Design & sales
Interior designers, architects, kitchen and bath teams, showrooms, sales leaders, and design-build operators.
- Interior designers
- Architects
- Kitchen & bath teams
- Showrooms · sales leaders
Maybe you tried ChatGPT and got answers that were generic, wrong, or impossible to trust. Or you heard someone describe an AI workflow at a conference and thought: That sounds great, but I do not even know how I would do that.
Datum Consulting provides AI training, workflow design, custom AI implementation, and a dedicated AI-focused Discord community for the design and building industry: remodelers, general contractors, interior designers, suppliers, fabricators, distributors, showrooms, and trades.
We help you start with the basics: what to download, which AI tools to trust, what to ask, and how to give AI enough context to be useful. From there, you can reduce admin drag, organize information, draft better communication, support decisions, and eventually automate repeatable workflows with human review.
Built inside KBF Design Gallery, Adam's own design-build firm in Maitland, FL. The AI training, workflows, and implementations Datum teaches are tested against real scopes, schedules, selections, procurement, reporting, and field operations.
Join the Discord community if you want the lowest-friction way to learn with peers. Reserve the cohort for hands-on training, book Discovery for a focused assessment, or ask about custom build and staff presentation options.
KBF Design Gallery and its principals have source-backed press and recognition across Architectural Digest, Florida Design, Orlando Magazine, Interior Appeal, Passport Winter Park, Best of Houzz, Parade of Homes Orlando, Orlando Business Journal, Pro Remodeler, NKBA, Custom Builder Online, Pro Builder's Women at WIRC, and Qualified Remodeler.
Florida Design
Seaglass Awards
Orlando Magazine
Home Design Awards
Best of Houzz
Design recognition
Parade of Homes
Orlando recognition
OBJ Golden 100
Private company list
Architectural Digest
Excellence in Design
Florida Design
Seaglass Awards
Orlando Magazine
Home Design Awards
Best of Houzz
Design recognition
Parade of Homes
Orlando recognition
OBJ Golden 100
Private company list
Architectural Digest
Excellence in Design
Datum serves the people who design the project, build the project, sell the products, fabricate the materials, distribute the goods, service the systems, and keep the schedule moving.
Interior designers, architects, kitchen and bath teams, showrooms, sales leaders, and design-build operators.
Remodelers, general contractors, custom builders, project managers, superintendents, and estimating teams.
Suppliers, fabricators, distributors, cabinet shops, flooring and tile showrooms, procurement teams, and vendor reps.
Electricians, plumbers, HVAC companies, trade contractors, warranty teams, and field service businesses.
Datum Consulting provides AI training, workflow design, and custom AI implementation for the design and building industry: remodelers, general contractors, interior designers, suppliers, fabricators, distributors, showrooms, and trades.
Before Datum was a cohort, it was a method. A real story from a real business — one AI application built in a week that gave a designer nearly a quarter of her working year back.
“Our lead designer was spending 7 hours per job writing scopes, estimates, and proposals — before a single design decision had been made.” At 70 projects last year, that is 490 hours: nearly 23% of her working year consumed by a single repeatable task.
Datum built a purpose-built application in one week to handle scopes of work, pricing, proposals, storyboards, and material selections from a brief conversation about the project. That time is now reallocated to actual design work. The business increased the revenue capacity she can handle by over 20% without hiring anyone or adding overhead.
Every business has a version of this: a task hiding in plain sight, done manually, at scale, by someone whose time is worth far more. Datum helps find it, map it, and turn it into a controlled workflow.
KBF Design Gallery · Maitland · Winter Park, FL Architectural Digest · Excellence in DesignFlorida Design Seaglass AwardsOrlando Magazine Home Design Awards
Learn how to give AI the operating context it needs — your role, company, voice, services, market, constraints, and examples — so it stops giving generic answers.
Clear inputs · source context · useful outputs
Spot the admin drag, repeatable judgment calls, reporting work, and research tasks AI can help with now — and the messy, high-risk work to avoid for the moment.
Better targets · fewer distractions
Understand Claude desktop versus web, core dev tools, terminals, GitHub, repositories, plugins, skills, and the settings that make AI useful for real operating work.
Setup · accounts · practical tooling
Learn how to write prompts that work, ask AI to improve the prompt itself, test the output, and turn vague instructions into repeatable workflows your team can understand.
Better instructions · repeatable patterns
See the ways AI can work with files, browsers, spreadsheets, documents, presentations, and business systems — including when exports or manual review are the smarter bridge.
Connect where useful · review where needed
Learn the pattern behind timed automations: what should run daily or weekly, what inputs it needs, where the output goes, and where human review belongs.
Daily briefings · weekly checks · review points
Learn how to spin up multiple AI sessions or agents at once for research, analysis, reporting, coding, and workflow exploration — without losing the thread.
Parallel work · visible progress · human control
Practice the pattern: deep research, interactive HTML reports, and lightweight app prototypes that make company data easier to inspect, explain, and act on.
Reports · prototypes · operating decisions
The cohort teaches the operating pattern behind these workflows: what source data grounds the AI, who starts the workflow, what can fail, what gets logged, and where approval belongs.
Met us at a conference and AI still feels hard to start? Here's the map. Begin with the community, go deeper in the cohort, book Discovery when you want a focused assessment, or ask about a custom build or staff presentation.
Best forEveryone who knows AI matters but wants a practical place to ask questions, learn what peers are trying, share openly, and stay close to the first AI-focused community built for the design and building industry.
