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DataLgorithmics
Products / Document Intelligence
Productised capability

Document Intelligence

Extract, classify, validate, route and review information from business documents with human controls.

Commercial model: scoped implementation, managed operation or recurring service depending on the workflow and operating requirements. Current commercial terms are confirmed after scoping; no outcome is guaranteed before evidence is established.

Capability components

Document intake

Configured around the workflow, approved data, accountable owner and success criteria.

Classification

Configured around the workflow, approved data, accountable owner and success criteria.

Field / clause extraction

Configured around the workflow, approved data, accountable owner and success criteria.

Validation

Configured around the workflow, approved data, accountable owner and success criteria.

Routing

Configured around the workflow, approved data, accountable owner and success criteria.

Human review and audit

Configured around the workflow, approved data, accountable owner and success criteria.

Reference operating architecture

Experience · users, channels, interfaces and human workflows
Intelligence · models, agents, prompts, retrieval and business logic
Knowledge & data · approved sources, structured data, context and quality
Integration · APIs, enterprise applications, events and tools
Trust · permissions, evaluation, logging, monitoring, escalation and governance

Success measures

Extraction accuracyMeasure against an agreed baseline.
Manual handling timeMeasure against an agreed baseline.
Exception rateMeasure against an agreed baseline.
Cycle timeMeasure against an agreed baseline.
Audit completenessMeasure against an agreed baseline.
ThroughputMeasure against an agreed baseline.

Integration landscape

✓ Email
✓ Document repositories
✓ Workflow systems
✓ ERP / CRM
✓ OCR / vision services
✓ Human review queues

Integration feasibility depends on the systems, licences, APIs, security model and access approved by the client.

Implementation path

Discover

Workflow, users, data, baseline.

Design

Architecture and controls.

Prove

Evaluation and decision gate.

Deploy

Integration and adoption.

Operate

Monitor, improve, govern.

Required controls

Accountable owner

A named business owner for outcomes and permitted use.

Human escalation

Defined points where people review, approve or take over.

Evaluation

Quality, safety, cost and operational performance measured before and after release.

Permissions

Least-privilege access to systems, tools and knowledge.

Auditability

Appropriate records of actions, approvals and important changes.

Review cadence

Periodic review of quality, risk, cost and continued suitability.

Build internal capability alongside delivery

Pair implementation with DataLgorithmics Academy pathways so operational, technical and governance teams can sustain the capability.

Academy pathwaysTrust CentreDiscuss Document Intelligence