System Build

What used to take six months and a team of twelve now takes weeks.

$15,000 – $40,000 · 4–8 weeks. The economics of building software changed. This is what that looks like in practice.

The old model for building software looked like this: hire a development team, a project manager, maybe a strategy firm to define requirements. Six months and $500K later, you might have something that works. Or you might have a pile of code that almost works and a team asking for another six months. That model made sense when building software was genuinely hard. It doesn’t anymore.

AI collapsed the stack. Work that used to require a team of twelve now requires a team of two. Not because we cut corners — because the tools fundamentally changed what one person can build in a day. The difference between 2023 and today is not incremental. It’s structural. And most companies haven’t caught up to what that means for their operations.

What we deliver is a working system — built, deployed, documented, and running in production. Not a prototype. Not a proof of concept. A real system that does real work from day one. The kind of system that used to require a six-month engagement and a team you’d need to manage. We build it in weeks.

At the end, you own everything. The code, the infrastructure, the documentation, the deployment pipeline. If you fire us tomorrow, you keep building without us. No lock-in. No proprietary dependencies. No hostage situation. A clean transfer of a working system that’s yours.

What we build

Six categories. Production-grade. Fully owned by you.

Document intelligence pipelines

Turn mountains of documents into structured data and finished reports. What used to take your team a week takes the system an hour. Every finding sourced, every claim attributed.

AI-powered generation systems

Systems that write reports, create content, and produce deliverables in your voice. Not generic AI output — finished work that reads like your best person wrote it on their best day.

Real-time operations dashboards

One screen that shows you whether everything is working, what it’s costing, and what needs your attention. No more logging into six different tools to figure out what’s happening.

Scoring and routing engines

Put the right person on the right project, automatically. The system evaluates every variable — skills, availability, history, geography — and gives you the best match in seconds, not hours.

Integration architectures

Your new system talks to your existing tools — your CRM, your email, your calendar, your cloud. Everything connected, everything synced. No more copying data between systems.

Compliance-aware AI systems

Built for industries where compliance is not optional. Data stays where it needs to stay. Every action is logged. Every rule is enforced. No shortcuts, no exceptions.

Weeks 1–2

Core architecture deployed. Pipeline validated.

We start with the infrastructure: cloud resources, deployment pipeline, database schema, authentication. Then we build the core pipeline — the critical path from input to output. By the end of week two, the fundamental system works. Not a prototype — working infrastructure running on your cloud, processing real data through the primary pipeline.

BUILD STATUS — WEEK 2

Infrastructure
Cloud resources provisioned — Azure Container Apps
CI/CD pipeline operational — GitHub Actions → Azure
Database schema deployed — 14 tables, migrations tested
Core Pipeline
Document ingestion: operational
Extraction engine: validated against 3 document types
Storage layer: write path confirmed
Next
Integration layer, secondary document types, generation engine

BUILD STATUS — WEEK 5

Pipeline Coverage
10/10 document types supported
3 integration endpoints connected
Error recovery: retry, fallback, and dead-letter implemented
Quality
847 test documents processed — 99.2% success rate
12 edge cases identified and resolved
Performance: P95 processing time 34s (target: 60s)
Remaining
Monitoring dashboard, load testing, documentation

Weeks 3–6

Every integration connected. Every edge case handled.

The build phase is where experience matters most. We connect every data source, handle every document type, implement error recovery, build the monitoring layer, and test against production-scale data. This is not where we discover problems — the architecture sprint already found them. This is where we solve them systematically, one integration at a time.

Final Week

Your system. Your cloud. Your code. Fully documented.

We deploy to production, write the documentation, record the walkthrough, and transfer ownership. Your team gets a system they can maintain and extend without us. The deployment pipeline is automated. The monitoring is live. The runbook covers every failure mode we’ve encountered. If your team has questions after handoff, we’re available — but the goal is independence.

HANDOFF PACKAGE

Deliverables
Source code — full repository with git history
Architecture documentation — 52 pages
API documentation — auto-generated from code
Runbook — 18 operational procedures
Infrastructure
3 environments: dev, staging, production
CI/CD: push to main → auto-deploy to staging → manual promote to prod
Monitoring: 8 dashboards, 12 alert rules
Transfer
Code ownership transferred
Admin credentials rotated
Final walkthrough recorded (2h 15m)

What you own

Everything. No lock-in. No dependencies.

The code

Full source code with git history. No obfuscation. No proprietary frameworks. Standard languages, standard libraries.

The infrastructure

Running on your cloud account. Your resources, your billing, your control. We never touch it after handoff unless you ask.

The documentation

Architecture docs, API docs, runbooks, deployment guides. Written for the engineer who maintains this after us.

The pipeline

Automated CI/CD from commit to production. Your team deploys with confidence from day one.

Investment

$15,000 – $40,000

4–8 weeks

Complexity determines the range. The architecture sprint provides the exact estimate.

Every month you wait, the gap gets wider.

The question isn’t whether this is possible. It’s how soon you start.

Start with an architecture sprint

30-minute discovery call · No pitch deck