Join DiscordBest forBuilding-industry operators who want two hands-on evenings to learn what to download, how to set up AI, how to prompt it, where workflows fit, and how to keep practicing after the cohort.
July 21 + 22, 2026 · Virtual · 6-8 PM ET. Bring your laptop, your bottleneck, and your current stack.
Reserve seatBest forA focused assessment of your business and a strategy for applying AI where it unlocks leverage: bottlenecks, services, revenue, capacity, or the operating work your team keeps repeating.
Book the callBest forTeams that want implementation support around source-grounded workflows, connectors, review points, or a staff presentation that gets leadership and employees excited about practical AI.
Email AdamThe first AI-focused Discord designed solely for the full building stack: remodelers, GCs, designers, trades, suppliers, distributors, showrooms, and the operators running them. It is not a passive newsletter and not a generic tech community. We share, experiment, and build together: workflows, AI news, tool changes, workarounds, wins, failures, and practical ways to increase capacity, protect margin, reduce admin drag, and move faster than the market.
Staff Presentations introduce AI to your team — employees, leadership, management, and executives. We come in, show them what AI can actually do, and get them excited to leverage it themselves. Custom Build inquiries are scoped around your stack, your workflows, and the level of implementation support you need. Email Adam with team size, business type, and a rough goal.
Live working sessions, not lectures. Bring your laptop, your bottleneck, and your current stack. We'll move from basic setup to real examples, then into automation, research, reports, and agent workflows you can keep practicing after the cohort.
Foundations: what AI actually is and is not for operators. Desktop app versus website. Where Claude, ChatGPT, browser tools, spreadsheets, and coding assistants fit.
Setup + context: install the core tools, build a personal and company context layer, and learn how to feed AI the examples, constraints, and voice it needs to be useful.
Hands-on: write better instructions, ask AI to improve them, learn what makes a task a good automation target, and map the safest way to connect data from your stack.
Schedule AI to work without you: daily briefings, weekly reports, research runs, follow-ups, and QA checks with guardrails, review points, and handoff.
Reports, apps, and parallel agents: use company data to create an interactive report, then see how the same data can become a lightweight app prototype while separate agents research the market.
Your 90-day roadmap: pick the next workflows to test, the tools to avoid for now, the team members to involve first, and the leverage points that matter most.
A fast, controlled triage. No magic-button recommendations, no private data required, and no promise that AI should touch everything. Pick your business type, where the work slows down, and what stack you already use. The safest first win is often turning messy notes, photos, and conversations into a cleaner brief for human review.
The pattern is the same across the building stack: controlled workflows, clear inputs, human review, and visible outputs. Remodelers, interior designers, builders, GCs, trades, suppliers, and distributors each have different first leverage points, but the operating pattern is shared.
Stripe confirms payment immediately. Community buyers go to Discord onboarding. Cohort and Discovery buyers get the relevant confirmation and preparation path. For the cohort, bring a laptop and one or two real bottlenecks. You do not need to upload private client data to get value.
Last year, she ran 70 projects. At her loaded rate of $85 an hour, that's $41,500 spent on one task, by one person, in one year. After Datum built the workflow around that task, she does the same work in about 30 minutes. She got 490 hours back — about a quarter of her working year — for actual design work.
And this is just scope writing. There are more operating areas above where the same controlled workflow pattern applies.
You could keep experimenting with generic AI tools for the next 12 months. Most building-industry owners who try are no further along than when they started. Here's the difference.
| Capability | Datum | ChatGPT / Claude direct | Generic AI consultant | DIY (in-house) |
|---|---|---|---|---|
| Built specifically for the building industry | ✓ | ✗ | ✗ | depends |
| Controlled workflows with clear inputs, outputs, and review | ✓ | manual | varies | depends |
| Source-grounded work against your actual business context | ✓ | if you build it | depends | depends |
| Built by an operator who runs a real design-build firm | ✓ | ✗ | ✗ | n/a |
| Practical first workflow selected before tools take over | ✓ | ✗ | sometimes | maybe |
| Your software stack evaluated for useful connection points | ✓ | ✗ | varies | maybe |
| Knows what "punch list" or "rough-in" actually means | ✓ | sort of | ✗ | ✓ |
| Your team learns the practical operating pattern | ✓ | ✗ | varies | maybe |
| Human accountability and review points stay explicit | ✓ | manual | varies | ✓ |
Adam and Ashley have run the workflows they're teaching — from demo and trades all the way to $13.8M in revenue. Everything in the cohort is grounded in operating work at KBF.
Adam grew up in his family's remodeling business — running demolition in high school, then working alongside KBF's tradesmen in tile, cabinetry installation, and framing. He shadowed project managers before moving into sales in 2017, and by 2019 was managing operations and building systems where there weren't any.
In May 2021, he and his sister Ashley bought the company at $5.2M in annual revenue. By 2025, KBF Design Gallery reached $13.8M. Datum grew out of that operating experience: every bottleneck Adam solved inside KBF became part of the method.
Ashley started at KBF as a receptionist straight out of college. She moved into scheduling, earned her NKBA certification as a kitchen and bath designer, transitioned into sales, then rose to sales management before becoming co-owner alongside her brother Adam in 2021.
They've learned this business from the ground up — demo, trades, project management, sales, operations — and that's exactly why they understand the workflows they're leveraging AI to perform.
Real-person answers, including the things people email Adam about most often.
Still have a question? Email adam@datumconsulting.ai — real person, real fast.
Start with the lowest-friction path: join the Discord community, reserve the cohort when you want hands-on training, book Discovery when you want a focused assessment, or email us about a custom build or staff presentation.