Chatbots answer questions. Agents finish work. That difference — between a widget that deflects tickets and a system that actually resolves them — is where the ROI of AI lives in 2026. We build agents as production systems: with owners, metrics, uptime targets, and an audit trail. Not demos that impress in a meeting and die in the real world.
What we build
- Customer support agents that resolve, not deflect — order status, refunds, KYC queries, and clean escalations to humans
- Onboarding and KYC agents that verify documents, trigger checks, and update your core systems automatically
- Back-office agents for reconciliation, settlement checks, report generation, and data hygiene
- Sales and lead-qualification agents on WhatsApp and web, with structured handoff into your CRM
- Internal copilots that let your team query systems in plain language — English or Hindi
- Multi-agent workflows where specialized agents coordinate across a pipeline of work
How we build them
Every agent we ship has four parts. A model — Anthropic, OpenAI, or self-hosted open-source, chosen per task, not per hype. Tools — safe, permissioned API access into your systems, never blanket admin rights. Memory — retrieval over your documents and data, so answers come from your truth, not the internet's. Guardrails — validation layers, rate limits, audit logs, and human-in-the-loop approval on high-risk actions.
We measure every agent on two numbers: completion rate and cost per resolved task. If those numbers don't beat the human baseline, the agent doesn't ship.
Timeline
Pilot in 2–4 weeks on one narrow workflow. Prove the numbers. Then expand. We never propose a six-month agent "transformation" before a three-week pilot has paid for itself.
Laraware's own operations run on agentic workflows — the automation stack we sell is the one running inside our company every day.
FAQ
How is an AI agent different from a chatbot?
A chatbot talks; an agent acts. Agents call APIs, update records, move workflows through approval steps, and finish tasks end to end. The conversation is just the interface.
Will the agent hallucinate in front of our customers?
We constrain agents with retrieval over your approved content, strict tool permissions, output validation, and human review on high-risk actions. Where accuracy is critical, the agent escalates instead of guessing.
Can it run on our own servers?
Yes. For data-sensitive businesses we deploy self-hosted models and keep every byte inside your infrastructure. Either way, you own the code.
What does it cost?
Pilots are scoped to a fixed price after your free roadmap call. You'll know the sprint plan and the number before we write a line of production code.