Intake open · Q3 2026 San Antonio, TX Air Force Veteran

Your AI workforce works while you sleep.

We design and build custom AI systems for local San Antonio businesses. Bring Your Own Provider (BYOP): you keep the keys and pay your provider directly, we architect the system. Remote support delivered through end-to-end encrypted tunnels. No office visit required.

StatusIntake open
Next avail.Jun 2026
Agents running24 / 7 / 365
Time-to-pilot4–6 weeks
Security postureSecurity-first
E2E Encrypted Remote Support
Zero-trust · Secure tunnel · On-prem compatible
Services

Six ways we engage.
All tailored. None templated.

Every engagement starts with an honest read of your operation. If AI isn't the answer, we'll tell you and save you the check.

01

AI Readiness Audit

A one-week deep dive into your workflows, data, and costs. Written roadmap of where AI drives savings, and where it won't. Security posture included.

  • 5 business days
  • Deliverable: written memo
  • Fixed fee · $8,400
02

Custom AI System Design

We architect end-to-end systems around the model you choose and pay for. Pipelines, retrieval, guardrails, evals, built to your stack, compliance, and team.

  • 6–12 weeks
  • Bring Your Own Provider · you own the keys
  • Scoped engagement
03

24/7 Agent Workforce

Deploy agents that handle quotes, intake, triage, reporting, and reconciliation around the clock. Your team comes in to decisions, not tasks.

  • Never clocks out
  • Cost per task: fraction of human labor
  • Escalates to you when it matters
04

AI-Integrated Web Development

We build modern websites with AI woven in, not bolted on. SEO automation, marketing copy generation, online scheduling, client intake, and live chat agents.

  • SEO-optimized by AI, reviewed by humans
  • Intake forms → AI triage
  • Booking & scheduling agents
  • Marketing automation pipelines
05

Secure Remote Support

All support delivered remotely through E2E encrypted tunnels. Zero office visit required. On-premises or cloud, we reach your systems securely from anywhere.

  • Zero-trust architecture
  • On-prem compatible
  • No data transits unencrypted
06

Retained Advisory

Monthly reviews of agent performance, cost efficiency, and security posture. Upgrade when it's worth it, not when a vendor says so.

  • Monthly cadence
  • Quarterly cost & ROI readout
  • Cancel any time
BYOP

Your provider. Your keys.
We never touch either.

BYOP means you sign up directly with Anthropic, OpenAI, Google, or whoever you choose. We build the system around your account. You pay your provider at cost, with no markup. We never proxy your requests or store your credentials.

You own the credentials

Your API keys live in your environment. We configure the system to use them. We never see them, store them, or route traffic through us.

Direct billing, no markup

Your usage bill goes straight from the provider to you. No middleman margin. No hidden per-token fees. You see exactly what the model costs.

Switch providers anytime

The system isn't hardwired to one vendor. If Anthropic releases a better model or OpenAI drops prices, you swap without rebuilding from scratch.

Your data, your terms

Data handling is governed by your agreement with the provider, not ours. On-prem deployments mean sensitive data never leaves your network at all.

Remote Support · Security

We reach your systems through encrypted tunnels. No office visit required.

Every support session runs through a zero-trust, E2E encrypted secure tunnel. Your data never leaves your network unencrypted. On-premises or cloud, the security posture is the same.

Protocol
WireGuard / ZTNA
Encryption
AES-256 · E2E
Data retention
Zero (at tunnel)
Deployment
On-prem · Cloud · Hybrid
client-infra.local → [agent]
✓ running
tunnel.session.enc [AES-256]
encrypted
transit → public internet
zero-trust
tunnel.session.dec [verified]
encrypted
r&r-engineer.danielrivera.ai
✓ connected
session.log [client-owned]
✓ auditable
Approach

Four deliberate steps.
Every one produces an artifact.

Step 01Week 1

Listen

Two days on-site or remote. We sit with ops, finance, and front-line staff. No slides, just questions and notes.

Artifact: Pain-point map
Step 02Week 2

Diagnose

We map your workflows to AI patterns we've deployed. Each opportunity is sized by impact, effort, risk, and security surface.

Artifact: Written memo
Step 03Weeks 3–8

Build

Tight loops. Working software every two weeks, deployed on your infrastructure under your keys, via encrypted tunnel.

Artifact: Production system
Step 04Week 9+

Hand off

Runbooks, evals, cost dashboards, a training day. We leave you self-sufficient, or retained, if that's the fit.

Artifact: Operator's manual
Case work

What this could look like
for your business.

