We build autonomous AI agents that don’t just answer questions — they plan, reason, take actions, and complete complex multi-step tasks on your behalf. From customer-facing sales agents to back-office operations bots, Aigentora delivers production-grade agentic AI tailored to your workflows, your data, and your business goals.
- 50+ AI Agents Shipped
- 4-8 Weeks to Deployment
- 8+ Industries Served
- Runs 24/7 Without Human Intervention
Every agent we build is custom — scoped to your workflows, integrated with your systems, and designed with the guardrails your business requires. Here are the core agent types we deliver.
The companies deploying agents today aren’t just saving time — they’re building an operational capability that compounds over time. The longer you wait, the wider the gap.
💰 $47 Billion
Projected global AI agent market size by 2030 (Grand View Research). Enterprise adoption is accelerating sharply across enterprise workflows in 2025–2026.
💼 80% of Repetitive Tasks
- AI agents can autonomously handle up to 80% of routine knowledge work tasks — freeing your team for judgment-intensive work that actually needs humans.
📈 3× Faster Throughput
- Businesses that deploy operational AI agents consistently see 2–4× throughput improvement in the workflows automated — without adding headcount.
💵 ROI in 60–90 Days
- Most Aigentora agent deployments show measurable ROI within the first 60–90 days of production operation — earlier than almost any other technology investment.
The most impactful AI agents aren’t generic — they’re built around the specific workflows, data, compliance requirements, and KPIs of your sector. Here’s what we deploy across 8 industries.
AI Agents for eCommerce & Retail
Deploy agents across your entire customer journey — from first touch to post-purchase — that scale support, increase conversions, and run 24/7 without additional headcount.
AGENT USE CASES:
- AI Sales Qualification Agent
Engages website visitors, understands their intent, recommends products based on stated preferences, handles objections, and routes high-intent buyers to checkout or a sales rep at exactly the right moment. - Order Management Agent
Handles order status queries, return initiation, exchange requests, and refund processing autonomously — integrated with your OMS, Shopify, or Magento backend. - Abandoned Cart Recovery Agent
Proactively reaches out to abandoned cart users via email or WhatsApp, answers questions that caused the drop-off, and offers relevant alternatives or incentives. - Inventory & Restock Notification Agent
Monitors stock levels across SKUs, sends proactive alerts to relevant team members, and drafts purchase orders for review when reorder thresholds are triggered.
CLIENT RESULT:
- A US D2C beauty brand’s AI sales agent handled product queries, recommended skincare routines, and guided users through checkout. Conversion rate increased by 35% and abandoned cart instances dropped by 50% within 8 weeks of deployment.
AI Agents for Healthcare & HealthTech
HIPAA-aligned agents that reduce administrative burden, improve patient experience, and free clinical staff for the work only humans can do.
AGENT USE CASES:
- Patient Appointment Agent
Books, reschedules, and cancels appointments via your website, WhatsApp, or phone — integrated with your scheduling system. Sends automated reminders to reduce no-shows. - Symptom Pre-screening Agent
Collects patient symptoms and history before consultations using structured conversation flows. Outputs structured intake summaries for clinician review — not diagnoses. - Medical Billing & Insurance Agent
Answers patient billing questions, checks insurance coverage and claim status, and escalates unresolved issues to the billing team with full context and case notes. - Staff HR Onboarding Agent
Helps hospitals manage new hire document collection, policy education, credential verification status, and IT access requests — reducing HR team workload significantly.
CLIENT RESULT:
- A diagnostic lab chain in India deployed a healthcare appointment agent across WhatsApp and web. Response time improved 4× and missed appointments dropped by 60% within the first month of operation.
AI Agents for Financial Services, Banking & Insurance
Compliant, auditable agents that handle high-volume financial workflows, customer onboarding, and regulatory data tasks — with full traceability at every step.
