AI Workflows

The tool worked once.
Then it gave you
something different.

AI workflows built inside your practice — for interior designers, construction managers, and real estate professionals. We build the pipeline, run it with your team, and hand you the keys. You own it when we leave.

What this is

We build the workflow.
You keep it.

Most AI disappointment isn't a tool problem. The tool is usually fine. What's missing is the workflow around it — how context carries between steps, how you get the same result twice, how a junior team member runs it without you standing over their shoulder.

That's the work. We sit down with how you actually produce your deliverables, find the step that's eating your week, and build a repeatable pipeline for it inside the tools you already have. Then we run it alongside your team until they don't need us.

We are not a production service

We don't want to become the vendor you send renders to every Friday. We build the capability inside your practice so the work stays yours — faster, consistent, and under your control.

  • Built in the tools you already pay for wherever possible
  • Documented, so it survives staff turnover
  • Run with your team, not demoed at them
  • Yours to keep, modify, and extend after we're done
  • No ongoing license, no per-seat fee, no lock-in to us

The pattern we keep seeing

"It's inconsistent"
Every session starts from scratch, so no two outputs match. Usually a context problem, not a tool problem.
"Only I can do it"
One person has figured out the magic words and nobody else can reproduce them. That's a workflow that doesn't exist yet.
"We bought the wrong tool"
Sometimes true. More often the third tool fails the same way the first two did, for the same reason.
"Just build an agent"
The reflex when a task is repetitive. But an agent you can't predict is a task you now supervise instead of do. Get a workflow that produces the same thing twice first; automate the parts that have earned it.

In practice

The tools were there.
The workflow wasn't.

AWolfDesign, a Washington interior design studio, was generating AI renderings for client presentations and getting a different room every time they changed one thing. Move a pendant light, and the cabinetry changed too. Every iteration meant starting over, and every client meeting meant rebuilding the whole set by hand, questioning the value of moving from a known, yet labor-intensive manual process to AI.

They assumed they'd bought the wrong tool. They hadn't. Nothing was carrying context from one prompt to the next — so the model was answering a brand-new question each time.

We built a pipeline that starts from their source plans, materials, and elevations instead of a text description, holds the room constant, and changes only the thing they asked to change. Their team runs it themselves now. Same room, same light, every time — and iterations that used to take an afternoon take minutes.

Talk through a workflow like this →

Before → after

Before
Renderings inconsistent between sessions. Every lighting change meant a full restart. Each presentation rebuilt from scratch.
What we built
A model-driven render pipeline with persistent context and a structured iteration protocol. No new software purchased.
After
Reproducible results across any room. The team self-services. Time to delivery down; client satisfaction up.

How it works

Four steps, and then we're
out of your way.

01

Start with what you have

We start with your goals and the way work actually moves through your shop today — your tools, your files, your habits. The step worth automating is rarely the one people guess.

02

Build the pipeline

We build it in your tools, with your files, on your machines. If a new tool is genuinely needed we'll say so — and say why the ones you have won't do it.

03

Run it together

Your team drives on real projects while we're still in the room. This is where the guardrails get set and the edge cases show up.

04

Hand it off

Written documentation your team can follow without us. You own the workflow outright. We're available afterward — but you shouldn't need us.

Who this is for

Practices where the deliverable is visual, repetitive, and never quite the same twice.

Interior Design

Studios presenting concepts before they're built

Renderings, material boards, and client presentations that have to stay visually consistent across a dozen revisions and three rooms.

Common workflows

Model-driven rendering with consistent lighting
Iteration without starting over
Presentation assembly from project files

Construction Management

Teams buried in project documentation

The paperwork around the build — scopes, logs, correspondence, close-out packages — where the information already exists and someone still retypes it.

Common workflows

Document drafting from existing project records
Summarizing long correspondence threads
Consistent client-facing project updates

Real Estate

Agents and brokerages producing for every listing

The same package of marketing material for property after property, where quality has to hold up and the turnaround is always yesterday.

