Shoppeal
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AI & Software Engineering: Business Operations

Your systems work.
The gaps don’t.

Shoppeal builds the AI and software layer that connects business processes, automates operational work, and handles the exceptions your existing systems leave behind.

AI Engineering-Software Engineering-Data & Systems Engineering

Engineering Capabilities

AI Decisioning
Workflow Automation
Systems Integration
Data Pipelines
API Engineering
Human-Approved AI
Legacy Modernization
Cloud Infrastructure
AI Decisioning
Workflow Automation
Systems Integration
Data Pipelines
API Engineering
Human-Approved AI
Legacy Modernization
Cloud Infrastructure

The Gap

The systems work.
The gaps between them don't.

An exception falls outside the happy path.

AI Engineering

Manual work piles up around your core systems.

Software Engineering

Your systems don't share the full picture.

Data & Systems Engineering

What We Build

Three disciplines.
One operation.

Applied together to the work between your business systems: AI that decides, software that runs the operation, and the data layer that connects it all.

01

AI Engineering

AI that understands context, applies your rules, and recommends the next action.

  • LLM application development and integration
  • Retrieval and context assembly across documents, records, and systems
  • Decision-rule and policy encoding for consistent recommendations
Explore capability
02

Software Engineering

Production software for the operational work your core systems don't cover.

  • Internal tools and operational applications
  • Product and platform engineering (web and mobile)
  • Legacy modernization and technical-debt reduction
Explore capability
03

Data & Systems Engineering

Connect the systems and data that operational decisions depend on.

  • System integration (ERP, MES, QMS, CRM, supplier portals)
  • Data pipeline design and orchestration
  • API development and system connectivity
Explore capability

Exception-to-Action Engineering

Understand it.
Decide it. Prove it.

See it applied
01

Understand

Exception Map + Baseline Sheet

Map the real workflow (inputs, systems, people, decisions, and handoffs) and measure how often it happens, how long it takes, and what it costs today.

02

Decide

Context Map + Decision Rulebook

Identify where the evidence lives across your systems, and document the business rules, thresholds, and evidence requirements a recommendation should follow.

03

Approve

Human Approval Flow

Every recommendation is reviewed, approved, rejected, or escalated by a person before anything happens: reviewed and audited, not automatic.

04

Measure

Measurement Report

Compare the new workflow against the original baseline (time, reliability, and business impact) before deciding whether to go further.

Phase 2: Controlled Execution

Execute: Action Layer

Once the pilot has proven reliable, add approved system write-back, task creation, and workflow execution, with monitoring and escalation built in.

Also from Shoppeal

BoundrixAI: a governance layer for AI systems in production, built by our own team.

See architecture

Have an operational
problem worth solving?

Tell us what's happening in your operation. We'll help you identify the right first step.