Services · Pillar 01
Data management
Your information landscape, reorganised into one standardised, AI-optimal structure. The foundation on which every AI application runs reliably.
The blueprint
One structure for everything your organisation knows
The A–H structure was developed in practice and serves as the blueprint: a standardised folder architecture in which each series covers one information domain, with fixed naming conventions, index files and governance rules.
Entities
Company documents organised per entity: notarial, legal, administration, finance, tax, HR and strategy.
Development
Infrastructure and tooling: cloud environments, SharePoint, credentials and development.
AI Stack
The AI stack itself: agents, skills, playbooks, rules, connectors, scripts, memory and hooks.
Reserved
Series D is reserved within the blueprint for future expansion.
Company knowledge
Company knowledge, frameworks and reports: searchable and reusable.
Commercial
Brand identity, marketing, prospecting and sales: everything that touches the market.
Knowledge archive
Client data: the client library and all accumulated client knowledge.
Operations
Operational process work, organised per client and instantly findable.
Knowledge extraction
Decades of communication, systematically unlocked
Most organisational knowledge does not live in systems but in channels. The Struon pipeline processes them one by one into the structure.
Classification, entity linking and process routing. Proven in practice: 99.9% coverage across 60,611 processed emails.
Teams & chat
Extraction of decisions, agreements and commitments from message traffic.
Conversations
AI transcription turns every recorded conversation into a searchable knowledge document.
Documents
SharePoint, shared folders and archives: systematically indexed and unlocked.
The effect
Measurably better, from the start
The effect on AI processing is directly measurable, and because patterns and rules live in the structure itself, the system keeps improving on its own.
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01
Fewer tokens
A predictable structure requires less context per task. That directly saves cost and time.
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02
Faster exchange
Standardised paths speed up the exchange of information between agents.
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03
More reliable output
Consistent source data leads to consistent results, time after time.
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04
More complete output
Index files and governance rules detect missing information.
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05
Self-learning
Corrections are captured in rules and memory. The structure keeps getting better.
Why this comes first
Your information is not an archive. It is the raw material for every AI application you will ever use.
Get started
Guiding the
transformation
Curious how your information landscape measures up? Within weeks, the quick audit gives you insight into the structure, the quick wins and the savings potential.
We will be in touch within one working day to arrange an introductory call.