// dgtl_sunrise est. 2025 nationwide

We compile
strategy into
systems.

A founder-led practice for regulated fintech, AI operations, and local growth. Most agencies hand you a deck. We hand you something that runs — attribution infrastructure, automation pipelines, deployed sites, dashboards that update themselves. Source code, compiled.

tty1 — /usr/local/dgtl_sunrise — boot.log
01  //  the_thesis

Decks don't run.
Systems do.

Strategy without infrastructure is a PDF that ages in a Google Drive folder. The work that actually moves a number is the work that compiles — that turns positioning, segmentation, and offer architecture into things that execute on their own. Pixels. Pipelines. Schemas. Dashboards. Endpoints. Source code, compiled into something that runs.

$ INPUTpositioning.md
 audience_segments.json
 offer_architecture.yml
 compliance_constraints.lock
↓   compile   ↓
$ OUTPUTacquisition_system.live
 attribution_graph.live
 automation_pipeline.live
 ops_dashboard.live

// Most agencies sell you the spec. We sell you the build. The deliverable isn't a recommendation deck — it's a working system you can log into the next morning.

// The unifying skill is marketing engineering: thinking about audiences, offers, and channels with the same precision a software team brings to a production deployment. Versioned. Observable. Owned.

// Built by an operator, not a committee. The same person who scopes the work writes the prompts, wires the integrations, and ships the artifact. No handoffs. No telephone game. No surprises in invoice month three.

02  //  practices

One spine.
Three expressions.

The same compile model, applied to three very different surfaces. Each engagement begins with a paid diagnostic and ends with a system you operate, not a memo you file.

~/practices/regulated_fintech.md PRIMARY
noel@dgtl:~$ cat practice_01
regulated
fintech
strategic marketing for compliance-bound institutions

Acquisition strategy for banks, lenders, and fintech operators where every line of copy lives under UDAAP, FCRA, and Reg Z. Audience segmentation, funnel architecture, creator programs, and the attribution infrastructure to prove any of it worked.

// stack

  • audience segmentation & ICP modeling
  • compliance-aware acquisition funnels
  • creator & affiliate program design
  • multi-touch attribution infrastructure
  • performance reporting & review cycles
  • NDA-friendly engagement structure
~/practices/ai_operations.md CORE
noel@dgtl:~$ cat practice_02
AI operations
architecture
map the bleed. build the fix. operate the result.

We map how the business actually runs, find where time and money are bleeding out, and build the AI systems that close the wound. Starts with a paid current-state audit. Ends with a live operating layer that runs on its own and reports back.

// stack

  • current-state operational audits
  • n8n cloud orchestration pipelines
  • Airtable databases & schemas
  • Claude API agents & prompt stacks
  • Lovable operator dashboards
  • in-person kickoff & handoff
~/practices/local_growth.md REGIONAL
noel@dgtl:~$ cat practice_03
local
growth
enterprise strategy at small-business velocity

Fast websites, local SEO, paid search and social, and positioning for small and mid-size businesses in North Idaho and the greater Inland Northwest. Same operator, same precision, scoped to the cadence and budget a local owner can actually run.

// stack

  • flat-fee websites on GitHub + Cloudflare
  • local SEO & map-pack optimization
  • paid search & social campaigns
  • brand and positioning workshops
  • email-driven content updates
  • Coeur d'Alene · Spokane · Inland NW
03  //  how_it_runs

A four-stage
pipeline.

Every engagement — fintech, ops, or local — follows the same compile model. The diagnostic is paid and stands alone. You never end up locked into a build you didn't get a chance to evaluate first.

STAGE 01
audit
Paid current-state diagnostic. We map how things actually work today, name the bleed, and define the system worth building. Standalone deliverable.
STAGE 02
architect
Design the system. Schemas, integrations, prompts, copy, channels, attribution. The blueprint your team can review and your CFO can budget against.
STAGE 03
build
Compile. Wire integrations, write production prompts, deploy automations and dashboards, ship the site, light up the attribution. Real artifacts in version control.
STAGE 04
operate
Retainer earned, never pre-pitched. We operate the system, instrument what matters, and iterate against the numbers it reports back.
04  //  operator

Built by the
person you talk to.

Noel Churchill, founder of DGTL Sunrise
// operator.jpg ● connected

Noel Churchill

// founder · operator · sole point of contact

Noel founded RainbowOPTX — a sunglasses brand built from zero to eight figures with no outside funding, almost entirely on creator marketing and Meta ads — and exited in 2025. The operating muscles he built running a DTC brand under real margin pressure now power every DGTL Sunrise engagement.

He's a technical power user who works in terminal, deploys his own code, and treats AI tools as production infrastructure rather than novelty. The same person who scopes the work writes the prompts, wires the integrations, and ships the artifact.

DGTL Sunrise is run as a deliberately small founder-led practice. No account managers. No subcontract chain. No deck team. The ceiling on quality is the ceiling on one operator's attention — and the work is scoped accordingly.

8-fig
DTC brand exit (2025)
11+
years operating & building
1
operator on every project
05  //  start_session

Open a socket.

tty2 — /usr/local/dgtl_sunrise — session.new
noel@dgtl:~$ ./initiate --inbound
[ok] inbound channel listening
[ok] response time < 24h on weekdays
[i] all engagements begin with a paid diagnostic
What are you trying to compile?

Tell me what's bleeding — the funnel that won't attribute, the operation that won't scale, the local presence that won't show up. If there's a system worth building, I'll scope a diagnostic and we'll find out together.