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05 // AI WORKFORCE AUTOMATION

AI SYSTEMS BUILT
FOR AGENCY SCALE.

We engineer custom, autonomous AI teammates for support, sales, Shopify store ops, vector RAG knowledge bases, and operational workflows silently under bilateral NDA.

START A CONVERSATION → EXPLORE AI SYSTEMS →
100% PRIVATE DATA BOUNDARY
ZERO PUBLIC MODEL TRAINING
VECTOR RAG & HYBRID SEARCH
SUB-100MS EXECUTION LOOPS
BILATERAL NDA PROTOCOL
42-POINT PRE-FLIGHT QA AUDITS
100% PRIVATE DATA BOUNDARY
ZERO PUBLIC MODEL TRAINING
VECTOR RAG & HYBRID SEARCH
SUB-100MS EXECUTION LOOPS
BILATERAL NDA PROTOCOL
42-POINT PRE-FLIGHT QA AUDITS
INTELLIGENT INFRASTRUCTURE

"Your agency owns the client relationship, brand spotlight, and account strategy. We engineer the AI automation, agent architectures, and vector RAG systems behind it."

02 // ENTERPRISE AI CAPABILITIES

AI TEAMMATES BUILT FOR CORE OPERATIONS

Autonomous AI systems engineered to run high-volume support, store operations, knowledge retrieval, and workflow automation under strict NDA.

01

AUTONOMOUS SUPPORT AGENTS

Gorgias and Zendesk vector RAG pipelines that ingest ticket context and resolve customer inquiries 24/7 with human-in-loop escalation.

GORGIA & ZENDESK RAG →
02

SHOPIFY STORE OPS TEAMMATES

Automated webhook bots handling inventory sync, catalog tagging, order routing, and fulfillment tracking loops.

STORE OPS AUTOMATION →
03

VECTOR RAG KNOWLEDGE BASES

High-dimensional vector embeddings indexing technical documentation, SOPs, and product data for instant semantic search.

SEMANTIC VECTOR RAG →
04

SALES & LEAD QUALIFICATION

Automated lead scoring, qualification dialogs, and calendar booking bots integrated into agency CRM pipelines.

CRM & LEAD AGENTS →
05

SEO INTELLIGENCE AGENTS

Server log diagnostic agents monitoring crawl budget leaks, HTTP status anomalies, and internal linking opportunities.

LOG DIAGNOSTICS BOTS →
06

WORKFLOW & API AUTOMATION

Custom Webhook, FastAPI, and LangChain loops connecting legacy databases, ERPs, and agency project management tools.

FASTAPI & LANGCHAIN →
07

CUSTOM LLM FINE-TUNING

Domain-specific model fine-tuning and prompt engineering inside isolated, private tenant security boundaries.

PRIVATE MODEL TUNING →
08

DEDICATED AI PODS

160h/month dedicated AI developer pods operating invisibly under your agency brand with sub-15m Slack SLAs.

160H AI POD POOLS →
03 // AI EXECUTION PIPELINE

HOW THE AI WORKFORCE OPERATES

A deterministic 6-stage data and agent pipeline engineered for sub-100ms response loops.

01 // INGESTION

Data & Event Ingestion

Webhook listeners ingest customer queries, store webhooks, or API triggers in real-time.

02 // EMBEDDING

Vector Embedding

Converting text and catalog data into high-dimensional vector embeddings for semantic search.

03 // ROUTING

Agent Intent Routing

Evaluating query intent and dispatching the task to the specialized AI teammate module.

04 // RETRIEVAL

Contextual RAG Retrieval

Retrieving precise knowledge artifacts from private vector databases with zero public exposure.

05 // EXECUTION

Action Loop Execution

Executing API calls, updating order statuses, or generating contextual support responses.

06 // HUMAN-IN-LOOP

Human-in-Loop QA

Low-confidence edge cases automatically route to internal agency Slack channels for review.

04 // WHITE-LABEL OPERATING MODEL

WHITE-LABEL AI ARCHITECTURE

How TeamOnTime AI infrastructure integrates silently behind your agency brand.

