How the program starts.
The month one baseline is the first month of an ongoing program. We read how AI answer engines describe your institution today, check the seven areas that decide whether AI helps you or quietly exposes you, and give you one plan your board can act on. From there the program keeps that work current as the models change.
Want to see what a deliverable looks like? View a sample read →
Seven components. One clear read.
The month one baseline runs the Atlas AI Readiness Framework across the seven areas that decide whether AI helps you or quietly exposes you. We measure each one the same disciplined way, then build a plan that is specific to your institution.
Strategy and leadership alignment
Whether leadership shares a written, funded view of what AI should do, or whether it is still a hallway conversation.
Data readiness
Whether your data is clean, governed, and accessible enough to support the use cases you actually care about.
Technology and integration readiness
A review of your systems and stack, including AI capability you already pay for and underuse.
Governance and risk
The policy, model-risk, and third-party-AI documentation your board and examiners expect to see.
Use case prioritization
A shortlist of where AI earns its keep for your operation, tied to business goals, not vendor pitches.
Organizational adoption
Whether your staff are trained, guided, and set up to use the tools without creating new risk.
Measurement and optimization
How you will prove the ROI of an initiative to your board, with a baseline, an outcome, and the delta between them.
A plan built for you, not a template.
Every institution reads differently, so every action plan is different. You get a prioritized plan, a short list of initiatives worth funding, a clearer view of the capability you already own, and the evidence to defend all of it to your board, your regulator, or a partner.
Get your free AI visibility one-sheetPrioritized plan
What to do in the next 90 days, the next year, and what to revisit in two, sequenced so the next dollar goes where it moves the needle.
Initiatives worth funding
A short list of use cases that fit your operation, each with a reason it made the cut and a way to measure it.
Capability you already own
A clear view of the AI features already sitting in your vendor stack, so you stop paying twice for the same thing.
Board and examiner ready
Documentation written for the people who will ask hard questions, including the governance an examiner expects to see.
Scoped to your institution.
Every client is different, so we do not sell a one-size box. We measure the seven components the same disciplined way for everyone, then customize the action plan to what your institution actually needs to do to become stronger, safer, and easier to find when someone asks an AI about you.
The month one baseline is the first month of an ongoing program, scoped to your size and complexity. You start with a free AI visibility one-sheet, so you can see the value before you commit to anything. After the first month, the program continues month to month and keeps the work current as AI answer engines change.
You can pause the ongoing work whenever it stops earning its place. You keep the plan either way.
Built for credit unions, banks, and law firms.
Credit unions
The program speaks NCUA. Governance documentation, board-ready framing, and a read on where AI fits a member-owned institution, from someone who spent 13 years inside one.
Community banks
The same disciplined assessment framed for OCC and FDIC expectations, with a plan your examiners and directors can follow.
Law firms
For mid-market and larger firms working through AI adoption, governance, and the questions clients and bar associations are starting to ask.
Before you start.
How does a program start?
It starts with a free AI visibility one-sheet, then a month one baseline. The baseline reads how AI answer engines describe your institution today, checks the seven readiness areas, and gives you a prioritized plan. From there the program keeps the work current month to month.
How long does the first month take?
The month one baseline is built inside the first month for a single-charter credit union, community bank, or fintech. That includes the read, a prioritized plan, a vendor shortlist for the highest-leverage use cases, and board-ready documentation. Larger or multi-charter organizations scope longer.
What do we need to provide?
Workshop time with the right people, access to the relevant systems under NDA, and a named point of contact to keep things moving. The work is designed to sit lightly on your team. Most of the effort is on our side.
What happens after the first month?
The plan is yours to keep and act on. The program then continues month to month, tracking how AI describes you, updating the plan, and doing the work that keeps you visible and accurate as the models change. You can pause the ongoing work whenever it stops earning its place.
Ready for a clear read on where you stand?
Tell me about your institution. I will send your free AI visibility one-sheet and show you how the first month would work.
Get your free AI visibility one-sheet