Layer 3
AI search, chat, analysis, and workflows
- Source-linked enterprise search
- Internal questions and answers
- Focused analysis and business workflows
Solutions
On-Premise AI Implementation Built Around Your Existing Systems
Every PremisIQ implementation is designed around the customer’s infrastructure, systems, permissions, data volume, users, and business workflows.
- Assessment-led
- On-premise
- Permission-aware
Implementation map
Internal users
AI capabilities
Search
Source-linked answers
Analysis
Focused workflows
PremisIQ on-premise AI layer
Local models
Permission-aware retrieval
Source grounding
Approved company systems
Documents
ERP / CRM
SQL data
On-premise infrastructure
Server and GPU resources · Local operating environmentSolution Architecture
One implementation, three controlled layers
PremisIQ connects private infrastructure, approved company information, and user-facing AI capabilities without requiring the customer to replace its existing software environment.
Layer 2
Data and business-system integration
- Documents and repositories
- ERP, CRM, and internal applications
- Databases, exports, APIs, and permission rules
Layer 1
On-premise infrastructure
- Private server and GPU resources
- Local models and data services
- Backup, monitoring, and operating environment
Detailed architecture is defined after infrastructure, integration, permission, and workload requirements are assessed.
Private AI Infrastructure
A private AI server sized for the actual workload
The server, GPU resources, storage, operating environment, and supporting services are selected around the implementation rather than chosen from a fixed package.
PremisIQ specifies and configures the infrastructure required to host local models, process company information, support retrieval, and serve approved users through the internal network.
Sizing principle
No single server specification fits every company. Hardware is selected after the required models, number of users, document volume, integrations, response-time expectations, and redundancy needs are assessed.
Private AI server
Specified after assessment
Compute
- Server specification
- GPU sizing
- Local model hosting
Data services
- Vector database
- Document processing
- Storage
Operations
- Operating environment
- Internal network access
- Backup and monitoring
- Controlled updates
Expansion
- Additional storage
- Additional GPU capacity
- More users and integrations
- Redundancy where required
Enterprise Search
Search and answers grounded in approved company information
Employees can search approved internal documents, ask questions across files and structured data, and receive answers with links to the underlying sources. Retrieval can follow the users, roles, and permissions defined for the implementation.
Illustrative example
Internal question
Procurement user
Which supplier agreements expire during the next quarter?
- Authenticated user
- Role and permission check
- Approved context retrieval
Source-linked answer
Three supplier agreements appear to expire next quarter. Review the referenced agreements before action.
- Supplier agreement ADocument
- Contract register exportStructured data
- Approved supplier recordBusiness system
Internal document search
Questions across approved files
Source-linked answers
Documents plus structured data
Role-based retrieval
RAG pipeline
How retrieval works
Phase 1
Information preparation
Before questions are asked- Ingestion
- Document processing and chunking
- Embeddings
- Vector index
Phase 2
Question and response
For each approved question- Permission-aware retrieval
- Context assembly
- Local model response
- Source display
System Integration
Connect the systems and information the company already uses
PremisIQ integrations are selected around the first workflow. Connection methods depend on the source system, available interfaces, permissions, update frequency, and required data access.
Integration map
Connection methods and permissions are defined for the selected workflow and source systems.
Company systems
Typical integration targetsDocuments and repositories
- File servers
- NAS
- SharePoint
- Document-management systems
- Archived files
- Email archives
Business systems
- ERP
- Accounting software
- CRM
- Project-management tools
- Custom internal applications
Structured data
- SQL databases
- Exports
- CSV and Excel
- APIs
- Controlled database views
PremisIQ integration and control
Read-only by default
Write-back is considered only after retrieval and permissions have been validated.
PremisIQ integration layer
Configured around the first workflow
- Connection method
- Permission mapping
- Data preparation
- Update and synchronization logic
Approved AI capabilities
Enterprise search
Internal chat
Analysis
Focused workflows
Initial pilots normally begin with controlled read-only access to the agreed sources.
