GREENLEAF.STUDIO · AI-FIRST STUDIO

AI-powered products. Real business results.

Advisory, data, engineering, and talent from an AI-first boutique.

Advisory

AI-first strategy

Data

Pipelines & governance

Engineering

Apps, platforms, agents

Talent

Embedded senior teams

Deploys in weeksRuns on your dataEnterprise-grade

Modern teams put AI to work with Greenleaf.

What we build

AI at the core. Not bolted on.

Products

Services

01

AI-First Advisory & Efficiency Consulting

We pinpoint where AI creates real efficiency and cost savings.

02

Data Development & Optimization

Pipelines, storage, and governance your AI can rely on.

03

AI-Powered Product Development

Apps, websites, and general AI-first frameworks.

04

Embedded Delivery Teams

Senior AI, data, and engineering talent embedded in your team.

AI adoption is accelerating.
AI costs are accelerating faster.
Greenleaf understands your business
and what your business needs.

Decisions. Across conversations, meetings, docs, and teams.

Systems. Integrated across enterprise tools your business runs on.

Permissions. Secure, permission-aware access built in from day one.

Efficiency. Pre-connected enterprise context reduces token waste and lowers the cost to scale AI.

Private Agents

Your knowledge. Your rules. Your agent.

View Services

Live product

See our product live.

An example of what we build — a real, production product powered by our AI stack.

GPBIBLE — Walk daily with God's Word

Case study

GPBIBLE

A daily Bible companion app — built end-to-end with our team. AI-powered study companion, guided reflections, and a full mobile-first experience.

Visit gpbible.org
...

FAQ

Frequently asked questions.

What is a private agent, and how is it different from public AI tools?+

Private agents are built on your data, follow your rules, and are designed to complete real workflows — not just generate generic answers.

Is our data secure?+

Your agent runs in your environment with full control over access, permissions, and compliance. Data never leaves your tenant.

How long does it take to implement?+

A working Pilot ships in three weeks. Launch into production typically takes 4–12 weeks depending on scope.

What kind of data can the AI use?+

Docs, wikis, tickets, policies, product info, transcripts, code — structured or unstructured, on-prem or in the cloud.

Will this replace our team?+

No. It removes repetitive work so your team can focus on higher-value decisions. Your people stay in control.

Get started

Start with a Pilot.
Scale from there.

Three weeks. Your data. A real agent to test.