We build state-of-the-art AI business infrastructure.
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.
6 years in AI architecture · Offline closed-loop capabilities · Bank-grade security · Medical-grade accuracy
Are you struggling with…
Managing around employee incompetence, while nobody can name the real priority this week.
We remove the management drag: clear priorities visible across the whole organization, and your current employees upskilled into higher-ROI operations.
Quality only holds to your standard when you do the work yourself.
24/7 fulfillment systems that retain founder-quality performance and cut your dependency on low-performance employees.
Leads go cold waiting on a human, and the playbook never improves itself.
Systems that react the moment a signal arrives: higher conversion rates, tighter SLA and customer experience, and they self-improve with data.
Who we work with
Legacy businesses that need to modernize.
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.
New businesses that need to scale.
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.
What makes us different
We're not new.
Five years architecting AI systems for partner organizations. Our own companies run on the same systems we sell.
95%+ of developers can't do this.
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.
Specialized experts.
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.
Exactly what we do
Architecture planning & preparation
We audit your company and retrofit or rebuild the stack so your organization can use AI now and in the future.
Generic performance, never tuned to your niche or your org structure.
Data ingestion
We clean your historic data and load it into enterprise-grade, fast databasing that can stay closed-loop, offline or online.
Even the smartest models hallucinate and turn sluggish.
End-to-end execution development
Fully integrated, real-time synced automations that communicate at the org, department, and employee level.
Inexperienced builds miss the infrastructure that makes results company-customized and usable by staff.
Secure deployment & employee partitioning
Bank-grade systems that stay inside your organization and selectively limit employee visibility.
Lost work the day SOC2 requirements hit.
Where this comes from
Started building with AI, before the public models.
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.
Founded Intentionally Creative.
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.
Founded LiquorChat, an AI SaaS. Successfully raised a pre-seed round.
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.
Became an embedded engineering team.
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 shipped for an outside organization in a single invoiced month, every hour traceable to a commit.
Built Henry AI, our in-house and client execution engine.
Built first to run the marketing agency end to end, it now runs every system we operate, ours and our clients’. 169 automated jobs a day. 2,400+ meetings processed with zero note-takers. 46 AI agents and sub-agents carrying 232 tools across 1,245 assignments, running offline and online models. Self-healing infrastructure that restarts, repairs, and files its own fixes.
Officially launched Get Creative.
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.
Problems we've already solved
Leads were going cold waiting on reps.
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 production couldn't scale without hiring.
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.
Company knowledge was scattered, and managers couldn't see who was doing what.
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.
Oversight meant chasing people for updates.
EODs and employee documentation captured, structured, and rolled up automatically. Managers get the full picture without asking twice.
The person behind it
Alden Morris
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 Henry AI, the execution engine all our systems and client systems run on: 169 automated jobs a day, 2,400+ meetings processed, 46 AI agents and sub-agents carrying 232 tools, and officially launched Get Creative to formalize six years of applied AI into what we build for clients.
Book a meeting.
Tell us what your operation looks like today. We'll tell you whether it gets retrofitted or rebuilt, and what it takes.