Illustrative scenarios. Stats sourced from published industry research — linked in the Sources section below. Real results depend on your stack, team, and operation. We scope honestly before any work begins.

Small business: AI website + native chatbot.

A local service business gets a modern website with a native AI chatbot that answers questions, captures leads, and books appointments 24/7, no staff required after hours.

Tier
Starter
Lead capture
24/7
Suggested model
GPT-4o

Service company: AI site that books jobs.

Online scheduling, automated follow-up, and a weekly SEO content pipeline, the site works while the crew is in the field.

Tier
Starter
SEO content
Auto
Suggested model
GPT-4o

Freight brokerage: AI quoting agent.

A brokerage deploys a retrieval-grounded agent that drafts quote replies against rate history and TMS data. Staff review before send.

Tier
Custom
Quoting cycle
Hours → <30s
Suggested model
Claude

Law firm: AI-assisted contract review.

Clause extraction and flagging with a paralegal-in-the-loop UI. AI handles the first pass, humans make every call.

Tier
Custom
Doc review time
↓ up to 67%
Suggested model
GPT-4.1

Healthcare: intake, scheduling + multilingual AI.

HIPAA-aware intake summarization and 24/7 appointment scheduling, on-prem. No data leaves the building. Staff focus on patients.

Tier
Advanced
Coverage
24/7
Suggested model
Llama 3

Any industry: if it's repetitive, we can automate it.

From a single AI chatbot on your homepage to a full multi-agent back office. We scope to your budget and build what fits. Basic to advanced.

Tiers
All
Budget
Flexible
Timeline
Fast
ROI

Estimate your savings.

Conservative estimates based on published industry benchmarks. Your actual numbers depend on your operation, this is a starting point for the conversation.

Your operation

Adjust to your team. Results update live.

150 staff
2 hrs40 hrs
$20$200/hr
10%70%
McKinsey (2025) estimates ~57% of work hours are automatable with current AI. We default to 50% to be conservative.
Annual labor savings
$0
estimated annual labor savings
Monthly savings
$0
Hours recaptured / yr
0 hrs
Est. build cost
$0
Payback period
-
Illustrative estimate. Not R&R client data. Automation coverage benchmarked against McKinsey Global Institute (2025). Agent model costs (~$80–$400/mo) not included — you pay your provider directly. See Sources below.
Team

Small team.
Serious capability.

Daniel Rivera

Owner-Operator · Security & Strategy

Air Force veteran. Cybersecurity engineer. Builds systems that cut costs, close gaps, and run efficiently. Security-first mindset. Transparent on scope. Honest about risk. No surprises.

USAF Veteran · Cybersecurity Engineer
AI & Systems Architecture · San Antonio, TX

Ren

AI Partner · Operations & Intelligence

Daniel's AI partner. Built on the Jelly framework. Handles operations intelligence, engagement prep, and system monitoring. Sharp, direct, and always on. No downtime. No drift.

AI Partner · Operations & Intelligence · 24/7

Start a conversation.
First consultation is free.

Tell us what's slow, expensive, or frustrating about your operation. We'll give you an honest read on whether AI can help. If we agree it's a good fit, we move to scoping. No pressure, no pitch deck.

Website

Email

Location
San Antonio, TX

Consultation
Free · 30 minutes · No commitment
Sources

Stats and benchmarks cited on this page are sourced from published third-party research. We don't invent numbers. If you want to dig into the methodology, here's where they came from.

  1. [1] McKinsey Global Institute (Nov 2025) — "57% of work hours are automatable with current AI." Used as the ceiling for automation coverage in the ROI calculator. mckinsey.com
  2. [2] Everlaw / Am Law 100 case study (2025) — GenAI reduced document review time by two-thirds (up to 67%) at a major law firm. Source for the law firm doc review stat. everlaw.com
  3. [3] C.H. Robinson (2025) — AI reduced freight quoting cycle from hours to under 30 seconds; 30% productivity gain across 2023–2024. Source for the freight brokerage scenario. chrobinson.com
  4. [4] ABA Legal Technology Survey (2024) — 54.4% of attorneys cite time savings as the primary benefit of AI. Context for legal AI adoption. lawnext.com
  5. [5] Nextiva / Salesforce (2025) — AI chatbots deliver ~30% reduction in customer support costs; 3x better lead conversion vs. web forms. Context for chatbot and scheduling scenarios. nextiva.com

All scenarios on this page are illustrative, built from third-party research. Your results will vary based on your specific operation, team, and implementation.

Tweaks