would, then closing the paths that let a prompt turn into an action.
What is the AI Systems Blueprint?
It is a fixed-scope engagement that ends in a prioritized plan. We take a holistic approach, examining every operation as if it were our own — from business value to system integrity — and deliver a blueprint your team can execute itself, or have us implement with you.
How do you audit what an AI agent has done?
We check whether every action an agent takes leaves a usable record: what it accessed, under what terms, what it decided, on what basis, and who approved it. Where those records are missing, we show the gap and how to capture it, so an autonomous action can be reconstructed instead of taken on faith.
Do we need this if we only use chatbots or copilots?
If an AI tool only answers questions and touches nothing else, the risk is low. Once it can read your data, call tools, or act on your behalf, the exposure changes, and most copilots are moving in that direction. The Blueprint will tell you where you stand.
What does it cost, and how long does it take?
The AI Systems Blueprint is a fixed 3,500 USD for standard engagements. Enterprise engagements, for multiple business units or regulated environments, are quoted per project. Timelines are set before any work begins, and there is no hourly billing.