Sector 01
Law firms.
Firms making real AI investment decisions — practice-group modernization, knowledge systems, intake redesign — and looking for senior judgment rather than implementation theater.
Solutions
GeoForce Modernization Framework
A five-phase system for translating AI ambition into operational reality — built by operators who have actually shipped, not by generalists holding a deck.
01 / Who it’s for
Built for specific rooms.
Sector 02
Healthcare & benefits.
Organizations commercializing new clinical or member-facing surfaces under regulatory load — telehealth, behavioral health, plan operations. Where we have actually built and shipped.
Sector 03
Professional services.
Mid-market firms whose competitive moat depends on judgment-intensive work — and who need to defend that moat against AI commoditization.
02 / Principles
Five commitments the system makes.
One — Same room
The people who diagnose the problem are the people who design the fix and the people who help you defend it. No handoffs.
Two — Force at the floor
Every outcome is measured at the level of the person doing the work — not at the level of the slide deck.
Three — Operator’s lens
We have shipped. That changes what we’re willing to recommend — and what we know not to recommend.
Four — Defensible math
Investments are sized against the outcomes they actually produce. Boards can defend what we recommend.
Five — Bounded engagement
Diagnostics in weeks; full engagements in months; never an open-ended retainer.
Start here
Start With the GeoForce Assessment
The GeoForce Assessment provides an initial evaluation of your firm’s readiness for AI, automation, and modernization initiatives.
03 / The five phases
Diagnose. Decide. Design. Deploy. Defend.
i
Phase 1 · 2–4 weeks
Diagnose — where you’re actually leaking value.
We start by mapping the gap between what your organization says it does and what it actually does on a Tuesday. Workflows, decision rights, technology surfaces, vendor commitments, change-readiness signals, and the work that quietly never happens. We talk to the people doing the work — not just the people sponsoring the initiative.
The output is a clear-eyed picture of where AI and operational change can actually move the needle, and — equally important — where it can’t. We are willing to tell you that the pilot you’re excited about is a distraction. Most consultancies aren’t.
- Output
- Operational diagnostic report & readiness scorecard
- Format
- Working sessions + interviews + a short written brief
- Decisions
- What’s in scope, what’s out, what to stop doing
ii
Phase 2 · 2–3 weeks
Decide — the 20% that produces the 80%.
From the diagnostic, we identify the small number of moves whose combined effect will produce the majority of the outcome you care about. This is the phase where most engagements over-deliver volume and under-deliver judgment. We do the opposite: a short list, defensible math behind each line, and a recommendation about sequencing that respects the operational reality of your organization.
Boards understand and approve what comes out of this phase. So do the people who will have to live with it.
- Output
- Prioritized investment plan with sequencing & ROI math
- Format
- Executive-ready brief + working session for the steering group
- Decisions
- What gets funded, in what order, against what outcomes
iii
Phase 3 · 4–8 weeks
Design — operating model and workflows.
We design the operating model, the workflow changes, and the technical surfaces required to deliver the prioritized moves. Crucially, we design around the people who do the work — not in spite of them. This is where most transformations quietly absorb the cost of poor adoption. We surface that cost early and design it down.
Where AI is part of the answer, we are specific: which models, which surfaces, which guardrails, which human-in-the-loop boundaries, and which measurements will tell you whether it’s working.
- Output
- Target operating model, workflow specs, AI-system architecture
- Format
- Design sprints with operators + functional leads
- Decisions
- What the work looks like once it’s redesigned
iv
Phase 4 · 8–16 weeks
Deploy — implementation with the principals in the room.
Deployment is where most engagements transfer to a delivery team and the original judgment evaporates. In our model, the principals stay in the room. We work alongside your operational, technical, and change leadership through implementation — sequencing pilots, training, communications, and the real-world adjustments that always emerge once the system meets the floor.
We will tell you when something we recommended is not working. That is uncomfortable. It is also the difference between a transformation and a press release.
