Managed AI Analytics
AI analytics for business systems, built and managed for you.
Ask approved questions of ERP, CRM, finance, and operational data through a compatible AI assistant. Systems Place defines the business meaning, controls access, checks representative answers, and supports the service after launch.
What the service does
Give people a direct way to investigate the numbers they already review.
A finance, commercial, or operations user asks a question in an approved AI assistant. The service retrieves only the agreed data, applies documented definitions, and returns a result that can be compared with reports or known figures.
Service principle
The value is a dependable answer, not the connection itself.
What is included
The service covers the work before and after the connection.
The exact scope follows the question and chosen option. A managed service normally covers these five areas.
01
Business definitions
The measures, dimensions, exceptions, and decision are written in language the responsible team approves.
02
Source and access design
Approved systems, interfaces, users, operations, fields, and result limits are documented.
03
Assistant connection
The selected product feature, BI option, managed platform, or purpose-built MCP tools are configured and tested.
04
Answer testing
Representative questions are compared with trusted reports, source results, or known examples before acceptance.
05
Monitoring and support
The agreed service is monitored, maintained, retested after material change, and supported through incidents and exit.
- Approve users, systems, definitions, and provider settings
- Provide trusted reports or known examples
- Own decisions made from the analysis
- Approve material changes in purpose or access
Common questions
Questions about Managed AI Analytics.
Does every engagement need a custom MCP connection?
No. The assessment can recommend an existing product, BI, a managed platform, a custom MCP connection, prerequisite work, or stopping. The simplest suitable option is preferred.
Why start read-only?
It allows useful analysis without permitting changes to the source system. Any later write action needs separate business approval, permissions, tests, and operating controls.
How are answers checked?
Representative questions are compared with trusted reports, source-system results, or agreed examples. Access rules, failure handling, and known limits are checked as well.
Will data remain inside our systems?
That depends on the chosen option. An AI assistant provider may process questions, tool requests, and approved results. The assessment documents the actual data flow, settings, retention choices, and responsibilities.
Why is ongoing support needed?
Source fields, authentication, business definitions, assistant products, and provider policies can change. The managed service monitors the agreed connection and controls how material changes are tested and introduced.
Start with the question
Describe the decision and the report or result you already trust.
The assessment will compare the available options before any production work is proposed.