USE CASES · 11 INDUSTRIES

AI that fits
your industry.

Eleven industries where Adorbis has deep capability patterns. Each section covers common pain points and concrete use cases for fine-tuned models, workflow automation, and private LLM deployment in that vertical.

Book AI Consultation → ← Back to Home

AI is not one-size-fits-all. A model tuned for radiology reports is useless for loan underwriting, and a workflow that works in a factory won't survive in a law firm. The eleven industries below outline common pain points and the AI use cases that typically create the most leverage in each — drawn from six years of building software for businesses across verticals. Specific client engagements remain confidential under NDA.

Jump to industry ↓
INDUSTRY 01

Finance & Banking

Regulated AI that auditors can sign off on.

Banks, NBFCs, insurance, asset managers, and fintechs operate under some of the tightest data-handling rules on earth. Public LLM APIs are out of the question for most sensitive workflows. We deploy on-premise AI systems that keep customer data inside your network, backed by full audit trails that pass regulatory scrutiny.

Common pain points

KYC/AML bottlenecksLoan-doc processingRisk memo draftingCompliance reportingFraud pattern detectionCustomer support triage

How we help

• KYC & AML automation: AI extracts and cross-references identity documents, screens against sanctions lists, and generates risk summaries — cutting case review time from hours to minutes while flagging anomalies a human reviewer approves.

• Loan underwriting assistant: Ingests bank statements, ITRs, and GST returns; generates a first-pass credit memo with cash-flow analysis, DSCR calculation, and exception flags — saving credit officers 70% of desk time.

• Regulatory reporting: Automated generation of RBI / SEBI / IRDAI submissions from transactional data, with human review gates before filing.

• Internal knowledge agent: Private LLM trained on your product policies, procedures, and regulatory manuals so branch staff get accurate answers in seconds instead of calling head office.

INDUSTRY 02

Retail & E-commerce

Personalization at scale without selling your data to Amazon.

Retailers and D2C brands are drowning in product data, customer conversations, and marketplace feeds — but most of the AI available to them is SaaS that takes a cut and takes their data with it. We build catalog intelligence, merchandising engines, and customer AI systems that run on your stack, inform your decisions, and keep the competitive edge proprietary.

Common pain points

Catalog enrichmentProduct taggingReview summarizationCustomer supportDemand forecastingDynamic pricing

How we help

• Catalog enrichment at scale: Vision + language models that auto-generate product titles, SEO descriptions, size charts, and category tags for tens of thousands of SKUs — matching your brand tone of voice across Shopify, Amazon, Flipkart, Myntra.

• Review intelligence: Aggregate thousands of reviews per SKU, extract themes, surface top complaints and strengths, and feed them back to merchandising and product design.

• Conversational commerce: WhatsApp and web chat agents that actually know your catalog, size chart, return policy, and delivery cutoffs — not a generic FAQ bot.

• Demand forecasting: Combine sales history, search trends, promo calendar, and weather to predict week-ahead demand per SKU per warehouse — reducing deadstock and stockouts simultaneously.

INDUSTRY 03

Transport & Logistics

Route, dispatch, and document intelligence for fleets.

Fleet operators, 3PLs, freight forwarders, and last-mile delivery networks run on a mountain of documents, unpredictable events, and thin margins. AI that understands your routes, your cargo, and your customers is the difference between a profitable load and a loss. We build the systems that turn operational exhaust into competitive advantage.

Common pain points

POD processingRoute optimizationDriver dispatchInvoice matchingClaims handlingYard/warehouse queries

How we help

• Proof-of-delivery extraction: AI reads scanned or photographed POD slips from drivers, extracts timestamp, signature, exceptions, and condition notes — feeds straight into your TMS without manual data entry.

• Dispatch copilot: AI agent monitors live orders, traffic, weather, and driver hours — proactively suggests re-routing or load consolidation and explains the reasoning to the dispatcher.

• Freight invoice reconciliation: Three-way match between bill of lading, invoice, and rate card — flags discrepancies, auto-approves clean ones, escalates disputes.

• Customer inquiry deflection: WhatsApp/SMS bot trained on your shipment data answers "where is my load?" with live GPS + ETA instead of routing every query to customer service.

INDUSTRY 04

Medical Research

Literature, protocols, and data — at the pace of discovery.

Research institutes, pharma R&D, CROs, and academic medical centers sit on top of vast structured and unstructured data — clinical notes, trial records, literature, lab results, imaging. The AI they deploy has to be private (patient data), accurate (lives depend on it), and auditable (regulators review it). That's the brief we're built for.

