# Attentions AI > Sovereign AI agents that do real work, on your infrastructure. Every Attentions agent is already running in production. It runs on your own servers, it backs every answer with a source, and it stays operationally cost-effective as your data grows. ## Agents ### Invoice Intelligence https://attentions.ai/agents/invoice-intelligence Your team handles only the exceptions, and early-payment discounts stop slipping away. Before you pay a supplier, three documents have to agree: the invoice (what they're charging you), the purchase order (what you agreed to buy), and the goods-received note (proof you actually got it). Checking that the three line up is called a “three-way match.” Today a person does it by hand, one invoice at a time. This agent does it for them. Matching invoices by hand costs more than it looks: - People spend their day re-typing numbers that add no value. - Early-payment discounts slip away because the checking is too slow. - Small mistakes hide. A wrong currency, a wrong quantity, a wrong tax. They surface too late, if at all. - Every payment has to be traceable for audit, so someone is always digging through email for proof. The invoice arrives, the match takes days, the discount window closes, and the supplier emails again to ask where their money is. What you get back: Your team stops re-keying and handles only the exceptions. Payments go out on time, so you capture discounts you're leaving on the table today. And month-end close is audit-ready. Built from: Any-format Reading, Document Matching, Rule & Tolerance Checks, Finance-System Posting, Audit Trail, Plain-English Questions. ### Enterprise Document Intelligence https://attentions.ai/agents/artigen A private chat for all your enterprise documents. A private ChatGPT for your own documents. It runs inside your environment, your files never leave, and every answer links back to the exact page it came from. So your team can finally search and ask across the contracts, manuals, policies, and reports that no one has time to read. The problem: - Your knowledge is buried in thousands of documents that are hard to search. - Public AI tools are off-limits, because you can't send out private data. - New staff take months to find what they need, and your experts answer the same questions over and over. What you get back: Your team finds answers in seconds instead of hours. New people get up to speed faster. Your experts stop repeating themselves. Built from: Private Document Chat, Any-format Reading (OCR), Translation & Multilingual Understanding, Document Summarisation, Plain-English Questions with source links, Audit Trail. ### Voucher Matching https://attentions.ai/agents/voucher-matching Six documents checked. One clean cross-border payment. A payment voucher is the pack of paperwork that says “this money should move.” For a cross-border or contract payment, six documents all have to agree before it goes out: the sales order, the delivery note, the invoice, the customs declaration, the payment instruction, and the internal approval. When all six tell the same story, the payment is safe. When they don't, money goes out wrong. Today a finance team reads all six by hand, for every payment. The problem: - The pack on the desk is always from last week's shipment. Finance is permanently behind. - Suppliers chase, and the chasing takes more time than the payment itself. - Quiet mismatches in quantity, currency, tax, or payee get caught at month-end, if at all, and usually after the money has already gone. - There's no time left for genuine review, because reading six documents per payment eats the whole day. The pack arrives, the reconciliation takes days, and the supplier emails again. The currency was wrong all along. What you get back: Clean payments pay themselves, so working capital is freed and suppliers are paid on the right terms. Customs and tax mismatches are caught before the money moves, not written off afterwards. And your team finally has time for real review. Built from: Any-format Reading, Document Matching, Rule & Tolerance Checks, Finance-System Posting, Audit Trail, Plain-English Questions. ### Defect Intelligence https://attentions.ai/agents/defect-intelligence Every defect report, finally useful to every team. When something goes wrong with a vehicle, someone writes it up in a detailed report. (Carmakers call it a PCR, or a Field Investigation Report.) It tells the whole story of one failure: what the customer said, what the dealer saw, what the technician fixed, what was fine and what wasn't, the parts replaced, the photos, the sensor readings, the invoice, and the