When off-the-shelf workspace buttons aren't enough: custom multi-agent systems, event-driven workflow automation, and sovereign-grade company intelligence.
Every business eventually hits the edge of standard office tools: you need an AI to watch an inbox, parse a 20-page PDF engineering spec, check live stock in an external API, update Xero, and alert a manager in Google Chat. This is the specialist tier of Google's stack — where Maintain AI uses Google Antigravity, AI Studio, Workspace Flows, Vertex AI Search, and BigQuery AI to build production systems that run themselves.
Google's flagship agent-first development environment where autonomous coding agents plan, write, test, verify, and deploy full-stack business software and integrations under senior engineering supervision.
Allows Maintain AI to build, test, and ship custom internal portals, Xero bridges, and production microservices in days rather than 6-month software agency timelines.
Provides direct API access to Gemini Pro and Flash with strict JSON schema enforcement, 1M+ token context windows, and low-latency batch processing for cents per thousand pages.
Extract every line item, GST figure, and PO number from 500 PDF supplier invoices per month into exact JSON ready for Xero or MYOB import.
Automates multi-step processes across Google Forms, Sheets, Gmail, Drive, Docs, and Chat with built-in Gemini reasoning steps — running natively inside your Google account.
When a client submits a site intake Form, Gemini analyses the risk level, generates a custom Job Pack folder in Drive, populates a contract Doc, and posts an approval card in Google Chat.
Indexes tens of thousands of company files with strict user ACL permissions, while BigQuery + Looker AI lets directors query millions of rows of financial and operational data in plain English.
Ask 'Which product lines in the South Island had margin erosion over 4% this quarter after freight costs?' and get an instant verified chart.
Subcontractor dockets, traffic management plans, and daily plant sheets arrived in 15 different formats, costing 3 full-time admin staff 40+ hours a week to reconcile against job codes.
Engineered a Gemini API + Cloud Run pipeline built in Antigravity that ingests photographed dockets from email/Drive, enforces a strict JSON schema, validates job numbers against BigQuery, and flags exceptions in Google Chat.
Reduced docket reconciliation from 40 hours/week to 3 hours of exception review; paid for the build in 9 weeks.
Needed a private internal search assistant across 60,000 historical matter files where junior staff could never see restricted partner or M&A folders.
Deployed Gemini Enterprise / Vertex AI Search connected to Google Drive with native ACL inheritance, so every search result strictly respects the logged-in user's exact folder permissions.
Instant firm-wide precedent retrieval with 100% partner permission compliance.
Paying $1,800/month in brittle Zapier tasks and third-party SaaS connectors that silently failed whenever a supplier changed an invoice layout.
Replaced the entire third-party chain with native Google Workspace Flows, Apps Script, and a self-healing Cloud Run worker monitored 24/7 by Maintain AI.
Cut monthly software fees by 85% while achieving 99.98% pipeline reliability with automated rollback alerts.
If your workflow is a simple 2-step notification used twice a month, do not pay for a custom Cloud Run build — use a native Workspace rule or spreadsheet macro instead. We will tell you this upfront at the free assessment.
What you bring: Bring the complex multi-system workflow or gnarly PDF/data extraction task your current software vendor said was 'impossible' or quoted $50,000 for.
The Written Test: In 60 minutes live in AI Studio and Antigravity, we prove the core extraction or agent logic works against your real data — or refund 100% of your NZ$495.