HOUSTON LLM CONSULTING
Enterprise LLM solutions in Houston, built with control in mind
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LLM consulting in Houston from DESSS helps business and IT leaders move from interest in generative AI to a few well-chosen, well-governed projects. As an LLM development company in Houston, we cover the full path: strategy, model choice, integration, testing, security and support.
Large language models are good at drafting, summarizing, classifying and answering questions in plain language. They also make mistakes, can expose data if used carelessly, and cost money on every call. Good results come from picking the right tasks, measuring quality honestly and keeping people in charge of important decisions.
When answers must come from your own documents, see our RAG consulting in Houston. When you want AI to carry out steps in a workflow, see agentic AI consulting. For wider AI planning, our AI consulting services team can help.
When to call us
When leaders ask for an AI plan, a pilot stalls, or staff are already using chat tools without rules.
What you receive
A ranked roadmap, a model recommendation, a tested integration and clear governance.
Who it is for
Executives, IT leaders, security teams and business owners planning generative AI work.
Where we work
From our Houston headquarters, with an office in Austin, for clients across Texas.
OUR SERVICES
LLM consulting in Houston
Six services cover most of what Houston companies need to plan, build and run large language model projects responsibly.
LLM use case assessment and roadmap
Workshops with your teams to find tasks where an LLM helps, ranked by value, risk, data readiness and effort.
Model selection and evaluation
We compare commercial and open-weight models on your own test cases for quality, speed, cost and data handling.
LLM fine-tuning and prompt engineering
Prompt design and versioning first, and fine-tuning only where tests show it adds real value over good prompts.
LLM integration with enterprise systems
Connecting models to ERP, CRM, SharePoint, ticketing and custom apps through secure APIs with proper access control.
LLM evaluation and guardrails
Test sets, scoring, red-team checks, content filters and rules for when a person must review the output.
AI security, privacy, and governance
Usage policies, data classification, logging, vendor review and risk controls aligned with your compliance needs.
COMMON PROJECTS
LLM strategy consulting in Houston, from first idea to production
These are the projects that most often bring Houston teams to us, and how we approach each one.
LLM strategy consulting in Houston
Where should we start with LLMs? Our LLM strategy consulting in Houston starts with your processes, not with a model. We interview teams, list candidate tasks, check what data each needs and estimate value and risk. The result is a short roadmap with one or two pilots worth funding first.
–Process and pain point interviews
–Use case scoring for value and risk
–Data readiness check
–Pilot scope and success measures
Choosing the right model and platform
Which model should we use? There is no single best model. We test candidates on your real examples and compare quality, latency, token cost, context size and where data is processed. Many clients choose a managed cloud service they already use (Azure OpenAI, AWS Bedrock, Google Vertex AI) and keep the design open enough to switch models later.
–Side-by-side tests on your data
–Cost per task estimates
–Data residency and retention review
–Design that avoids model lock-in
LLM integration services in Houston
How do we connect an LLM to our systems? Our LLM integration services in Houston connect models to the applications your staff already use. We build secure APIs, respect existing user permissions, log every request and handle errors and timeouts so the business process keeps working.
Larger builds are delivered with our AI application development and API integration teams.
–Secure API and service layer
–Single sign-on and permission checks
–Request logging and error handling
–Integration with ERP, CRM and SharePoint
AI governance consulting in Houston
How do we control AI use? Our AI governance consulting in Houston gives you policies people can follow: which tools are approved, what data may be used, who owns each AI system and when a human must review output. We align controls with your security program and frameworks such as the NIST AI Risk Management Framework.
For broader security work, see our cybersecurity consulting services.
–Acceptable use policy
–Data classification for AI
–AI system inventory and owners
–Vendor and model risk review
LLMOps and monitoring
How do we keep it working after launch? Models change, prompts drift and usage grows. LLMOps and monitoring keep quality and cost visible: we track answer quality against test sets, log prompts and responses with privacy controls, alert on failures and report token spend by team.
–Prompt and model version control
–Quality regression testing
–Usage and cost dashboards
–Incident and feedback process
HOW WE WORK
How an LLM engagement runs
Six steps take a large language model project from idea to a monitored production service.
STEP 01
Discover
We meet stakeholders, list candidate tasks and agree what success looks like.
STEP 02
Assess
We check data, systems, security needs and constraints for the top use cases.
STEP 03
Select
Candidate models and platforms are tested on your own examples.
STEP 04
Pilot
A small group uses a working pilot while we measure quality, cost and adoption.
STEP 05
Harden
We add guardrails, access control, logging and human review steps.
STEP 06
Run
We launch, monitor quality and spend, and hand over runbooks to your team.
RELATED SERVICES
Services that support your LLM projects
LLM projects depend on good data, secure systems and solid application work.
WHY DESSS
Why choose DESSS for enterprise LLM solutions in Houston
A good LLM partner tells you where AI fits and where it does not.
Model-neutral advice
We recommend models and platforms on test results, not on a vendor preference.
Measured, not assumed
Every project has a test set, so quality is shown with evidence before launch.
Enterprise systems experience
We also build and integrate ERP, CRM and SharePoint systems, which is where most LLM value sits.
Local to Houston
Workshops and planning sessions can happen in person at your office or ours.
DESSS LLM consulting covers use case assessment, model selection, prompt engineering and fine-tuning, integration with your systems, evaluation, guardrails, governance and ongoing monitoring.
Start with well-designed prompts and, where answers depend on your documents, retrieval. Fine-tuning helps for consistent style or narrow tasks, but it adds cost and upkeep, so we only recommend it when tests show a clear gain.
It depends on the service and how it is configured. We review each provider’s data handling terms, use enterprise offerings with suitable retention settings, and keep sensitive data out of prompts where it is not needed.
We work with Azure OpenAI, Amazon Bedrock, Google Vertex AI and open-weight models hosted in your own environment. The choice depends on your cloud, data rules and quality needs.
No method removes errors completely. We reduce them with grounding in trusted sources, clear prompts, output checks and test sets, and we require human review where mistakes would matter.
An assessment usually takes a few weeks. Pilot length depends on the use case and integrations, and we agree the scope and success measures before work starts.
HOUSTON LLM CONSULTING
Talk to a Houston LLM consultant
Book a short call about LLM consulting in Houston. We will discuss your goals, your data and which use cases are worth testing first.
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