Engagement
AI Integration Services
Connect AI to the systems your business runs on: securely integrated with your data, applications and workflows.
Designed for teams who…
Your organisation has AI tools and ambitions, but they live at arm's length from the systems where work actually happens: your CRM, ERP, document stores, line-of-business applications and data platforms. Every gap is bridged by copy-paste, and every bridge leaks value, context and sometimes data.
You need AI woven into your environment the right way: governed access to enterprise data, integration patterns that respect your architecture and security controls that satisfy your risk and compliance teams, delivered by engineers who have integrated complex systems for decades.
Problem → Outcome
Move AI from a tool beside your business to a capability inside it: securely connected to your data and workflows, without compromising either.
Estimated time: Typically 4–12 weeks depending on the number of systems and the security requirements involved.
Key outcomes
What this engagement delivers
01
AI where the work happens
AI capability embedded in the applications and workflows your teams already use: no swivel-chair, no copy-paste.
02
Governed data access
Integration patterns that give AI the context it needs while respecting identity, access controls and Australian privacy obligations.
03
Architecture-aligned delivery
Integrations that fit your enterprise architecture rather than fighting it, designed by people who have run architecture functions.
04
Reliability you can operate
Monitoring, error handling and graceful degradation engineered in, so integrations behave like the production systems they are.
How the engagement works
What's included
We deliver integration as an engineering discipline, including:
Integration architecture and data-flow design across your systems
Secure connection of AI to enterprise data (APIs, RAG pipelines, vector search)
Identity, access and permission models for AI data access
Workflow and application integration (Microsoft 365, CRM, ERP, line-of-business systems)
Monitoring, logging and failure-mode engineering
Privacy and security controls aligned to your compliance requirements
Documentation and operational handover to your team
We start with your architecture and data landscape, then integrate incrementally, with each connection tested, secured and operationalised before the next.
Phase 1: Landscape & Design
We map the systems, data and workflows in scope, design the integration architecture and agree the security and access model with your risk stakeholders.
Phase 2: Integrate & Harden
We build the integrations in reviewable increments, testing against real data and hardening identity, privacy and failure handling as we go.
Phase 3: Operationalise
We stand up monitoring and alerting, document the integration estate and hand over operations to your team with the knowledge to extend it safely.
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Implementation
Got a pilot that deserves production? Or an idea worth building properly?
Bring us the AI you want built, or the prototype that stalled at the security review. A senior engineer will scope what production-grade looks like for your use case: architecture, security, integration and a realistic path to live. Free, and yours to keep either way.
Free scoping session. Senior engineers, not salespeople.