AI agents and automation that live inside your workflow.
Not a chatbot on a landing page. Agents that answer leads on WhatsApp and phone, chase overdue invoices, route replies.
Typical scope
- Inbound sales agent: instant reply, qualification, meeting booking
- Revenue recovery agent: follow-up → escalation → recovery
- Outbound sequence intelligence with anti-blacklist guardrails
- Voice agents on India-compliant numbers
- Document and email triage with drafts, never auto-sent
- Model-agnostic, powered by XDQ AgentOS
Tools we reach for
Chosen because we run them in production ourselves, and because you can hire for them afterwards.
Scope
One call. Written scope, fixed price, date.
Build
Weekly demos in your repo. Tests and security included.
Ship
Go live, hand over, stay on retainer or run it yourself.
Secured, automated, and running on AgentOS
Every AI agent we ship is secured and automated, guardrailed, gated and monitored. Every agent runs on XDQ AgentOS, guardrails, human gates and an audit trail included.
Questions we get about ai agents & automation
Will the agent act without a human?
Only where you set the rule. Money, contracts and external sends default to a human checkpoint.
Which model do you use?
Whichever fits the task and your data policy.
How fast can a pilot go live?
3-4 weeks for a first live agent on one channel with a measured outcome.
Pairs well with
Custom Software Development
Custom software development that ships in weeks, not quarters.
Mobile App Development
Mobile app development for iOS and Android from one codebase.
Web & SaaS Product Development
SaaS product development, from MVP to multi-tenant platform.
AI Agent Development and Automation: More Questions Answered
What is the difference between an AI agent and a chatbot?
A chatbot answers questions in a conversation, while an AI agent completes work inside your systems. An agent can qualify a lead and book the meeting, read an invoice and update the ledger, or chase an overdue payment through escalation. At XDQ Labs every agent runs on XDQ AgentOS, which adds human approval gates, guardrails on what the agent may touch and an audit log of each action it takes.
How much does it cost to build a custom AI agent?
A first AI agent on one channel and one workflow usually falls in the USD 1,000 to 5,000 or 5,000 to 20,000 band, depending on integrations. Agents that span several channels, systems and departments typically sit between 20,000 and 50,000. We give a fixed quote after a brief, with a measured outcome defined for the pilot, and you own the configuration and code built for your deployment.
How do you stop AI agents from making mistakes?
We reduce mistakes by narrowing what an agent can do, checking its work and requiring human approval for anything consequential. On XDQ AgentOS each agent has explicit permissions, validation rules on its outputs and a confidence threshold below which it hands the task to a person. Every action is logged with its source and rationale. Before launch we test against real samples and probe for prompt injection and tool abuse.
Can AI agents work with our existing CRM, ERP and messaging tools?
Yes, our agents work inside the tools you already run rather than replacing them. Typical connections include Salesforce, HubSpot and Quotarider, accounting and ERP systems, email inboxes, the WhatsApp Business API and telephony numbers. Where a system has no API, we use scheduled exports or document parsing. Integration work is included in the fixed quote and is usually the largest part of a three to four week pilot.
How do you measure the results of an AI agent?
We agree a measurable outcome before the build starts, such as first-response time on leads, invoices recovered, documents processed per day or claims corrected before submission. XDQ AgentOS records every task, so the dashboard shows volume, approvals, hand-offs and outcomes against that baseline. After the pilot we review the numbers with you and decide whether to extend, adjust or stop the agent.
From USD 49 or INR 2,999 a month. A person approves every step.