Capabilities

Four thousand supplier invoices a month, and three people typing them into the ERP. Month-end waits for them.

Reads supplier invoices, purchase orders, contracts, delivery notes and material submittals. Extracts the fields, validates them against what the system already holds, and flags what disagrees rather than what merely looks unusual.

Proof. A Gulf telecom operator's finance function - sampled review at 15% replaced by 100% coverage; per-document review ~40 min → ~6 min

Where this proof is partial. The proof is telecom and financial-services documents, not a construction subcontractor invoice. The machinery is identical; say which it was.

Buys it: CFO, finance director, procurement director

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Somebody rebuilds that report by hand every month, and it is three weeks out of date the day it lands.

Replaces the recurring manual report - pulling from the systems of record, grouping and scoring what arrives continuously, and producing the thing a person currently assembles.

Proof. A Gulf fuel-retail operator - reporting lag ~3 weeks → under 24 hours, sample → full coverage

Where this proof is partial. Partial. No case yet where a specific recurring finance report was replaced end to end. The Gulf fuel-retail operator shape - continuous unstructured input becoming a grouped, scored dashboard - is the honest analogue, and should be offered as one.

Buys it: finance, operations, HSE, quality

Someone asks about retiring early. The system returns something that reads like an answer - and it governs a different category of member entirely. Nobody catches it until the wrong expectation is already set.

Finds the answer keyword search would never reach, because the asker doesn't know the document's own vocabulary for their situation - and, just as important, catches the answer that reads correctly but doesn't apply, before it reaches anyone. The value here is not speed. It is surfacing what would otherwise never be found, and stopping what would otherwise be confidently wrong.

Proof. A Gulf social-insurance authority - correct provision in top 3: 62% → 93%; queries phrased in the asker's own words rather than statutory terms: 34% → 89%; ~1 in 6 retrieved candidates discarded as confidently wrong before a member ever saw them. The value is not speed - it is surfacing what keyword search would never find, and catching what a naive match would confidently get wrong. A Gulf commerce ministry - correct activity in top 5: 96%; ranked first: 81%; downstream corrections at licensing: 12% → 3%

Buys it: operations director, HSE, engineering, legal, compliance

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They already have four systems open. Nobody wants a fifth place to go and ask.

An assistant inside the tools people already use that drafts, summarises, answers and completes routine steps - and, critically, one operating environment rather than another destination.

Proof. A Gulf tax authority - new use-case deployment time −40%, analyst throughput +35%

Where this proof is partial. The platform story is the strong one, and it is the argument for doing the foundations once. Lead with the structure, not the assistant.

Buys it: department heads, COO, IT

It arrives in a shared inbox and goes to whoever has time.

Classifies what comes in and routes it - service requests, RFIs, claims, applications - with the basis for each decision recorded.

Proof. A Gulf telecom operator - compliance-phrase detection recall 94%; sample → 100% reviewed

Where this proof is partial. Partial, and say so in these words - the classification and routing machinery is in production; this specific application would be new. That sentence has never once cost a deal, and asserting otherwise would.

Buys it: IT, shared services, procurement

Keyword screening rewards the CV written to mirror the posting, not the person who can do the job.

CV screening and candidate scoring, policy question answering, and the internal requests that never reach a system.

Proof. Our own build - 300-CV shortlist ~9 hrs → 25 min; +23% qualified candidates surfaced

The cleanest single-sentence story in the library, and every company hires. The best door-opener when IT is unreachable but HR will take a meeting.

Buys it: HR director

The caller has to read out an account number, and if the system mishears one digit the whole call is wasted.

Answers the phone in Arabic and English, completes the routine transaction rather than only answering questions, and hands over cleanly when it should.

Where this proof is partial. All five are off-sector for an industrial buyer. Use it as proof of engineering, not of industry relevance - "we run production Arabic voice AI for a national operator" is a delivery claim, and it should be said as one.

Buys it: customer service director, COO, shared services

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We push the same offer to everybody and measure whether they took it.

Works out what to offer which customer next, and why - recommendation and next-best-action with the reasoning visible rather than a score on its own.

Where this proof is partial. The proof is banking and retail. For an industrial buyer this line is relevant where there is a dealer network, a spares catalogue, or a renewals book - say so, and do not offer it where there is not.

Buys it: sales director, commercial, marketing

Routine enquiries consume the people who should be handling the difficult ones.

Text and web assistants that complete a service action rather than only answering, plus call summarisation and quality review on what still reaches a person.

Proof. A Gulf telecom operator - first-pass spoken-number capture 84% → 98.6%

Where this proof is partial. This is the most crowded line in the market - every competitor sells a chatbot. Lead with the traceability and the QA coverage, which most of them cannot do, rather than with the assistant itself.

Buys it: customer service director, COO, shared services

Your contracts are in Arabic, your invoices in English, and your HR letters are both on the same page. The tool you bought last year reads one of the three.

Document intelligence on mixed-script material handled natively rather than translated first - which is where global tooling degrades and where the practice's strongest technical evidence sits.

Proof. Our own build - classification consistency +30%, extraction coverage +28%, manual review time −60%

Buys it: every function; usually reaches us through legal, compliance or finance

The one that does not belong looks exactly like the others until somebody adds it up.

Flags the transaction, claim, submission or reading that is out of pattern, with a reviewable reason rather than a score alone.

Proof. Our own build - our own build. No isolated production metric. Weakest line we list

Where this proof is partial. The weakest line we list. Do not build a pitch on it. It is a legitimate answer when a prospect raises it, and it belongs in a T1 scope rather than a proposal.

Buys it: risk, finance, audit, compliance

The forecast is a flat assumption that hides a twenty-point swing.

Demand, consumption, spares and cash forecasting - built on history that has been cleaned first, because that is usually where the error actually lives.

Proof. A mid-market online fashion and homeware retailer, ~14,000 SKUs - forecast error ~42% → 19%, after repairing demand history

Where this proof is partial. The finding matters more than the number here. Both cases repaired data definitions before modelling, which is the practice's whole thesis in miniature.

Buys it: operations, supply chain, finance

There are ninety cameras and nobody is watching them.

Reads images and video for defects, PPE breaches and asset condition.

Proof. A beverage bottling operation, three high-speed lines - defect escape −84%, detection hours → under 2 min, returns −61%

Buys it: HSE, quality, operations

No delivered work of our own behind this line yet.

The licences were bought and nobody uses them.

Teaching teams to use what has been built - practical enablement and adoption programmes rather than generic AI awareness training.

Proof. None of our own.

It is the only line that needs no reference, only a curriculum. It is the lowest-risk thing the practice can sell cold, and it is a natural attachment to any delivered engagement.

Buys it: HR, L&D, department heads