An AI request SLA monitoring agent measures elapsed time at each stage, such as intake review, policy check and approval, and compares it with the target set for that stage and request type.
Requests sit at various stages with target times.
The agent compares elapsed time with each stage target.
It lists requests nearing or past target.
It notes the stage and who holds it.
A lead reassigns, chases or resets the target.
Breaches and reasons are recorded.
As a request nears its target it alerts the owner. When a target is missed, it records the breach with the stage and the party that held the request.
It also compiles periodic summaries so procurement can see where delays cluster, without assigning blame automatically.
A service target nobody watches is only a hope, and averages across all requests hide the ones that have gone badly wrong.
Without timestamps by stage, nobody can say how long a request has really waited.
A renewal and a new vendor onboarding have very different reasonable timelines.
Time waiting on a requester should not count against the review team.
A monthly report arrives too late to rescue the late request.
A single average does not show whether delay sits in review, approval or information gathering.
Each move between stages is stamped, along with who held the request.
The agent selects the target for the request type and stage from your service rules.
Time spent waiting on the requester or an outside party is separated from team time.
Owners get an alert when a request reaches an agreed share of its target.
Missed targets are logged with the stage and holder, and rolled into a regular summary.
Bring a small sample and watch Flo work through it.
| Aspect | By hand | With the agent |
|---|---|---|
| Visibility | Overdue requests are seen only when someone complains. | Requests nearing their target are listed before they breach. |
| Targets | Service targets live in a document nobody checks. | Targets by stage are applied to each request automatically. |
| Root cause | Delays are blamed on the whole process. | Delays are traced to the stage and holder. |
| Fairness | Priority goes to the loudest requester. | Queue order reflects the agreed targets. |
| Reporting | Service reports are assembled by hand each month. | Time-in-stage figures are kept as work proceeds. |
| If | Then | Who decides |
|---|---|---|
| Request is close to its stage target | Add it to the watch list for its holder | Holder is told, no one else |
| Request has passed its stage target | Mark as breached with the stage and holder | Procurement lead decides action |
| Request is waiting on the requester | Pause the clock and note why | Buyer chases if needed |
| Target differs for a request type | Apply the type-specific target | Lead maintains targets |
| Many requests breach in one stage | Show the pattern across the stage | Lead reviews capacity or rules |
| Request is flagged urgent by a requester | Show the urgency but keep the target unchanged | Lead decides whether to prioritise |
A pause could hide delay. The agent records each pause and its reason, and a lead reviews paused requests.
Targets should not count closed days. The agent reads the calendar and the lead confirms the closure dates.
Constant breaches in one type may mean the target is wrong. The agent shows the pattern, and the lead decides whether to reset it.
Bouncing between two stages inflates delay. The agent flags the loop and a lead finds why.
Talk it through with the team. We will map it to your steps and show where a person stays in control.
Agree stage targets before the agent measures anything.
Show at-risk and breached requests without any alerts.
Send early notices to the person holding the request.
Adjust targets where breaches show they were unrealistic.
It shows how reliably the team meets its own service levels. Read it by stage and request type, as a single blended rate hides weak spots.
Quick answers to what people ask most about request SLA monitoring.
Book a demoIt is tracking how long each purchase request spends in each stage against your service targets. An AI agent timestamps stages, warns owners before targets are missed and reports breaches.
No. It records and reports, and people decide what to do about patterns. The aim is to find where delay occurs, not to assign fault automatically.
Time waiting on a requester or an outside party can be separated from team time under rules you set, so the measure reflects the team's own speed.
Procurement and its stakeholders set them. The agent monitors against those targets and can show whether they are realistic.
Request status tracking is the step of keeping requesters informed about where a purchase request stands and who is acting on it.
→Request escalation is the step that raises a purchase request to a more senior or different person when it stalls, breaches a rule or carries unusual risk.
→Requisition creation is the step that turns an approved purchase request into a formal requisition with line items, coding and vendor details.
→Request cost estimation is the step of working out what a requested purchase will really cost over its term, not only the headline price.
→Bring a small sample of real items. We will show what Flo handles on its own and where it hands over to your team.
