AI Ops Layer for an Asset-Management Business
by Enterprise DNA
An operations layer for an asset-management business, from client brief to live deploy in two months.
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AI Ops Layer for an Asset-Management Business
Added 17 May 2026
Overview
Enterprise DNA built an AI operations layer for an asset-management business. It sits on the client's existing Supabase database, surfaces email through a tenant-scoped mail layer, and ships a working inbox and task surface. A two-month, agent-first build delivered as a paid client project.
Best for
Best for
Consultancies and agencies productising agent patterns for clients
Use cases
- Productise an internal AI ops pattern as a paid client project
- Bridge a client-owned Supabase database into a new agent-first surface
- Multi-tenant mail access without forking a mail client
- Ship a working AI ops layer in months, not quarters
Notes
Why it is here
It is a proof point that the agent-first build pattern works as a delivered client outcome on a real timeline, mapped to a new domain.
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Pros
- Paid client work, not a demo project
- Reuses the client's existing infrastructure
- Multi-tenant email pattern proven in production
- Two-month timeline credible for similar engagements
Cons
- Demands strong tenant-isolation discipline
- A client-owned database adds coordination overhead
- A per-client build is not a SaaS replacement
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
EDNA Command Center
Enterprise DNA
Operating layer for a multi-product AI company, run by agents and steered by a small human team.
Command Center for a New Zealand Law Firm
Enterprise DNA
A per-client command center for a law firm in New Zealand: the same operating pattern, ported to a client.
Pairs with
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