- Output
- Working pilots, trained teams, instrumented workflows
- Format
- Hands-on engagement alongside your leadership
- Decisions
- What to scale, what to revise, what to kill
v
Phase 5 · ongoing through engagement close
Defend — adoption, governance, outcome measurement.
This is the phase most consultancies skip and most transformations need most. Defend is where the new system is hardened against organizational drift: governance routines that actually run, measurement that boards can read, adoption signals you can act on, and a clean handover to internal ownership.
We close the engagement with a written outcome report that can be defended externally — to a board, to a regulator, to a partnership, to the next CEO. That document is part of what you’re paying for.
- Output
- Governance routines, outcome dashboard, written close-out report
- Format
- Operating cadence with your team through handover
- Decisions
- How the organization owns the change going forward
04 / Why a system
Most AI initiatives don’t fail at strategy. They fail at operations.
Walk into any law firm, healthcare organization, or mid-market professional-services firm right now and you will find an AI initiative on the roadmap. You will also, with depressing reliability, find that it has not moved. The pilot is in a corner. The committee meets monthly. The vendor demos were impressive. Nothing has actually changed for the person doing the work.
This is not a strategy problem. The strategy is usually obvious to anyone who has been in the room. The problem is that the people who designed the strategy are not the people who have to live with it — and the people who have to live with it were not in the room when the decisions were made. Modernization fails at the seam between the slide and the floor.
The GeoForce Modernization Framework is our response to that pattern. GeoForce names the operating force behind every engagement — the disciplined application of senior judgment, operator experience, and outcome measurement at the level of the people doing the work. It is the force that carries modernization from the slide to the floor — and every phase of the framework is engineered to apply it.
It is a system we built from inside-the-room experience: frontier product leadership at Capital One (three U.S. utility patents in mobile identity, biometric authentication, and account security), economic and labor-market research at Cornell ILR, $1B+ in real-estate transactions, and operational leadership through law-firm mergers and regulated healthcare delivery. It is not a methodology we read about. It is the way we work.
05 / FAQ
Questions, plainly answered.
Why GeoForce?
GeoForce names the operating force behind every engagement — the disciplined application of senior judgment, operator experience, and outcome measurement at the level of the people doing the work. It is the force that carries modernization from the slide to the floor, and every phase of the framework is engineered to apply it.
How is this different from a Big Four AI transformation engagement?
Big Four engagements are staffed by smart generalists who hand the work to a delivery team. GeoPoliticus engagements are staffed by the principal — an operator who has built and shipped products, advised at Cornell ILR, and led organizational change inside law firms, healthcare systems, and frontier-AI teams. Same room, start to finish.
How long does a full engagement take?
A diagnostic-and-decide engagement runs 6–10 weeks. Full design-through-defend engagements run 4–9 months depending on scope. We do not do open-ended retainers — the framework is bounded by design.
Who is this for?
Law firms, healthcare organizations, and mid-market professional-services firms that have an AI initiative on the roadmap and need senior-level operational judgment to actually move it. If your problem is finding a vendor, we are the wrong call. If your problem is deciding what the work should look like once a vendor is in, we are exactly the right call.
Why five phases instead of three or seven?
Because we have shipped this work before. Fewer phases skip the Defend stage — which is where most transformations quietly fail. More phases create theater. Five is the smallest number that includes all the work that actually has to happen.
Do you do implementation, or just the strategy?
Both. Phase 4 (Deploy) is hands-on implementation alongside your operational, technical, and change leadership. The principals stay in the room. Most strategy-only engagements collapse at the seam between deck and delivery; we built the framework specifically to remove that seam.
How do you measure success?
Every engagement defines its success measures at the end of Phase 2 (Decide), anchored to user-level outcomes — not activity metrics. By Phase 5 (Defend), those measures are instrumented and reported to the board. Success is whatever shows up in those numbers, in plain English.
Engage
The room where it actually moves.
Engagements are limited and selected for fit. If your organization is sitting on an AI initiative that hasn’t moved — or you need senior operational judgment to decide what to actually fund — start with a diagnostic conversation.
Measure My AI Readiness Meet the principals