🤖 AI Agents for Businesses

Deploy AI Agents That Actually Get Work Done

We design and build AI agents that talk to customers, qualify leads, answer employee questions, and take real action across your tools — not just chat, but resolve, escalate, and follow through, 24/7.

Our Work
4.9/5

Trusted by 10+ startups & enterprises worldwide

<1 min

Average Response Time

0%

Queries Resolved, No Human

0-4 Wks

To First Agent Live

0/7

Always On

Built with modern technology

Next.js
React
TypeScript
Node.js
MongoDB
PostgreSQL
Tailwind CSS
AWS
Google Cloud
Docker
Kubernetes
GraphQL
OpenAI
Figma
Vercel
Quick Answer

What is an AI agent for business?

The short, no-jargon definition — everything else on this page is how we put it to work for you.

An AI agent is software powered by a large language model that can understand a request, decide what to do, and take action across your tools — looking up records, updating a CRM, booking a meeting, or answering a question. Unlike a simple chatbot that only replies with scripted text, an agent reasons, uses tools, and follows a task through to completion — escalating to a human only when a case truly needs one.

Takes action, not just chat

It can look things up, update records, and complete tasks — a chatbot can only reply with text.

Connects to your tools

It reads and writes to your CRM, helpdesk, or database in real time.

Handles multi-step tasks

It follows a process end-to-end instead of answering one question at a time.

Escalates only when needed

Complex or sensitive cases get handed to a human — automatically.

The Problem

Your team is quietly buried in repeat questions

If any of this sounds familiar, you're not alone — and it's exactly what AI agents are built to fix.

Slow response times losing customers

Customers wait hours for a reply on email or chat and move to a competitor before you even see the message.

Support team drowning in repetitive tickets

The same handful of questions eat up most of your team's day, leaving no time for the tickets that actually need a human.

Rule-based chatbots that frustrate customers

Rigid decision-tree bots can't understand a real question, so customers just type "agent" and give up.

Manual research eating up sales time

Reps spend hours digging through CRM notes and past emails instead of actually talking to prospects.

Answers locked in docs nobody reads

Your policies and FAQs live in a wiki no one opens, so employees keep interrupting each other for the same answers.

Can't scale support without hiring

Every spike in volume means paying for more seats or more headcount — costs that never come back down.

The Solution

What we build

From a single support agent to a full team of connected agents — we build AI that fits how your business actually runs.

Most Requested

Customer Support Agents

Resolve tickets end-to-end across chat, email, and WhatsApp — answering FAQs, pulling order status, and escalating only what truly needs a human.

Live chat & WhatsApp
Ticket resolution & triage
Order & account lookups
Sentiment-based escalation
Multi-language support
Full conversation logs

Sales & Lead Qualification Agents

Engage inbound leads instantly, qualify them against your criteria, and book meetings straight onto your team's calendar.

Instant lead engagementQualification scoringCalendar booking

Internal Knowledge Agents

Answer employee questions from your docs, wikis, and policies — no more pinging a teammate for the same answer twice.

Company wiki searchPolicy Q&ASlack/Teams integration

Data & Research Agents

Pull data from multiple systems, summarize it, and generate reports — on demand or on a schedule.

Cross-system lookupsAuto-summariesScheduled reports

Voice & Phone Agents

AI agents that answer and make phone calls — booking appointments, confirming orders, and handling routine calls naturally.

Inbound call handlingOutbound remindersNatural voice conversation

Workflow-Executing Agents

Agents that don't just answer — they act: updating your CRM, creating orders, and sending invoices on your behalf.

CRM & ERP actionsOrder & invoice creationGuardrails on every action

Not sure which agent to build first?

Problems → Solutions

What changes when an agent takes over

The same conversations, before and after — side by side.

Without AI Agents

  • Customers wait hours or days for a reply, even for simple questions
  • Support reps answer the same three questions all day long
  • Leads go cold before a rep ever follows up
  • Employees interrupt each other for answers already written down somewhere
  • Every volume spike means hiring or burning out the current team

With TekLume AI Agents

  • Instant, accurate answers any time of day, in any channel
  • Agents resolve the repetitive queries — your team handles the exceptions
  • Every lead gets an immediate, personalized follow-up
  • Employees ask the agent and get a sourced answer in seconds
  • Volume grows without adding headcount — the agent just handles more conversations
Where It Fits

Built for every team

AI agents aren't just for customer support — they remove busywork from every team that fields repeat questions.

Customer Support

24/7 ticket resolution, live chat, and WhatsApp support.

Ticket resolution

Sales & Marketing

Instant lead engagement, qualification, and meeting booking.

Lead qualification

HR

Employee Q&A, onboarding assistance, and policy lookups.

Employee Q&A

Operations

Order status, inventory checks, and vendor updates on demand.

Order lookups

IT Helpdesk

Password resets, ticket triage, and access requests.

Ticket triage

Finance

Invoice status, expense queries, and payment reminders.

Invoice status

Don't see your use case?

If people keep asking your team the same questions or filling out the same forms, there's probably an agent for it.

How We Work

From audit to deployed agent

A proven 6-step rollout that de-risks AI — you see it working on real conversations before it ever talks to a customer.

Step 01

Discovery & Knowledge Audit

We map your FAQs, workflows, and data sources to see exactly what the agent needs to know and do.

Conversation & ticket reviewKnowledge source mappingUse-case prioritizationSuccess metrics defined
Step 02

Agent Design & Guardrails

We define the agent's scope, tone, and escalation rules — exactly what it can decide versus when it hands off to a human.

