Driver, crew and last-mile execution
Get the right crew to the right site with the right parts, and prove what happened.
What this fixes
Proof of delivery, exceptions and returns are captured on paper or in apps that do not survive a dead zone, and disputes are settled from memory.
Scheduling and dispatch driven by skills, SLAs, travel time and parts availability, with a mobile app for the crew: offline forms, photo evidence, guided checklists and automatic job closure. Vision models check the evidence photo so a job is not closed on a blurred picture of the wrong asset.
Proof of delivery with evidence
Exception handling in the field
Offline-first app
Driver workload balance
Where it earns its place
How we build it
Foundation check
Before any buildWe inspect the systems, the data behind them and the quality of the records this capability will depend on, then write down what has to be fixed before anything is built.
Narrow first release
First releaseOne workflow, one team, real traffic, measured against the baseline we captured before we started.
Controls and evaluation
Runs in parallelGuardrails, approval gates, evaluation sets, logging and the evidence pack your auditor and your regulator will ask for.
Scale and hand over
After sign-offAdditional workflows, sites or languages, then runbooks and training so your team can operate it without us.
What has to be right first
- An asset register that matches what is actually installed in the field.
- Crew skills, certifications and shift rules, kept current.
- Parts inventory by van and by depot.
- Reliable address and coordinate data, bad geocoding wastes more time than bad scheduling.
Guardrails and KPIs
A human owns every consequential decision
Agents draft, route and execute reversible steps. Anything that moves money, changes a record of consequence or affects a person's rights stops at a named human approver with the reasoning attached.
Every action is logged and replayable
Inputs, retrieved context, model version, output and the human decision are written to an immutable log, so an auditor can reconstruct any single interaction months later.
Data stays where your regulator requires
In-country, in-region or on-premise deployment, with the model portfolio right-sized to the workload instead of routing everything to a frontier endpoint abroad.
Accuracy is monitored, not assumed
A held-out evaluation set runs on every model or prompt change, with drift alerts and a documented rollback path when quality moves.
KPIs it moves
- • First-time fix rate
- • Jobs completed per crew per day
- • Travel time and distance per job
- • SLA compliance
- • Repeat-visit rate
Integrations
Proof in this sector
Proof in this sector
Anonymised clientsOperational control tower across warehouse and fleet
Logistics operator in the GulfRoute and capacity optimisation
Freight network in AsiaYard and berth performance analytics
Port operator in the Middle East