AI MARKETING

Human-led strategy. AI-enabled execution.

Keep your brand direction and commercial decisions in human hands. Use AI to support research, creative production, reporting, and approved follow-up workflows.

AI MARKETING

Human-led strategy. AI-enabled execution.

Keep your brand direction and commercial decisions in human hands. Use AI to support research, creative production, reporting, and approved follow-up workflows.

Managed marketing

Fiva handles the agreed work. AI supports selected parts of research, creative production, and reporting.

Systems for your team

A workspace, application, or approved workflow your team can use—scoped separately from ongoing campaign management.

AI Marketing spans all four models, not a separate level.

Delegate the output. Connect your knowledge. Build your application. Coordinate the actions. Start with the service your business actually needs.

SCOPE

Choose by the work you need done.

Service comparison. Scroll horizontally on small screens.
Model01 — AI Execution Services02 — AI Workspace Setup & Integration03 — Custom Applications & AI Development04 — AI Agents & Workflow Automation
You receiveReviewed outputsConfigured workspaceCustom applicationControlled workflow
Typical scopeResearch, content, presentations, reportingSelected sources, connectors, instructionsInterface, data, integrations, selected AI featuresTool use, policy checks, approval and escalation
OwnershipYou receive agreed files or outputs; Fiva operates the AI tools.Your team uses a configured workspace; accounts and maintenance roles follow the contract.You receive an application and agreed rights; source code, infrastructure, and licences are specified in the contract.You receive a monitored workflow or agent; operational responsibility, accounts, and support are assigned explicitly.
EngagementProject-based or a defined monthly output package.Setup and integration fee, with optional managed maintenance.Discovery, build milestones, and an optional support agreement.Assessment and pilot, implementation, then agreed managed support.
What we measureAccepted outputs, review time, source quality, revisions, delivery cycle.Answer quality, retrieval time, permissions accuracy, active use.User acceptance, process completion, reliability, use, and AI feature quality.Verified task completion, exceptions, approval accuracy, cost per accepted task.