Common pain points

Literature searchProtocol draftingClinical note summarizationTrial eligibility screeningRegulatory submissionsAdverse event coding

How we help

• Literature review agent: Trained on PubMed + your internal corpus — summarizes across hundreds of papers, surfaces contradictions, and cites every claim with primary source links. Researchers reclaim days per week.

• Clinical trial eligibility screening: Matches patient records against inclusion/exclusion criteria of active trials — catches matches humans miss, produces audit-ready rationale for each match or non-match.

• Study protocol drafting: AI drafts first-pass CRF templates, informed consent documents, and protocol sections from a study synopsis — clinicians edit rather than write from scratch.

• Adverse event coding: Automated MedDRA coding from free-text AE reports with human-in-the-loop verification — faster reporting, consistent coding, lower regulatory risk.

INDUSTRY 05

Education Technology

AI tutors that serve students, not the data broker.

Ed-tech companies, universities, tutoring networks, and content publishers are reinventing learning with AI — but students' academic records are some of the most sensitive data around, especially for minors. We build AI-powered learning systems that keep student data on your infrastructure, align with local data laws, and actually improve learning outcomes.

Common pain points

Automated gradingPersonalized learning pathsContent generationStudent Q&APlagiarism detectionAdmission essays

How we help

• Subject-tutoring copilot: A domain-tuned LLM for each subject (math, physics, biology, programming) that explains concepts, walks through problems, and adapts to the student's level — deployed inside your app, on your infra.

• Automated assignment grading: AI evaluates written answers against rubrics with teacher-reviewable reasoning for every grade — teachers spend time on pedagogy, not red pens.

• Content production at scale: Generate practice problems, worked examples, and explainers in the style of your curriculum — with pedagogical soundness reviewed by your subject matter experts.

• Adaptive learning paths: Student's historical performance + current session data drive real-time difficulty and topic adjustments, all within your LMS.

INDUSTRY 06

Hospitals & Clinics

Clinical AI that respects HIPAA, DPDP, and the clinician's time.

Hospitals, diagnostic chains, and clinic networks generate enormous volumes of clinical notes, imaging, lab data, and administrative paperwork. Deploying public AI APIs against patient data is a legal and ethical non-starter almost everywhere. We deploy on-premise medical AI — clinical summarization, documentation support, triage assistants — that keep Protected Health Information behind your firewall.

Common pain points

Discharge summariesClinical documentationRadiology reportingTriage & intakeInsurance pre-authPatient Q&A

How we help

• Ambient clinical documentation: Private speech-to-text + summarization captures the physician-patient conversation, drafts SOAP notes, and saves 60–90 minutes per physician per day — all on-premise, no data leaves the hospital.

• Radiology report drafting: AI drafts preliminary reads from imaging studies with full explanation — radiologists review and finalize, turnaround drops 40–60%.

• Discharge summary automation: Pulls from EMR across the admission, generates a structured discharge summary in minutes, physician signs off — dramatically faster bed turnover.

• Patient portal agent: WhatsApp / app chat trained on your hospital's protocols, answers common post-visit questions, schedules follow-ups, escalates clinical concerns — all with guardrails and escalation rules reviewed by your medical council.

INDUSTRY 07

Schools & K-12

AI for teachers that protects the kids.

Schools are under pressure to prepare students for an AI-powered world while protecting minors from data misuse. Most commercial ed-tech AI tools share student data with third parties or train on it. We build AI systems for schools that give teachers real leverage while keeping student data inside the school — compliant with DPDP (India), COPPA (US), and GDPR-K (EU).

Common pain points

Lesson planningGrading & feedbackIEP documentationParent communicationReport card generationSubstitute briefings

How we help

• Teacher copilot: Lesson-plan drafting, worksheet generation, rubric creation — aligned to your curriculum (CBSE / ICSE / IB / state board). The teacher always has the final edit.

• Personalized feedback on assignments: AI reads student writing and drafts constructive feedback that the teacher reviews and sends — turning 40 papers of grading into 40 reviews of pre-drafted comments.

• Report card generation: Synthesizes term-long observations, grades, and behavioral notes into coherent narrative report-card comments, in the teacher's voice, ready for review and signature.

• Parent communication assistant: Drafts progress updates, behavior notes, and meeting agendas — in the school's tone, translated to the parent's preferred language if needed.

INDUSTRY 08

Chartered Accountants & CPAs

Automate the audit trail, not the judgment.

CA firms, CPA practices, and tax consultancies spend enormous effort on work that's structured, repetitive, and low-judgment — bank-statement categorization, GST reconciliation, TDS matching, balance-sheet prep — while the senior partners' time is locked in review. We deploy AI systems that let junior staff finish in hours what took days, and let partners focus on advisory.

