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DBAI

Production AI systems

Build the AI operating layer for your business.

DBAI designs, builds, deploys and operates production AI systems — agents, automation and custom applications that connect your data, software, people and workflows, and complete real work end to end.

DATA → INTELLIGENCE → AGENTS → ACTIONS → OUTCOMES

Systems we've shipped run on

  • Claude
  • n8n
  • Next.js
  • Neon Postgres
  • Vercel
  • Cloudflare
  • WooCommerce
  • Stripe
  • GoHighLevel

What we build

Four ways we put AI to work

  1. SVC-01

    AI Agents

    Task-specific agents that qualify leads, process orders and route approvals inside the tools you already run — with state, logging and escalation built in.

  2. SVC-02

    AI Automation

    Managed data and workflow pipelines that keep catalogs, records and reports in sync — supplier feeds to storefronts, calls to dashboards, without babysitting.

  3. SVC-03

    Custom AI Applications

    Production software built around your operation: live dashboards, customer portals, internal tools — designed, shipped and operated by DBAI.

  4. SVC-04

    Knowledge Systems

    Retrieval pipelines and internal assistants grounded in your own documents and data, so answers cite your business — not the open internet.

The DBAI operating layer

Your systems, connected and executing

Data becomes decisions, decisions become agents doing defined work, and that work lands back in the systems you already run.

DATA ↓ INTELLIGENCE ↓ AGENTS ↓ ACTIONS ↓ OUTCOMES

  1. DATA

  2. INTELLIGENCE

  3. AGENTS

  4. ACTIONS

  5. OUTCOMES

Every layer feeds the next. Select any node to trace what reaches it and where its output goes — the same routing your systems follow when work actually runs. Hover works too.

Real business work

Work our systems complete

Concrete processes running in production systems we've built — not demos.

  • QUALIFYinbound leads and route them to the right owner
  • RESEARCHaccounts and prepare context before a call
  • UPDATECRM records as conversations progress
  • GENERATEproposals, price sheets and documents
  • SEARCHinternal knowledge and answer with sources
  • MONITORoperational exceptions and flag what breaks
  • ROUTEapprovals to people when judgment is required
  • SUMMARIZEbusiness activity into management reporting
  • SYNCsupplier catalogs into storefronts automatically
  • SCHEDULEfollow-ups so nothing goes quiet

Real proof

Systems in production

Named clients, named stacks, real deployments.

CS-01

Exora INK

CUSTOM APPAREL

DEPLOYED

Problem
A large supplier catalog with no automated connection to the storefront — product data managed by hand.
System
One platform: automated supplier-to-storefront catalog flow, a customer chatbot, and an internal assistant grounded in the same data layer.
Result
Catalog updates flow automatically from supplier to storefront; staff and customers query the same live product data.
  • Claude
  • n8n
  • WooCommerce
  • Supplier feed (SanMar)

CS-02

SimpliLeads

CALL OPERATIONS

DEPLOYED

Problem
Calling-operation metrics scattered across dialer, CRM and billing tools — no single live view of performance.
System
A live operations dashboard unifying call records, rep performance and billing into one screen.
Result
One screen, every number, live — the team reads the whole operation in real time instead of assembling reports.
  • Next.js
  • Neon Postgres
  • Vercel
  • Cloudflare R2
  • BatchDialer
  • GoHighLevel
  • Stripe

CS-03

DTF Tools

PRINT PRODUCTION

DEPLOYED

Problem
Artwork preparation, pricing and quoting were manual bottlenecks between order intake and the press.
System
An AI toolkit portal: image studio with automated QC, pricing calculators, and generated price sheets.
Result
Production-ready artwork and instant, consistent pricing from one portal — checks for dimensions, DPI, transparency and color mode run automatically.
  • AI image pipeline
  • Automated QC
  • Pricing engine

Digital Workers

Meet Erica

A digital worker for multi-step business processes

Erica executes defined business processes end to end — reading documents, emails, forms and system data, deciding against your business rules, and acting across your systems with every step logged.

See how Erica works
  1. PERCEPTION

    Normalizes inputs: documents, emails, forms, records, API payloads.

  2. REASONING

    Decides against your business rules and current process state.

  3. EXECUTION

    Acts across systems: API calls, data entry, documents, workflow steps.

Inputs
DOCUMENTS · EMAILS · FORMS · SYSTEM DATA · API PAYLOADS
Actions
API CALLS · DATA ENTRY · DOCUMENT GENERATION · WORKFLOW STEPS · ESCALATION

Operating philosophy

We operate on the systems we build.

DBAI runs its own operation on the same agent and automation architecture we deploy for clients. The tooling that routes our work, tracks our builds and reports our progress is the tooling we sell — so when we say production-ready, we mean tested on ourselves first.

Process

From discovery to operated system

  1. 01

    DISCOVER

    Map the workflow, the systems it touches, and where judgment lives. Output: a concrete system design, not a slide deck.

  2. 02

    DESIGN

    Specify agents, integrations, data flows and escalation paths against your real stack and constraints.

  3. 03

    DEPLOY

    Ship to production in review mode first — humans approve while the system earns trust, then it runs autonomously.

  4. 04

    OPERATE

    We monitor, maintain and improve the system in production. You own the outcome; we keep it running.

  • DBAI Labs

    Products and working systems

    Labs is where DBAI exposes selected products, experiments and systems we've built and run — production technology, documented as it ships.

    FIRST ENTRIES IN PREPARATION
  • Templates

    Working starting points

    Assistant and pipeline templates our team actually uses — free to take, built to show how we structure real systems.

    • Task Assistant
    • RAG Pipeline
    • Deep Research Report
    • Newsletter Creation
    • Faceless Shorts
  • Workshop

    Stop using Claude like a chatbot

    A one-day, hands-on operating-system workshop: leave with working workflows, a CLAUDE.md architecture, and a 1:1 implementation call.

Put an operating layer under your business.

Bring us the workflow that eats the most of your team's time. We'll show you the system that takes it over.

Book a Discovery Call