PROJECTFUZE

Upgrade Your Team to AI-Native

We install the backbone that makes your team AI-native.

A product architect and an engineering leader — one on each side of the system. We build it, hand it off, and the system stays.

The Problem

Your team has AI tools.
No system connecting them.

  • Decisions live in Slack threads. AI agents can’t find them.
  • No one knows which output is verified and which is a guess.
  • Everyone’s experimenting. Nothing compounds.

The Shift

Before & after.

Before

After

Decisions buried in Slack

Structured product intent AI can act on

AI tools used in isolation

Connected workflows with context that flows

Output nobody trusts

Verified output with automated quality gates

The Proof

Same quality. Fraction of the time.

Real examples from recent engagements.

Deep Product Analysis

Full Metabase audit — data model, usage patterns, gaps

Before3 days
After2 hours

Bug Resolution

Finding → filing → prioritizing → QA → PM → Eng → fixed

Before2–3 days
After30 min

Daily Team Briefing

Personalized daily context per team member — pulled from Slack, calendar, email

Before30–45 min/person
AfterAuto-generated
0 manual effort

The System

One backbone. Three layers.

01

Product Intent

Decisions structured so agents can act on them

02

AI Agents

Connected workflows with context that flows

03

Verified Output

Quality gates that catch bad work automatically

The Duo

Two operators. One system.

David Fuesser

David Fuesser

Product Architect

  • Product lead in three high-growth startups — knows where decisions get lost
  • Founded a product consulting firm (Mercedes-Benz, Quora, 30+ orgs)
  • Designs decision frameworks and priority structures that agents can act on
Lucas

Lucas

Engineering Lead

  • Built engineering quality foundation of a startup from Seed to $200M
  • Cut critical bugs by 80% through tighter automation and smarter pipelines
  • Quality gates agents cannot bypass, automated checks that prove output matches intent

How We Work

Scan. Build. Hand off.

Scan

2 weeks · $4,000

Map your org’s friction. You get a blunt readiness report.

Build

2 months · $15–25k/mo

Architect the system. Build the engineering quality layer.

Hand off

Your team runs it

The system stays. AI ships as a normal part of operations.

Every engagement starts with the Scan.

The gap compounds daily.

30-minute call. We'll tell you whether your org is ready to go AI-native — or what's blocking it.

Check Your AI Readiness

Accepting 2 new engagements this month