AI & Automation
Wired Into Your Stack
AI assistants, lead intake and routing, content pipelines, and ops automations — built on your data and connected to the tools you already use.
What is AI automation?
AI automation is the use of large language models and workflow tooling to handle tasks that used to need a person — answering questions, routing leads, drafting content, and running operational checks — reliably and at scale. Done well, it removes busywork while keeping a human in the loop where judgment matters.
Dock30 builds AI assistants for chat, ticketing, and docs Q&A (grounded in your own content); lead intake and routing that connects forms to your CRM with smart alerts; content pipelines that take a brief from draft to publish; and ops automations for invoices, reports, and compliance checks. Each automation is monitored, logged, and built to fail safely.
What we automate
Four high-leverage automations cover most teams — each built on your data and connected to your existing tools.
AI Assistants
Chat, ticketing, and docs Q&A grounded in your own content (RAG), so answers are accurate, current, and on-brand — with human handoff when it counts.
Lead Intake & Routing
Forms that feed your CRM with enrichment, scoring, and instant alerts, so the right lead reaches the right person without manual triage.
Content Pipelines
Brief-to-publish workflows that draft, format, and route content for review — keeping your team in control of voice and approval.
Ops Automations
Invoices, reports, and compliance checks handled automatically, with logging and alerts so nothing slips and everything is auditable.
Concrete deliverables, not a deck
- AI assistant grounded in your docs with human handoff
- Automated lead capture, enrichment, scoring, and routing
- Brief-to-publish content workflow with review gates
- Scheduled ops automations with logging and alerting
- Monitoring and guardrails so automations fail safely
Built on a modern, proven stack
How we ship, end to end
Every engagement runs the same four-phase process — so you always know what is happening and what comes next.
Blueprint
Discovery call, scoped brief, design tokens, and a component library. We lock the architecture and success metrics before a line of production code ships.
Trials
Responsive testing, performance budgets, and test coverage. Every build is measured against real-device benchmarks and accessibility passes.
Dock
Production code, sprint planning, and a release pipeline. CI/CD with staged delivery, progressive rollouts, and a rollback plan on every deploy.
Launch
Observability, product analytics, runbooks, and SLAs. We instrument what matters and hand you a system you can actually operate.
Questions, answered
Still unsure? Book a free 15-minute call and we will scope it with you directly.
We build AI assistants for chat, ticketing, and docs Q&A; lead intake and routing with CRM integrations; content pipelines for brief-to-publish workflows; and ops automations for invoices, reports, and compliance checks.
Yes. We use retrieval-augmented generation (RAG) so the assistant answers from your docs, help center, or knowledge base — keeping responses accurate and current, with a human handoff path for edge cases.
We connect to CRMs and ops tools like HubSpot, Zoho, Zendesk, and Salesforce, and orchestrate workflows with Zapier, Make, and custom code — whatever your stack already runs on.
Every automation is monitored and logged with alerting and guardrails, designed to fail safely and keep a human in the loop where judgment matters. You stay in control of approvals and voice.
We build on leading models including OpenAI's GPT family and Anthropic's Claude, choosing per use case for quality, latency, and cost — and keeping the architecture model-agnostic so you're not locked in.