Focused Workflows
From information retrieval to practical internal workflows
PremisIQ workflows are scoped around a real business task, approved data sources, defined users, and practical validation criteria.
- Enterprise search
- Contract and invoice lookup
- Supplier comparisons
- Internal chat
- Document questions and answers
- Operational knowledge assistance
- Project summaries
- Report preparation
- Structured information synthesis
Example input
Compare the latest supplier proposals.
Retrieved information
- Approved proposal documents
- Supplier records
- Agreed comparison fields
Output
Source-linked comparison summary for human review.
Human controlPremisIQ does not promise autonomous decisions or uncontrolled business actions. Critical decisions and actions remain under human and system control.
Security and Operations
Control remains inside the company environment
Security, access, evidence, and operational responsibilities are designed into the implementation rather than added after the workflow is built.
Defined per implementationOperational and maintenance responsibilities are agreed for each implementation.
Company-controlledon-premise deployment
Identity and access
Authentication, user roles, and internal network access.
Permission-aware retrieval
Approved sources, role-based retrieval, and controlled database views.
Evidence and oversight
Source links, audit logs, and usage visibility.
Operations
Monitoring, backup, controlled updates, and defined maintenance responsibilities.
Engagement Model
From assessment to production
PremisIQ begins with a defined business problem and expands only after the workflow, infrastructure, and permission model have been validated.
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Assessment
Identify the workflow, sources, users, permissions, infrastructure, and success criteria.
Outcome Technical fit and recommended next step. -
Focused pilot
Implement one controlled workflow in a limited on-premise environment.
Outcome Validated retrieval, answers, permissions, and user feedback. -
Production implementation
Prepare the architecture, integrations, operations, and rollout required for production use.
Outcome Production-ready implementation scope. -
Ongoing support and expansion
Monitor, maintain, update, and extend the implementation under a separate agreement.
Outcome Controlled expansion to additional workflows, sources, or users.
Each stage is separately scoped and agreed. Progression depends on technical fit, validation results, and customer approval.
Start With What You Have
Add private AI without replacing the systems that already work
PremisIQ adds a controlled on-premise AI layer around suitable existing infrastructure, systems, and workflows.
Keep what works
- Existing ERP remains in place
- No migration into one replacement platform
- Suitable infrastructure and workflows continue to be used
One useful private AI workflow first
Connect approved systems, information, users, and permissions around a narrowly defined business task.
- Approved sources
- Defined users
- Read-only first
- Clear validation criteria
Decide after validation
- Company-wide rollout
- Production hardware purchase
- Critical write-back or automated actions
These decisions are made only after requirements, retrieval quality, permissions, and practical fit are understood.
Requirements are established before broad rollout, production hardware, or automation decisions are made.
Key terms
Key implementation terms
These terms describe how PremisIQ connects approved company information to private AI workflows.
- RAG
-
Retrieval-augmented generation is a method where relevant approved information is retrieved and provided as context to a model before it generates an answer.
It connects model output to approved company information.
- Vector index
-
A searchable representation of processed content that helps retrieve relevant source material for a user question.
It supports fast retrieval across approved documents and records.
- Local model runtime
-
The environment where the AI model runs inside the customer-controlled infrastructure.
It defines where inference, model services, and runtime operations happen.
- Read-only integration
-
A connection pattern where PremisIQ can retrieve or index approved information without writing changes back to the source system.
It is usually the safer starting point for assessment and pilot workflows.
- Write-back action
-
A controlled action where a workflow sends an approved update or instruction back to a business system.
It requires separate design, permissions, validation, and approval.
Technical Assessment
Identify Your First Private AI Workflow
Bring one internal workflow, the systems or information it depends on, and the result your team needs. PremisIQ will assess the technical fit, access requirements, infrastructure, and practical next step.
Technical Assessment is preselected in the form.