Process

From idea to production — and after.

Eight steps, each with a decision point and something tangible you keep. You always know what's being built, why, and what it costs to continue.

How we work

Discover. Architect. Design. Build. Integrate. Validate. Deploy. Improve.

Understand the business problem before proposing software.

You receive

Problem brief + current-state workflow map

Idea → production

Real projects leave a trail of artifacts. Scroll through one — from a problem brief to an autoscaling production service.

01 · Idea
problem-brief.md
- Billers work denials across 3 portals.
- Goal: one queue, ordered by risk.
- Success: fewer late appeals.
02 · Research
interviews / 6 sessions
- “I start every day in a spreadsheet.”
- Top pain: finding the remark code
- Filing limits tracked by memory
03 · UX
flow: denial → task
- ERA → categorize → assign
- → fix → resubmit → confirm
- 3 screens, 1 queue
04 · Prototype
prototype v3
- Clickable queue + detail view
- Tested with 4 billers
- 2 changes to prioritization
05 · Architecture
ADR-0007
- Parse 835 → Postgres
- Rules engine for priority
- Worker queue for payer checks
06 · MVP
release v0.1.0
- + denial queue
- + task assignment
- + ERA import
07 · Testing
test report
- 412 unit · 38 e2e
- 835 fixtures: 120 files
- 0 critical findings
08 · AI integration
eval: denial-triage
- Labeled set: 500 denials
- Suggested fix accepted by staff
- Low confidence → human queue
09 · Cloud deployment
infra plan
- + ecs service api (2 tasks)
- + rds postgres (multi-az)
- + sqs queue payer-checks
10 · Production
status
- api operational
- workers operational
- ingest operational
11 · Scale
autoscaling
- cpu > 60% → +1 task
- queue depth > 500 → +2 workers
- p95 latency tracked weekly

Example artifacts from a fictional project, shown to illustrate what each stage produces.

Idea → production

Real projects leave a trail of artifacts. Scroll through one — from a problem brief to an autoscaling production service.

01 · Idea
problem-brief.md
- Billers work denials across 3 portals.
- Goal: one queue, ordered by risk.
- Success: fewer late appeals.
02 · Research
interviews / 6 sessions
- “I start every day in a spreadsheet.”
- Top pain: finding the remark code
- Filing limits tracked by memory
03 · UX
flow: denial → task
- ERA → categorize → assign
- → fix → resubmit → confirm
- 3 screens, 1 queue
04 · Prototype
prototype v3
- Clickable queue + detail view
- Tested with 4 billers
- 2 changes to prioritization
05 · Architecture
ADR-0007
- Parse 835 → Postgres
- Rules engine for priority
- Worker queue for payer checks
06 · MVP
release v0.1.0
- + denial queue
- + task assignment
- + ERA import
07 · Testing
test report
- 412 unit · 38 e2e
- 835 fixtures: 120 files
- 0 critical findings
08 · AI integration
eval: denial-triage
- Labeled set: 500 denials
- Suggested fix accepted by staff
- Low confidence → human queue
09 · Cloud deployment
infra plan
- + ecs service api (2 tasks)
- + rds postgres (multi-az)
- + sqs queue payer-checks
10 · Production
status
- api operational
- workers operational
- ingest operational
11 · Scale
autoscaling
- cpu > 60% → +1 task
- queue depth > 500 → +2 workers
- p95 latency tracked weekly

Example artifacts from a fictional project, shown to illustrate what each stage produces.

What can we build?

01What are you trying to build?

02What does your system need?

System blueprint

Choose a project type to start assembling a system.

Let’s turn this into an actual system.

A conceptual starting point — we’ll refine it with you in discovery.

Technical consultation

Tell us what you’re trying to build, automate or improve. We’ll help you map the technology, architecture and execution path.

01
You tell us the problem
A few sentences about what you're building, automating or fixing.
02
We map the system
A working session on workflows, data, integrations and constraints.
03
You get an execution path
Architecture, phased scope and a realistic estimate — yours to keep.