Axiom & Arc← Consulting services

Axiom & Arc consulting service · Three-to-eight-week sprint

AI, Automation & Process Improvement

An evidence-led path from workflow pain to governed opportunity across generative AI, agentic AI, workflow automation, process mining, and process redesign.

A designed client engagement with a defined method, tangible work products, and a practical path to internal ownership.

Discuss the mandate
Engagement principle
Begin with the work and value case—not the novelty of the tool.

When this fits

The organization has AI and automation ambition but lacks a structured opportunity portfolio, business requirements, value hypotheses, governance, adoption planning, or a credible route from pilot to scale.

Why this Axiom & Arc design performs better

Designed around the decision and the value—not the ritual.

What conventional approaches miss

Tool-led programs begin with a platform or impressive demo, then search for a workflow, value case, control model, and willing users after the pilot is already underway.

How this service is designed differently

This Axiom & Arc design begins with workflow evidence and SME knowledge, then converts the opportunity into requirements, value hypotheses, feasibility criteria, governance, adoption, and a defensible scale decision.

Relevant anonymized evidence from Brooke’s prior career

A related global process and automation framework produced a business case projecting $2M+ in five-year value, including $500K in first-year cost avoidance.

Presented as Brooke Arent’s professional experience prior to founding Axiom & Arc LLC—not as an Axiom & Arc client engagement.
01

Discover

Map workflows, pain points, handoffs, data requirements, controls, users, and value pools with business and technical SMEs.

02

Prioritize

Score opportunities by value, feasibility, risk, time-to-value, adoption complexity, and strategic alignment.

03

Mobilize

Define requirements, pilot scope, governance, success metrics, delivery roles, change plan, and scale decision.

Core deliverables

The evidence leaders need to act.

  • AI and automation opportunity map
  • Prioritized use-case portfolio
  • Value case and feasibility criteria
  • Product requirements and pilot roadmap
  • Governance and risk controls
  • Adoption and scale plan

Ready to define the first move?

Begin the conversation