Capabilities

The building blocks behind your digital operations.

These are engineering capabilities, not products. Each project combines the ones it needs, from setting up the digital foundation to automating the work around the systems your business uses.

How the building blocks fit together.

A typical automation runs through several layers, from the event that starts it to the systems it updates.

  1. trigger

    Events and triggers

    • email received
    • webhook
    • order created
    • schedule
  2. workflow

    Workflow engine

    • state
    • queues
    • rules
    • retries
    • human approval
  3. ai

    Applied AI, where it helps

    • extraction
    • classification
    • reasoning
  4. integration

    Integration layer

    • REST
    • OAuth
    • database
    • file exchange
  5. systems

    Your existing systems

    • ERP
    • accounting
    • Microsoft 365
    • storefront
Example architecture. Which layers a workflow uses depends on the process; not every workflow needs AI.

Capability areas

Digital Foundation

Designing and setting up the core environment a business runs on, before anything is connected or automated.

  • Microsoft 365 tenant setup
  • identity and access
  • cloud infrastructure
  • email and collaboration
  • business applications
  • basic security
  • domains and services

This is architecture and setup work, delivered as a project. We design and set up the foundation; we don't run your IT day to day.

Systems Integration

Reliable system-to-system communication.

  • REST APIs
  • webhooks
  • OAuth
  • service accounts
  • databases
  • vendor APIs
  • middleware
  • custom connectors

Workflow Engineering

Predictable business logic that keeps working when real operations get messy.

  • event triggers
  • workflow state
  • business rules
  • queues
  • retries
  • scheduling
  • approval gates
  • exception handling

Applied AI

Interpretation, extraction and reasoning for steps that rules cannot reliably handle. See AI automation.

  • LLM integration
  • structured output
  • document understanding
  • classification
  • extraction
  • tool calling
  • agent workflows
  • human-in-the-loop AI
  • AI evaluation

Cloud Engineering

Running automation in production, with the operational tooling it needs.

  • AWS
  • containerised workloads
  • serverless architecture
  • CI/CD
  • infrastructure automation
  • observability
  • logging
  • secure API deployment

Custom Software

Software for the parts of a workflow that existing tools cannot support.

  • backend services
  • middleware
  • internal tools
  • integration services
  • operational applications
  • dashboards when required

Custom software supports the automation. WiseLink builds the services and tools that connect systems; generic website building is not a core capability.

  • Handled by software
  • Human judgement or approval

Operational technology

Where digital operations meet physical goods and devices. Capabilities here are still in development.

Start with the operation, not the technology.

Describe what happens today or where you want to get to. We will work out which building blocks it needs.