The people behind Document.One AI
Enterprise software veterans building document intelligence for regulated industries and large enterprises worldwide.
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Connect to the systems
you already run.

Document.One AI deploys as an intelligence layer over your existing infrastructure. We build customised connectors for your systems of choice — no rip-and-replace, no disruption.

Document.One AI Platform
🗂️ Content Hub
🧠 Intelligent Extraction
⚡ Intelligent Automation
🔗 Custom Connector
🗂️
DMS / ECM
Document management systems
Your existing systems stay exactly where they are

Any system. Any source.
One intelligence layer.

Every enterprise runs on a unique combination of systems. Our connector engineering team builds purpose-built integrations so Document.One AI works seamlessly with what you already have.

🗂️

Document Management Systems

Connect to any DMS or ECM platform to index, search, extract, and automate across your full document library — without migrating a single file.

📊

ERP Systems

Integrate with your Enterprise Resource Planning platform for real-time PO matching, invoice posting, and financial data validation directly from Document.One AI workflows.

🤝

CRM Platforms

Connect to your Customer Relationship Management system to auto-populate records, extract contract data, and trigger customer-facing workflows from document events.

👥

HCM & HR Systems

Automate employee document workflows — onboarding packs, contracts, certifications, and compliance records — by connecting directly to your Human Capital Management platform.

☁️

Cloud Storage & Repositories

Connect to S3, Azure Blob, and other object storage services so documents are always accessible, indexed, and ready for extraction — wherever they live.

⚙️

Workflow & BPM Engines

Integrate with your Business Process Management tools to trigger, route, and complete document-driven tasks automatically within your existing process framework.

🏥

Healthcare & Clinical Systems

Connect to EMR, EHR, and clinical document repositories. Extract patient data, process referrals, and automate compliance workflows while maintaining full data sovereignty.

📧

Email & Communication Platforms

Ingest documents directly from inbound email streams and shared inboxes — classifying and routing attachments automatically as they arrive.

🔌

Custom & Legacy Systems

Don't see your system here? Our connector engineering team builds bespoke integrations for proprietary, legacy, and custom-built platforms using our open connector SDK.

Built for your stack,
not the other way around.

Most AI platforms ask you to migrate your data into their system. We do the opposite — our connectors bring Document.One AI capabilities directly to the systems your teams already use every day.

Every connector is engineered to match your system's data model, security policies, and access controls. Your data stays where it is. Your governance stays intact.

  • No data migration required
  • Respects your existing access controls and permissions
  • Deployable on-premise or in the cloud
  • REST API and open SDK for full extensibility
How it works
1
Discovery call
We map your systems and integration requirements
2
Connector engineering
Purpose-built for your data model and security policies
3
Tested deployment
Full UAT in your environment before go-live
4
Live & supported
Ongoing maintenance and versioning included

Tell us what you run.
We'll connect it.

Share your stack with our team and we'll scope out a connector that fits your environment — typically deployable within 4–8 weeks.

Request a Connector

Common questions about Connectors

Do we need to migrate our data to use Document.One AI?
No. Document.One AI is designed as an intelligence layer that connects to your existing systems. Your data stays exactly where it is — in your DMS, ERP, cloud storage, or wherever it currently lives. We bring AI capabilities to your data, not the other way around.
What systems can you build connectors for?
We build connectors for any system that exposes an API or data interface — including DMSs, ERPs, CRMs, HCMs, cloud storage (S3, Azure Blob), email platforms, BPM engines, healthcare systems (EMR/EHR), and custom or legacy platforms. If we don't already have a pre-built connector for your system, we engineer one.
How long does it take to build and deploy a connector?
Most connectors are deployable within 4–8 weeks of contract signing. This includes a discovery call to map your system and requirements, connector engineering, integration testing, and full UAT in your environment before go-live. Complex or highly customised systems may take longer.
Does the connector respect our existing access controls and permissions?
Yes. Every connector is engineered to operate within your existing security model. It honours your ACLs, role-based permissions, and data governance policies. Document.One AI never bypasses or overrides access controls that are already in place in your systems.
Can connectors be deployed on-premise?
Yes. Connectors can be deployed on-premise, in the cloud, or in a hybrid configuration. For organisations with strict data sovereignty requirements, the entire connector and AI processing stack can run within your own infrastructure with no external data transfer.
Is there ongoing support and maintenance after go-live?
Yes. All connectors include ongoing maintenance and versioning support. As your source systems are updated or your requirements evolve, we update the connector to match. Support tiers are included in the engagement and can be discussed during the scoping process.