AI + Automation | From workflow chaos to governed intelligence

Automating today.
Designing your
AI legacy.

Legacy Automations builds opinionated, governance-driven automations and AI assistants that eliminate repetitive work, hard-code best practices, and scale with your business instead of breaking it.

Structured by design. From Google Workspace and Apps Script to AI-native workflows, every system ships with guardrails, documentation, and observability.

legacy-agent · automation-runtime
# initializing governance layer...
$ legacy init --env production
✓ Workflow engine: online
✓ AI copilot: connected
✓ Guardrails: active
✓ Observability: streaming
 
$ legacy run --all-workflows
↳ 24 automations deployed
↳ 847 tasks/hour processed
✓ 0 manual interventions required
 
$ legacy status
STATUS: GOVERNED · RUNNING · 24/7
$
24/7 Uptime
0 Mystery Bots
100% Documented
Automation Engineering
AI Assistants & RAG
Ops Intelligence
Google Workspace
Governed AI
Vertex / Gemini
Workflow Orchestration
Compliance-Ready
Automation Engineering
AI Assistants & RAG
Ops Intelligence
Google Workspace
Governed AI
Vertex / Gemini
Workflow Orchestration
Compliance-Ready

Capabilities

What Legacy Automations ships for you

From low-code workflows to full-stack AI agents, we design systems that plug directly into the tools you already live in: Google Workspace, cloud platforms, and your line-of-business apps.

⚙️

Automation Engineering

Design, build, and harden automations that stitch together email, approvals, spreadsheets, shared drives, and back-office systems. Less swivel-chair, more signal.

Workflows · Orchestration · Observability

🧠

AI Assistants & RAG

Build focused AI copilots that answer questions using your policies, SOPs, and knowledge — with retrieval, guardrails, and human-in-the-loop baked in.

Vertex / Gemini · Governance · Guardrails

📊

Ops Intelligence

Surface the metrics that matter: automation coverage, time saved, exception patterns, and which manual tasks should be automated next.

Dashboards · Feedback Loops

Approach

How we turn messy processes into governed systems

No "mystery bots". Every engagement is scoped, documented, and designed to be owned long-term — by you or by your team.

01 · Map the messy reality

We start with the actual chaos: screenshots, spreadsheets, tribal knowledge, and the way work really flows through your org today.

02 · Design the governed future

Together we design the target workflow, define exception handling, access rules, and documentation requirements — before a single line of code ships.

1
Discovery & triage
Quick interviews + artifact review to identify high-leverage automations and risks. We prioritize impact over gimmicks.
2
Blueprint & architecture
We translate your process into a concrete design: triggers, data sources, AI interactions, and governance layers.
3
Build, test, and harden
Automations are built with logging, alerting, and rollback paths. You get a staging run before anything touches production.
4
Launch & iterate
We launch with change-management in mind and instrument everything so we can iterate based on real-world usage and feedback.

Sample Use Cases

Automation Systems We Architect

A few examples of the kind of systems we love to build. Your stack and constraints will shape the implementation — the patterns stay the same.

01

Budget aggregation & forecasting workflow

Distributed budget data from multiple teams is pulled into a centralized model, validated, and structured for analysis. Forecasting logic calculates projections and variance insights automatically. A finalized executive-ready summary is generated and distributed via email.

Data Aggregation · Forecasting · Executive Reporting

02

AI assistant for internal tools

A chat-style assistant embedded in your workspace that understands your policies, sites, and SOPs — and can trigger automations like provisioning, access changes, or report generation.

RAG · IAM-Aware Actions

03

Ops & field automation

Turn route changes, incidents, or requests into structured workflows that update schedules, notify the right teams, and capture data for analytics — automatically.

Scheduling · Alerts · Analytics

04

Governed access & audits

Automations that keep your groups, drives, and sites clean: ownership checks, access reviews, alerting on risky changes, and tidy-up tasks that run on a schedule.

Policy as Data · Compliance

Insights

Articles & Perspectives

Deep dives on governed AI, automation architecture, and the operational patterns that actually scale inside real organizations.

Beyond General AI — Built for Enterprise Reality

Beyond General AI. Built for Enterprise Reality.

The difference between AI that sounds good and AI that actually works inside your org. We break down controlled retrieval, validation layers, approval chains, and permission models — the architecture that separates governed AI from a fancy chatbot.

Read article →

Why Your Automation Breaks at Scale (And How to Harden It)

Logging, alerting, rollback paths, and staging environments — the unglamorous work that separates toy automations from production-grade systems.

Building an AI Copilot That Knows Your Policies, Not Just Best Practices

How retrieval-augmented generation, access controls, and human-in-the-loop design turn a generic LLM into an org-specific intelligence layer.

From Tribal Knowledge to Governed Workflows: A Field Guide

The discovery and mapping process we use to translate messy, undocumented operations into structured, observable automation systems.

Let's Build

Tell us about the manual work you're done with

Share a bit about your stack and your pain points. We'll come back with a practical automation/AI roadmap — not a 50-slide pitch deck.

Start a discovery call

Send a quick snapshot of your environment and the workflows you want to offload. We'll schedule a short working session to explore impact, risk, and possible paths forward.

Ideal topics for the first call

  • Where your team spends the most repetitive time
  • Key tools in your stack (Google Workspace, CRMs, ERPs, etc.)
  • Any data/compliance guardrails we should know up front

No pitch decks. No fluff. Just a working session.