The business case
Ticket triage, lead qualification, document review, report generation: 5-20 hours of staff time a week, done by hand.
Most AI work for SMBs stops at a demo. We build AI agents that connect to the tools you already run, pass tests before they touch customers, and ship with monitoring your team can read.
If the term is new to you, start with what an AI agent actually is and how it differs from a chatbot.
Proof
None of these is an AI agent. They show the engineering an agent runs on in production: role checks on every request, approval flows, audit trails and media pipelines on AWS.
20,000+
member records moved off paper
Dalmia Resorts International · Hospitality / Timeshare
Nothing a support executive types changes a member record until a verifier approves it, and the API checks each user's role on every request.
How every change to a Dalmia Resorts member record gets approved →1,100+
automated tests across web, API and mobile
Healthcare marketplace · India
PostgreSQL row-level security keeps each tenant's rows out of every other tenant's queries. The web app is live in beta.
How row-level security keeps each hospital's data apart →15 TB
footage archive on Montage India's NAS, moving to AWS
Montage India · Stock Media / Marketplace
Uploads run through SQS, Lambda and AWS MediaConvert, with an append-only audit table the application can add to but not change.
How Montage India's media pipeline runs on AWS →What we build
What's included
You sign off on tools, data access and actions.
Realistic test cases run before every deploy, and a failing test blocks the release.
Every call is logged with its inputs, outputs, latency and cost, readable without code.
Auth, rate limiting, error handling and rollback gates, deployed as a live service.
Every agent ships with dashboards your team can read without writing code.
How it works
Built for
Built for
Not a fit
A scoping call finds the agent worth building first. You get the scope and an estimate in writing, and you own the code. To size a build before the call, read our guide to custom AI agent cost.
Common questions
AI agent development is building software that uses AI to complete multi-step tasks on its own. The agent calls APIs, reads data, makes decisions and takes action, so nobody has to click through each step. Unlike a chatbot, an agent can triage a support ticket, look up the customer record, draft a reply and log the outcome in a single run.
Most production-ready agents take 4-8 weeks from scoping to deployment. Weeks 1-2 cover requirements and architecture, weeks 3-5 are build and testing, and weeks 6-8 are integration and production rollout. The timeline depends on how many external systems the agent has to connect to.
Three things drive the number: how many tools the agent needs to act on, whether outputs need a human review gate, and how much retrieval work your data demands. A single-agent build with a couple of integrations sits at one end; a multi-agent system with a full testing pipeline sits at the other. Every build starts with a written scope, defined acceptance criteria and an estimate of effort, so you can budget before you commit. Billing follows the work against that scope, and any change goes through a written change order first.
A chatbot responds to messages. An AI agent acts on them. Agents connect to the tools you already run (CRM, databases, email, APIs) and can complete a workflow end to end without a person stepping in at each step. A chatbot can't update a record or send a notification on its own.
We pick the model per job. GPT-4o is strong at structured data extraction and tool use. Claude handles long documents and nuanced reasoning well. Open-weight models like Llama suit latency-sensitive or on-premise deployments. We choose the model during architecture, and we don't start from a default.
Every agent we ship includes call logging, latency and cost tracking, and a test suite that runs on each deployment. Your team gets dashboards it can read without touching code, so you can see what the agent did and catch issues early.
Ready to start?
Most clients run their first agent in production within 8 weeks.
