From AI ambition to operational capability.

Soxoa helps organizations decide where AI belongs, deploy systems that hold up in real work, and build the internal capability to use them well.

Strategy and governance. Implementation. Training and adoption. Public-sector advisory. Connected from the start.

  • Evidence before momentum
  • Human accountability
  • Durable handoff
Operating capability recordOne accountable delivery thread
Active practice
Decide
AI strategy & advisory

Priorities, decision rights, operating model

Build
AI implementation

Evaluated system, workflow, handoff

Enable
AI training

Role-based curriculum, practice, playbooks

Govern
Government & public sector

Decision record, pilot evidence, transfer

Decisions remain traceable from first question through ownership.

One firm across the adoption curve.

AI strategy, implementation, and workforce capability fail when they are treated as separate projects. Soxoa keeps the decision, the system, and the people who will operate it in one frame.

01
Decide

AI strategy & advisory

Turn a broad AI mandate into a focused portfolio of decisions, use cases, controls, and next moves.

See our approach
02
Build

AI implementation

Evaluate, integrate, and deploy systems against representative work, with explicit success gates and human review.

Explore implementation
03
Enable

AI training

Give leaders and teams the judgment, methods, and operating habits to use AI well in the work they actually own.

Explore training
04
Govern

Government & public sector

Move from exploration to accountable adoption with mission outcomes, policy, acquisition, accessibility, and oversight in view.

Explore public-sector work

Serious AI work has a through-line.

The shape changes by mandate. The discipline does not: establish the decision, test the evidence, make the operating model clear, and leave the client able to own what comes next.

  1. 01

    Frame the mandate

    Name the outcome, accountable owner, constraints, and decisions that must remain human before choosing a tool.

  2. 02

    Validate the use case

    Test value, feasibility, risk, data, and operating fit against real or representative work.

  3. 03

    Put the system into operation

    Implement the smallest useful intervention, define exceptions, and make performance inspectable.

  4. 04

    Transfer the capability

    Train the people responsible for the result and leave behind the records, playbooks, and ownership model.

See how engagements move from question to operating reality

Public-sector AI has to carry its reasoning with it.

Soxoa helps government teams move from mission need to a documented decision—with use-case boundaries, evaluation criteria, human authority, and knowledge transfer visible.

Explore AI for government
Mission
What public outcome is supposed to change?
Authority
Who decides, reviews, overrides, and stops?
Evidence
What must a pilot prove before it proceeds?
Transfer
What does the agency need to operate it well?

Operating experience, made inspectable.

Soxoa's point of view comes from systems we operate, methods we publish, and years spent deploying technology inside consequential organizations.

Software we operate

Products are proof of practice—not the center of the firm.

MentionedOn and Intakra are live systems with published methods and inspectable outputs. They keep our implementation judgment close to production reality.

Inspect the software
Methods we publish

See how the reasoning works before an engagement.

Research, evaluation models, and clearly labeled fictional assessments show the assumptions, limitations, and gates behind a recommendation.

Senior-led from first decision through delivery.

The people framing the work stay accountable through implementation and handoff. Engagements are led by founder John Arndt, with more than a decade across AI, cybersecurity, fraud and risk, privacy, payments, and enterprise software.

Previously employed atPayPal · Cloudflare · Inscribe

Employment history, not a Soxoa client list.

Make the next AI decision hold up.

Bring the mandate, the workflow, or the capability gap. We will help define the right first move—and say when AI is not it.