Offiks.ai turns your documents into organisational memory: automatically classified, tagged and monitored for expiry dates. Findable in seconds — and the knowledge stays yours, even when people leave.
Live at Cibus Real Estate: 35,000+ documents AI-tagged, 7 countries, one source of truth — implemented in 2 weeks.
Twenty years of network drive. \\server\2019\Clients\ACME\Invoices\Final\inv_0034 (copy).pdf. Your folder structure IS your knowledge — just badly encoded.
Every employee files differently. Duplicates, copies, "final_v3_really". Searching means browsing, and browsing means time.
Why that clause is in that contract, which version is the right one: it lives in people’s heads — until those heads find another job.
Certificates, inspections, contracts with notice periods: tracked in a list that only one person maintains. Until they are on holiday.
Every incoming document is recognised, tagged and classified by GenAI — type, client, year, status. A person approves the metadata; after that it can be found by content, not by folder name.
During a migration, agents propose rules — not decisions per file. First a scan and profile of your archive, then mapping rules you fine-tune, then a simulated and resumable import. Dead weight stays behind.
Expiry dates on the watch list, access rights per role, a full audit log, GDPR-proof. In your own Microsoft 365 environment — your data stays yours.
A genuinely metadata-driven DMS, not a vague vector database: every document, every decision and every exception makes your company’s brain smarter.
“With Offiks we are AI-ready: documents are structured, secured and linked to our ERP. Metadata adds context — and that makes smarter AI insights possible.”
Benoit Debruyne— COO Benelux, Cibus Real Estate · API integration with Oracle NetSuite
Also live in retail, installation, food, healthcare and government: 14 organisations, 5,200+ users, from 5 to 3,000 per organisation.
Everything your company knows — documents, decisions, processes, exceptions — captured in a structured, metadata-driven foundation that AI agents can reason over. It is the layer generic AI lacks: AI does not know your company as long as the knowledge sits in mailboxes, Excel and people’s heads.
No — deliberately not. The folder tree is converted into metadata (year, client, type, status) in a flat, view-driven library. Replicating the folders means migrating the mess as well. The original path is kept as an audit trail.
In phases, with human approval between every step: first a scan and profile of the archive, then agents propose mapping rules that you fine-tune until the coverage is right, then a batched and resumable import. Large archives can start flowing in weeks before the switchover and stay in sync.
Yes. Access rights per role, a full audit log, data in your own Microsoft 365 environment and EU AI Act-ready control over what agents may see and do. The knowledge remains your company’s property.
Pick the archive people search most — invoices, contracts or personnel files — and see the difference within 30 days. Meanwhile, your company’s brain builds itself.