Capabilities·automation·Sprint
Service

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.

$3,500
3 weeksOne-time payment
Book a discovery call
By the numbers

Typical results

guaranteed
21 days
Median time to production
typical workflow
70–90%
Manual hours eliminated
measured at 30 days
<2%
Exception rate at steady state
Outcomes

What you get

One workflow runs without human supervision
Monitoring + alerting in place — you know when it breaks
Runbook your team can operate independently
Cost-of-ops baseline established + tracked
The journey

How Automate actually runs

Every Sage Ideas engagement follows the same five-act story — free intro chat, scope, focused build, clean handoff, and optional Care. Click any stage to see what you do, what I do, and what you walk away with.

Automate · $3,500

Automate — one AI-native workflow, end to end

A reliable AI workflow with monitoring, fallbacks, and a runbook your team can own.

6 stages2–3 weeks
Methodology

How we run this

Phase-by-phase breakdown of the engagement. Every milestone produces a concrete artifact you can see, share, or hand off.

01
Week 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
02
Week 2

Build

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

Production codeDashboardIntegration tests
03
Week 3

Monitor + handoff

Production deploy, alerting wired in, runbook written, training session with the team that will operate it.

RunbookMonitoring configLoom training video
Deliverables

What's included

  • 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
Sample

See what you'll get

Automate workflow specification

Anonymized workflow diagram + spec from a past Automate engagement.

Sample available on request
Add-ons

Extend the engagement

Optional add-ons priced separately. Bundle at checkout or scope into a follow-on engagement.

Second workflow

+$5,000

Layer on a second related workflow during the same engagement.

Compliance review

+$1,500

Data flow analysis for SOC 2 / HIPAA / GDPR — what data goes where, with which sub-processors.

Operate handoff

$1,250 first month

Roll into Operate at month 1 — first month at 50% off.

Scope

Not included

  • LLM token spend (passed through at cost)
  • Long-term retainer (rolls into Operate)
  • Multi-tenant or customer-facing automation (rolls into Build)
Proof

Related case studies

FAQ

Frequently asked

Which 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.

Can 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.

How 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.

What 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.

Ready to get started?

$3,500 · 3 weeks

Book a discovery call