AGENT USE CASES:
- Customer Onboarding & KYC Agent
Guides new customers through KYC document collection, validates submissions, flags incomplete or mismatched documents, and updates your CRM — reducing onboarding time from days to hours. - Loan Pre-qualification Agent
Pre-screens applicants against eligibility criteria, collects supporting documentation, provides status updates, and hands off qualified applications to underwriters with structured summaries. - Insurance Claims Intake Agent
Handles first-notice-of-loss conversations, gathers claim details, validates policy coverage, and routes to the right adjuster — with the full claim packet pre-assembled. - Reporting & Reconciliation Agent
Extracts data from statements and transaction logs, generates structured reports, flags discrepancies above defined thresholds, and delivers outputs to the right stakeholders on schedule.
CLIENT RESULT:
- A financial services firm automated their loan inquiry intake with an AI agent. Pre-qualification conversations that previously required 2 hours of analyst time were completed in under 15 minutes — with 90% accuracy on document checklist completion.
AI Agents for Real Estate & PropTech
Agents that engage prospects around the clock, qualify serious buyers and tenants, and move leads through your funnel without waiting for a human to pick up the phone.
AGENT USE CASES:
- Lead Qualification & Viewing Booking Agent
Converses with property inquiries on your website or WhatsApp, collects budget, timeline, and location preferences, qualifies intent, and books site visits or video calls directly into your calendar. - Rental Application Agent
Pre-screens prospective tenants with structured questions, collects and validates required documents, answers tenancy agreement queries, and updates your property management system. - Market Comparison & Investment Brief Agent
Aggregates listing data, recent sales comparables, rental yield data, and area trends to generate on-demand investment summaries for broker or investor conversations. - Property Listing Description Agent
Auto-generates SEO-optimized, compelling property descriptions from structured listing data — reducing time-to-publish and maintaining consistent brand voice across all listings.
CLIENT RESULT:
- A real estate agency in UAE deployed a lead qualification agent on WhatsApp and their website. Qualified lead volume grew 2.5× and the sales cycle shortened by 30% as agents spent less time on cold inquiry follow-up.
AI Agents for Manufacturing & Logistics
Operational agents that surface information instantly, coordinate across systems, and eliminate the manual coordination overhead that slows down factories and supply chains.
AGENT USE CASES:
- Supply Chain Monitoring Agent
Integrates with your logistics APIs to track shipments, detect delays proactively, generate alternative routing recommendations, and notify the right stakeholders before issues escalate. - Maintenance Scheduling Agent
Monitors equipment health data from IoT sensors, identifies machines approaching maintenance thresholds, schedules preventive maintenance tasks, and assigns work orders automatically. - B2B Sales Support Agent
Manages complex order quoting workflows, handles technical product specification queries, drafts RFQ responses for review, and updates your ERP with confirmed order details. - Supplier Communication Agent
Standardizes vendor communication — auto-drafts purchase orders, follows up on delivery confirmations, processes shipping updates, and escalates delays above threshold.
CLIENT RESULT:
- A manufacturer integrated a supply chain monitoring agent with their logistics provider APIs. Proactive delay alerts allowed the operations team to reroute 23% of at-risk shipments before customer impact — reducing expedite costs by over $200K in the first quarter.
AI Agents for HR, Talent Acquisition & People Operations
Agents that handle the high-volume, repetitive work of recruiting and HR ops — so your team can focus on the human judgment work that actually moves the needle.
AGENT USE CASES:
- Candidate Screening & Qualification Agent
Engages applicants with structured screening conversations, scores against job requirements, collects portfolio links or references, and produces ranked shortlists with evaluation rationale. - Employee Onboarding Agent
Guides new hires through IT setup, document submission, benefits enrollment, company policy education, and week-one checklist completion — available 24/7 from day one. - HR Helpdesk Agent
Answers employee questions about leave policies, payroll cycles, benefits, performance review timelines, and escalation procedures — reducing tier-1 HR ticket volume significantly. - Exit Interview & Offboarding Agent
Conducts structured offboarding conversations, collects asset return confirmation, processes exit documentation, and summarizes themes from exit feedback for HR analytics.
CLIENT RESULT:
- A 3,000-person logistics company deployed an HR helpdesk agent that handled 68% of employee HR queries autonomously — freeing up 2 full-time HR associates for strategic work within 6 weeks of go-live.
AI Agents for Education, EdTech & Training Platforms
Agents that personalize the learning experience, reduce administrative overhead, and ensure students and educators get the right support at the right moment.
