- 16 modules
- Read-only by default
- Arabic & English
- Built on Claude
AI product
FleetMind AI — Intelligence for Equipment Fleets
Sixteen AI modules that read your equipment ERP and turn it into prediction: what is about to fail, what went out un-billed, which assets cost more than they earn, and which idle unit matches an open enquiry.
Sixteen modules
Delivered in full, in five groups
FleetMind is delivered as a complete platform rather than a tiered feature list.
Intelligence & interaction
Command centre and conversational access to the whole fleet.
- Live utilisation, open job cards, rentals on hire, overdue renewals, revenue and margin
- Plain-language AI insight feed and daily executive briefing
- Ask questions in English or Arabic and get charts and exportable reports
- Voice commands for the yard and workshop floor
Asset & maintenance
Predict failure before it costs you a contract.
- Per-fleet failure-risk prediction from job-card and inspection history
- Pre-dispatch readiness score and overhaul scheduling around peak demand
- Material over-consumption and repeat-service detection
- Money-pit score ranking lifetime cost against revenue earned
Operations & workforce
Utilisation, dispatch discipline and operator performance.
- Demand and utilisation forecasting with auto-generated allocation calendar
- Idle-asset revenue-loss tracking and standby-fleet sizing
- Pre-dispatch quality gate and customer-specific eligibility matching
- Operator scorecards and certification renewal calendar
Commercial & supply chain
Protect revenue and buy better.
- Quote and tariff drafting with win-probability scoring
- Un-billed consumption detection reconciling job cost against invoice
- Spare-parts demand forecasting and dead-stock detection
- Supplier scoring and PO price-creep detection
Finance & compliance
Margin, cash and renewals under control.
- Margin by fleet, job card, customer and contract
- Cash-flow forecasting and collections prioritisation
- True cost per operating hour per unit
- Renewals copilot for documents, certificates, Iqamas and visas
It reads your ERP. It does not replace it.
FleetMind connects to your Tech Integra ERP data read-only, with any write-back requiring human approval. There is no migration, no parallel database, and no change to how your team enters work.
Its language, reasoning and document-understanding capabilities are powered by Claude, Anthropic’s enterprise AI model, accessed through Anthropic’s commercial API — so the intelligence layer is maintained by a dedicated AI research company rather than depending on a home-grown model that would need continuous in-house investment.
Read-only by default
Analysis never alters the operational record without a person approving it.
Learns from your history
Predictions train on your own job cards and inspections, not an industry average.
Answers in plain language
English or Arabic, with figures, charts and exportable reports.
Delivered where you work
Reports and alerts by email or Slack, not only inside a dashboard.
Questions
Frequently asked questions
What is FleetMind AI?
FleetMind is the AI intelligence layer built specifically for equipment rental and service operations. Sixteen modules read the Tech Integra ERP data and produce prediction and recommendation — failure risk, idle-asset revenue loss, un-billed consumption, margin per job and renewal exposure.
Does FleetMind change my ERP data?
By default it reads only. Any write-back, such as drafting a purchase requisition or flagging a job for review, requires human approval and is fully audit-logged.
Which AI model does FleetMind use?
FleetMind’s language, reasoning and document-understanding capabilities run on Claude, Anthropic’s enterprise AI model, accessed through Anthropic’s commercial API.
Can FleetMind detect revenue we are losing?
Yes. Un-billed consumption detection reconciles the material, labour and operating hours consumed on a job against what was actually invoiced, which is typically the largest single pool of recoverable revenue in an equipment business.
See it with your own data
A walkthrough using your workflows rather than a generic demo dataset.