AGENCY FRONT

YOUR BRAND

Client Relationship, AI Strategy, Account Leadership & Branding.

TEAMONTIME AI ENGINE

AI INFRASTRUCTURE

Autonomous agents, vector RAG & workflow pipelines under bilateral NDA.

VECTOR RAG
SUPPORT BOTS
SHOPIFY STORE OPS
SEO AGENTS
PRIVATE EMBEDDINGS
42-POINT QA
OUTCOME

CLIENT DELIVERY

Autonomous 24/7 AI systems operating under your agency name.

05 // ENGAGEMENT MODELS

FLEXIBLE AI DEPLOYMENT MODELS

From one-off agent builds to dedicated 160h/month AI engineering pods.

[MODEL 01 // SUPPORT]

Customer Support RAG

Full setup of Gorgias or Zendesk vector RAG support bots with human escalation rules.

[MODEL 02 // STORE OPS]

Shopify Store Ops Bot

Automated inventory management, order routing, and tagging bots for high-volume stores.

[MODEL 03 // RAG KNOWLEDGE]

Internal Agency Knowledge Base

Indexing agency SOPs, client briefs, and technical documentation into private vector search.

[MODEL 04 // PODS]

160h/mo Dedicated AI Pod

Dedicated AI software engineers working full-time on custom models and workflows under NDA.

06 // ENGINEERING STACK

TECHNICAL AI CONSTELLATION

Enterprise-grade libraries, vector databases, and private model environments.

[STACK 01]

Vector DB & Hybrid Search

Pinecone, Qdrant, ChromaDB, and pgvector embeddings.

[STACK 02]

LLM Orchestration

LangChain, LlamaIndex, Python 3.11, and FastAPI loops.

[STACK 03]

Strict Data Privacy

Zero public model training, isolated tenant VPCs, and SOC2 compliance.

[STACK 04]

Performance Integration

Sub-100ms execution loops with 95+ Core Web Vitals compatibility.

07 // PROOF & ARTIFACTS

FEATURED AI CASE STUDY

Verified AI workforce engineering outcomes delivered for enterprise client operations.

[FEATURED ARTIFACT // AI WORKFORCE SYSTEM]

Enterprise E-Commerce AI Support & RAG Knowledge Engine

Engineered an autonomous Gorgias vector RAG support bot and Shopify catalog sync pipeline handling customer inquiries under bilateral NDA with sub-100ms vector retrieval loops and structured fallback escalation.

VECTOR RAG
Autonomous Gorgias & Shopify Catalog Pipeline
VIEW FULL CASE STUDY ARTIFACT →
08 // FREQUENTLY ASKED QUESTIONS

AI WORKFORCE FAQ

Everything agencies need to know about deploying autonomous AI teammates.

What is an autonomous AI workforce teammate? +
An autonomous AI workforce teammate is a custom-engineered AI agent that handles specific operational workflows—such as customer support ticket ingestion, Gorgias vector RAG search, Shopify store ops webhooks, and automated reporting—operating 24/7 without manual intervention.
How does vector RAG pipeline integration work for e-commerce stores? +
Vector Retrieval-Augmented Generation (RAG) indexes your store's product catalog, order history, and help center documentation into high-dimensional vector embeddings. When customer queries arrive, the AI retrieves relevant knowledge in real-time to deliver precise, context-aware responses.
Are TeamOnTime AI Workforce systems safe under agency NDA? +
Yes. All AI pipelines, API keys, and training vectors are kept strictly private inside enterprise tenant environments. Zero client data is used for public model training, and all code is covered under a bilateral NDA.
What AI frameworks and vector databases does TeamOnTime engineer with? +
Our AI engineers specialize in LangChain, LlamaIndex, Python 3.11, FastAPI, Pinecone, Qdrant, ChromaDB, and pgvector embeddings with isolated VPC security boundaries.
How quickly can a dedicated AI developer pod be deployed? +
Dedicated 160h/month AI developer pods can be onboarded and integrated into your agency Slack and repository within 48 to 72 hours.
CLIENT HAS THE SPOTLIGHT

TEAMONTIME BUILDS THE ENGINE.