AGENT USE CASES:
- Student Learning Support Agent
Available 24/7 to answer curriculum questions, explain concepts with tailored examples, recommend practice resources, and track topic comprehension over multiple sessions. - Admissions & Enrollment Agent
Handles prospective student inquiries, explains programs and fee structures, collects application documents, and schedules counselor calls — running the top-of-funnel autonomously. - Administrative Process Agent
Automates course registration queries, fee payment reminders, timetable changes, document issuance requests, and transcript processing — reducing admin department tickets. - Faculty Support Agent
Helps educators manage attendance tracking, grading reminder schedules, feedback collection from students, and resource distribution for upcoming lectures.
CLIENT RESULT:
- An EdTech company deployed a combined learning support and enrollment agent. Student helpdesk ticket volume dropped 45% and average inquiry-to-enrollment conversion improved by 28% within 90 days — without adding sales or support headcount.
AI Agents for SaaS Companies & Technology Businesses
For SaaS companies building AI-powered features into their own products, or needing internal agents that handle customer success, developer support, and growth operations.
AGENT USE CASES:
- In-Product AI Assistant
An agent embedded inside your SaaS product that helps users accomplish tasks, find features, troubleshoot issues, and discover value — reducing churn and support load simultaneously. - Developer Support Agent
Answers technical API questions, searches documentation and error logs, identifies known issues, and drafts support tickets with full context for escalation to engineering. - Customer Success Monitoring Agent
Tracks product usage signals, identifies accounts at churn risk or expansion opportunity, and triggers automated outreach or CSM alerts at the right moment. - Growth & Outbound Agent
Researches target accounts, personalizes outreach based on company data and intent signals, manages email sequences, and books demos — integrating with HubSpot or Salesforce CRM.
CLIENT RESULT:
- A B2B SaaS company deployed an in-product AI assistant across their platform. Average time-to-first-value dropped by 40%, support ticket volume reduced by 32%, and net revenue retention improved by 8 points within two quarters.
Every number below is from a live production deployment — not a demo, not a pilot. These are the outcomes clients achieved after going live with Aigentora-built agents.
🛒 eCommerce · D2C · USA · GPT-4
- Case: Beauty Brand AI Sales Agent Lifts Conversion 35% and Cuts Abandoned Carts by Half
- Solutions: A D2C skincare brand was losing significant revenue to abandoned carts and slow response times on product queries. We deployed a GPT-4 powered sales agent on their website that handled skincare routine consultations, product comparisons, and objection handling in real time — guiding customers to checkout without human intervention.
- Metrics: 35% increase in conversion rate | 50% fewer abandoned carts | Live in 8 weeks
🛒 eCommerce Marketplace · SEA · Multilingual
- Case: Multilingual Customer Service Agent Cuts Live Agent Workload by 70% Across SEA Markets
- Solutions: A Southeast Asian eCommerce marketplace needed customer support in 6 languages across delivery status, returns, and refunds. We deployed a multilingual agent integrated directly with their order management system — capable of resolving the full return and refund journey without agent involvement.
- Metrics: 70% reduction in live agent workload | 18% improvement in CSAT | 6 languages supported
🏥 Healthcare · Diagnostic Labs · HIPAA-aligned
- Case: Healthcare Appointment Agent Delivers 4× Faster Response and 60% Fewer Missed Appointments
- Solutions: A chain of diagnostic labs across India was losing appointments to slow booking processes and missed reminder calls. We built a WhatsApp and web agent trained on their SOPs and integrated with their scheduling system — handling bookings, test information, and automated reminders around the clock.
- Metrics: 4× faster response time | 60% drop in missed appointments | Deployed across 12 locations
🏠 Real Estate · Agency · UAE · WhatsApp + Web
- Case: Lead Qualification Agent Grows Qualified Leads 2.5× and Shortens Sales Cycle by 30%
- Solutions: A UAE real estate agency was struggling to respond to inquiry volume fast enough to prevent lead drop-off. We deployed a lead qualification agent on WhatsApp and their website that gathered property preferences, assessed budget and timeline, and booked site visits — handing the sales team warm, pre-qualified leads with full context.
