Engineering-led AI consulting. Working systems first.
We build production RAG, custom AI agents, and multi-agent workflows that sit on your data and APIs. You can inspect live reference builds before we talk about a custom path. Retrieval evaluation and observability come with the work.
We deliver nationwide. For teams in the Dallas–Fort Worth metroplex, we can meet on-site when the work calls for it.
AI is another engineering component.
Use rules when the problem is rules. Use models when language, retrieval, or judgment actually helps. Mix them when the workflow needs both.
AI systems do not exist in isolation. They depend on infrastructure, data, security, applications, APIs, and business processes. We understand and build across those layers.
Breadth we bring
- Cloud and on-prem infrastructure
- Linux/Unix, databases, distributed systems
- Data movement, automation, and security
- Production RAG, multi-agent orchestration, and AI governance
- Human-in-the-loop and auditability
Operations and engineering first. Models in service of the workflow.
We are not here to drop another disconnected chat tool on your team. We design around how work and knowledge actually move through your business.
Start with one workflow
One production constraint: intake, knowledge retrieval, after-hours coverage, or follow-up. Prove it before expansion.
Design for real handoffs
Every agentic path includes what happens next: tools, records, notifications, and when a human steps in.
Build to keep running
Cloud, on-prem, or hybrid, with monitoring and security-conscious design so the system stays reliable after launch.
Plain language with the owner. Depth for technical buyers.
You do not need a technical background to work with us. We map the process in plain language, build the system, and leave documentation your team can use, plus a clear path to add the next capability once the first one is proven.
When the job needs deeper platform work (RAG evaluation, IAM, private networking, warehouses, or reporting pipelines), we handle that in the same engagement instead of handing you off.
- Discovery and workflow mapping in plain language
- Hands-on build, integration, and deployment
- Infrastructure and data work when the foundation matters
- Documentation and train-the-trainer so your people can expand it
Clear scope, honest tradeoffs, and delivery through launch. Working demonstrations show what is possible; your build is customized to how your business actually runs.
We do not invent customers, ROI numbers, or case studies. Reference builds and demos are labeled as such.
Clear steps from conversation to live system.
You describe the process, the knowledge involved, and what “better” looks like for customers and staff.
We map tools and data, where AI helps vs rules, and one focused first build with measurable success.
We implement retrieval, agents, or automation—then test with real scenarios in the target environment.
We tune what is not working, document the system, train your people, and identify the next path worth building.
See AI demonstrations or services for the full range of work we support.
Operator-led. Infrastructure-first.
Automatico is run by an engineer who still designs and ships the systems: RAG platforms, agents, and the cloud/on-prem layers underneath. Background in infrastructure, data movement, security, and production operations. The demos on this site run on infrastructure we operate.
Credentials and prior roles are shared in conversation when they help you evaluate fit. Public pages stay focused on the work you can inspect. Same person from architecture through deploy and handoff. Reference builds are labeled honestly. Security and evaluation are delivery requirements, not afterthoughts. Nationwide remote, on-site in Dallas–Fort Worth.
Demos fail on operations. We build the operations.
The model is the easy layer
Production RAG and agents die on stale data, weak ingestion, missing access control, retrieval drift, and integrations that flake. Those are engineering problems. A firm that only picks models is selling a prototype with better branding.
One team across the stack
Infra, identity, pipelines, vector stores, evaluation, orchestration, APIs, deploy. Same people who design retrieval also wire IAM.
Quality as a number
Known-good questions, precision/recall/MRR, faithfulness and citation checks. When retrieval degrades, the harness should notice before your users do.
Open the builds
Reference systems on this site run on real infrastructure. If we claim it, you can open it or walk it on a call.
Discuss a production AI initiative.
Describe the workflow, knowledge sources, and integration requirements. We will map constraints and outline a first production path.
Consultations are by video for most clients. On-site in Dallas–Fort Worth when that helps.
Phone: 945-353-5838
Email: sales@automatico.llc