Common workflows

Virtual staging of empty rooms
Listing and marketing copy at consistent quality
Repeatable per-listing marketing packages

Not on this list? The pattern — a visual or written deliverable you rebuild by hand every time — shows up in a lot of trades. Ask.

Pricing

Two engagement models.
One free conversation first.

A fixed price when the scope is a build, hourly when it isn't. You'll know the number before anything starts — and if the honest answer is that you don't need us, we'll say that instead.

See full pricing →

What it costs

Automated rendering pipeline
One workflow, one day on-site, 8 hrs follow-up
$1,500 flat
Consulting & workflow work
No retainer, no minimum
$120/hr
Initial conversationFree

A separate practice

Looking for AI training, policy, or board-level guidance?

That work lives at Lansby — a separate practice Alan co-founded for AI governance, education, and advisory with mission-driven organizations. If your question is "how do we think about this as an organization" rather than "can you build this workflow," that's the better door.

Honest comparison

What you get with EDH vs. the alternatives.

Evergreen Data Harbor

You own the workflowBuilt in your tools, documented, yours after we leave.

Diagnosis before toolsWe'll tell you when the answer is "your current tool is fine."

Thirty years in data infrastructureSomeone who has shipped production systems, not a prompt hobbyist.

Local and reachableSpokane-based. A real phone number and the person who did the work.

Fixed scope, quoted firstYou know the number before anything starts.

The usual options

Production vendorsSend files, get files back. The capability never enters your practice, and the invoice never stops.

Another agent or SaaS tool to learnA new tool that fails the same way the last one did, plus a monthly bill.

Figuring it out yourselfWorkable, and expensive in the only resource you can't buy more of.

Enterprise consultanciesPriced for organizations with an IT department, and scoped for them too.

Open-ended retainersBilling that grows with confusion rather than shrinking with progress.

Where we stop

A short list of things we won't sell you.

Being clear about the edges is faster for both of us, and it's the reason our clients believe us when we say something will work.

  • Ongoing production — we build the capability, we don't become the render department
  • Ingesting, auditing, or training models on your client data
  • Organizational AI policy, governance, or board enablement — that's Lansby
  • Custom software products or applications built from scratch
  • Enterprise-scale rollouts and IT integration

The measure of a good engagement

"Six months later, they're still using it — and they've changed it twice without calling us."

We build capability in your team, not dependency on ours. If a workflow only works while we're standing next to it, we didn't finish the job.

Questions

Things people ask us.

Do we have to buy new software?

Usually not. Most of the engagements we've run were built on tools the client already had. If something genuinely needs to be added, we'll tell you what it costs and why the alternative doesn't work — before you commit to anything.

What happens to our client data?

We don't ingest it, audit it, or train anything on it. We work with the files needed to build and test the workflow, in your environment where possible, and nothing is retained afterward. Where a workflow touches sensitive material, setting that boundary is part of the build.

How long does an engagement take?

It depends on the workflow, and we'll give you a real answer after the first conversation rather than a range on a website. A single well-defined workflow is typically a matter of weeks, not months, with your team using it before we're finished.

What if we just want the renders done?

Then we're probably the wrong fit, and we'll say so and point you at someone better suited. Our value is in making your team faster at work they already own — not in doing that work for them indefinitely.

Is this the same thing as your AI coaching?

No — and the split is deliberate. Training, curriculum, AI policy, and leadership enablement now live at Lansby, a separate practice Alan co-founded. What stays here at Evergreen Data Harbor is hands-on workflow building for design, construction, and real estate.

Do you work outside Spokane?

Yes. Workflow builds work well remotely, and we serve clients across Washington. We prefer at least one session in person when it's practical — watching how the work actually gets done is hard to replace over a video call.

First conversation is free

Tell us which step
eats your week.

Describe the thing you rebuild by hand every project. We'll tell you honestly whether AI helps — and whether we're the right ones to build it.

Start a conversation → See pricing →