Practical AI for the systems your business runs on
Bragason Consulting helps enterprises use AI in day-to-day operations: in ERP systems, in maintenance and asset management, and in the reporting management relies on. We start with the data in your systems, because that is what every AI result depends on.
Services
Each can stand on its own. Most engagements start with the first.
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I
AI Strategy & Readiness
Choose the use cases worth funding and understand what they require.
- Use cases ranked by business value and feasibility
- Review of the data and systems each use case depends on
- A roadmap with costs, risks and a realistic first pilot
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II
AI Agents & Process Automation
Automate repetitive work, with people approving what matters.
- Document intake, classification and data extraction
- Approval and exception workflows on Power Platform and n8n
- Human review wherever a decision carries risk
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III
AI in ERP & Enterprise Systems
Connect AI to the systems where transactions and assets are managed.
- ERP integration through standard APIs and data services
- Maintenance and asset management data
- Results written back to the system of record with an audit trail
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IV
Data Foundations for AI
Get the underlying data into shape first.
- Data quality monitoring and master data governance
- Integration pipelines that bring scattered sources together
- Business intelligence that people trust and use
Background
Our work has always been inside the systems companies run on: ERP, asset maintenance, data warehouses and the reporting built on top of them. We have migrated them, integrated them and cleaned up the data in them for twenty years.
That experience shapes how we approach AI. Reliable, well-understood data comes first.
- Experience
- 20 years in business intelligence and data
- Systems
- ERP systems, Microsoft Power Platform, SQL Server
- Work
- Integrations, data migrations, automation and reporting
- Location
- New Jersey, serving clients across the US
How an engagement works
Assess
Map the process and the data involved, and agree on one measurable goal.
Pilot
Build a working version on one real process with your team, and measure it against that goal.
Roll out
Make it production-ready, connect it to your systems, and hand it over with documentation and training.
Contact
Describe the process or question you have in mind. You will get a reply within two business days.