AI agents that do real work inside your business
An AI agent is more than a chatbot. It reads a request, looks up what it needs in your systems, takes an action and hands the case to a person when it isn't sure. We build agents like that for real business workflows in support, operations, sales and the back office.
We connect language models to the CRM, databases, documents and internal APIs you already run, start with one workflow where the payoff is clear, and measure accuracy and cost before rolling it out further.
What we build
AI agent development services
Support triage
Read incoming tickets and emails, sort them, pull up the customer's history and draft a reply or route it to the right person.
Document & back-office automation
Extract data from invoices, forms and documents, check it against your records and update the system it belongs in.
Internal knowledge assistants
Answer staff questions from your own docs, wikis and policies, with links to the source so every answer can be checked.
Lead qualification
Enrich and score new leads, ask follow-up questions and pass the promising ones to your sales team with the context attached.
Reports & summaries
Draft weekly reports, meeting summaries and status updates from the data your team already produces.
AI in your existing product
Add AI features to an app you already run, Rails backends and older systems included, so answers come from your own data.
Is it a fit?
A good fit if…
- Your team spends hours on repetitive, text-heavy work: reading, sorting, copying and summarising
- The information needed to do that work already lives in your systems
- You want a measured pilot on one workflow before a wider rollout
- You need control over where your data goes and who can see it
Process
How a project works
No surprises. You always know what's being built, when, and for how much.
01
Discovery call
Thirty minutes on your goals, constraints and timeline — and an honest answer on whether we're the right fit.
02
Scope & proposal
A written proposal with milestones, timeline and a clear quote. We agree on the cost together before any work starts.
03
Build in the open
Weekly demos, a shared board and a staging link from week one. Feedback goes straight to the engineers writing the code.
04
Launch & support
We deploy, monitor and hand over documentation — or stay on to keep improving the product with you.
FAQ
Questions, answered
What's the difference between an AI agent and a chatbot?
A chatbot answers questions. An agent takes actions: it can look up a record, update it, open a ticket or send a draft for approval, using only the tools you give it. We design each agent with clear limits on what it may do on its own and when it must hand off to a person.
What happens to our data?
We design integrations so your data stays in your own infrastructure wherever possible, choose providers and settings that keep it out of model training, and add access controls and audit logs.
How do you know the agent is accurate enough?
Before launch we build a test set from real examples of the work and measure how often the agent gets it right and what each task costs. It goes live when those numbers make sense for you, and we keep tracking them afterwards.
Can you add AI to our existing product?
Yes, that's most of our AI work. We connect models to the apps, databases and APIs you already run, start with one high-value workflow and measure accuracy and cost before expanding.
More services
Other ways we can help
Contact
Let's build something
Tell us about your project, or grab a time for a free 30-minute call. We reply to every message within one business day.
- hello@neokalpa.com
- Based in Nepal · Working with clients worldwide