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Autonomous agents · Multi-step reasoning · Tool use · Voice

AI Agent Development for the operations that actually run your business.

We build task-completing AI agents — not chatbots. Agents that qualify leads on WhatsApp, book meetings in your calendar, raise tickets in your CRM, and run multi-step operations across your existing tools with a supervised, auditable loop.

Tool-use
Native
Multi-step
Reasoning
Guardrailed
By default
Auditable
Every action logged
AI Agent Development
Service · CloudLab Technologies
AI Agent Development
What we build

Agents that finish tasks, not just talk.

SDR & Sales Agents

Inbound + outbound agents that qualify, book meetings, hand-off to humans and log everything in your CRM.

Support Agents

L1 support agents that answer, deflect, escalate and update tickets — trained on your product docs and history.

Admissions Agents

Voice / chat agents for education — enquiries, application status, document collection, interview prep.

Internal Ops Agents

Employee-facing agents that pull data across tools, generate reports and complete internal workflows.

Multi-tool Orchestration

Agents that reason across CRM, calendar, WhatsApp, email, database and payments in a single supervised loop.

Guardrails & Auditing

Every action logged, every dangerous tool gated, every LLM output evaluated. No unsupervised autonomy.

Real systems, measurable impact

The proof this actually works.

Every number below is drawn from a real CloudLab implementation of UniCRM.ai. Numbers are contextual to that project — not generic guarantees.

See the UniCRM.ai case study
Product capabilities
3AI agents per workspace
24/7WhatsApp automation availability
Stack
GPT / Claude / GeminiLangGraphLangChainOpenAI AssistantsRetell VoiceTwilioWhatsApp Businessn8n / ZapierVector DBsPostgresRedisAWS Bedrock
How we work

From use case to a shipped, monitored agent.

01
Use-case audit

Which task is worth automating? What data, tools and guardrails does the agent need?

02
Design

Tool schemas, escalation rules, evaluation criteria and human-in-the-loop review points — before we write a prompt.

03
Build & Evaluate

Iterative build with automated evaluation on real business scenarios, not toy prompts.

04
Deploy & Monitor

Production deploy with logging, cost controls and continuous evaluation as data changes.

Outcomes

What you actually get.

Every AI Agent Development engagement ends with hard business outcomes — not slideware. Here's what a typical client walks away with.

  • Agents that complete tasks — not just chat
  • Full audit trail of every agent action
  • Human-in-the-loop review where risk warrants it
  • Cost-controlled, guardrailed by default
FAQ

Frequently asked questions

A chatbot answers questions. An AI agent completes tasks — it calls tools, updates your CRM, books meetings in your calendar, sends WhatsApp messages, raises tickets. Agents have state, tools and guardrails; chatbots have prompts.
Case studies

Exploring groundbreaking AI projects transforming industries and driving innovation.

* Every engagement is tailored to your data, compliance and integration requirements.

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International delivery

AI Agent Development across our international markets.

CloudLab delivers ai agent development to businesses in these markets — pick the one closest to yours to see local delivery detail, invoicing and case work.

Ready to start?

Let's build your next ai agent development project.

Share a rough spec or just a rough idea — we'll come back within one business day with a realistic scope, timeline and price.

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