AI Automation
Automate the work your team repeats every week
We design AI automations that take the repetitive steps out of operations — with retries, logs and human review on anything that should not run unsupervised.
Definition. AI automation uses models plus traditional workflow logic to classify, extract, draft or route work. It is still software: queues, failures, ownership and audit trails included.
Manual operations do not fail loudly — they just consume the team
Copying data between tools, triaging tickets and rewriting the same messages are expensive because they hide in headcount.
Hidden queue work
High-skill people spend time on formatting, filing and first-pass sorting.
Fragile zaps
Point-to-point automations break silently when a field changes.
No exception path
When automation cannot decide, work should land with a person — not disappear.
Capabilities
What we build
Specific delivery, not a vague capability list.
Document and email pipelines
Extract, classify and draft follow-ups from inbound operational content.
Ticket and order routing
Send work to the right queue with a recommended action attached.
Catalog and content jobs
Batch enrichment with approval before anything is published.
Solutions
Common implementation scenarios
Support operations
First-pass triage and draft replies, with agents handling send and exceptions.
Ecommerce back office
Reduce manual catalog and order exception handling across Shopify and internal tools.
Internal admin work
Turn recurring spreadsheet processes into a monitored pipeline.
How we work
Development process
01
Discovery
We clarify the business problem, current systems, constraints, success metrics and decision-makers before recommending a build.
02
Strategy
We define the product scope, delivery sequence and commercial trade-offs so engineering work maps to a measurable outcome.
03
Architecture
We design the application, data, integration and security model before implementation starts, reducing rework later.
04
UI/UX
We design the interfaces operators and customers will actually use — with clarity, accessibility and conversion in mind.
05
Development
We implement in short, reviewable increments with staging environments and visible progress against the agreed scope.
06
QA
We test functional flows, edge cases, integrations, performance and release readiness before anything reaches production.
07
Launch
We ship with a controlled cutover, monitoring and a clear rollback plan so go-live is an operational event, not a gamble.
08
Support & Optimization
After launch we stabilize, measure and improve — fixing issues quickly and iterating on the features that affect the business.
Stack
Technologies
- AI APIs
- OpenAI
- Node.js
- PostgreSQL
- Redis
Industries
Where this service is typically used
Ecommerce
We help ecommerce businesses build Shopify experiences, operational AI, mobile clients and the integrations that keep catalog, orders and inventory honest.
SaaS
We help software companies ship AI capabilities, integration surfaces and mobile clients that respect tenancy, metering and a roadmap you can maintain.
Retail
We help retailers connect commerce, operations apps and back-office systems so availability, orders and exceptions are not a manual sport.
Engagement
How we work commercially
Fixed scope
A defined outcome, timeline and budget after discovery. Best when requirements are clear enough to estimate with confidence.
Dedicated team
A stable product squad that works as an extension of your team across a roadmap, not a one-off ticket list.
Ongoing development
Retained engineering capacity for iteration, integrations, maintenance and new capabilities after the first release.
Consulting
Architecture, vendor selection, AI feasibility, Shopify Plus planning or integration design without a full build engagement.
FAQ
Questions about ai automation
Ordinary automation follows exact rules. AI automation can interpret messy input — then still hand off to rules, APIs and people.
Related services
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Design agents that can use tools, follow business rules and complete multi-step work with human oversight.
Learn moreAPI & Integrations
Connect platforms, automate workflows and build reliable APIs that operations can depend on.
Learn moreRelated reading
AI
How AI agents work in a business product
A practical explanation of AI agents: tools, planning, guardrails, evaluation and when a chatbot is the wrong interface. Written for product and operations leaders.
Learn moreShopify
How to integrate AI into Shopify without a storefront gimmick
Where AI actually helps Shopify merchants — Admin, catalog, support and ops — and how to connect models to Shopify APIs with review and permissions.
Learn moreNext step
Identify an automation candidate
Describe a repetitive workflow and the systems it touches. We will tell you what can be automated safely and what should stay manual.