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.

Automation Throughput
24/7
Bots don’t sleep. Humans do.
Governed AI

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.

📈

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 to stakeholders.

DATA AGGREGATION • FORECASTING • EXECUTIVE REPORTING

👥

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

🚛

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

🔐

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

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