root cause. A maker collects thousands of these a month, in Excel, PDF, and Word, across every model. The problem is that only the engineering and warranty teams ever open them. So sales walks into fleet meetings blind, marketing leans on year-old brochure lines, service centres solve the same complaint from scratch, and R&D never finds out whether the last fix actually worked. This agent reads every report and turns it into something all of those teams can use. The answers that could win deals and prevent breakdowns are buried in reports nobody has time to read. For example: - Which dealers truly understand a complaint, and which ones guess. - How the best service centres fix a fault, versus the slow ones. - Which parts fail, and under what load, terrain, climate, and use. - Whether a fault was closed with a like-for-like part or a genuine upgrade. - Which defects are quietly spreading into other parts. - The shortest path from a new complaint to the right diagnosis. Sales walks in without the story. Marketing claims reliability it can't back up. Service centres reinvent the wheel. R&D guesses. What you get back: Sales walks into fleet meetings with the real story. Marketing makes reliability claims that survive scrutiny. Service centres reach a proven fix faster. And R&D finally sees whether an upgrade worked, in the field, in numbers. Built from: Report Intelligence, Any-format Reading (including photos), Pattern & Anomaly Detection, Plain-English Questions, Audit Trail. ### Clinical Scribe https://attentions.ai/agents/clinical-scribe The doctor talks to the patient. The agent writes the note. After every patient visit, a doctor has to write it up. The standard format is the SOAP note: what the patient Said, what the doctor Observed, the Assessment (the diagnosis, with the standard ICD-10 codes that insurers and billing use), and the Plan (treatment, prescription, follow-up). It's the legal record of the visit, the basis for billing, and what audits check. Today most of it is typed from memory, hours after the patient has left. This agent writes it during the visit instead. The problem: - Doctors lose hours of every day to writing notes instead of seeing patients. - Notes written from memory at the end of the day miss details. - Missed or under-entered ICD-10 codes mean billing quietly leaks. - Paperwork is the number-one reason good clinicians leave the profession. The chart is the proof, the proof is incomplete, and the doctor is exhausted. What you get back: Doctors get their evenings back. Notes are fuller and more consistent, because they're written while the visit is fresh. Billing matches what actually happened, so claims go through cleanly. Built from: Conversation-to-Notes, Structuring, Rule Checks (ICD-10), Record-System Posting, Audit Trail. ### Patient Front Desk https://attentions.ai/agents/patient-front-desk Every call answered. Every appointment booked. The phone is the front door of every clinic. Patients call to book, to reschedule, to refill a prescription, to ask a question, to chase a result, or to check a bill. Today a large share of those calls go unanswered. Each missed call is a missed appointment, a missed refill, and lost revenue, because the patient simply calls the next clinic on their list. This agent answers the phone so no one slips through. Every call needs five things to go right. When the desk is overwhelmed, all five break: - Too many calls never connect, especially evenings, weekends, and peak times. - No one sends reminders, so patients no-show. - Refill requests slip through, and that's pharmacy revenue lost. - The front desk is stuck on the phone instead of helping the patients standing in the lobby. - Bills get queried but not paid. The phone rings, the front desk is busy, the call goes to voicemail, and the competitor books the patient. What you get back: More appointments booked, fewer missed calls, and a reception team free to look after the patients in front of them. Refills and bills get handled instead of dropped. Built from: Private Document Chat, Conversation Handling, Real-time Eligibility Checks, Practice-System Posting, Plain-English Questions, Audit Trail. ### Warranty & Fraud Intelligence https://attentions.ai/agents/warranty-fraud-intelligence Every claim checked, with a verdict you can audit. When something under warranty breaks, a claim comes in to pay for the repair. From a big dealer network, each claim arrives as six pieces of evidence: the claim form and job card, the damage photos, the parts invoice, the part identified as faulty, the vehicle's ID and service history, and an internal approval. When all