Automation Engineering
Design, build, and harden automations that stitch together email, approvals, spreadsheets, shared drives, and back-office systems. Less swivel-chair, more signal.
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.
Capabilities
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.
Design, build, and harden automations that stitch together email, approvals, spreadsheets, shared drives, and back-office systems. Less swivel-chair, more signal.
Build focused AI copilots that answer questions using your policies, SOPs, and knowledge — with retrieval, guardrails, and human-in-the-loop baked in.
Surface the metrics that matter: automation coverage, time saved, exception patterns, and which manual tasks should be automated next.
Approach
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.
Sample Use Cases
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
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.
02
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.
03
Turn route changes, incidents, or requests into structured workflows that update schedules, notify the right teams, and capture data for analytics — automatically.
04
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.
Insights
Deep dives on governed AI, automation architecture, and the operational patterns that actually scale inside real organizations.
Governed AI
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.
Automation Engineering
Logging, alerting, rollback paths, and staging environments — the unglamorous work that separates toy automations from production-grade systems.
RAG & AI Assistants
How retrieval-augmented generation, access controls, and human-in-the-loop design turn a generic LLM into an org-specific intelligence layer.
Ops Intelligence
The discovery and mapping process we use to translate messy, undocumented operations into structured, observable automation systems.
Let's Build
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.
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.