AI integration and RAG that answers from your data, for Illinois companies.
Retrieval-augmented generation (RAG) lets a language model answer from your own documents and systems instead of guessing. We integrate it into the software Illinois companies already run, 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 carrier agreements, your trading procedures, your plant specifications or your grain contracts. RAG fixes that by retrieving the relevant passages from your own content when a question is asked and having the model answer only from them, with citations. Integration is the second half: placing that capability inside the tools people already open every morning, such as the transport system, the ticketing queue, the ERP or an intranet, so nobody needs a new application. Retrieval quality decides success, so we build a test set from real questions and measure answers before launch.
Integration use cases for Illinois industries
These are illustrative scenarios for Illinois companies, not results from past projects. Real scope depends on your content, permissions and quality bar.
| Industry | Typical use case | Sources and systems |
|---|---|---|
| Logistics and freight | Carrier-terms and accessorial-rules assistant | Carrier agreements, rate sheets, shipment records |
| Financial and trading services | Procedures and compliance-policy assistant | Policy manuals, procedures, control documents |
| Manufacturing | Work-instruction and specification assistant | Work instructions, specifications, quality records |
| Healthcare | Internal policy and benefits assistant | Approved policies, procedures, forms |
| Agriculture | Contract and grading-rules assistant | Grain contracts, grading schedules, dealer terms |
Logistics and finance: the answer is in a document somewhere
Customer-service and operations staff in Chicago logistics firms field questions that depend on clauses buried in carrier agreements and rate sheets: who pays for detention, what counts as a valid appointment window, which fuel table applies. A retrieval layer over those documents and the live shipment record lets someone ask in plain words and receive the clause with a link to the source. In financial firms the same technique helps staff find the current version of a procedure or control, and each answer shows which document and revision it came from. Access rules follow the document store so a desk only sees what it is permitted to see.
Manufacturing and agriculture: knowledge on the floor and in the field
Technicians in Peoria and Rockford plants waste time searching for the right work instruction, tolerance or supplier requirement. A shop-floor assistant over current instructions and specifications gets them to the right page quickly, and flags when its sources disagree. Agribusinesses across Illinois can offer dealers and staff an assistant that answers contract and grading questions from the actual documents. For both, we favor honest fallbacks: when the system cannot find support in the sources, it says so instead of improvising.
Healthcare: policy answers with strict boundaries
Administrators at hospitals and clinics in Naperville, Springfield and beyond spend time answering the same policy, benefits and procedure questions. An assistant grounded in approved documents reduces that load and cuts answers based on outdated guidance. We keep patient-specific data out of scope unless terms are agreed in writing, apply role-based access at retrieval time and log which sources produced each answer so a reviewer can verify it. Nothing in the assistant makes clinical decisions.
Privacy, deletion and operations in Illinois
RAG systems copy content into indexes, so deletion and scope matter. Each indexed chunk traces back to its source, a change or deletion in the source propagates to the index and logs avoid storing more personal data than necessary. With the Illinois Biometric Information Privacy Act in mind, we do not index face images, voiceprints or fingerprint data unless you and your counsel decide to, with the consent and retention steps that requires. Systems run in your cloud accounts with your keys. We hold no SOC 2 or other certification and never imply otherwise. Projects start at $15,000, the AI Readiness Sprint at $4,500 helps scope them and AgentOps at $1,500/month keeps retrieval quality from drifting. 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 looks up 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.
Can the system respect who is allowed to see what?
Yes. Access rules are enforced at retrieval time, so a user only receives answers built from content they are permitted to see.
Do you index images or audio of people?
Not by default. Because of the Illinois Biometric Information Privacy Act, we keep face images, voiceprints and similar data out of indexes unless you and your counsel decide otherwise and put consent and retention in place.
Which systems can you connect?
Common targets are transport and ERP systems, help desks, document stores, databases and intranets. Scope depends on available APIs and permissions, which the Readiness Sprint checks.
What 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.