AI Agent Development Company in Houston

We quote fixed-fee against signed scope rather than publishing bands, so your CFO and procurement know the number before kickoff. A scoped AI agent pilot for a Houston energy major or TMC institution is a ten to fourteen week engagement covering a single workflow (lease abstraction, prior authorisation, regulatory filing draft), tool integration into one upstream system, and an evaluation harness. A production agent integrated across SAP, Maximo, ServiceNow, or Epic for ExxonMobil-scale land-record extraction, Halliburton field-service triage, or MD Anderson clinical workflow automation is driven by integration depth and regulatory documentation requirements. Enterprise-wide multi-agent deployments for Fortune 500 energy headquarters add TDPSA-aligned governance, FERC and EPA filing automation, and OSHA-grade audit trails. We quote fixed-fee against signed scope rather than open T and M.

The Texas Medical Center is the largest medical complex in the world and HIPAA enforcement around MD Anderson, Houston Methodist, Memorial Hermann, Texas Children's, and Baylor College of Medicine is unusually strict. For any agent touching PHI we sign a Business Associate Agreement, scope to HIPAA-eligible regions (AWS us-east-1 with HIPAA-eligible services, Azure South Central US with the HIPAA BAA, GCP healthcare-aligned services), tokenise PHI before the model layer ever sees it, log every inference for a six-year minimum retention, and produce a Security Risk Analysis aligned with the HHS Office for Civil Rights audit protocol. For clinical-trial recruitment, prior authorisation, or chart summarisation we keep raw PHI inside the institution's existing Epic or Cerner instance and surface only de-identified summaries to the agent. Final HIPAA responsibility sits with the covered entity's Privacy Officer.

Yes. Texas Railroad Commission filings (drilling permits, completion reports, production reports, plugging affidavits) are a daily operational need for ExxonMobil, ConocoPhillips, Phillips 66, Chevron, Hess, EOG, Occidental, Marathon Oil, and the broader independent operator base. FERC submissions through eLibrary cover pipeline rate cases (Kinder Morgan, Energy Transfer, Cheniere LNG export terminals). EPA CDX handles Clean Air Act and Clean Water Act reporting. Our agents are scoped to draft and summarise these filings against the underlying production data, cite every fact back to the source record, and flag any inconsistency for human review before submission. We never auto-file — final submission stays with the operator's regulatory affairs team. Every draft is logged, versioned, and exportable in the format the relevant agency requires.

Hallucination tolerance on energy and clinical agents is under one percent in Houston, and most projects fail because the team treated the model output as authoritative. We design every agent around explicit citation requirements (every claim ties to a source document with a span-level reference), constrained tool-use schemas (the agent can only call a defined set of functions against validated inputs), retrieval grounding rather than parametric recall (the agent reads the well file, the chart, or the FERC filing fresh on every task), and human-in-the-loop gates on any irreversible action (a filing draft is never auto-submitted, a clinical recommendation is never auto-applied). Evaluation harnesses score citation accuracy, factual consistency, and tool-use correctness on every prompt change. Production deployments run shadow mode for two to six weeks before any user-facing rollout.

The Texas Data Privacy and Security Act took effect July 1, 2024 and applies to businesses processing personal data of Texas residents at scale. For Houston AI agents touching consumer data — Sysco customer accounts, Waste Management residential billing, CenterPoint Energy customer service, TMC patient portals — we run a TDPSA classification during discovery, scope a Data Protection Assessment for any profiling or targeted advertising use case, and document consumer rights workflows (access, deletion, correction, portability, opt-out) end-to-end. PII redaction sits in front of every model call. For agents touching sensitive data categories (health, financial account, precise geolocation, biometric, children's data), additional opt-in consent flows are scoped per the Texas Attorney General's TDPSA enforcement guidance. None of this is retrofitted after a TDPSA inquiry letter arrives.

Yes, scoped carefully. NASA Johnson Space Center work routinely involves NASA contractor agreements (FAR, NASA FAR Supplement), occasional ITAR or EAR controlled technical data, and varying NIST 800-171 or NIST 800-53 control requirements depending on the contract vehicle. SpaceX Houston engineering follows similar export-control discipline. We staff cleared personnel where US-person access is required, segment commercial and restricted tiers across AWS GovCloud (US-West) for ITAR-controlled work and commercial AWS or Azure for non-restricted plumbing, and produce the technical artefacts your empowered official and export compliance counsel need. Final ITAR, EAR, and ATA responsibility sits with the contracting officer and the customer's compliance organisation — we provide the engineering compartmentalisation, not a legal opinion.

A typical Houston production AI agent — a lease-abstraction agent for ExxonMobil or EOG, a prior-authorisation agent for MD Anderson, a field-service triage agent for Halliburton or Baker Hughes — takes fourteen to twenty-four weeks from kickoff to production. Week one to four is data audit, tool-schema design, and baseline retrieval pipeline. Week five to twelve is iteration on prompting, tool-use, and evaluation against an explicit harness. Week thirteen to eighteen is integration into SAP, Maximo, ServiceNow, Epic, Cerner, or the FERC/RRC/EPA filing layer. Week nineteen onward is shadow mode, A/B rollout, and audit documentation for TDPSA, HIPAA, FERC, EPA, or the relevant model risk framework. Multi-agent orchestration spanning multiple upstream systems adds six to twelve weeks. We have shipped to this cadence inside Fortune 500 energy and TMC environments.

When a project requires genuine research — novel reasoning architectures, rare clinical event detection, reinforcement learning for well-control, agent self-correction beyond current state-of-the-art — we scope collaborations with Rice University's computer science department, the University of Houston's engineering programs, or Baylor College of Medicine's clinical AI groups. Rice feeds the local energy-AI talent pipeline directly. Baylor and the broader TMC academic footprint feed clinical informatics. Our core team handles applied engineering, agent orchestration, evaluation harness design, and productionisation, which is where the majority of Houston agent projects actually stall. For standard work we do not bring an academic partner in — it adds cost and timeline without proportional value to the production deliverable.