Explore what's possible with AI
Explore 355+ production-proven AI agents
The Master Agents & App Catalog (MAAC) is a working view into AI that is already running inside enterprises — the agents, the processes they support, and the outcomes they have delivered.
Choose your industry to explore the AI agents and applications most relevant to your business.
- Agents running in production, not roadmap concepts
- Documented outcomes from real deployments
- Coverage across eight enterprise departments
The breadth behind the catalog
Figures below describe the full Master Agents & App Catalog collection. Each industry catalog is a focused selection drawn from it.
- Production agents
- 355+Production agentsDeployed and running today
- Departments covered
- 8Departments coveredFrom finance to IT
- Process areas
- 40Process areasMapped to real workflows
- To your inbox
- MinutesTo your inboxDelivered by email
What you'll find inside the MAAC
No frameworks. No maturity models. Agents that work, and the results they deliver.
- 01
The agent
Its name, the function it belongs to, and exactly what it does day to day.
- 02
The process it supports
Each department is broken into functional areas so you can find the workflow you own.
- 03
How it works
Inputs, logic, outputs and the systems it integrates with.
- 04
The measured outcome
ROI recorded from the deployment itself — actuals from production, not projections.
- 05
Where it's live
The kind of enterprise running it, so you can judge relevance to your own environment.
- 06
Where to start
Implementation documentation sits behind every agent, so a shortlist becomes a plan.
Coverage across the enterprise
Forty process areas spread across eight departments — so the opportunities you find map to teams you already run.
Finance
Cash, close, controls and spend
Data & Analytics
Pipelines, quality and reporting
HR
Org design, hiring and employee service
Supply Chain
Planning, catalog and supplier operations
Sales
Account planning, pipeline and coverage
Operations
Throughput, quality and exception handling
Admin
Back-office workflows and shared services
IT
Capacity, compliance and service management
Why production-proven matters
The question isn't whether AI is possible. It's what is already working in production, and where your organization can apply it next.
The pilot trap
95% of AI projects never make it to production.
Enterprises stay stuck in endless POCs with no clear path to scale.
Average time from pilot to production
6–18 months
What's changed
AI agents are now production-ready.
LLMs are reliable for enterprise workflows, integration patterns are standardized, and ROI is proven across industries.
The real question
Where to start
The MAAC advantage
Skip the experimentation.
Deploy production-proven agents with documented ROI from day one.
Average time to production
4–6 weeks
Get Your Master Agents & App Catalog
Choose your industry to explore the AI agents and applications most relevant to your business. We'll email your catalog straight away.
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