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How We Build

Two-thirds of software projects fail. Most failures aren't technical - they're process failures. Here's how we eliminate them.

Why Projects Fail

These aren't edge cases. This is the industry baseline.

66%

of software projects end in partial or total failure

Standish Group CHAOS Report
56%

of project failures trace back to communication breakdowns

PMI Pulse of the Profession
37%

of failures caused by inaccurate requirements

PMI Pulse of the Profession

The pattern is clear:

Projects fail because of process, not code.

1Communication breaks down2requirements get misunderstood3wrong thing gets built
1Requirements gathered poorly2scope creeps3timeline explodes4budget blows up
1No visibility into progress2problems surface late3expensive to fix

Every phase of our process is designed to break this pattern.

Four Phases. No Surprises.

01Discovery

We don't start coding on day one. We start by understanding what you actually need - not just what you think you need.

  • Stakeholder interviews to understand the real problem
  • Technical feasibility and architecture assessment
  • User flows, wireframes, or prototypes as needed
  • Risk identification before they become expensive
  • Define what success looks like (specific, measurable)

What you get:

A clear specification document, realistic timeline, and fixed quote. You know exactly what you're paying for before we write a line of code.

02Build

This is where most agencies go dark. Not us.

  • Weekly demos of working software
  • Direct access to the team building your product
  • Same-day responses to questions and concerns
  • Scope questions addressed immediately, not at the end

What you get:

Working software, every week. No 'we're 90% done' for three months.

03Ship

Code that works on our machines is worthless. Code that works in production is the product.

  • Production hardening and performance testing
  • Security review
  • Deployment to your infrastructure
  • Monitoring and alerting setup

What you get:

Software running in production, handling real users.

04Support

We don't disappear after launch.

  • 30-day warranty on everything we build
  • Bug fixes included
  • Knowledge transfer and documentation
  • Optional retainer for continued development

What you get:

Peace of mind that you're not abandoned with a codebase nobody understands.

Communication as a System, Not a Promise

The Problem

Most agencies promise "regular updates" and "transparent communication." Then you're three weeks in, chasing for status, wondering if anything's actually getting built.

Our Approach

The difference isn't intention - it's whether communication is a habit or a system. After 50+ projects, we've learned exactly what causes client anxiety and built systems to eliminate it.

Same-day responses

Questions don't wait 48 hours. We respond the same business day, usually within hours.

Weekly demos

Every week you see working software. Not a status update email - a live demo you can click.

Direct access

Shared Slack channel with the people writing your code. No account managers playing telephone.

Proactive updates

We tell you about problems before you ask. No surprises at the end of a sprint.

Pro tip: Use this as your checklist when evaluating any development partner. If they can't tell you exactly when you'll hear from them and what you'll see - that's your answer.

The AI-Native Difference

The reality of software development in 2025

We're heading toward a future where almost all code is written by AI. The question isn't whether AI will build your software - it's who will be in control of it.

AI isn't magic, it's leverage. In the wrong hands it's just a glorified autocomplete: most developers don't really understand how LLMs work, can't give them the right context or constraints, and ship whatever code comes back. Without deliberate prompting, clear boundaries, and rigorous human review, you end up with software that's "almost right" - brittle at the edges, hiding subtle bugs and security risks.

What this means in practice:

We've spent 3+ years mastering AI-native development
Right models for right tasks (not just Copilot for everything)
Prompt and system design that produces production-quality code
Review workflows that catch AI mistakes before they ship
System architecture that humans design, AI accelerates
Human expertise drives every project - AI is the tool, not the decision-maker
Your IP stays yours. We use SOC 2 compliant AI tools, no training on your code, no long-term retention
AI lets us validate features fast, so you see working software early and avoid building the wrong thing.

The result

We deliver in months what traditional teams take a year to build. Not by working more hours. Not by cutting corners. By being genuinely better at using the tools that now exist.

This isn't a marketing claim. It's a structural advantage.