Jensen Huang said every company needs one. We build it for you.

TAG AI deploys hundreds of AI Employees on the OpenClaw framework, the operating system of agentic computers. We design the system. The AI workforce runs your business while you sleep.

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Backed by data NVIDIA, PwC, Deloitte, and Gartner just released · See the signals →

The platform shift already happened

On March 16, 2026, NVIDIA CEO Jensen Huang stood in front of 30,000 people and declared every company in the world needs an OpenClaw strategy. He compared it to Linux. To HTML. To the cloud. The framework hit 250,000 GitHub stars in 60 days, faster than any software project in history. The race already started. The companies that build their agent layer now will own the next decade. TAG AI deploys hundreds of AI Employees on OpenClaw, the operating system of agentic computers, configured for your business, integrated with your existing tools, live in 30 days.

01

The OpenClaw Layer

We deploy AI Employees on OpenClaw, the open-source agentic framework Jensen Huang called the most important software release ever. Sandboxed execution, multi-agent orchestration, enterprise-grade security via NemoClaw.

02

Your AI Workforce

Hundreds of specialized AI Employees, each one trained for a specific job in your business. Receiver reads. Scout researches. Author writes. Designer formats. Courier delivers. They hand off work to each other and execute autonomously, around the clock.

03

Live in 30 Days

Most consulting firms deliver slide decks in six months. We deliver a working AI workforce in 30 days, integrated with your CRM, your email, your databases, and your existing systems. Outcomes you can measure on day one.

Your competitors are building their OpenClaw strategy right now. The 20% that move first will capture 74% of the value. PwC said it. The data is in. The window is measured in months.

Build my OpenClaw strategy See the signals

The orchestration stack

We orchestrate the leading AI providers behind a single safety layer. Frontier models for reasoning, NVIDIA for runtime, and OpenClaw for agentic execution — wired into your data, your APIs, and your enterprise systems with policy controls baked in.

Enterprise AI Agent Stack: Microsoft Azure surrounding a deployment layer, sandbox runtime, and orchestration runtime (L0–L8), with a parallel agent swarm, multi-tenant isolation, and four trust pillars: security, governance, tenant isolation, and time compression.

OpenAI

GPT · o-series

Anthropic

Claude

Gemini

Google

NVIDIA

NemoClaw · NIM

Microsoft Azure

Foundry · Graph

AWS

Bedrock

OpenClaw

Agentic runtime

Four orchestration benefits: One-command setup, Built-in safeguards, Agentic workflows, and Flexible execution.

  • One-command setup

    Deploy a full agent stack in minutes, not quarters.

  • Built-in safeguards

    Policy, audit, and approval gates by default.

  • Agentic workflows

    Skills, memory, and tools orchestrated end-to-end.

  • Flexible execution

    Run on cloud, on-prem, or at the edge — your call.

Stack diagram inspired by NVIDIA NemoClaw — reimagined for TAG AI deployments.

If you run a business

  • You wrote the same proposal manually for the tenth time this month
  • A hot lead went cold because follow-up fell through the cracks
  • You bought three AI tools and none of them talk to each other
  • Your competitor just automated their sales team and you are still doing it manually
  • You know you are leaving revenue on the table and you do not know where

If you advise businesses

  • Your enterprise clients are asking about AI and you cannot answer with confidence
  • You have the relationships but you do not have the AI architecture
  • Every vendor you talk to is selling their tool, not solving the actual problem
  • You are watching AI become the reason clients switch advisors
  • You want to lead the AI conversation and you just need the right architect behind you

TAG AI fixes exactly this. For both of you.

· how ·

Each one replaces a workflow humans used to run. Built, deployed, and operating today — scroll to see each in motion.

01 / 07● IN PRODUCTION

Bid → Proposal

An RFP lands in the inbox. By the time a human reads it, our AI Employees have already drafted, branded, and delivered the proposal. RFP to signed proposal in roughly 12 minutes.

throughput
RFP → signed proposal in ~12 min
  1. R
    01 · AgentReceiverreads the inbound bid and classifies it
  2. S
    02 · AgentScoutpulls matching past projects for reference
  3. A
    03 · AgentAnalystbreaks down scope, timeline, and requirements
  4. A
    04 · AgentAuthordrafts the proposal narrative
  5. D
    05 · AgentDesignerapplies the brand template and formats
  6. C
    06 · AgentCouriersends it off and logs it in the CRM
02 / 07● IN PRODUCTION

Research → Sales

A target account list goes in. Our AI Employees research, profile, and personalize 50 conversations per day — every prospect getting the right message at the right moment.

output
50 personalized conversations / day
  1. H
    01 · AgentHunterfinds target accounts that fit the ICP
  2. O
    02 · AgentObserverwatches public signals — hires, funding, news
  3. P
    03 · AgentProfilerbuilds a dossier on every account
  4. S
    04 · AgentStrategistpicks the right message and the right moment
  5. M
    05 · AgentMessengersends the personalized outreach
  6. T
    06 · AgentTrackermonitors replies and routes them home
03 / 07● LIVE

Website Audit → AI Redesign

A zip code goes in. Our AI Employees find underperforming local businesses, audit their sites on six dimensions, rebuild them as three AI-powered mockups, and send the outreach. Full pitch package in roughly 3 minutes.