six tell the same story, the claim is genuine. When they don't, someone is being paid for damage that didn't happen, or that wasn't the maker's to cover. Today every claim lands on a single adjudicator's desk, and one person simply can't check them all, so most get approved. In one review, nearly every claim had been waved through, including ones where the paperwork itself said the wrong part had been blamed. Every claim hides seven questions that no single reviewer can answer at scale: - Is the same damage photo being reused across different claims and dealers? - Is an invoice number being reused with a different total? - Is the same vehicle being claimed twice? - Is the claim past its warranty window? - Was it approved the same day, with no time to cross-check anything? - Does the damage match a pattern the maker specifically excludes from cover? - Does the dealer's own paperwork contradict itself? One person can't remember thousands of past invoice numbers, eyeball a photo against the maker's reference gallery, or trace one vehicle across months of claims while the phone is ringing. So they approve, and finance writes off the difference later. What you get back: Every claim gets a real check instead of a rubber stamp. Honest claims are paid faster, suspect ones get a human's attention before the money leaves, and your recoverable exposure is finally quantified and citable. Built from: Any-format Reading (including photos and video), Pattern & Anomaly Detection (across the whole network), Rule Checks, Document Matching, Audit Trail. ### BOQ Intelligence https://attentions.ai/agents/boq-intelligence Read and compare huge tender documents in minutes. A bill of quantities (BOQ) is the detailed, line-by-line list of every material and task a construction or engineering job needs, with quantities and rates. They run to thousands of lines and live inside enormous tender packs. Reading one, checking it, and comparing it against a supplier's quote or an earlier version is slow, expert work that ties up your best engineers. This agent does the reading and comparing for them, and it works across all your engineering, tender, and compliance documents. The problem: - BOQs and tender packs are huge and arrive in every format, including scans. - Comparing your BOQ to a quote, line by line, takes days. - A missed or mismatched line turns into a surprise cost or a change order later. - Your most experienced people spend that time on data entry instead of judgment. What you get back: Reviews and bids that took days take minutes. Mismatches show up before they become change orders. And your senior people spend their time deciding instead of retyping. Built from: BOQ & Spec Reading, Any-format Reading (with OCR and translation), Document Matching, Plain-English Questions with source links, Audit Trail. ## Solutions - [Finance](https://attentions.ai/solutions/finance): Accounts payable · Finance & the CFO. Your team stops re-keying and handles only the exceptions. Payments go out on time, and month-end close is audit-ready. - [Healthcare](https://attentions.ai/solutions/healthcare): Doctors · Clinic admin & front desk. Doctors get their evenings back, every call is answered, and every appointment is booked. - [Construction & Manufacturing](https://attentions.ai/solutions/construction-manufacturing): Estimating & commercial · Quality & reliability. Reviews that took days take minutes, and every defect report becomes something every team can actually use. - [Automotive](https://attentions.ai/solutions/automotive): Warranty & aftersales · Finance. Every claim gets a real check instead of a rubber stamp, and recoverable exposure is finally quantified and citable. - [Any document-heavy team](https://attentions.ai/solutions/any-team): Any team buried in documents. Your team finds answers in seconds instead of hours, privately, with the source attached. ## Key pages - [Platform](https://attentions.ai/platform): A private ChatGPT, trained on your own documents, running on your own servers. Also the platform the other agents are built on: start here and the rest get easier. - [Pricing](https://attentions.ai/pricing): Live in 2-4 weeks. Pays for itself within 6 months. - [Security](https://attentions.ai/security): We work to GDPR, HIPAA, SOC 2 Type 1, ISO 27001. - [About](https://attentions.ai/about): Founded in 2023 by Puneet Kumar Ojha and Ankit Agrahari. Offices in Dubai and Pune. - [Contact](https://attentions.ai/contact): Book an assessment. Email sales@attentions.ai. ## FAQ ### How do I know it won't just make things up? It works from a fixed set of steps you agree on, the same way every