Scope & persona designEscalation rulesGuardrails & approvalsTool access mapping
Step 03

Build & Connect

We build the agent and connect it to your CRM, helpdesk, or database so it can actually take action, not just talk.

LLM & prompt engineeringAPI & tool integrationKnowledge base ingestionGuardrail implementation
Step 04

Train & Test

We test the agent against real conversations and edge cases before it ever talks to a customer.

Real conversation testingEdge case handlingAccuracy evaluationStakeholder sign-off
Step 05

Deploy & Monitor

We launch with human-in-the-loop monitoring, watching every conversation until confidence is earned.

Phased rolloutLive monitoringHuman-in-the-loop reviewFallback handling
Step 06

Improve & Expand

We refine the agent from real usage data and expand it to new channels and use cases over time.

Performance analyticsContinuous prompt tuningNew channel rolloutExpanded capabilities
Our Toolkit

The right model for every agent

Frontier LLMs for reasoning, retrieval for grounding in your data, and the integrations that let an agent actually act.

OpenAI GPTCore LLM reasoning
ClaudeCore LLM reasoning
LangChainAgent orchestration
LangGraphMulti-step workflows
Pinecone / WeaviateVector search (RAG)
RAG PipelinesKnowledge grounding
n8nTool & API orchestration
TwilioVoice & SMS
WhatsApp Business APIMessaging channel
Zendesk / IntercomHelpdesk integration
Node.js / PythonCustom backends
PostgreSQL / MongoDBAgent memory

Already committed to a specific LLM or helpdesk?

We build around what you already use — your model provider, your helpdesk, your CRM — not the other way around.

Any LLM providerAny helpdesk or CRM
Testimonials

Voices of trust

Trusted by startups and enterprises alike, our clients share how we turned ideas into scalable solutions. Their words reflect the precision, performance, and partnership we bring to every project.

"Before this ERP, everything was manual and confusing. Now all work runs smoothly on software, and I don’t have to do anything by hand anymore."
MP
Mahaveer Prasaad
Founder & CEO
Bajiya Industrial Corporation
"The website they made is perfect to show our accounting services. We’ve started getting more inquiries and it’s helping us grow our client base."
AK
Atul Kumar Rawat
Director
Accountax Solution
"We got a beautiful website made to show all our services and products. Now we’re getting good inquiries and it’s really helping in getting new leads."
HS
Harlal Singh
Director
Bajiya Industrial Corporation
"Before this ERP, everything was manual and confusing. Now all work runs smoothly on software, and I don’t have to do anything by hand anymore."
MP
Mahaveer Prasaad
Founder & CEO
Bajiya Industrial Corporation
"The website they made is perfect to show our accounting services. We’ve started getting more inquiries and it’s helping us grow our client base."
AK
Atul Kumar Rawat
Director
Accountax Solution
"We got a beautiful website made to show all our services and products. Now we’re getting good inquiries and it’s really helping in getting new leads."
HS
Harlal Singh
Director
Bajiya Industrial Corporation
FAQ

Frequently Asked Questions

Straight answers to the questions we hear most about AI agents — accuracy, data safety, cost, and how they fit your existing tools.

An AI agent is software powered by a large language model that can understand a request, decide what to do, and take action across your tools — looking up records, updating a CRM, booking a meeting, or answering a question — not just replying with text like a simple chatbot.

A traditional chatbot follows a fixed decision tree and can only reply within scripted paths. An AI agent understands natural language, reasons about what the person actually needs, and can take real actions across connected systems — then hands off to a human when a case is too sensitive or complex.

We ground every agent in your actual data — documents, policies, and systems — using retrieval-augmented generation, so it answers from your real information instead of guessing. We also test extensively before launch and build in confidence thresholds so uncertain answers get escalated instead of guessed at.

Yes. We connect agents to your CRM, helpdesk, database, or calendar via APIs, so they can update a record, create a ticket, book a meeting, or send an invoice — with guardrails defining exactly what it's allowed to do on its own.

No. The agent absorbs the repetitive, high-volume questions so your team can focus on the conversations that actually need a human — relationship-building, complex negotiations, and sensitive cases. Most clients redeploy their team's time rather than cut headcount.

Only what's relevant to its job — your FAQs, product catalog, CRM records, or ticket history, for example. We scope access deliberately during the design phase and never give an agent more access than its use case requires.

Yes, it's safe. We use enterprise API access rather than consumer chat tools, so your data is never used to train the underlying models. We also apply role-based access, encryption, and audit logs, and sign NDAs before any discovery work begins.

A focused agent for one use case (like support ticket triage) typically launches in 2-4 weeks. More complex, multi-system agents are rolled out in phases so you see value early instead of waiting months for one big launch.

Cost depends on how many systems it connects to, how much custom logic it needs, and expected conversation volume. We scope every engagement after a free discovery call and give you transparent, upfront pricing — most clients start with one high-impact use case before expanding.

Yes. We build agents for whatever channel your customers or employees already use — website chat widgets, WhatsApp, Slack, Microsoft Teams, email, or even phone calls via voice AI.

It says so and escalates — to a human, a ticket, or a fallback flow — instead of guessing. Every agent we build has explicit confidence thresholds and handoff rules so uncertainty never becomes a bad customer experience.

No. We monitor and tune the agent post-launch as part of our support plans, and train your team to review conversations and update its knowledge base. If you do have an internal team, we hand over full documentation and access.

Let's Work Together

Ready to build the future?

Transform your ideas into powerful software solutions. Book a free call or message us on WhatsApp — let's discuss your project and create something extraordinary.

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