Common pain points

Bank reconciliationGST filing prepExpense categorizationAudit documentationTax notice responsesClient advisory

How we help

• Bank statement & ledger reconciliation: AI matches thousands of transactions against invoices, vendor records, and chart of accounts — flagging only genuine exceptions for the CA's review. 80% time reduction on monthly close.

• GST reconciliation automation: Reconciles GSTR-2B against your books, identifies mismatches, drafts vendor follow-up emails for missing invoices, and surfaces ITC risks.

• Audit documentation assistant: Pulls sample selection, creates working papers from source documents, drafts audit memos — all following your firm's template and methodology.

• Tax notice response drafting: Income-tax notice arrives, AI reads it, pulls relevant client records, drafts a preliminary response with citations to applicable sections — CA reviews and finalizes.

INDUSTRY 09

Architecture & Design Firms

AI for the studio — briefs, drawings, specs, and code reviews.

Architecture and interior-design firms produce enormous volumes of specifications, drawings, material boards, code-compliance reviews, and client communication. Each new project reinvents the wheel because last project's knowledge is locked in PDFs and folders no one can search. We deploy private AI systems that turn a firm's past projects into living, searchable knowledge.

Common pain points

Brief-to-conceptSpecification writingCode compliance checksMaterial librariesBOQ generationClient presentation drafts

How we help

• Past-projects RAG agent: Trained on every brief, drawing, and spec your firm has produced — a junior architect asks "what did we do for bathroom ventilation on the Pune project?" and gets a direct, cited answer with the drawing attached.

• Specification drafting: From a brief + material palette, AI drafts first-pass material and finish schedules matching your firm's standards — partner reviews rather than writes from scratch.

• Code compliance review: AI cross-checks drawings against applicable building code clauses (NBC / local byelaws) and flags potential non-compliance for the project architect.

• BOQ automation: Extracts quantities from drawings and drafts BOQ line items with historical pricing from past projects — quantity surveyors verify instead of type.

INDUSTRY 10

Manufacturing Industries

Predictive maintenance, quality control, and the end of paper travellers.

Manufacturing companies — process, discrete, contract — run on a fragile combination of SCADA data, ERP transactions, maintenance logs, quality reports, and tribal knowledge. The operators who know where the bodies are buried are retiring. We deploy AI systems that capture that tribal knowledge, predict machine failures before they happen, and turn plant-floor data into continuous improvement.

Common pain points

Predictive maintenanceQuality inspectionShop-floor documentationRoot-cause analysisSOP generationSpare-parts forecasting

How we help

• Predictive maintenance: Combine SCADA/PLC data with maintenance logs and vibration sensor data to predict equipment failure 3–14 days ahead. Maintenance shifts from reactive to scheduled. Unplanned downtime drops 30–60%.

• Vision-based quality inspection: Line-mounted cameras + custom-trained vision models detect surface defects, dimensional deviations, and assembly errors at line speed, flagging rejects without human inspection.

• Root-cause analysis agent: When a batch fails, AI pulls together process parameters, operator logs, material receipts, and maintenance history — drafts a preliminary RCA that engineers validate.

• SOP digitization: Scan paper SOPs and work instructions, convert into searchable structured format, and deploy a shop-floor chat agent that operators can query on a tablet — answers in the language they speak.

INDUSTRY 11

Factories & Plant Operations

On-the-line AI that works with gloves on and no internet.

Factories need AI that works where the plant actually is — on the shop floor, often with patchy connectivity, by operators wearing gloves and looking at 10-inch industrial tablets. We deploy edge AI — small language models, vision models, and voice interfaces — that run on local hardware without sending a single byte to the cloud.

Common pain points

Operator guidanceShift handoverIncident reportingDefect loggingTraining new hiresCompliance audits

How we help

• Edge-deployed operator assistant: A 3B-parameter language model on a shop-floor tablet — operator speaks in their native language, AI surfaces the right SOP, troubleshoots common issues, logs the interaction. Zero cloud dependency.

• Shift handover automation: End-of-shift audio log from the supervisor is transcribed, summarized, and handed to the incoming shift as a structured briefing — no more "didn't get the memo".

• Real-time defect logging via voice: Operator sees a defect, taps the mic, describes it — AI classifies, attaches photo, logs to QMS, notifies supervisor — all hands-free, gloves-on.

• Training for new hires: Interactive AI coach walks new operators through machine setup, safety procedures, and first-production runs — consistent onboarding regardless of which senior happens to be on shift.

DON'T SEE YOUR INDUSTRY?

We probably
can still help.

The 11 industries above are where we've shipped — but the underlying stack (fine-tuning, workflow automation, private deployment) works almost anywhere. Tell us about your use case and we'll say honestly whether it's a fit.

Book AI Consultation → ← Back to Home