Service · Build

Claude Workflow Implementation.

Airclerk builds governed Claude workflows that connect to real systems, documents and teams - designed for regulated financial and professional services in New Zealand and Australia, sized for production.

01 / What we build

Production-grade Claude workflows.

Not chatbots. Workflow software with Claude at the centre - designed so the model does the judgement work and the platform handles state, evidence and control.

  • Claude-powered workflows with explicit state and handoffs
  • MCP servers and custom Claude tools
  • Document ingestion, parsing and analysis
  • Human approval flows and review queues
  • Audit logs and evidence capture
  • Permission-aware data access
  • Evaluation and monitoring frameworks
02 / Example workflows

Patterns we've built before.

Most insurance work clusters around document-heavy review and triage. These are the shapes we know.

PATTERN-01

Underwriting document review

Submission packs, prior policies, claims history, missing-information detection, evidence-based recommendations.

PATTERN-02

Claims file summarisation

Chronology, key issues, outstanding actions, evidence and citations across large claims files.

PATTERN-03

Renewal pack comparison

Compare current and prior year, identify changes, draft broker follow-up, track renewal state.

PATTERN-04

Broker inbox triage

Classify shared-mailbox traffic, detect urgency, flag missing documents, draft responses.

PATTERN-05

Policy wording comparison

Compare versions, identify exclusions, changes and coverage differences with evidence.

PATTERN-06

Internal knowledge assistant

Permission-aware search across policies, procedures and documentation with citations.

03 / How we work

An implementation discipline, not a demo.

01

Start from a readiness sprint or a defined workflow.

We don't start with an open whiteboard. The first workflow is chosen on evidence.

02

Scope tightly.

One workflow at production quality beats five demos that never ship.

03

Build around existing systems.

Document repositories, CRMs and core platforms stay the systems of record. Claude becomes the interface.

04

Design governance from day one.

Audit, approval and evaluation patterns are part of the architecture - not a later phase.

05

Avoid unnecessary new UI.

Where Claude itself can be the workbench, we let it. Custom UI only where it actually earns its place.

Recommended starting point

Readiness Sprint first.

Every implementation engagement starts from a clear plan. Most clients begin with the fixed-price Readiness Sprint.

View the sprint
04 / Common questions

Claude Workflow Implementation FAQ.

01What does a Claude workflow implementation engagement involve?

Airclerk builds production-grade Claude workflows - not chatbots, but workflow software with Claude at the centre, where the model does the judgement work and the platform handles state, evidence and control. A typical build includes scoping, prompt and tool design, MCP and connector integration, document ingestion and analysis, human approval flows, audit logs, an evaluation harness and an operating model handover.

02How do these workflows connect to our existing systems and permissions?

Airclerk builds around your existing systems: document repositories, CRMs and core platforms stay the systems of record, and Claude becomes the interface to them. Integration is handled through MCP servers and custom Claude tools, and data access is permission-aware, so workflows respect who is allowed to see what.

03How is human oversight and governance built into the workflows?

Governance is designed from day one as part of the architecture, not bolted on later - audit, approval and evaluation patterns are built in rather than added as a later phase. In practice that means human approval flows and review queues, audit logs and evidence capture, and evaluation and monitoring frameworks, so a person stays in the loop on the decisions that matter.

04How does a workflow build relate to AI Process Assurance?

The workflows Airclerk builds are instrumented to produce evidence - audit logs, approvals and capture of what runs through them - which is the foundation of its AI Process Assurance approach: chartering the path the work should follow, recording what actually happened, and retaining an AI Workpaper. Airclerk records the work that runs through the workflows and tools it builds; it does not claim to capture everything outside those instrumented rails.

05How do we get started, and what kinds of workflows do you build first?

Most clients begin with the fixed-price Readiness Sprint, which produces a clear plan so the first workflow is chosen on evidence rather than from an open whiteboard. Airclerk scopes tightly - one workflow at production quality beats five demos that never ship - and common starting patterns include underwriting document review, claims file summarisation, renewal pack comparison, broker inbox triage, policy wording comparison and a permission-aware internal knowledge assistant.