Your sources, with permissions
Ground an assistant in selected company information with visible sources and controlled data handling.
Private AI and RAG systems
Give your AI assistant the right business context.
Make selected company information available through an assistant with visible sources. Document ingestion, retrieval design and access rules provide a controlled foundation for the agreed use case.
Project valueQuoted to scopeNo payment before scope agreement
DeliveryAgreed with your quoteScoped after discovery; after brief, access and approvals
Your first milestoneDefine the taskA useful review point before the next stage
Helpful, bounded and inspectable
Evaluation before rollout
The assistant needs more than a prompt. Data access, tool permissions, evaluation examples and escalation rules determine whether it belongs in a real business workflow.
Human approval where it matters
Human review and escalation keep the agreed task connected to the people responsible for it.
In our clients’ words.
“I believe the website speaks volumes as to the quality of work ICM can produce.”
“The quality and the professionalism they provided is top notch of multi-million dollar companies.”
“I am sure we’ll work together again.”
WHAT YOU RECEIVE
Your Private AI and RAG systems project, clearly defined.
Teams with a repeatable knowledge or operational task and an owner who can review examples and decisions.
Retrieval architecture
Map the important entities, page or system relationships and ownership boundaries. The handover identifies how data moves, what is configurable and what needs a controlled release.
Document ingestion
The brief defines the exact document ingestion required for private ai and rag systems. We show the named output at its review milestone and record any data, access or third-party dependencies before handover.
Evaluation and access rules
Set out who may view, change and approve the relevant records. Test representative authorized and unauthorized accounts, and document administrator ownership rather than sharing one unrestricted login.
Scope and requirements
Hosting, model terms and data-retention requirements are agreed before deployment.
Any additional work is scoped and priced for your approval.
THE DELIVERY PATH
From your brief to the finished work.
Follow the preparation, review and delivery stages for this service.
Define the task
List inputs, useful outputs, connected tools and actions that need human approval.
Build a testable slice
Review a working interaction with approved sample information.
Evaluate the edge cases
Test unsupported questions, failures and permissions as well as normal requests.
Release with oversight
Document usage costs, ownership, monitoring and escalation responsibilities.
What is included?
Includes Retrieval architecture, Document ingestion and Evaluation and access rules. Hosting, model terms and data-retention requirements are agreed before deployment.
Will the assistant always be correct?
No. We use task-specific evaluations, appropriate citations and human handoffs rather than claiming perfect accuracy.
Can it use confidential business information?
Only through an agreed data-handling and access design. We confirm providers, retention settings and permissions before connecting sensitive sources.
Are model and infrastructure charges included?
Implementation and ongoing usage are different costs. Your proposal identifies model, hosting and third-party subscriptions separately.
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YOUR NEXT LEAP STARTS HERE
Ready to put Private AI and RAG systems to work?
Share the change you want to make. We will help turn it into a clear, practical project.