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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.

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

FitsprintScope$3,500Build3 weeksProof4 outcomesHandoffone-time
Automate moves from fit check to scoped work, then into build/proof/handoff so the buyer can understand how the engagement actually runs.

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.

  1. 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
  2. 2Week 2

    Build

    Implementation, prompt engineering, integrations, dashboards. Daily preview environment — your team can poke at it.

    Production codeDashboardIntegration tests
  3. 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
Median time to production
guaranteed
70–90%
Manual hours eliminated
typical workflow
<2%
Exception rate at steady state
measured at 30 days
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 Automate

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
  1. 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.
  2. 02BuildImplementation, prompt engineering, integrations, dashboards. Daily preview environment — your team can poke at it.
  3. 03Monitor + handoffProduction deploy, alerting wired in, runbook written, training session with the team that will operate it.

Conversion path

  1. 01

    Diagnose

    Confirm the real automation constraint, current surface, and business goal before writing code.

  2. 02

    Design the system

    Turn the offer into screens, data, workflows, ownership boundaries, and a measurable delivery plan.

  3. 03

    Ship the artifact

    Deliver Automate as working code, docs, dashboards, or launch assets your team can actually use.

  4. 04

    Route the next move

    Decide whether the work becomes a one-time delivery, a care plan, or a larger product build.

Proof assets

Automate service visual

Asset slot

Service proof visual

Add a real screenshot, deliverable preview, or dashboard capture from a shipped engagement when approved.

pending real proof
Jason Teixeira, founder of Sage Ideas

Verified asset

Founder/operator photo

Real founder photo reinforcing principal-led delivery.

live

Asset slot

Client quote or logo

Add only permissioned testimonials or logos tied to this service category.

pending real proof
livebuild a1556e22026-06-19 03:29Z
// solo studio// no analytics resold// every commit human-reviewed