Loading
Services / sprint / automation
Automate
One critical workflow, automated end-to-end.A 3-week sprint that takes one workflow — onboarding, billing, support, lead routing, content production — and automates it end-to-end with monitoring, error handling, and a runbook your team can actually operate.
service graph
Surface ⇄ System
- price
- $3,500
- timeline
- 3 weeks
- cadence
- one-time
price
$3,500
timeline
3 weeks
cadence
one-time
scope
One-time / fixed scope
00// matrix position
Where this fits in the services matrix.
Every service page now names the buyer state, the commercial shape, and the next route. That keeps the catalog navigable instead of feeling like disconnected offers.
01 · best fit
Build automation with a fixed scope and written handoff.
02 · commercial shape
$3,500 · 3 weeks · One-time / fixed scope
03 · route logic
Use the diagnostic or book a call to confirm fit before scope is written.
04 · decide
Not sure this is the right service? Run the route finder and get the matching path.
00B// system flow
The offer is a route, not a loose task list.
This diagram gives every service page a concrete operating model: intake, system design, implementation, proof, and handoff.
service operating path
Surface ⇄ System
Automate flow
The diagram is intentionally simplified: it shows the buying logic and operating path, not a decorative fantasy architecture.
price
$3,500
timeline
3 weeks
cadence
one-time
01// what you walk away with
The outcome, not just the output.
- 01One workflow runs without human supervision
- 02Monitoring + alerting in place — you know when it breaks
- 03Runbook your team can operate independently
- 04Cost-of-ops baseline established + tracked
02// scope
Concrete artifacts you keep — and what we leave out.
Working code, written docs, dashboards your team owns. We also list what this engagement deliberately does not cover, so scope is honest before you click.
// deliverables
- Workflow design + architecture diagram (Excalidraw + written)
- End-to-end implementation (LLM orchestration, integrations, fallbacks)
- Monitoring + alerting (Sentry / CloudWatch / Slack)
- Operator-facing dashboard for visibility
- Cost telemetry — token spend, run rate, exception rate
- Runbook + handoff session
- 30 days of post-launch support
// not included
- LLM token spend (passed through at cost)
- Long-term retainer (rolls into Operate)
- Multi-tenant or customer-facing automation (rolls into Build)
03// methodology
How the engagement actually runs.
- 1Week 1
Workflow design
Map the existing manual workflow end-to-end. Identify the deterministic steps (rules) vs. the AI-suited steps (judgment, extraction, generation). Architecture diagram + cost model.
Workflow diagramCost modelRisk register - 2Week 2
Build
Implementation, prompt engineering, integrations, dashboards. Daily preview environment — your team can poke at it.
Production codeDashboardIntegration tests - 3Week 3
Monitor + handoff
Production deploy, alerting wired in, runbook written, training session with the team that will operate it.
RunbookMonitoring configLoom training video
// track record
Receipts, not promises.
- 21 days
- Time to production
- fixed sprint window
- 70–90%
- Manual hours targeted
- typical workflow
- <2%
- Exception-rate target
- at steady state
04// questions
Common questions.
01Which LLM stack do you use?
Whatever fits the job. Default to Claude or GPT-4-class models with structured outputs. Shipped against OpenAI, Anthropic, and open-source via Bedrock.
02Can you integrate with my existing tools?
Yes — Stripe, HubSpot, Salesforce, Notion, Slack, Gmail, Linear, and most modern SaaS via REST APIs are in scope. Anything weirder gets sized in discovery.
03How do you handle hallucinations / failure modes?
Every workflow ships with structured output validation, deterministic fallbacks, and a human-in-the-loop checkpoint where stakes warrant it. Monitoring surfaces drift early.
04What about prompt injection / safety?
Inputs are validated, prompts are templated (never string-concatenated from user input), and tool-use is gated by allow-lists. Standard practice — not negotiable.
// engage
Ready to start Automate?
A 30-minute call to confirm fit, scope, and timeline. No pressure, no slides.
automation system
From offer to operating system.
Automate is presented as a real engagement, not a generic service page: the surface, backend shape, delivery artifacts, and conversion path are all visible before the first call.
Scope Automateautomation system
Surface ⇄ System
- price
- $3,500
- timeline
- 3 weeks
- tier
- B
price
$3,500
timeline
3 weeks
tier
B
Living architecture
Scope ⇄ Ship
The page now exposes how the engagement moves from buyer pain to production artifact, then into measurement and next-step routing.
Scope Automate- 01Workflow designMap the existing manual workflow end-to-end. Identify the deterministic steps (rules) vs. the AI-suited steps (judgment, extraction, generation). Architecture diagram + cost model.
- 02BuildImplementation, prompt engineering, integrations, dashboards. Daily preview environment — your team can poke at it.
- 03Monitor + handoffProduction deploy, alerting wired in, runbook written, training session with the team that will operate it.
Conversion path
Surface ⇄ System
01
Diagnose
Confirm the real automation constraint, current surface, and business goal before writing code.
02
Design the system
Turn the offer into screens, data, workflows, ownership boundaries, and a measurable delivery plan.
03
Ship the artifact
Deliver Automate as working code, docs, dashboards, or launch assets your team can actually use.
04
Route the next move
Decide whether the work becomes a one-time delivery, a care plan, or a larger product build.
Proof assets
Real only
Asset slot
Service proof visual
Add a real screenshot, deliverable preview, or dashboard capture from a shipped engagement when approved.
Verified asset
Founder/operator photo
Real founder photo reinforcing principal-led delivery.
Asset slot
Client quote or logo
Add only permissioned testimonials or logos tied to this service category.