System Architectures

Systems, drawn plainly.

Four architecture examples spanning sales, company infrastructure, documents and customer operations. These are system examples — not client case studies — and are labelled as such everywhere they appear.

System Architecture

AI SALES ENGINE

Research → meeting → CRM → proposal → follow-up.

Lead intake from CRM → automated research and ICP evaluation → account intelligence → preparation brief → meeting processing → needs and objections → CRM synchronisation → next actions → personalised follow-up → proposal generation → pipeline monitoring. Human review sits at the send and proposal checkpoints.

Flow
Lead enters CRMAI researchICP fitAccount briefMeetingTranscript processingCRM updatedFollow-upProposalPipeline monitoring
AI SALES ENGINE interface
sales-engine / pipeline
ARVANORD
14
New
9
Researched
6
Briefed
5
Meeting
3
Proposal
Voss Logistics brief readyAI prepared
Halden Bygg follow-up draftedReview

Interface illustration · CRM APIs · Research pipelines · Transcript processing · Document generation

System Architecture

COMPANY AI OS

Knowledge → agents → departments → workflows → permissions → evaluations.

Company data and knowledge sources → controlled knowledge layer → shared and role-specific agents → department workflows → permission boundaries and approval routing → evaluation and monitoring loop. Configured per organisation; the architecture stays constant.

Flow
Company dataKnowledge layerShared agentsRole agentsDepartment workflowsPermissions & approvalsEvaluations
COMPANY AI OS interface
company-ai-os / assistant
ARVANORD
What is our current approval limit for supplier invoices?
Invoices above SEK 250,000 require approval from the finance director and the responsible department head. Source: Finance Policy v4.2, §6.3.
Finance Policy v4.2Procurement Guidelines

Interface illustration · Knowledge infrastructure · Agent framework · Permissions · Evaluations

System Architecture

DOCUMENT INTELLIGENCE

Documents → extraction → reasoning → structured data → approval → company systems.

Document intake → classification → extraction → validation rules → exception routing to humans → structured output → delivery into ERP, databases and document systems. Confidence thresholds control what proceeds automatically.

Flow
Documents inClassifyExtractValidateException routingStructured dataInto company systems
DOCUMENT INTELLIGENCE interface
document-engine / extraction
ARVANORD
4 fields auto-approved1 routed for review
Document typeService agreement0.98
CounterpartyNordfrakt AB0.97
Term24 months0.96
ValueSEK 1,480,0000.94
RenewalAuto · 60 days0.91
Liability capLow confidence human review0.62

Interface illustration · Document AI · Validation engines · ERP integration · Exception workflows

System Architecture

CUSTOMER OPERATIONS

Request → context → action → human approval → response → reporting.

Request intake across channels → customer and case context retrieval → action preparation → human approval where required → response and resolution → automatic reporting and analytics back into operations.

Flow
Request intakeContext retrievalAction preparationHuman approvalResponseReporting
CUSTOMER OPERATIONS interface
operations-engine / queue
ARVANORD
Customs declaration — shipment 4412Prepared
Supplier dispute — invoice mismatchNeeds approval
Route deviation report — week 38Auto-resolved
New carrier onboardingIn review
12 handled · 2 escalated · 0 overdue

Interface illustration · Omnichannel intake · Context retrieval · Approval routing · Analytics

Related systems

These architectures ship as Arvanord Systems.

Established architectures, configured for your environment — the same shapes, adapted to the way your company actually works.

Next step

Architecture is where every engagement starts.

Discovery, mapping and architecture come before any build — so the system is right before it is fast.