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Six ways we get AI into production

Every engagement moves through strategy, build and operation — you can start anywhere, but the full path is what makes agents stick.

01 · Advisory

AI Strategy & Readiness

Before any build, we work out where AI actually pays off in your operation — and where it doesn't. This stage protects you from expensive pilots that never reach production.

  • No clear view of which workflows are worth automating
  • Uncertainty about data quality, system access, or vendor lock-in
  • No internal policy for what AI is and isn't allowed to do
Opportunity AssessmentWorkflow mapping and automation scoring across your operation
Data & Systems AuditWhat's usable today, what needs cleanup or integration work first
ROI ModellingTime/cost saved per workflow, weighed against build and run cost
Build-vs-Buy GuidanceWhen an off-the-shelf tool beats a custom agent, and vice versa
AI Governance FrameworkUsage policy, approval thresholds, and risk tiers before deployment
Staff Upskilling WorkshopsPractical sessions so your team can operate and trust the tools
02 · Flagship

Agent & Agentic Workflow Development

This is the core of what we build: software that reads documents, checks them against your systems, makes a recommendation, and — where you allow it — acts, all with a human able to step in at any point.

  • Manual, repetitive document and data work eating billable or processing hours
  • Existing chatbots that can answer questions but can't take action
  • No visibility into why an AI system made a given decision
Custom Agent DesignSingle- and multi-agent systems scoped to a specific workflow
OrchestrationMulti-step, multi-agent pipelines with defined handoffs and retries
RAG over Your Knowledge BaseAgents grounded in your policies, precedent and documents — with citations
Tool & API IntegrationAgents that can query, write and act inside your real systems
Human-in-the-Loop GatesConfigurable approval thresholds by risk, value or confidence
Monitoring & ObservabilityDashboards showing every agent run, decision and outcome
03 · Vertical

Industry-Specific Solutions

Pre-scoped agent patterns for accounting, finance, insurance and legal teams — built on what we've seen work in each vertical, then adapted to your specific systems and policies.

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AccountingAP/AR, reconciliation, close, tax research
FinanceFP&A, fraud detection, credit risk
InsuranceClaims, underwriting, policy Q&A
Legal TechContract review, research, e-discovery
04 · Engineering

Integration & Data Engineering

Agents are only as good as their access to real data. We connect them cleanly and securely to the systems you already run — no rip-and-replace required.

  • Data locked in legacy or siloed systems with no clean API
  • Documents arriving as scans, PDFs or emails with no structure
  • No reliable pipeline moving data between systems today
Practice & Accounting SystemsXero, MYOB, QuickBooks, and core ledgers
CRM & Case ManagementSalesforce and legal/insurance practice management tools
Document Ingestion & OCRStructured extraction from scans, PDFs and inboxes
Secure Data PipelinesWarehousing and transformation with access controls built in
05 · Trust

Security, Compliance & Governance

The reason most AI pilots stall in regulated industries is trust, not technology. We build the governance layer in from day one, not bolted on after.

  • Compliance teams blocking AI projects over data handling concerns
  • No audit trail for AI-assisted decisions
  • Uncertainty about Privacy Act, APRA or Law Society obligations
Privacy & Data HandlingAligned to the Australian Privacy Act and sector rules
APRA CPS 230/234 AlignmentOperational risk and information security controls for finance/insurance
Model GovernanceVersion control, evaluation and change management for agents
Access Control & Audit LoggingEvery agent action attributable, reviewable and exportable
06 · Ongoing

Managed AI Operations

Shipping an agent is the start, not the end. We keep it accurate, monitored and improving after go-live.

Monitoring & AlertingUptime, accuracy drift and anomaly detection
Prompt & Model UpdatesKept current as models and requirements evolve
Support SLAsDefined response times for issues and change requests
Monthly Optimisation ReviewsPerformance reporting and expansion opportunities
Not sure where to start?

Book a free consultation and we'll scope the highest-ROI first step.