Founder-led consultancy

Work directly with the person who designs and builds the solution.

EverythingAI is Tanner Rusher: one consultant for small and midsize organizations, on the systems they already run.

Fifteen years of real business systems

Tanner has spent approximately 15 years supporting real business technology environments: keeping systems available, administering Microsoft 365 and Entra ID, controlling identity and permissions, and building the integrations, APIs, and automations that connect one business system to another.

That background is why AI work here starts with access rather than with a model. An assistant that reads from a source the requester was never allowed to open, or an automation holding broader permission than its task requires, is an operational problem long before it is an AI problem. The applied AI work builds on the same discipline: least privilege, approved data sources, a person authorizing anything with consequences, and a record of what actually ran. That is the difference between a demonstration and something a business can rely on.

Where that experience applies

The work AI depends on is not glamorous. It is identity, permissions, connections, and the reliability of the systems people already use every day.

Microsoft 365 and Entra ID

Day-to-day administration of the platform most small and midsize organizations already run on: mail, files, collaboration, and the directory that holds every account and group.

Identity and permissions

Designing access so people and services reach exactly what their role requires. This is the control that decides whether an AI workflow is safe to run at all.

Systems administration

Running and supporting the systems business operations depend on, including diagnosing what broke, why it broke, and what it takes to restore service.

Integrations and APIs

Connecting business applications so approved context and actions move between them instead of being retyped by staff.

Automation

Turning repetitive, rule-based handling into reliable processes with defined failure behavior and a record of what ran.

Applied AI

Putting assistants, retrieval, classification, summarization, and drafting to work inside existing permissions and approval points rather than beside them.

How the work is delivered

Direct delivery is the entire model. Nothing is delegated to a larger team, and no scale is presented that the business does not have.

  1. Scope

    The person who reviews the workflow is the person who decides what is worth building and what should be left alone.

  2. Build

    The implementation is written and connected by the founder, so nothing is re-explained to a second team or lost between handoffs.

  3. Account

    After launch, the same person answers for how the workflow behaves and what changes when it needs to change.

What that oversight looks like in a live workflow is shown in the worked example: approved sources, existing permissions, a person approving the proposed change, and an audit record of the result.

Based in Jonesboro, Arkansas

EverythingAI is based in Jonesboro, Arkansas, and works with organizations locally, across Arkansas, and nationwide. Engagements can be delivered remotely or on-site when appropriate.

Talk with Tanner about the workflow you want to improve.

Describe the problem and the systems involved. The first conversation is a free fit check of 20 to 30 minutes, not a free technical assessment.