Job and site records
Retrieve the current schedule, location, access and qualification fields from the system that owns them.
A clearer day
for your planners.
Connect schedules, jobs, sites and location context so field-service teams can see pressure earlier and spend less time assembling the picture. Your operational platform stays authoritative. Your planners stay in control.
Field update→Job record→Planner review→Confirmed next action
An illustrative workflow. Permissions and approval points are agreed for each implementation.
ILLUSTRATIVE CONTROL SCHEMATIC · NOT LIVE DATA · Source evidence → explicit rules → planner review → confirmed result
Planning constraints
Flag missing fields, timing conflicts and defined operational exceptions without inventing certainty.
Planner review
Show the source and reason for attention. A responsible planner chooses whether anything changes.
Confirmed next action
Read back any authorised update and keep mismatches visible with an owner and recovery path.
Illustrative control pattern, not a live optimisation claim. Dispatch authority remains with the business.
01 / THE WORK
The schedule is only one part of the job
A full calendar does not reveal missing site information, an awkward travel leg or a job whose status has changed. Nordlith helps bring the relevant context together before the dispatcher has to chase it.
02 / THE WORK
Illustrative workflow: tomorrow’s exceptions
Read the agreed schedule and job fields. Identify missing locations or conflicting commitments. Show the source and why an item needs attention. A planner checks the options and approves any change in the authoritative platform. This is a design example, not a live product demonstration or a promised optimisation result.
03 / THE WORK
What AI should not decide by itself
A convenient route is not authority to allocate a technician. Qualifications, customer commitments, site access and operational constraints need explicit rules. Start with read-only context and draft recommendations; admit writeback only if the responsible business owner approves it.
04 / THE WORK
What to bring to a first review
Describe one planning bottleneck, the platform that owns the job, the fields the planner trusts and the exceptions that currently cause calls or rework. Use a redacted example. We assess access, location-data rights and platform compatibility before implementation.
05 / THE WORK
How we test the first workflow
Check ordinary jobs, missing fields, duplicate records, permission failures and late changes. Compare the output with the source schedule. Agree who resolves exceptions and how to stop or recover the integration before widening its role.
Proposed first-scope deliverables
We propose a read-only planning-exceptions workflow. Before build, we agree on exact fields, access boundaries, and exclusions. This scope does not include autonomous dispatch or billing changes.
- Source-to-Field Mapping: Define which job, site, and access fields are read-only inputs. Confirm exclusions for financial or contract data.
- Sample Exception View: A list of jobs with missing site data or conflicting schedules, citing the specific source field for each exception.
- Acceptance Checklist: A simple confirmation step where the planner marks items as reviewed or escalated. The operations manager verifies accuracy; the IT lead confirms permissions.
Fit and no-fit conditions
Clear criteria help determine if this workflow suits your current operations. These conditions are based on data availability and decision authority.
- Good Fit: You have accessible, authorised job and site records with stable IDs. A named planner is responsible for reviewing exceptions.
- Good Fit: You require a read-only support layer that flags issues without changing the schedule automatically.
- No Fit: You need the system to automatically dispatch technicians or modify customer billing records.
- No Fit: There is no approved way to reconcile records across systems, or job data lacks stable identifiers.
This workflow is designed for human-led planning support. It does not imply API-only eligibility or automatically exclude all disconnected tools.
Before we start.
Do you automatically dispatch jobs?
Not by default. The public service is planning and operational support with explicit human authority. Any transactional dispatch scope would need separate agreement and testing.
Which field-service system do you support?
The connection is assessed for your actual platform and available interfaces. No named vendor partnership, universal connector or subscription entitlement is implied.
Can this reduce travel or improve utilisation?
Those are outcomes to test, not promises. Establish the baseline, operational constraints and acceptance measure before attributing any improvement to AI.
CONTINUE WITH THE RIGHT QUESTION
A useful next step.
START WITH ONE PIECE OF WORKWhat would be easier
What would be easier
if this worked properly?
Tell us where time or follow-through is being lost. We will start with the problem, not a product pitch.
Talk to Nordlith →