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DataLgorithmics
Products / Customer Service AI
Productised capability

Customer Service AI

A governed customer-service capability combining knowledge, triage, agent assistance, automation and human escalation.

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

Customer knowledge and retrieval

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

Conversation triage

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

Agent-assist workflows

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

Case creation and routing

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

Approved actions and integrations

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

Quality monitoring and escalation

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

Response qualityMeasure against an agreed baseline.
Containment or assisted-resolution rateMeasure against an agreed baseline.
Escalation qualityMeasure against an agreed baseline.
Average handling timeMeasure against an agreed baseline.
Customer satisfaction inputsMeasure against an agreed baseline.
Cost per resolved interactionMeasure against an agreed baseline.

Integration landscape

✓ CRM / ticketing
✓ Knowledge bases
✓ Email / chat
✓ Identity and permissions
✓ Analytics
✓ Human support teams

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 Customer Service AI