Solutions
Design AI systems before you spend on development
I map workflows, integration points, and user journeys first. Then you choose tools. Then you build.
Currently at KAIA — building AI systems and platforms
- 3 · Shipped case studies
- 40+ · Pages migrated to Next.js
- Enterprise · Learning & platform work
- AI pipelines · Content & workflow automation
Most teams jump to tools or development before anyone maps how work actually flows. That is how AI projects stall, overspend, or ship something nobody adopts.
No blueprint
You have AI ambitions but no shared system map to implement them safely across teams and tools.
Wrong order
Engineering starts building before stakeholders agree on workflows, integration points, and user journeys.
Misaligned teams
Leadership, product, and ops each picture a different future state, so every sprint debates direction instead of executing.
Without architecture
- Development budget spent before workflows are agreed
- Integration failures discovered after contracts are signed
- Teams building features that do not connect
- Decisions driven by vendor demos, not evidence
With a blueprint first
- Shared architecture before any major build spend
- Workflows, integrations, and user journeys mapped
- A decision-ready blueprint the whole team can align on
- A 90-day roadmap with clear implementation priorities
Concrete outputs from the architecture phase, not slide decks.
- Opportunity map and current-state assessment
- Future-state workflow design
- Technology and integration recommendations
- 90-day roadmap with implementation priorities
- Risk analysis
AI Product Blueprint
$2,000–$10,000+
Before spending $50,000 building software, get the complete blueprint first.
View offer- 01
We map your situation, constraints, and goals. No pitch deck. You leave knowing whether there is a fit.
- 02
Structured assess, identify, and map work across workflows, stakeholders, and systems.
- 03
Full architecture document with workflows, integration logic, wireframes, and a prioritized roadmap.
Good fit if you are
- Founders with AI product ideas who need architecture before they burn runway
- Agencies modernizing client delivery with AI and automation
- Enterprise teams with stakeholder alignment problems on AI initiatives
Enterprise learning systems and agency-scale migrations designed before development began.
Enterprise TrainingLearning Architecture FrameworkGamified enterprise and government learning management system with AI personalization and three role-specific dashboards.
View work
AgenciesWorkflow-First40+ page WordPress to Next.js migration with Vercel CI/CD, Storyblok CMS, SEO preservation, and GSAP motion.
View work
Book a discovery call to map your highest-leverage opportunities.