AI Consulting

What AI consulting means at Interface

A marketing director weighing an AI pilot, or a principal deciding whether to let a project manager automate the firm's job board, is making a decision with real stakes: brand reputation, client trust, and staff time, not just technology. Interface works through that decision with a client, then designs, orchestrates, and deploys the solution that actually fits their business. There is no fixed package, because no two firms lose time in the same places or run the same systems.

Envoy and its Intelligence view are proof that Interface can do this work: tools the firm built for itself before offering the same judgment to clients.

How an engagement works

It starts with an assessment and a conversation: where the client's team loses time, what systems and material they already have, and where AI fits, or does not.

From there, Interface designs the solution around the tools and people already in place, rather than asking a firm to adopt something unfamiliar end to end.

Then Interface builds and deploys it, with a person reviewing AI output before anything goes live.

Advice always leads to something built. Interface does not sell strategy decks with no build attached.

The kinds of AI work we take on

The work changes with the client, but it tends to fall into one of five categories.

Video

AI-generated and AI-assisted motion, built from a client's real material. For Hartman Design Group, Interface produced an AI-generated before-and-after transformation video of a redesigned interior, built from the real before and after images. For Monday Properties, Interface animated an existing architectural rendering so it moves as the visitor scrolls.

Rendering and visualization

Interface's artists use AI for mood and concept variations, masking, upscaling, and background fills, and to explore styles quickly. The craft and the judgment stay with the artist; AI changes how fast an idea can be tested, not who decides it's right. That is true whether the deliverable is a single concept image or a full renovation sequence.

Data migration

Moving content and records between systems without losing what matters in the move. For R&R Contracting, Interface migrated their website content from WordPress to Webflow, and moved their bid documents out of their old CRM and into monday.com.

Application development

Custom tools built with AI-assisted engineering, alongside Interface's senior team rather than in place of it. For R&R Contracting, Interface built a bid and proposal tool inside monday.com that fills in job details and wage rates and produces the finished PDF in one step.

Integration and automation

Connecting the systems a firm already runs, so information moves between them without someone re-entering it by hand. For VIKA, Interface built a jobs feed that keeps their careers listings in sync and syndicates them to Indeed. For R&R Contracting, Interface runs automations across their monday.com boards.

Every client is different

One client needed a proposal tool. Another needed a video. A third needed a jobs feed that updates itself. A firm that already runs monday.com needs something different from a firm just getting its CRM in order, and the brief should start from what exists, not from a product Interface wants to sell. Sometimes the right answer is not AI at all, and Interface says so before recommending work that would not hold up.

How we know this work

Interface designed, built, and runs Envoy, its own AI-assisted marketing platform for real estate and AEC firms, including the Intelligence view inside it, which measures how AI engines describe a firm. Interface also runs its own intelligent digital asset management platform, with AI models running on its own hardware.

Interface has brought AI into the studio since 2024, and builds custom software with it in days, not quarters.

How we keep AI work trustworthy

A person reviews AI output before it goes live. Interface never uses generative AI to depict a real, identifiable place; real places get real photography or Interface's own renderings. AI work is built to run with the client's existing systems and people, not to replace them. Those three commitments do not change by project size or client.