AI integration and RAG that answers from your data, for North Carolina companies.
Retrieval-augmented generation (RAG) lets a language model answer from your own documents and systems instead of guessing. We connect it to the software North Carolina companies already use, with permissions, citations and deletion in mind. Cloudsoft Industries LLC, a Delaware limited liability company. We serve clients worldwide; our engineering team works from Colombia (UTC-5).
Book a scoping call →What AI integration and RAG mean in practice
A general-purpose model knows nothing about your credit policy, your standard operating procedures, your engineering runbooks or your supplier requirements. RAG retrieves the relevant passages from your own sources when someone asks and requires the model to answer from them, with citations. Integration is the second half of the job: placing that capability where people already work, such as the intranet, the help desk, the document system or the student portal, and connecting it to the systems that hold the truth. The result is an assistant that is useful because it is connected and dependable because it shows its sources. Projects start at $15,000, and we normally begin with the AI Readiness Sprint to choose the first sources and test answer quality.
Integration use cases across North Carolina industries
These are illustrative scenarios for North Carolina companies, not results from previous projects. Actual scope depends on your content, permissions and accuracy requirements.
| Industry | Typical use case | Sources and systems |
|---|---|---|
| Banking | Employee assistant for policies, procedures and product rules | Policy manuals, procedures, product guides |
| Life sciences | Protocol and standard-operating-procedure search | Approved SOPs, protocols, supplier files |
| Technology | Support and engineering knowledge assistant | Documentation, tickets, runbooks, release notes |
| Manufacturing | Plant assistant for work instructions and quality records | Work instructions, maintenance logs, supplier records |
| Higher education | Student and staff assistant for policies and forms | Policy pages, catalog, forms, FAQs |
Banking and life sciences: controlled sources, cited answers
For a bank, the most valuable assistant is often internal: a tool that answers an employee's question about a product rule or a procedure from the current manuals and shows which section it used. Because it answers only from approved documents and cites them, it reduces the interruptions that fall on senior staff without inventing policy. In life sciences, the same pattern applies to standard operating procedures and protocols: a technician asks how a step should be performed and gets the current version with its identifier. Version control is crucial, so the pipeline treats superseded documents as retired. Access rules apply at retrieval time, so a user never receives an answer built from material they are not permitted to see.
Technology, manufacturing and campuses
Software companies in the Triangle and Charlotte get strong results from a knowledge assistant over documentation, resolved tickets and runbooks, either for support staff or inside the product. Success depends on retrieval quality, so we measure it with real questions before refining the interface. On plant floors around the Piedmont, an assistant over work instructions, maintenance logs and supplier requirements can answer a technician's question in the moment rather than after a supervisor is found. Colleges and universities can place catalog pages, policies and forms behind one conversational interface that cites its sources, reducing repetitive questions to busy departments. Student information is handled under restrictions you define and approve.
Evaluation and monitoring
A demo is not a dependable system. We build a test set from the questions your staff really ask, measure whether the right passages come back and whether answers stay within the sources, and tune chunking, search and ranking before polishing the interface. Retrieval quality drifts as documents change, so AgentOps at $1,500/month monitors it after launch and flags questions that stop getting good answers. When no good source exists, the assistant says so rather than improvising, and in regulated settings that refusal is a feature.
Data protection and deletion
RAG systems copy content into search indexes, so every copy needs an owner and a deletion path. We trace each indexed passage to its source record so a deletion or correction can propagate, keep logs lean and restrict who can query what. Systems run in your cloud accounts with your keys and least-privilege access. We hold no SOC 2 or other certification and never imply it; we document the architecture for your own security review, including for the model-risk and quality processes your industry requires. Our hours overlap your Eastern day, so design reviews and incident calls happen live. This is not legal advice. Contracts and invoicing in USD through Cloudsoft Industries LLC (Delaware). Clients own 100% of the code and IP once each milestone is paid. Code lives in the client's repositories from day one. Mutual NDA available.
Frequently asked questions
What is RAG, in plain terms?
Retrieval-augmented generation finds the relevant passages in your own content and asks the model to answer from them, with citations, instead of relying on what the model remembers.
How do you handle outdated or superseded documents?
The pipeline tracks document versions and status, so retired procedures are excluded from answers and the current version is cited with its identifier.
Can the assistant respect who is allowed to see what?
Yes. Access rules are applied at retrieval time, so each user only receives answers built from content they are permitted to see.
How do deletions reach the search index?
Each indexed passage is tied to its source record, so a deletion or correction at the source can propagate. We design this at the start and review it with your counsel.
How much does AI integration cost?
AI integration and RAG projects start at $15,000. The AI Readiness Sprint is $4,500 and AgentOps is $1,500/month.