Production Support
When a live service fails, people need a clear response. SAI can support an agreed production scope with triage, coordination, communications and follow-through from restoration to root-cause review.
The business problem
Incidents move between application, data, infrastructure and vendor queues. Each transfer consumes time. A temporary workaround may restore service but leave the cause, customer impact and prevention owner unclear.
How SAI Technologies approaches the work
Define severity, intake, on-call or business-hour coverage, escalation and communication commitments in the contract.
Map critical transactions, dependencies, service owners, vendor contacts and recovery options before an incident.
Triage live failures using logs, monitoring, recent changes and user reports; coordinate specialists around one incident record.
Verify restoration through the actual user journey and reconcile delayed or failed transactions where the scope requires it.
Run problem reviews, track actions and update runbooks to reduce repeat incidents.
Connected process
Connected delivery
SAI follows the service from front end through identity, workflow, integration, data and hosting. A green server status is not closure if users still cannot submit, pay or receive a result.
Illustrative industry use case
A county licensing portal accepts submissions but a nightly interface stops passing them to the case system. SAI could coordinate application, integration and agency owners, restore the transfer, reconcile queued applications and document prevention steps.
Illustrative delivery story
During a filing deadline, applicants report missing confirmations. A scoped production support model could bring logs, queue health and user reports into one bridge and define how the agency verifies recovery.
Measures to agree before work begins
Time to detect, engage and restore; incident communication timeliness; repeat incidents; transactions reconciled after recovery; action closure; critical journey health.
A practical first SOW
Production support stabilization SOW: review recent incidents for one service, map escalation and dependencies, improve runbooks and monitoring, rehearse a realistic incident, and agree the ongoing coverage model.
