AI for Media & Publishing

Our point of view

Multimodal archive intelligence and rights-aware content workflows.

We start where the operating constraint is, connect the systems that hold the truth, and only then choose the model. Governance is designed with the workflow, not bolted on.

Priority AI opportunities

Enterprise knowledge search
Intelligent document processing
Customer-service agents

Use cases

Media & Publishing use cases in production scope.

Business function

AI technology

Business outcome

Implementation horizon

3 use cases

Generative AIOperations0-3 months

Intelligent document processing

High-volume documents are keyed in by hand.

AI approach: Layout-aware extraction with confidence thresholds and human review queues.
Required data: Scanned forms, PDFs, emails.
Systems involved: ECM, workflow, ERP
Expected impact: Cost — Manual keying hours removed with accuracy monitoring.
Time to value: 0-3 months

Impact ranges are illustrative until validated with your data.

Discuss this use case

Generative AIWorkforce productivity0-3 months

Enterprise knowledge search

Employees cannot find governed answers across systems.

AI approach: Entitlement-aware hybrid retrieval with citations.
Required data: Intranet, wikis, file shares, ticket history.
Systems involved: SharePoint, Confluence, ITSM
Expected impact: Speed — Reduced search time and fewer repeat tickets.
Time to value: 0-3 months

Impact ranges are illustrative until validated with your data.

Discuss this use case

Agentic AICustomer experience3-6 months

Customer-service agents

Contact centres handle repetitive, system-bound requests.

AI approach: Agents that read entitlements and execute transactions with approval limits.
Required data: Interaction history, order and account data.
Systems involved: CRM, billing, order management
Expected impact: Cost — Higher containment with clear escalation paths.
Time to value: 3-6 months

Impact ranges are illustrative until validated with your data.

Discuss this use case

Reference architecture

How the intelligence connects.

Asset store→Multimodal indexing→Rights metadata→Editorial copilot

Business impact indicators

Archive retrieval time-60% Illustrative

Rights errors-40% Illustrative

Content reuse+22% Illustrative

Accelerators

Relevant accelerators.

Accelerator

Enterprise Agent Studio

Design, evaluate and operate governed agents against real enterprise tools.

Solves: Agent prototypes stall because permissions, testing and observability are missing.
Architecture: Tool registry, policy engine, evaluation harness, trace store.
Integrations: ERP, CRM, ITSM, Identity provider
Implementation: 6–10 weeks to first supervised agent in production.
Governance controls: Scoped permissions · Approval thresholds · Full traces

Request a demonstration

Accelerator

AI Knowledge Hub

Entitlement-aware retrieval across every enterprise knowledge source.

Solves: Copilots answer without provenance or respect for access rights.
Architecture: Connectors, hybrid index, re-ranking, citation service.
Integrations: SharePoint, Confluence, Object storage, Ticketing
Implementation: 4–8 weeks to a governed knowledge surface.
Governance controls: Entitlement propagation · Citation enforcement · PII redaction

Request a demonstration

Accelerator

Document Intelligence Engine

Turn high-volume documents into validated structured data.

Solves: Manual keying and review dominate document-heavy processes.
Architecture: Layout parsing, extraction models, confidence routing, review UI.
Integrations: ECM, Workflow, ERP
Implementation: 4–6 weeks per document family.
Governance controls: Confidence thresholds · Human review queues · Accuracy monitoring

Request a demonstration

Accelerator