Sales · Support · Operations
Agents that read the email, check the CRM, draft the reply, book the meeting and log it, with a person approving anything that matters. Built around your tools and rules.
In Short
An AI agent is software that takes a goal, decides the steps and uses your tools to finish the job: reading messages, looking up records, updating systems and replying. Unlike a chatbot that only answers, an agent acts. LitSpark's AI agent development services cover designing the agent's job, connecting it safely to your systems, setting approval rules and measuring how much work it takes off your team.
Updated · LitSpark Solutions, Bengaluru
Agents We Build
Researches inbound leads, scores them, drafts personalised replies and books meetings on your calendar.
Answers tickets from your knowledge base, takes actions like refunds or rescheduling within limits, and escalates the rest.
Processes orders, invoices and requests across systems, flagging exceptions for a person.
Screens applications against your criteria and schedules interviews.
Gathers and summarises market, competitor or account information on a schedule.
Answers staff questions from policies and documents, inside Slack or Teams.
How It Works
One task with clear volume and rules.
What a person does today, decision by decision.
Agent wired to your tools with limits.
Run on past cases and score the results.
Human approval first, then more autonomy.
Where Agents Pay Off
Faster replies to every inbound lead.
Fewer tickets reaching people.
Invoices and orders processed overnight.
Screening and scheduling on autopilot.
Why LitSpark
Agents act within limits you set, with approval steps and full logs.
Scored on real past work before going live.
Proper integrations, error handling and monitoring.
Hours saved and response times tracked every month.
Pricing
Build cost plus monthly running costs (model usage billed to your account). Projects start at ₹50,000, with a fixed quote after a short call.
Starting at ₹50,000
3–6 weeks
One task, one or two tools, approvals.
₹1.5–2.5 lakh
6–8 weeks
Multiple tools, monitoring, evals.
As per requirement
Monthly
Monitoring, tuning and new skills.
We estimate monthly model costs during the pilot.
Tech Stack
From the Blog
AI Automation6 min read
Explore how software teams are moving from AI code assistants to coding agents in 2026, and what engineering leaders should change in workflow, review, cost, and governance.
Read ArticleA chatbot answers questions. An AI agent takes actions, like updating a CRM, booking a meeting or processing an order, using tools and permissions you set.
Projects start at ₹50,000. Most fall between ₹1.5 and 2.5 lakh, and larger builds start at ₹3.5 lakh. You get a fixed quote after a short call.
With the right setup, yes. We limit what the agent can do, require human approval for sensitive actions, and log every step so you can review it.
Look for teams that test on your real cases, build proper integrations and logging, and measure results. Ask to see an agent's audit log from a past project.
It takes over repetitive steps so your team can focus on judgement calls, conversations and exceptions. Most clients use agents to handle growth without hiring for every new task.
Let's talk
Tell us which repetitive task eats your team's time. We'll scope a pilot agent and its cost.