throughput
prospect → full pitch package in ~3 min
  1. S
    01 · AgentSpotterfinds underperforming local businesses
  2. I
    02 · AgentInspectoraudits their site on six dimensions
  3. E
    03 · AgentExtractorpulls brand, services, team, reviews, FAQs
  4. A
    04 · AgentArchitectrebuilds the site as three AI-powered mockups
  5. S
    05 · AgentScribewrites the three-act pitch report
  6. P
    06 · AgentPublisherdeploys everything live
  7. E
    07 · AgentEnvoysends the outreach email with all the links
04 / 07● IN PRODUCTION

Raw Footage → Full Production Video

Raw clips go in. Our AI Employees edit, score, narrate, caption, and publish a polished production video. Raw to published in under an hour, no editor needed.

turnaround
raw clips → published video in under an hour
  1. I
    01 · AgentIngestortakes in raw footage and organizes it
  2. E
    02 · AgentEditorcuts, paces, and selects the best takes
  3. S
    03 · AgentScorerwrites or matches music and sound design
  4. N
    04 · AgentNarratorgenerates the voiceover
  5. F
    05 · AgentFinishercolor grades, captions, and polishes
  6. P
    06 · AgentPackagerexports in every format and uploads
05 / 07● IN PRODUCTION

Outreach → Lead

An ICP definition goes in. Our AI Employees run 300 personalized touches per day across email, LinkedIn, and SMS, qualify the replies, and book the meetings while you sleep.

output
300 personalized touches / day
  1. L
    01 · AgentListerbuilds the target list from ICP filters
  2. E
    02 · AgentEnricherfills in and validates contact data
  3. C
    03 · AgentComposerdrafts a personalized message for every prospect
  4. D
    04 · AgentDispatchersends across email, LinkedIn, and SMS
  5. S
    05 · AgentSentrywatches inboxes for replies
  6. R
    06 · AgentRouterqualifies responses and books the meeting
06 / 07● IN PRODUCTION

Content Calendar → 500 Posts a Day

One content calendar goes in. Our AI Employees write, design, schedule, and publish 500 on-brand social posts every day.

velocity
500 on-brand posts / day
  1. P
    01 · AgentPlannerreads the calendar and knows today's themes
  2. W
    02 · AgentWriterdrafts copy for every post
  3. V
    03 · AgentVisualizergenerates images and graphics to match
  4. R
    04 · AgentReviewerchecks brand voice and flags risks
  5. P
    05 · AgentPosterpublishes each post on schedule
  6. A
    06 · AgentAnalysttracks engagement and feeds it back upstream
07 / 07● IN PRODUCTION

Addresses → Showing Package

A list of addresses goes in. Our AI Employees pull data, build comps, generate walkthroughs, assemble the packet, and deliver to the agent's phone in minutes.

turnaround
address list → full showing packet in minutes
  1. L
    01 · AgentLocatorpulls property data for every address
  2. H
    02 · AgentHistoriandigs up sale history, permits, and neighborhood context
  3. A
    03 · AgentAppraiserbuilds comps and highlights selling points
  4. S
    04 · AgentStagerpulls photos and generates walkthroughs
  5. C
    05 · AgentCompilerassembles the packet — one page per property + the route
  6. C
    06 · AgentCourierdelivers it to the agent's phone

For technology advisors

Your clients are asking about their OpenClaw strategy. Every week you wait, a competitor answers that question instead of you. This two-hour strategic session gives you the working knowledge to lead the AI conversation with your leadership team and your enterprise clients, backed by a firm running hundreds of AI Employees in production right now.

What is covered

  • The real mechanics of AI: LLMs, functions, and agents — taught the way you would explain it to a skeptical CIO
  • How AI strengthens your existing stack: contact center, cybersecurity, network monitoring, customer support
  • The OpenClaw and NemoClaw frameworks: what Jensen Huang announced and what it means for your enterprise clients
  • The AI readiness conversation: what questions to ask, how to identify who is ready, how to close the deal
  • The economics: what this costs to build, why the margin model works, how it creates recurring revenue
  • Your advantage: you have the relationships, we have the AI workforce

What you leave with

A strategy document for your leadership team. A clear path to bringing AI readiness to your clients. The confidence to lead the conversation.

$2,500

Two-hour strategic session. Payment confirms the booking.

Book the session

No sales pitch. No vendor demos. No generic frameworks. Everything taught is from systems actually running in production with hundreds of AI Employees.

· art ·

Behind the systems.

TAG AI operates with the leverage of an entire workforce. Our human team — Gus and Julian Sanchez — designs and orchestrates the systems. Hundreds of AI Employees, also known as AI Agents, run inside those systems around the clock. They draft proposals, qualify leads, follow up with prospects, generate content, dispatch outreach, and deliver outcomes while our human team sleeps. Most agencies hand you tools. We hand you a workforce.

Hundreds of AI Employees. Two human architects. One operating system for your business.

Reach out

We reply within the day. Usually within the hour.

Which one are you?

Your reply lands directly with Gus and Julian. No automated triage. No chatbots gating you out.