time, so it doesn't improvise or invent answers. Every answer it gives points back to the exact document and line it came from, so you can always check the source for yourself. When something falls outside the rules you set, or it isn't sure, it doesn't guess. It stops and passes the case to a person to decide. ### Does our data ever leave our environment? No. Everything runs on your own servers or in your own cloud account on AWS, Google Cloud, or Azure. Your documents and customer data never go to a public API. We work to GDPR, HIPAA, SOC 2 Type 1, and ISO 27001. ### How long until it's actually in production? Most agents go live in two to four weeks, not months stuck on a pilot that never ships. We start with a short, fixed-fee assessment to scope the first workflow and confirm it's a fit before you commit to anything bigger. ### Won't running AI all day cost more than it saves? That's the quiet trap with big general-purpose models. Ours are small and focused, so they need far less compute. We size the hardware to the job, watch the running cost from day one, and handle the FinOps, so it stays operationally cost-effective as your volumes grow. ### How do you make sure our team actually adopts it? The agent fits the tools and steps your team already uses, takes over the repetitive work, and routes exceptions to a person. So it removes effort instead of adding another system to learn. ### What if our exact workflow isn't one of your agents? Tell us the workflow. There's a good chance we can build it from capability-agents we've already proven elsewhere, which is faster and cheaper than starting from scratch. ## Insights - [Why your AI bill is bigger than the work it replaced, and how to fix it](https://attentions.ai/insights/why-your-ai-bill-is-bigger-than-the-work-it-replaced): A lot of enterprises are quietly finding that their AI costs more to run than the manual work it was meant to save. Here's why it happens, and how to turn it around. - [How we stop agents from making things up](https://attentions.ai/insights/how-we-stop-agents-making-things-up): When an answer lands on an invoice, a claim, or a patient record, “usually right” isn't good enough. Here's how we build for “right, and able to prove it.” - [Sovereign by design: keeping enterprise data in your own walls](https://attentions.ai/insights/sovereign-by-design): Your data shouldn't have to leave your environment for AI to be useful. Here's what it means to build AI that's sovereign by design. - [The ROI of ValueMaxx agents: where the money actually comes back](https://attentions.ai/insights/the-roi-of-valuemaxx-agents): The honest arithmetic of production AI agents: the four places the return comes from, why running cost decides everything, the payback model we commit to in writing, and how to measure it on your own workflow. ## Whitepapers - [Invoice Intelligence](https://attentions.ai/whitepapers/invoice-intelligence): Any invoice in, a clean finance entry out, private, cost-effective at scale, and deterministic enough for production. - [Enterprise Document Intelligence (artiGen)](https://attentions.ai/whitepapers/artigen): A private ChatGPT over your own corpus, the sovereign platform every other agent is built on. - [Voucher Matching](https://attentions.ai/whitepapers/voucher-matching): Six documents checked, one clean cross-border payment out, matched, cited, and confidence-scored on your infrastructure. - [Defect Intelligence](https://attentions.ai/whitepapers/defect-intelligence): Every defect report, finally useful to every team, trust-scored, source-tied, and cost-effective across huge volumes. - [Clinical Scribe](https://attentions.ai/whitepapers/clinical-scribe): The doctor talks to the patient; the agent writes the note, on-premise, HIPAA/GDPR, clinician-signed. - [Patient Front Desk](https://attentions.ai/whitepapers/patient-front-desk): Every call answered, every appointment booked, grounded in your records, flat-cost through every spike. - [Warranty & Fraud Intelligence](https://attentions.ai/whitepapers/warranty-fraud-intelligence): Every claim checked, one auditable verdict, network-wide correlation, cited evidence, the same rulebook for every dealer. - [BOQ Intelligence](https://attentions.ai/whitepapers/boq-intelligence): See the price variation on every like-for-like line, across projects and suppliers, so procurement plans tighter and never orders the higher-priced bid. - [ValueMaxx Agents in Production](https://attentions.ai/whitepapers/valuemaxx-agents-in-production): Production AI that's private, cost-effective at scale, and deterministic. Eight agents, one repeatable pattern.