IVP.ai for operations teams in field services

See which jobs need attention today.

Bring job, engineer and site data together in one daily report. Each manager sees the overdue visits and SLAs at risk that they can act on, before the day gets away.

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IVP.ai / Deskless

Thursday 12 November 2026

Daily exceptions report

13 jobs need action today.

Nine visits are overdue and four jobs could miss their SLA. Most are in the South.

Jobs today: 146; across 4 regions
Overdue visits: 9; 3 more than last week
SLAs at risk: 4; due within 4 hours
First-time fix: 88%; last 7 days

Jobs on track today, by region

North37 / 41 · 90%
Midlands37 / 38 · 97%
South37 / 44 · 84%
Scotland22 / 23 · 96%

By region

Region	Jobs	Overdue	SLA at risk
North	41	3	1
Midlands	38	1	0
South	44	4	3
Scotland	23	1	0

Each regional manager gets only their own jobs, with the engineer and site for each one.

Today in words

The South needs help today.

13 of 146 jobs need action. Seven are in the South, where four visits are overdue and three jobs could miss their SLA.

SLA risk

Three South jobs are due within four hours and have no engineer on the way.

Do first

01
Reassign the three at-risk South jobs.
Owner: South manager
02
Rebook the nine overdue visits.
Owner: Schedulers

Illustrative report, fictional data. Not customer results or a live product screenshot.

Illustrative report with fictional data, not customer results or a live product screenshot.

01 / Workflows

Three operations workflows we build first.

Each one runs on the IVP.ai Data Layer, joined from the systems you already use. Deskless by IVP.ai runs them on a schedule, flags what needs a person and only acts if you set it up to.

01
Daily exceptions report
Every morning, a short list of the jobs that need someone: visits past their due date, jobs close to their SLA and jobs waiting on parts. Each manager sees only their own region.
02
SLA tracking by customer
Response and fix times measured against each contract’s terms, so you see which customers are at risk before they call to complain.
03
Regional performance
Jobs done, first-time fix and time on site, compared across regions and teams using the same rules, so the comparison is fair.

Case studies

Proof.

A national fire safety and security company saved more than 10 hours a week on reporting after joining up its operational and finance data.

Fire Safety

One Source of Truth for a National Services Business

Fragmented systems became a unified view of revenue and operational performance.

10+ hours saved a week on reporting

HubSpot · Uptick · finance spreadsheets

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Show us your workflow.

Bring your daily job list or overdue visits report. We’ll walk through it with you and show how it would run on your own data.