The workflows that leak money, and the agents that stop it.
Every industry has three or four document-heavy, deadline-driven workflows where an AI agent with a human gate pays for itself in weeks.
Maritime & Shipping
Port-call coordinator · Laytime & demurrage agent · Charter party extraction
Fintech & Lending
Inbound lead qualification agent · KYC document agent · Revenue Recovery Agent
Healthcare
Claim pre-check agent · Pre-auth follow-up agent · Patient enquiry agent
Logistics & Supply Chain
Enquiry-to-quote agent · POD & invoice reconciliation · Exception alert agent
CA and accounting firms
Collections Agent · Policy Agent · Access Review
Hospitals and clinics
Policy Agent · Privacy Scan · Breach Desk
Manufacturing
RFQ response agent · Dealer order-intake agent · PO reconciliation agent
Real Estate & Proptech
Inbound lead agent · Site-visit scheduler · Broker follow-up agent
SaaS & Startups
MVP in weeks · billing and auth · fixed-price product builds
Sales-Led Businesses
Inbound agent · outbound guardrail · CRM and RevOps
Contracts, statements, invoices, certificates, enquiries, turned into structured data with the source page attached.
Enquiries on WhatsApp, email and phone get a first reply, a qualification and a booking before a competitor sees them.
Claims, invoices, instalments and demurrage followed up through escalation with a rationale trail and a human on every gate.
Industry AI Agents and Software: Frequently Asked Questions
What is a vertical AI agent?
A vertical AI agent is an agent built for one industry workflow, such as claim pre-checks in healthcare, laytime calculations in shipping or RFQ responses in manufacturing. Unlike a general chatbot, it reads your documents, follows your rules and writes into your systems. At XDQ Labs every vertical agent runs on XDQ AgentOS, with a human approval gate on consequential actions, an audit log of each step and guardrails on what it may touch.
Which business workflows are best suited to AI agents?
The best candidates are document-heavy, deadline-driven workflows with clear rules and a measurable cost of delay. Common examples are answering enquiries within seconds, turning contracts and invoices into structured data, reconciling purchase orders and payments, and chasing overdue receivables. We usually pick one such workflow, run a three to four week pilot with a defined outcome, and only then expand to the next workflow.
How do you keep AI agents safe in regulated industries?
We keep agents safe by limiting what they can do, recording everything they do and requiring a person to approve anything consequential. On XDQ AgentOS, money movements, contract changes and external messages default to a human checkpoint. Access is least-privilege, data stays in your environment where required, and each action is logged with a rationale. Before launch we also test the agent layer for prompt injection and tool abuse.
Can one AI agent platform serve several departments?
Yes, XDQ AgentOS is designed so several agents share one platform, one audit log and one set of guardrails. A company might start with an enquiry agent for sales, then add a collections agent for finance and a document agent for operations. Each new agent reuses the integrations already built, so later agents typically take two to three weeks rather than starting from zero.
How much does an industry AI agent cost to build?
A single-workflow agent pilot usually falls in the USD 1,000 to 5,000 or 5,000 to 20,000 band, depending on the number of integrations and channels. Multi-agent programmes across departments typically sit in the 20,000 to 50,000 band or above. We give a fixed quote within two working days of receiving a brief, and the code, configuration and IP belong to you at handover.
Free courses for your industry
Sourced lessons on the rules, data and AI work that matter in your sector, written by XDQ Editors. Every lesson ends with a short quiz.
From USD 49 or INR 2,999 a month. A person approves every step.