AI Integration Maintenance & Support
Keep the connections working as the business changes.
Maintain agreed AI integrations and investigate connection failures as the surrounding systems change.
The opportunity
The problem we help you solve
An AI workflow depends on more than its model. Permissions expire, APIs change and source systems evolve. A small change in one place can leave the team manually moving work again.
Voxd provides maintenance for agreed AI integrations, with visibility into failed handovers and a clear route for investigation. We document the dependencies, test changes and help keep the connections aligned with the workflow they support. Coverage and responsibilities are established around your actual operating needs.
What changes for your team
Make integration issues easier to find
Monitor appropriate health and error signals so failures are less dependent on someone noticing missing work.
Give incidents an owner
Establish who investigates supported connections and how issues are prioritised.
Change with more confidence
Test agreed updates against the workflow before relying on them in operation.
What we deliver
What Voxd can deliver
Integration inventory
Document the supported connections, access arrangements and key dependencies.
Monitoring and maintenance
Set up appropriate checks and investigate failures within the agreed service scope.
Change testing and reporting
Review updates and communicate the work, findings and remaining actions.
Why Voxd
Support from people who can work across the system.
A problem may sit in an instruction, a knowledge source, an API or the application around the model. Voxd’s work spans these layers, from connected customer agents to bespoke software and operational workflows.
We can investigate the whole journey and implement improvements within the agreed scope. You get continuity between understanding the business purpose and maintaining the technology, with clear expectations about what is covered and what needs a separate project.
How we work
A clear operating rhythm
- 01
Review the starting point
We assess the system, dependencies, access and existing documentation. We identify any work required before ongoing support can begin.
- 02
Agree responsibilities
We define coverage, priorities, response expectations and the split between maintenance, incidents and new development.
- 03
Establish visibility
We set up appropriate monitoring and quality checks, with a baseline that makes changes in performance easier to investigate.
- 04
Maintain and improve
We handle agreed support work and review the evidence with you. Tested changes and a prioritised backlog keep improvement deliberate.
Before you get started
Before you get started
Can you maintain connections we did not build?
Potentially. We first assess the access, documentation and technical arrangement to confirm what can be supported.
Are all future supplier changes included?
The agreement defines the maintenance scope. A major API or platform change may require separate development work.
Give the connections a maintenance plan.
Tell us which systems your AI workflow depends on and where handovers currently fail.