AI integration and RAG that answers from your data, for Arizona 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 Arizona 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 has never seen your equipment manuals, lease portfolio, supplier requirements or clinical policies. RAG closes that gap by retrieving the relevant passages from your own content at the moment of a question and asking the model to answer only from them, with citations. Integration is the other half: putting that capability inside the tools your people already open, such as the document-control system, the property-management software, the ticket queue or an intranet. We measure retrieval against real questions before launch because that, more than the model, determines whether staff trust the answers.
Integration use cases for Arizona industries
These are illustrative scenarios for Arizona companies, not results from past projects. Real scope depends on your content, permissions and quality bar.
| Industry | Typical use case | Sources and systems |
|---|---|---|
| Semiconductors | Procedure and troubleshooting assistant for service teams | Manuals, service reports, parts catalogs |
| Healthcare | Internal policy and benefits assistant | Approved policies, procedures, forms |
| Real estate | Portfolio assistant for leases and property rules | Leases, disclosures, property records |
| Aerospace | Technical-library and requirements assistant | Specifications, quality procedures, change records |
| Logistics | Customer-service assistant for shipment and terms questions | Rate agreements, shipment records, SOPs |
Technical teams: manuals, procedures and requirements
Service engineers supporting chip equipment and quality engineers in aerospace spend a lot of time looking for the right section of the right revision. A retrieval layer over manuals, service reports and procedures lets them ask a plain question and get the passage with a link to the document and revision. Access rules mirror the source system, so a contractor or a customer-specific team sees only what they are allowed to. For controlled technical content, we scope the environment and approvals with your compliance team first, and the answer to "can this index it?" is often a clear no at the start.
Real estate and logistics: contracts as a searchable asset
A property manager in Scottsdale or Phoenix often needs the answer to a narrow question across hundreds of leases: which tenants hold a renewal option, which have exclusivity clauses, what the pet policy says at a given property. A retrieval layer over the lease library answers in seconds and links to the clause. Logistics firms have the same pattern with rate agreements and standard operating procedures, where a customer-service assistant can answer a question about terms with the clause and the live shipment status, and says so honestly when the sources do not cover the question.
Healthcare: policy answers with strict boundaries
Administrators at Arizona health systems and clinics answer the same benefits, policy and procedure questions repeatedly. An assistant grounded in approved documents reduces that load and prevents answers based on outdated guidance. We keep patient-specific data out of scope unless terms are agreed in writing, enforce role-based access at retrieval and log which sources produced each answer so a reviewer can verify it. The assistant does not make clinical decisions.
Privacy, deletion and operations for Arizona teams
RAG systems copy content into indexes, so scope and deletion matter. Every indexed chunk traces back to its source, a change or removal in the source propagates to the index and logs avoid storing more personal data than needed. Systems can run in your cloud accounts with your keys, which helps when customer contracts limit where data may live. 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.
Can the index hold controlled or defense-related documents?
Not by default. We scope the environment and approvals with your compliance team first, and some content may be best left out of the index entirely.
Which systems can you connect?
Common targets are document-control systems, property-management software, help desks, 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.