Justin JonesEnterprise AI & Automation

Enterprise AI & Automation Solutions

Find the friction. Build the system. Reinvest the time.

I focus on where AI and automation can materially improve how work happens: from identifying the right opportunities to designing workflows, governance, and operating systems that make the value real.

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Time Reinvestment Framework

Find the friction. Reinvest the time.

01

Latency

Find where work slows down, waits, or depends on manual intervention.

02

Visibility

Identify where teams lack the information required to act quickly.

03

Tasks

Break the workflow into repeatable decisions, actions, and handoffs.

04

Opportunity

Determine what should be redesigned, automated, or AI-enabled.

05

Automation

Build the workflow, controls, integrations, and operating system.

06

Reinvest

Return saved capacity to higher-value work and measure the outcome.

How I Approach the Work

The work can start with a single workflow, a broader operating challenge, or a question about where AI is actually worth applying. I generally approach it through three connected lenses: assess, build, and scale.

Assess

AI Opportunity Assessment

Identify where AI and automation can meaningfully reduce latency, manual work, operating cost, or decision friction.

What this producesOpportunity portfolio + prioritized roadmap
  • Current-state workflow and systems assessment
  • AI and automation opportunity identification
  • Prioritization by impact, feasibility, and dependency
  • Governance and rollout considerations
  • Implementation sequencing

Build

AI Workflow Design & Build

Turn repetitive operational work into practical automated and agentic workflows connected to the systems teams already use.

What this producesValidated workflow + implementation approach
  • Business requirements and workflow definition
  • Triggers, routing, actions, and field mapping
  • AI or automation prototype
  • System and collaboration-platform integration
  • Validation against real operating scenarios

Scale

Automation & Operating Model

Create the governance, ownership, enablement, and measurement required to scale AI and automation reliably.

What this producesScalable AI & automation operating model
  • AI quality and governance model
  • Operating roles and ownership
  • Release and certification processes
  • Enablement and adoption strategy
  • Usage and impact measurement

Transformation Leadership

Connecting strategy, systems, and adoption.

End-to-end perspective

AI transformation rarely succeeds as a technology project alone. I work across the decisions, workflows, systems, governance, and organizational behaviors required to move from an idea to something people actually use.

  • Opportunity and roadmap prioritization
  • Requirements and architecture translation
  • Workflow and prototype development
  • Governance and quality design
  • Executive and stakeholder communication
  • Adoption and impact measurement

The goal is not simply to introduce more AI. It is to create better systems for how work gets done.

Selected Outcomes

Built around measurable impact.

View selected work →
100+Automations and AI-enabled workflows delivered
20K+Hours of operational effort saved monthly
$18M+Operational efficiency influenced

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Have a process that isn’t scaling?

If you’re thinking through where AI, automation, or workflow redesign could make a meaningful difference, I’m always interested in comparing notes, exploring the problem, and talking through what a better system could look like.

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