AI-native systems that
ship & scale.
Fulcro Labs designs and deploys AI-native systems inside product teams — so they ship faster with less coordination overhead. Every engagement ends with your team more capable than when we started.
AI Systems Deployment
A 6–12 week engagement that takes you from audit to installed system. Not consulting — real architecture, real code, real execution improvements your team can operate without us.
When to bring us in
- —Your team is building fast but hitting execution bottlenecks
- —AI experiments aren't turning into real systems
- —Your team is coordinating more than shipping
What happens
- Reality-Check Audit
- Tech-debt scan, user-journey analysis, runway impact model, and a 45-minute live readout. This is the entry point.
- System Design
- Architecture for AI-native workflows tailored to your product, team, and constraints.
- Build & Install
- Production-ready code shipped and integrated into your team's workflow. LLM integrations, RAG systems, agents, internal tools.
- Hand Off & Operate
- Documentation, knowledge transfer, and team enablement. You own it. Fully.
Recent Deployment Outcomes
- Cubby — Production AI email parser replacing a manual triage workflow. Built and handed off to the in-house team.
- Hili — Native mobile app shipped, installed, and operated by the in-house team after the original timeline had stalled.
- Document Intelligence — RAG-powered Q&A system replacing repetitive support escalations across an internal knowledge base.
The impact of working together
- ✕AI experiments running in silos — no path to production
- ✕Heavy PM coordination overhead slowing every release
- ✕Manual workflows the team has stopped questioning
- ✕Technical decisions made without AI-native thinking
- ✓Structured AI workflows integrated into the product
- ✓Reduced coordination overhead — the system handles more
- ✓Internal tools and pipelines that compound over time
- ✓A team that understands and can operate what was built
Questions? We've got answers.
What exactly is a Reality-Check Audit?
A comprehensive assessment including tech-debt scan (Claude Code + SonarCloud), user-journey analysis (Loom walkthrough), runway impact model (spreadsheet showing burn vs. roadmap), and a 45-min live readout with prioritized action plan. It's the entry point to an AI Systems Deployment engagement — 100% credited toward the full build.
How quickly can you actually turn around a project?
Cubby's AI email-parser MVP: 17 days. Hili's app launch compressed from 6 months to 12 weeks. Go Overseas homepage and search rebuild: on schedule, platform live the whole time. Speed is the default.
What if the Reality-Check doesn't find any issues?
If we don't surface at least two issues worth 10× the audit fee, you get a full refund — or we keep working free until we do.
Do you only work with venture-backed startups?
No. We work with solo founders and venture-backed teams alike. The ideal client is moving fast and needs AI-native execution leverage. Stage matters less than momentum.
Can you work with an existing engineering team?
Absolutely — and that's often the highest-leverage use of an advisory retainer. We complement your team, we don't replace them. The goal is to accelerate what's already there and leave the team more capable.
What about compliance and security for mid-market companies?
Security-first architecture is the default, not an afterthought. We've built for clients with SOC 2, HIPAA, and GDPR requirements.
Not sure where to start?
Book a 20-minute intro call. We'll figure out if there's a fit — and which engagement makes sense for where you are right now.
Book a Discovery Call →