For legacy companies that need their operations retrofitted, and growing companies that need to scale without adding headcount. Efficient to run. Bank-grade secure. Future-proof.
Management
We install
We remove the management drag: clear priorities visible across the whole organization, and your current employees upskilled into higher-ROI operations.
Fulfillment
We install
24/7 fulfillment systems that retain founder-quality performance and cut your dependency on low-performance employees.
Sales & Marketing
We install
Systems that react the moment a signal arrives: higher conversion rates, tighter SLA and customer experience, and they self-improve with data.
Tell us which of the three is costing you the most.
15+ years old, running systems built for a different era. We retrofit your operations with closed-loop security and a team that understands traditional employee hierarchy.
Product-market fit or fresh funding, and demand outrunning the org. We build the infrastructure that scales output while decreasing headcount, set up correctly the first time.
Six years architecting AI systems for partner organizations. Our own companies run on the same systems we sell.
Most experienced developers never learned to build with AI. Most who know AI can’t engineer real systems. Our team is the small overlap that does both.
Developers proven in zero-tolerance fields like banking and medical, and at every scale, from early-stage startups to century-old family businesses and global enterprises.
01
We audit your company and retrofit or rebuild the stack so your organization can use AI now and in the future.
What happens if this is done wrong
Generic performance, never tuned to your niche or your org structure.
02
We clean your historic data and load it into enterprise-grade, fast databasing that can stay closed-loop, offline or online.
What happens if this is done wrong
Even the smartest models hallucinate and turn sluggish.
03
Fully integrated, real-time synced automations that communicate at the org, department, and employee level.
What happens if this is done wrong
Inexperienced builds miss the infrastructure that makes results company-customized and usable by staff.
04
Bank-grade systems that stay inside your organization and selectively limit employee visibility.
What happens if this is done wrong
Lost work the day SOC2 requirements hit.
2020
Working with AI systems since 2020, before the first public OpenAI releases, recognizing the change coming and leaning in early. Pioneering how founders and builders use AI at every major turn since: pre-thinking models, thinking models, sub-agents, image and video generation, and minimal-context engineering.
2022
A niche-specific marketing agency built for the alcohol and beverage industry. Grew it over 100% year over year, three years in a row, by systematizing every part of the operation instead of adding headcount.
2025
Raised a quarter of a million dollars and built a vertical AI platform to production: fine-tuned domain LLMs, a unified vector and relational data graph, POS integrations, and an in-store kiosk. It taught us more than it earned, and that lesson became this company.
2025
A team of specialists carefully selected for backgrounds across zero-tolerance niches and skill sets spanning different architectures: AI-native, yet traditionally trained. 222 pull requests, 953 commits, and ~96 mobile apps built for an outside organization in a single invoiced month, every hour traceable to a commit.
2026
Built first to run the marketing agency end to end, it now runs every system we operate, ours and our clients’. 2 million AI tasks processed since February. 3 billion tokens in September alone. 2,800+ meetings processed. 53 AI agents carrying 412 tools across 1,569 assignments, running offline and online models. Self-healing infrastructure that restarts, repairs and fails over on its own.
heywesley.ai (opens in a new tab)2026
Formalizing our already-existing consulting business and six years of applied AI. The systems we used to successfully grow our own companies, now built for yours.
2026
Ran it on the same systems we build for clients: 346 apps built and uploaded to Apple since July, support replies and custom contracts drafted by Wesley, and every hour of engineering traceable to a commit.
2026
Our company operating system, built on Wesley: chat, tasks, dashboards and daily reports in one place, and a builder that turns a conversation into a working app or website. The systems that run our companies, packaged for other companies to run theirs.
Sales
The problem
The system
End-to-end outbound and inbound automation across email, text, and voice, synced directly to the CRM, with or without third-party dependencies. Every lead gets touched the moment it moves.
Content Fulfillment
The problem
The system
A complete content engine: competitor research → reactive strategy and planning → image, text, and video generation → fulfillment → client dashboards and internal reporting, with self-learning loops that improve every cycle. Output scales, headcount doesn’t.
Operations
The problem
The system
24/7 ingestion from notetakers, email, text, audio, and storage into one real-time searchable spine, driving automated task management, manager oversight, auto-generated SOPs, and performance monitoring.
Employee Management
The problem
The system
EODs and employee documentation captured, structured, and rolled up automatically. Managers get the full picture without asking twice.
Companies we own
More than 2 million
AI tasks processed by Wesley
More than 3 billion
tokens in the last 30 days
350+
SaaS platforms and apps launched
60+
businesses we’ve worked with on AI
Founder-led · Since 2020
Founder & Systems Architect
Alden started building with AI systems in 2020, before the first public OpenAI models, recognizing the change coming and leaning in early. He has pushed the bounds at every major turn since: pre-thinking models, thinking models, sub-agents, image and video generation, and minimal-context engineering.
He founded Intentionally Creative in 2022, a niche-specific agency for the alcohol and beverage industry, and grew it over 100% a year, three years in a row. In 2025 he founded LiquorChat, an AI SaaS, raised a quarter-million-dollar pre-seed round, and led an embedded engineering team of specialists that shipped 222 pull requests in a single month.
In 2026 he wrote the first commit of Wesley, the execution engine all our systems and client systems run on: 2 million AI tasks processed, 2,800+ meetings, 53 AI agents carrying 412 tools. The same year he officially launched Get Creative to formalize six years of applied AI into what we build for clients, and launched Cadrillo, the company operating system built on Wesley.
“When you work with Get Creative, you work with me. I architect every system, review every build, and answer my own email.”
Architecture
Alden designs every system we ship
Access
Direct Slack and phone, no gatekeepers
Review
Every build reviewed before it goes live
He answers his own
Tell us what your operation looks like today. We’ll tell you whether it gets retrofitted or rebuilt, and what it takes.
Prefer a full page? Open the calendar directly.
AI business infrastructure