TARX AI CONTROL SPRINT

Controlled AI workflows for teams already using AI.

Most teams are already using AI across documents, research, operations, sales, creative work, and code. TARX helps identify what should become private, repeatable workflows - and what should stay lightweight.

Limited sprint capacity. Designed for teams that need AI inside real work.

Built for founder-led teams and operators

Focused on privacy, memory, tools, and workflows

Designed from TARX's local-first AI model

Your team is already using AI. Is anyone in control?

AI is already entering documents, research, sales, operations, creative work, code, and internal decisions. Most teams cannot clearly answer what data is going in, what is being remembered, which tools are connected, where credentials live, or which workflows are worth formalizing.

  • Scattered prompts across tools
  • Sensitive data in uncontrolled surfaces
  • No memory boundary
  • No credential boundary
  • No repeatable workflow system
  • No owner for AI operating policy

The TARX AI Control Sprint

A focused engagement to audit current AI usage, identify high-value workflows, map privacy and credential boundaries, and implement the first controlled workflow system.

Audit

Map where AI is already being used, where time is being lost, and where risk is emerging.

Design

Define the prompts, agents, tools, memory boundaries, and workflow patterns worth formalizing.

Implement

Build or specify the first controlled workflows and leave the team with a usable operating plan.

What you leave with

AI workflow audit
10-20 workflow opportunity map
Memory, Vault, and credential risk map
3 priority workflow prototypes or specs
Prompt, agent, and tool operating playbook
30-day rollout roadmap

Choose the right starting point.

5 business days

AI Control Audit

For teams that need clarity fast.

10 business days

AI Workflow Sprint

For teams ready to implement first controlled workflows.

30 days

Private AI Operator Sprint

For teams that want a private AI operating layer across real workflows.

Field notes

Short thinking from the TARX operating model.

FAQ

Is this a TARX product implementation?

It can be, but it does not require a full TARX deployment on day one. The sprint maps and implements controlled workflows now, with a path toward TARX where it fits.

Is this an AI agency?

No. This is a focused implementation sprint from TARX. The goal is to give your team an operating layer, not become your outsourced AI department.

Who should be involved?

An operator, a decision-maker, and one technical or systems owner.

What workflows are best for this?

Research, internal knowledge, sales prep, client work, operations, reporting, code review, creative production, documents, and recurring decision support.

How fast can we start?

Qualified teams can usually begin after a fit review, scope agreement, and payment.

If AI is already touching your work, control it now.

Request a review. We will look at where your team is already using AI, where risk is emerging, and which workflows are worth formalizing first.