Mobility · UAE

Automate Job Cards, Quotes & Reviews for UAE Garages

Workmaster automates job card approvals, fast quotes, inventory, service reminders & reviews for UAE auto garages — turn bays faster and win more jobs.

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Why auto garages & workshops run on Workmaster

What the AI automates

Job Card Lifecycle & Estimate Approval

Line-item estimate approval via chat link eliminates the "you never authorized this" dispute and the unpaid-work write-off that follows, while automated approval chasing keeps bays turning — vehicles waiting on customer approval are the biggest hidden capacity loss in a workshop. The mid-job re-quote loop converts additional findings into approved revenue instead of arguments.

AI turns counter conversation (voice) into structured symptoms and drafts the full line-item estimate from stock prices and the labor rate book — the Service Advisor validates instead of typing. The chat approval link with per-line approve/decline and e-signature creates an unambiguous authorization record; the hard rule "no unapproved line is ever worked" is enforced by the workflow, killing invoice disputes. Approval chasing is automated with an escalation ladder (24h/48h reminders → advisor call → storage warning), directly reducing bay-blocking wait time. Declined and advisory lines are automatically retained and fed to SHR-38 service-due reminders — deferred work becomes a future revenue pipeline instead of a lost note. Diagnosis, repair quality, QC judgments, and customer-relationship escalations stay human; AI owns data capture, drafting, chasing, and record-keeping.

Quotation & Proposal Generation

Compresses quote turnaround from days to minutes and enforces margin discipline through threshold-based approvals; in quote-driven trades the fastest professional quote wins the job, and revision-loop tracking stops silent margin erosion from uncontrolled discounts.

AI drafts a complete, VAT-correct itemized quote from the price book in minutes, including flagging lines that need manual pricing — humans only touch exceptions and commercial judgment. Threshold-based approval routing is computed automatically from total, discount, and margin, so pricing governance is enforced without slowing small routine quotes. The revision loop is AI-managed: client change notes are parsed and applied to a new draft, preserving full version history and a revision counter that surfaces over-negotiated deals. Validity tracking and chase reminders run unattended; the salesperson is pulled in only for the +10-day personal call and live negotiation. Approvals, final pricing concessions, and win/loss judgment remain human decisions; the Owner sees a margin-leak report built from discount and revision data.

Review & Reputation Management

Local-service businesses win or lose on Google rating; this process channels happy clients toward public reviews while intercepting unhappy ones before they post — lifting star ratings, recovering at-risk clients, and ensuring every public review gets a timely, on-brand response.

AI optimizes ask timing and channel per service type and enforces suppression rules (30-day cool-off, opt-outs), which is what keeps response rates high and clients unannoyed. The ≤3-star intercept is the core value: the unhappy client hears an empathetic, specific apology within minutes — before they open Google — and a manager gets the case with full context. Public-review monitoring plus AI-drafted responses means every review gets answered inside 48 hours; the manager approves, never composes from scratch. Drafts are guard-railed for regulated sectors (no patient/medical details in clinic responses). Humans own remedies, goodwill spend, and every word that gets published publicly.

Inventory Management & Reordering

Prevents stockouts that halt sales/jobs and cuts working capital tied up in dead stock; for expiry-tracked segments (pharmacy, catering, restaurants) it directly avoids write-offs and regulatory exposure from expired goods on shelf. Reorder timing driven by real velocity instead of gut feel typically frees 10–20% of stock value. In the UAE, pharmacy stock additionally sits under MOHAP's Tatmeen track-and-trace regime, where expiry and recall handling is a compliance duty, not just housekeeping.

AI computes velocity and auto-tunes reorder points from trailing usage, eliminating the spreadsheet the owner "meant to update" — the most common stockout cause in GCC SMEs. AI drafts the reorder (supplier, qty, cost) so the manager's job shrinks to a one-tap approval; threshold routing keeps the owner out of routine buys. Expiry horizon scanning is fully automated; only the physical action (return/markdown/quarantine) needs hands. Variance triage is automated within tolerance; humans investigate only material discrepancies — judgment on theft/process failure stays human, as do all write-off approvals. Cycle-count scheduling (ABC frequency) is AI-managed so counting effort concentrates on high-value SKUs.

Preventive Recall & Service-Due Reminders

Recall revenue is the cheapest revenue a service business has — the client already trusts you. Automated, personalized recall campaigns typically recover 20–40% of lapsed recall visits that manual call-lists miss, and for clinical/vaccination cases the process doubles as a duty-of-care safety net by flagging overdue high-risk cases for personal follow-up.

The entire reminder engine — due-date computation, daily scans, personalization, multi-channel sending, decay re-touches, and booking — runs without staff effort; humans only see the ranked high-risk overdue list and routed questions. Personalization is specific, not templated spam: pet name and vaccine type, vehicle plate and km, months since last hygiene visit — AI drafts from actual history, in the client's language. Risk flags encode duty of care: chronic patients and safety-critical services never silently lapse — they always surface for a human call before the cycle closes. Hard consent rules are machine-enforced: opt-outs are immediate and permanent until the client re-consents, and touch caps (max 4 messages/cycle) prevent brand damage. Clinical questions, complaints, and price negotiations are always routed to humans; AI answers only factual service/preparation/price-list questions. Cycle analytics (response rate per touch, recovery rate by service type, decline reasons) feed pricing and protocol decisions and the SHR-34 reporting pack.

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