Try now with demo data
USE CASE · CUSTOMER SUPPORT & SERVICE OPERATIONS · LOCAL RAG
Your Best Agent Is Not Always On Shift. Your AI Should Be.
Tier 1 and tier 2 agents lose hours every week hunting for answers that already exist. Noot 8 puts a cited, page level answer on their screen in seconds, from a box that sits on your own office LAN.
The Operational Bottleneck
A customer writes in. The agent opens the ticket. Then the real work starts: which product manual covers this model, which firmware note changed the behaviour, which shared folder holds the latest troubleshooting flow? The agent opens five tabs, scrolls through three PDFs and pings a colleague. Twenty minutes pass. The customer waits.
The slowest part is not the problem itself. It is the search. Knowledge lives in fragmented folders, old wikis, email threads and scanned service sheets. Folder search finds file names, not answers. So tier 1 agents escalate to tier 2. Tier 2 agents interrupt the one senior engineer who "just knows". That person answers the same question for the fourth time this week, and their own tickets sit untouched.
Cloud AI looks like the fix, but it brings a new trap. Ticket histories hold customer names, contract terms, serial numbers and sometimes health or financial details. Pasting them into a public assistant or uploading them to a SaaS index creates a GDPR exposure and a data processing headache. Many Italian support teams simply ban the tools, and the manual search goes on.
Support leaders face a dilemma: keep searching by hand and burn capacity, or adopt cloud AI and risk customer data.
- The Manual Search Pitfall: Every minute spent digging is a minute the customer waits. Every escalation caused by a missing answer inflates cost per ticket and burns out your senior staff.
- The Cloud AI Privacy Risk: Customer records leave your building, land on servers you do not control and may be used in ways your contracts never approved.
How Noot 8 Solves It Locally
Noot 8 is a plug and play edge appliance. You connect it to your office LAN, point it at your shared drives and it starts indexing. Setup takes about five minutes and needs zero IT configuration. No cloud account. No integration project. No consultant.
Agents then ask questions the way they would ask a colleague. Noot 8 returns a short answer, the exact document and the exact page. The agent can open the source, confirm it and reply to the customer with confidence.
Eye Cortex: Visual Intelligence for Real Support Documents
Support knowledge is rarely clean text. It is scanned service sheets, exploded part diagrams, wiring schematics, screenshots of error dialogs and tables of fault codes. Classic OCR flattens these into garbled strings and drops the table structure. Agents then get wrong answers or no answers.
Eye Cortex works differently. It uses ColPali, a 4B parameter visual AI model, to read each page as an image. It understands layout, columns, arrows, labels and cell borders as a human would. A fault code table stays a table. A diagram stays a diagram. There are no OCR errors to chase, because there is no OCR step.
- Product manuals and service guides: find the exact torque value, reset sequence or LED pattern, with the page cited.
- Fault code tables and error catalogues: ask "what does E47 mean on the 2024 model" and get the correct row.
- SLA matrices and escalation policies: confirm response times and who owns the next step for a given customer tier.
- Screenshots and scanned RMA forms: match a customer's photo or attachment against known issues and procedures.
- Resolved ticket notes and internal runbooks: turn buried tribal knowledge into something every agent can query.
Workflow Scenario: The Intermittent Fault Ticket
Before: A tier 1 agent receives a photo of a blinking panel and a vague complaint. They search the shared drive for the model name and find 14 files. They open three, then message a tier 2 colleague, who is on a call. After ten minutes the ticket is escalated. The senior engineer interrupts their own work, recognises the pattern from a service bulletin two years ago and finds it in a scanned PDF. Total time: 45 minutes, three people, one frustrated customer.
After: The agent types the symptom and model into Noot 8. In four seconds the answer appears: the blink pattern means a sensor calibration fault, with the fix described on page 12 of the service bulletin and the table row highlighted. The agent replies to the customer in two minutes. Nobody is interrupted. Nothing is escalated.
Architectural Advantage & Privacy Guarantee
Privacy here is physical, not contractual. Noot 8 embeds and indexes every document on hardware sitting inside your building, on your LAN. Customer data never travels to a third party server. There is no outbound pipeline to audit, because there is nothing to send.
That matters for GDPR, where data minimisation and control over processors are central duties. It also matters under Italian AI Law L.132/2025, which sets clear expectations for transparent and accountable AI use. Because answers carry page level citations, your team can show exactly where each response came from. Auditors and data protection officers get a simple story: the data stays here, and every answer can be traced.
Cost is just as simple. One flat price covers the whole team, whether you have six agents or sixty.
| Operational Dimension | Noot 8 Local RAG | Cloud AI (Copilot / Public SaaS) |
|---|---|---|
| Where ticket and customer data lives | ✓ Indexed and stored on the appliance on your LAN | ✗ Uploaded to external servers |
| Compliance for customer personal data (GDPR / EU AI Act) | ✓ No third party processor, cited and traceable answers | ✗ Extra processor agreements and transfer risk |
| Understanding scans, fault tables and diagrams | ✓ Eye Cortex reads pages visually, no OCR errors | ✗ Text extraction that breaks tables and drawings |
| Setup effort for the support team | ✓ Five minutes on the LAN, zero IT configuration | ✗ Connectors, permissions and rollout projects |
| Pricing as the helpdesk grows | ✓ Flat €149/month for the whole team | ✗ Per seat cost that grows with every new agent |
Practical Applications in Customer Support & Service Operations
- Tier 1 first contact resolution: Give new agents the same answers a ten year veteran would give. They resolve common faults on the first reply instead of passing the ticket up the chain.
- Tier 2 deep diagnostics: Query service bulletins, firmware notes and past resolutions together. Engineers confirm root causes faster and stop rereading whole manuals.
- Escalation triage: Check the SLA matrix and escalation policy in seconds. Agents escalate only when the document says they must, and attach the cited page to the handover.
- Protecting senior engineers: Capture tribal knowledge from runbooks and closed tickets. Experts stop being a human search engine and return to complex cases.
- Consistent, auditable replies: Every answer points to a page. Team leads can review quality, coach agents and prove to customers that guidance came from approved documentation.