Services and support

From architecture decisions to sustained AI operations

AIPay provides assessment, deployment, integration, governance configuration, Agent development, enablement, and continuous optimization.

Global models

Local models

Governance control plane
Identity
Cost & value
Security audit
Employees
Business systems
AgentOS

Platform capability must fit the real enterprise environment

Unclear starting point

Tools, accounts, APIs, and local models lack a complete inventory.

Integration is underestimated

Identity, network, logging, and business systems often determine project pace.

No post-launch ownership

Cost, policy, usage, and Agent performance go unreviewed after launch.

Make scope, service counts, and responsibilities explicit

Every engagement defines deliverables, dependencies, responsibilities, support counts, and exclusions before work begins.

Assessment and planning

Assess current state, objectives, risks, and priorities.

Deployment and migration

Configure environment, identity, models, data, and operations.

Agent development

Develop, pilot, and optimize Agents around business workflows.

Enablement and support

Provide administrator and employee training plus defined remote support.

Typical deliverables

  • Project scope and deliverables
  • Implementation plan and responsibility matrix
  • Training, documentation, and acceptance materials
  • Support counts and response targets

Who this is for

  • Enterprises augmenting internal implementation capability
  • Business leaders piloting before scale
  • Management teams requiring ongoing operational support

Next step

Bring your operating context into a concrete architecture discussion

Discuss service scope