How We Work

Three Ways to Put AI to Work, Built for Your Firm.

Three ways to put AI to work

01
AI Strategy
Advisory & enablement

Find Where AI Actually Pays Off.

We map how the work actually gets done, then find where AI adds real speed and quality without breaking process - so the AI you already license becomes operating leverage instead of shelfware.

  • Workflow design - where AI adds speed without breaking process
  • License adoption - real value from Claude, ChatGPT, Copilot, Gemini
  • Executive education - where AI creates leverage, where humans stay
  • Governance & safe use - inside your policies, data rules, and controls
Turn Your AI Into Leverage
02
AI Training
The CRE AI Course, pipeline-wide

AI Across Your Whole Deal Pipeline.

A hands-on course for the people who run deals, not engineers, drawn from experience helping build AI automation at national scale inside one of the largest commercial real estate companies in the world. You learn it on Claude as the foundation, and the same skills carry into the ChatGPT, Copilot, and Gemini you already use.

  • Built for deal people - no coding or engineering background needed
  • Claude as the foundation - the same skills carry into ChatGPT, Copilot, and Gemini
  • The full pipeline - lead gen and marketing through underwriting, diligence, asset management, and much more
Coming Soon
Flagship
03
AI Development
Custom AI employees

The AI Employees That Run the Work.

ARC builds custom AI employees that run end-to-end workflows for the teams whose time is most expensive - they do the work and hand back a finished deliverable in your templates, on your cadence, every number traced to a source.

  • Enterprise-grade security - the work runs inside your own environment, and nothing you send is used to train any model
  • A specialist for every step - the model strongest at each task does that task, instead of one generalist doing all of them adequately
  • No variable costs - no usage meter, no per-seat charge, the busy month costs the same as the quiet one
  • Finished deliverables - in your templates, on your cadence, every number traced to a source
  • You own everything - the outputs, the data, and the environment stay yours
Build a Custom AI Employee

How We Engage

Conversation to Pilot to Embedded Pipeline.

Live in 5-15 business days

01

Conversation

We sit with the team that owns the work and capture the rulebook, templates, and voice - from a live example.

02

Pilot

A first pipeline against a real deliverable - actual output on your data, not a demo.

03

Embed

We productionize on your stack or ours, then stay on as the operator behind it - not a team you chase.

Start Here

Bring One Deliverable. We'll Show You the Pipeline.

A short call is enough to map the workflow end-to-end. You leave with a clear view of whether ARC fits the work and what the first pipeline would look like.

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