Housing Automation Ai

The technology

Insource Ai's applied Ai and automation, pointed at the design and project management of housing development.

One connected process from raw land to certificate of occupancy

Housing development is usually a chain of separate firms handing work to each other. Housing Automation Ai runs it as one process. Here is each stage, what is automated, and where licensed professionals and skilled trades stay in charge.

  1. Site and feasibility

    Zoning, setbacks, massing, unit mix, and a pro forma for a site in hours instead of weeks.

    Automated

  2. Design configuration

    A proven building design from the typology library, configured to the site. Schematic design starts from something that already works.

    Professionals direct

  3. Code pre-check

    Plans checked against building, accessibility, and zoning codes before submission, so rejection loops are caught in the office, not at the permit counter.

    Automated

  4. Construction documents

    Produced under the architect and engineer of record, who direct the work from the start and stamp what they produced. The Ai is their instrument.

    Professionals in charge

  5. Permitting

    Submissions, review comments, and corrections tracked and turned around quickly.

    Professionals direct

  6. Construction management

    Scheduling, takeoffs, procurement, change orders, and progress tracking handled by a construction management platform now in development, so the people on site can focus on building.

    Humans supervise

  7. Build

    Skilled trades under human supervision. Each project's actual costs feed back into the library, so the next one is cheaper.

    Human trades
The document set the process produces Five overlapping drawing sheets labeled code summary, site plan, unit plans, structural framing, and mechanical, each with a title block. G-001 · Code summary A-101 · Site plan A-201 · Unit plans S-101 · Structural framing M-101 · Mechanical stamped by the professionals of record
The output is an ordinary, complete document set: code summary, site plan, unit plans, structural, mechanical, electrical, and plumbing, plus the pro forma, schedule, and takeoffs behind them.

What the process produces

Not a black box. The same drawings, calculations, and schedules a development team produces today, coordinated with each other because they came from one model instead of five firms, and stamped by the architect and engineer of record who directed the work.

Because the building comes from a typology library, most of the document set is configuration rather than invention. That is what makes the work fast, and it is also what makes it checkable: every sheet traces back to a design that has been built before.

What the numbers say

Materials and labor are the largest share of what housing costs, and the hardest to change. Regulation, delay, rework, and a sector whose productivity barely moves are the share a better process can actually reach.

  • 60%+

    of a project's total cost is materials and labor. Hard to move. The rest is land and process.

    Terner Center, UC Berkeley, 2020
  • 40.6%

    of multifamily development cost goes to complying with regulation at every level of government.

    NAHB and NMHC, 2022
  • 7.4 months

    average delay when a project meets neighborhood opposition, which also adds 5.6% to its cost.

    NAHB and NMHC, 2022
  • 9%

    median cost of rework on a construction project once indirect costs are counted. Design errors are a leading cause.

    Navigant Construction Forum
  • 1% a year

    construction labor-productivity growth over two decades, against 3.6% a year in manufacturing.

    McKinsey Global Institute, 2017

Professional fees themselves are a small slice. Redesign after plan review, handoff friction between firms, errors that reach the field, and the interest that accumulates while a project waits are a much larger one. Those are what the automation removes. Licensed architects and engineers, and the trades who build, remain essential; the process stops wasting their time.

Built on Insource Ai's housing platforms

Housing Automation Ai is built on Ai-native platforms from Insource Ai. Each works like a junior assistant: the architect, engineer, or project manager gives the instructions, the platform does the work, and it learns from every project how that professional and their firm do things. A companion platform for construction management is in development.

HousingData.com

Housing market data from federal sources, national to neighborhood, for site selection and feasibility.

HousingModel.com

Feasibility, pro forma, schematic design, and construction documents in one platform, built for the licensed professionals who use it.

InsourceArchitecture.com

An Ai-native platform for architects: given instructions, it does much of the design work from schematic design through construction documents, and learns how the architect works. In development.

InsourceEngineering.com

An Ai-native platform for the engineering work, starting with structural engineering, built the same way. In development.

Inside the platforms

HousingData screen
HousingData.com: housing market data from national to neighborhood.
HousingModel screen
HousingModel.com: feasibility through construction documents.