Services

Forward Deployed Engineering for real estate teams.

We work close to your asset, data, reporting, and operations workflows, then build maintainable systems around the way the business actually runs.

Work with me and AI

From one workflow to a durable system

The best service work does not end as a one-off project. It becomes clearer process, reusable software, and stronger operating memory.

Read notes

Included in every engagement

  • Embedded workflow discovery with business, finance, asset, and operations teams
  • System design for asset records, forecast logic, reporting, and review workflows
  • Maintainable TypeScript, Astro, Tailwind, and AI-ready implementation where useful
  • Reusable data, report, and product patterns that can become internal operating assets
  • Reviewable decisions, source, routes, data assumptions, and deployment boundaries
  • Small releases with handover notes, operating context, and future iteration paths

What Services add

  • A Forward Deployed Engineer who can work directly with real estate operators
  • Asset management domain patterns shaped by Amkit, DatumKit, and REITsKit
  • Practical AI integration where agents can assist without hiding responsibility
  • Reporting workflows for investment, budgeting, risk, portfolio, and deal review
  • A path from custom service work into reusable internal tools or productized systems

Get in touch

Share the workflow you want to improve. We will look for the smallest useful system to build first.

Who is this service for?

This service is for real estate companies that have important workflows trapped in spreadsheets, email threads, shared drives, manual reports, or vendor tools that do not fit the way the team actually works.

What does Forward Deployed Engineer mean here?

A Forward Deployed Engineer works close to your team, understands the operating context, and ships software around the actual workflow. The work is technical, but the starting point is business reality, not a feature list.

What can we build first?

Typical starting points include asset data cleanup, investment forecast workflows, budget and rolling forecast reviews, risk tracking, portfolio reporting, deal context, and AI-ready operating notes.

Can you work with our existing data?

Yes. The work can connect to your existing spreadsheets, databases, APIs, documents, and reporting exports. The first step is to define which source should be trusted for each decision.

Where does AI fit?

When AI is useful, it is added as a reviewable helper: summarizing context, preparing drafts, checking assumptions, or routing work. Humans keep ownership of direction, approval, and final decisions.

How should we start?

Start with one workflow that matters, one accountable owner, and one clear output. If the loop proves useful, the system can expand into a durable internal tool or a productized surface.