- Metrics: 2.5× qualified lead growth | 30% shorter sales cycle | Zero additional headcount
A chatbot follows a script — it gives pre-defined answers to recognized inputs. An AI agent reasons. It understands context across a full conversation, decides what action to take next, calls external tools and APIs, executes tasks in connected systems, and handles novel situations it wasn’t explicitly programmed for.
If someone asks your chatbot “what’s my order status?” it looks up a canned response. An AI agent queries your OMS with the customer’s order ID, retrieves the real-time status, and if the order is delayed, proactively offers the customer options — all without human involvement.
Yes — integration is a core deliverable in every engagement, not an add-on. We connect agents to Salesforce, HubSpot, SAP, Notion, Confluence, Slack, WhatsApp Business API, custom REST APIs, SQL databases, and more.
We handle authentication, authorization, error handling, and rate limiting properly. Bi-directional integrations (agent reads from and writes back to your systems) are standard in most deployments.
We build agents with multiple layers of safeguards:
Guardrails: Defined boundaries on what the agent can and cannot do — certain actions always require human approval.
Structured outputs: Agents use function calling and JSON schemas to constrain responses to valid, expected formats.
Confidence thresholds: When the agent’s confidence in a decision is below a defined threshold, it escalates to a human rather than guessing.
Audit logging: Every action the agent takes is logged with full context — what it received, what it reasoned, what it did. Nothing is a black box.
Human-in-the-loop gates: For high-stakes actions (sending a payment, cancelling a contract, issuing a refund above a threshold), we build mandatory human approval steps.
For a focused, well-scoped agent with clear integrations, we typically deliver in 4–6 weeks. More complex agents involving multiple integrations, multi-step workflows, or multi-agent orchestration usually take 6–10 weeks.
We always deliver an interactive working demo at week 3–4 so you can test the agent against real inputs before it goes anywhere near production. No big-bang delivery surprises.
Yes. The foundation models we build on (GPT-4o, Claude, Gemini) have strong multilingual capability across 30–50+ languages. For customer-facing agents serving multilingual markets, we test specifically in each target language and tune prompts to ensure consistent quality.
For highly specialized languages or regional dialects, we recommend additional testing and — where needed — language-specific fine-tuning or fallback handling.
Every agent we build has a clearly defined escalation path. When the agent encounters a request outside its scope, a query it can’t answer with sufficient confidence, or a situation that requires human judgment, it escalates gracefully — handing off to a human agent with the full conversation context so the customer doesn’t have to repeat themselves.
Escalation triggers are configurable: by topic, by confidence level, by sentiment, or by specific keywords. Escalation rates are monitored in production so we can continuously improve coverage.
We apply the principle of least privilege: agents only have access to the data and systems they need for their specific task — nothing more. Sensitive data (PII, financial records, health information) is handled according to the compliance requirements of your industry.
For HIPAA, GDPR, and SOC-2 environments, we design data flows that keep sensitive information within your controlled environment and never pass it through external systems without authorization. All agent outputs involving sensitive data are logged in your controlled infrastructure.
Yes — always. We deliver an interactive demo environment at week 3–4 that you can test against real inputs before we move to production. This is a non-negotiable part of our process because it’s where the most important feedback happens.
Most clients use the demo phase to refine edge case handling, adjust the agent’s tone and escalation logic, and confirm integrations are working correctly against their live systems.
Every engagement includes 60 days of post-launch support: bug fixes, prompt refinements, integration troubleshooting, and monitoring setup. After that, we offer monthly retainer options for ongoing optimization — including model upgrades as new versions release, prompt A/B testing, and expansion to new workflows or channels.
We also provide monitoring dashboards so your internal team can track agent performance without needing to come back to us for basic visibility.
Project cost depends on agent complexity, number of integrations, and deployment environment. Most Aigentora agent projects range from a focused single-workflow agent to a multi-integration enterprise deployment.
We provide a detailed scope and fixed-price proposal after a discovery call — so you know exactly what you’re getting and what it costs before committing. There are no hidden change orders for work that was in the original scope.
Book a free 30-minute call and we’ll give you a realistic estimate within 3 business days.
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