AI automation, agents & integration.
From workflow to production.
AI automation for real operations.
Digital gear / ordered particles
Show us where work waits: a recurring request, a disconnected system, or a pilot that never reached production. We trace decisions, data, and handoffs, then implement the workflow with controls and a measurable finish.
Explore AI automation ↗Scroll to navigate
02 / Why Frontmerce
From pilot to operated system
The AI is one part.
The workflow is the product.
Start with one business process: support triage, document intake, approvals, knowledge retrieval, catalog operations, or incident analysis. We map inputs, decisions, exceptions, owners, and the cost of completed work before choosing technology.
Then we connect the required models and software to ERP, CRM, OMS, PIM, content, commerce, identity, and internal APIs. The delivery includes permissions, evaluations, human review, observability, and rollback—not an agent isolated from the operation.
03 / Service field
Hover, focus, or click to explore
One workflow.
Five production capabilities.
We can assess the process, automate the work, connect existing systems, build the software around it, and keep the result observable.
The diagram changes with each capability: workflow, system, interface, journey, or control.
01 / 05
Signal active
AI workflow automation
Turn recurring requests into completed, traceable work.
We redesign repetitive or knowledge-heavy processes as supervised AI workflows that connect people, data, tools, and decisions with explicit completion criteria.
- Business process automation
- Custom AI agents and orchestration
- Document and knowledge workflows
- Approvals, guardrails, and human review
Capability map / 01—05
Five connected capabilities, delivered as one production-minded engineering system.
AI workflow automation & custom agents
Business process automation, document intelligence, approvals, knowledge work, and custom AI agents with human oversight.
AI integration services & intelligent platforms
Models, APIs, identity, data, ERP, CRM, OMS, PIM, content, and commerce connected as one operable system.
Custom AI product & software development
Custom AI software, internal tools, copilots, enterprise search, RAG, and intelligent interfaces designed for production.
Commerce & digital experience engineering
Enterprise commerce, B2B, semantic search, agentic discovery, storefronts, themes, UX, and platform integrations.
AI reliability, evaluation & recovery
Evals, quality gates, guardrails, observability, incident analysis, evidence-backed fixes, and rollback.
04 / Expertise
Depth where it matters
Specialists here.
Capable anywhere.
These are our deepest platform specialties, not the boundaries of our work. We use them as context for AI-enabled products, integrations, and automation—and also architect custom, headless, composable, SaaS, and legacy systems.
∞ / 01
Platform agnostic
Whatever stack the problem calls for.
OpenAI · Anthropic · Gemini · open models · MCP · RAG · TypeScript · JavaScript · PHP · Python · Go · Java · .NET · Node.js · React · Vue · Next.js · Laravel · Symfony · GraphQL · PostgreSQL · MySQL · AWS · Azure · GCP · Kubernetes
AI-native productsModel + data integrationCustom platformsModernization
∞
A / 02
Enterprise specialty
Adobe Commerce
PaaS · SaaS · Cloud · B2B · Hyvä · APIs · extensions · AI readiness
Companies and rolesCatalog + AI discoveryQuotes and approvalsHyvä storefronts
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A / 03
Content + experience
Adobe Experience Manager
AEM Sites · Assets · Forms · Cloud Service · Edge Delivery Services · headless GraphQL · Content Fragments
Universal EditorContent + commerceDAM workflowsComposable delivery
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S / 04
Product, not template
Shopify
Original themes · apps · Functions · Storefront · Admin APIs · agentic commerce
AI discoveryTheme systemsApps and integrationsMerchant operations
↗
X / 05
Extensibility + orchestration
Adobe App Builder + Experience Cloud
Runtime · I/O Events · API Mesh · UI Extensibility · AEP · RT-CDP · Journey Optimizer · Analytics · Target
Event-driven appsOAuth server-to-serverApp Builder actionsAI workflows
↗
05 / AI implementation in operation
From one workflow to controlled execution
From pilot.
To a workflow that finishes work.
We build workflows that read documents, retrieve authorized knowledge, update business systems, prepare approvals, route exceptions, or assist support and engineering. Every action is bounded by identity, permissions, evaluations, human review, logs, cost controls, and rollback.
INFO Waiting for a safe simulation…
Customer service automationSales + CRM workflowsEnterprise search + RAG
Workflow orchestrationDocument intelligenceAgentic commerce
Evals + guardrailsObservability + human approval
Anomaly detectionFailure prevention
06 / The collective
Design + engineering + judgment
Engineers who design.
Design that understands systems.
People who won't let go of the problem.
We are a group of engineers, architects, and graphic designers: geeks, music obsessives, and people stubborn about well-made software. We share a love for taking complex systems apart and returning them clearer, more useful, and more resilient. We can step into roles from mid-level through architecture, according to what the project needs.
01 / Architecture02 / Craft03 / Rhythm04 / Useful obsession
BUILTLOUD.
RUNS
CLEAN.
Enterprise platforms, distributed systems, API contracts, integrations, and technical governance.
Backend, frontend, commerce, cloud, data, production debugging, and legacy modernization.
Visual direction, UX/UI, identity, prototypes, and themes that feel unmistakably yours from the first gesture.
AI products, integrations, agents, RAG, evaluation, guardrails, and operational automation.
07 / How we work
From signal to operable system
Less theater.
More evidence.
Diagnose
Choose one process and map its inputs, decisions, exceptions, owners, current cost, and success metric.
DISCOVERYDesign
Define the target workflow, integrations, access rules, human checkpoints, evaluation data, run cost, and rollback.
DESIGNBuild
Connect software, models, data, and interfaces in testable increments; keep security and evaluation inside the implementation.
BUILDOperate
Track completed tasks, exceptions, latency, model spend, and quality; correct the workflow as real use exposes new evidence.
EVOLVE
08 / New signal
A little context is enough
Tell us what enters the process, who decides, which systems it touches, and where the work gets stuck.