AI Agents
AI agents that take action — within limits you control.
Agents that read requests, look up context across your systems, and complete multi-step tasks: updating records, drafting responses, triggering workflows and escalating to people when they should.
Sound familiar?
“Your team handles a steady stream of requests that follow a pattern — but each one needs context from three different systems before anyone can act.”
A good fit if you have
- A high-volume, repetitive process that requires looking things up before acting
- Clear rules for what the agent may and may not do
- Systems with APIs (or a willingness to add them)
What we build
AI Agents, built for production.
- 01
Support & operations agents
Resolve routine requests end to end and hand off edge cases with full context.
- 02
Tool-using agents
Agents that call your APIs, query databases and update CRMs through scoped permissions.
- 03
Multi-step workflows
Planning agents that break a task into steps, execute them and report what they did.
- 04
Human-in-the-loop review
Approval queues for actions that should never happen without a person signing off.
How we approach it
Four steps. No surprises.
- 1
Map the task
Define the inputs, systems, decisions and failure cases of the work the agent will take on.
- 2
Prototype on real data
Build a working agent against a sample of real requests within the first weeks.
- 3
Evaluate
Score the agent against an evaluation set; tighten prompts, tools and guardrails until it holds.
- 4
Integrate & monitor
Ship behind permissions, with tracing, cost tracking and an escalation path.
Stack
The AI Agents stack
- OpenAI
- Claude
- Tool / function calling
- n8n
- Node.js
- Python
- PostgreSQL
Questions
What people usually ask
How do you stop an agent from doing something it shouldn't?
Agents only get the tools and permissions the task needs. Risky actions route to an approval queue, and every action is logged so it can be reviewed.
Which models do you use?
We are model-agnostic. We usually evaluate OpenAI and Claude models on your task and choose on quality, latency and cost.
MIISCO / Start
Have something ambitious in mind? Let's figure out how to build it.
- 01We read your briefAn engineer — not a salesperson — replies within one business day.
- 02A focused callWe ask the questions that shape scope, risk and cost.
- 03A written planScope, approach, team and estimate you can compare and challenge.
Prefer email? vishal@miiscollp.com
Or call +91 7000285287