AI integration and RAG that answers from your data, for Texas 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 Texas 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 maintenance manuals, payer rules, loan policies or tariff schedules. RAG closes that gap by retrieving the relevant passages from your own sources at question time and asking the model to answer only from them, with citations. Integration is the other half: wiring that capability into the tools your people already use, such as the help desk, the ERP, the case system or an internal portal, so nobody has to open a separate application. We evaluate the result against real questions from your team, because retrieval quality, not the model name, decides whether people trust the answers.
Integration use cases for Texas industries
These are illustrative scenarios for Texas companies, not results from past projects. Real scope depends on your content, permissions and quality bar.
| Industry | Typical use case | Sources and systems |
|---|---|---|
| Energy | Maintenance and procedure assistant for planners and technicians | Manuals, work orders, safety procedures |
| Healthcare | Internal policy and payer-rules assistant | Approved policies, procedures, payer guides |
| Logistics and trade | Customs and tariff reference assistant | Broker notes, tariff files, shipment records |
| Technology | Support and sales assistant grounded in product docs | Documentation, tickets, CRM |
| Financial services | Credit-policy and procedures assistant | Policy manuals, underwriting guidelines, forms |
Energy and industrial: procedures where the work happens
Planners and technicians in Houston-area energy operations lose time hunting for the right revision of a procedure, the history of a piece of equipment or the clause in a vendor agreement. A retrieval layer over manuals, work-order history and contracts lets someone ask a plain question and get the relevant passage with a link to the source document and revision. Permissions matter: a contractor sees only what the contractor is allowed to see, and the index respects the same access rules as the document store. The system sits next to operational technology, never inside it, reading approved documents and exports.
Healthcare and finance: policies that change often
Healthcare administrators in Houston and San Antonio face payer rules and internal policies that change several times a year. An assistant grounded in the current versions, which cites the document it used, saves staff from searching shared drives and reduces answers based on outdated guidance. In Dallas–Fort Worth banks, lenders and insurers, the same pattern applies to credit policy, underwriting guidelines and compliance procedures. Because these assistants answer questions about regulated activity, we add confidence signals, clear fallbacks such as "I could not find this" and logs of which sources produced each answer, so a reviewer can verify the reasoning.
Technology and trade: customer-facing and cross-border answers
For Austin software companies, the strongest RAG projects are customer-facing: a documentation assistant that cites the page it used, a support copilot that drafts replies from resolved tickets or an in-product feature that answers questions about the customer's own data. Evaluation is the work, so we build a test set from real questions before launch. In El Paso and across the border trade corridor, a reference assistant over broker notes, tariff files and shipment records can answer a dispatcher's question in English or Spanish, always pointing to the source so a human can confirm.
Privacy, deletion and operations under the Texas statute
RAG systems copy data into indexes, and under the Texas Data Privacy and Security Act each copy matters. We design the pipeline so every indexed chunk traces back to its source record, a deletion or correction in the source propagates to the index and logs avoid storing more personal data than needed. Systems run in your cloud accounts with your keys. Higher-risk uses may call for a data protection assessment, and we document data flows to support yours. 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 gets answers built from content they are permitted to see.
Will it touch our plant or control systems?
No. We connect to approved documents, exports and business systems. Operational technology stays outside the scope unless your engineers agree otherwise in writing.
Which systems can you connect?
Common targets are help desks, CRMs, ERPs, document stores, databases and internal portals. 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.