We are an AI agent development company offering custom AI agent development services. We build agents that execute the workflow end to end, doing the work inside your systems rather than answering questions about it.
( WHAT IT IS )
A chatbot returns text when someone asks. AI chatbot development gets you a helpful surface, and that surface still leaves the actual task for a person to finish. An agent reads the request, decides the steps, and acts inside the systems where the work lives.
Custom AI development means an agent shaped around your data, your tools, your permissions, and the way your team already works. It opens the ticket and moves the case forward, then reports what it did. You own the workflow it runs.

An agent that finishes a defined job, from intake to system of record. These are the ai agents examples leaders ask for first, because the outcome is easy to measure
An agent that reads your policies, contracts, tickets, and knowledge base, then answers with citations back to the source document. Useful across many agentic AI use cases where the answer already exists but is hard to find.
An agent that chains several actions across systems and checks its own progress at each step. Built with an ai agent builder approach so each capability is testable on its own.
We scope the smallest workflow worth automating, then build outward from there once it holds.
We pick one repetitive, high-volume workflow and map every step a person takes today.
We list the systems the agent will touch and the exact actions it is allowed to take.
We assemble the agent on proven agentic AI frameworks, wiring it to your tools and data.
We run the agent on historical and live cases, then measure where it succeeds and where it hands off.
We release the agent behind guardrails, with clear points where it routes a decision to a person.
We scope one workflow first, then expand only after it holds in production. Engagements run on a fixed scope per phase, with fees tied to the size and risk of the workflow rather than headcount or hours.
We work with your team to choose the workflow, confirm the systems involved, and agree on what a successful run looks like. You leave with a build plan you could hand to any competent engineering team.
We build the agent, connect it to your tools, and test it against real cases until its behavior is predictable. You review the results before anything touches production.
We ship the agent behind guardrails and stand up the monitoring that tracks every run. This is where a custom AI development company earns its keep, by keeping the agent reliable after launch.
Your team repeats the same task across a CRM, a ticketing tool, a spreadsheet, and email every day. An agent holds that context and moves the task through each system. These are common agentic AI use cases where the value is obvious within weeks.
People keep asking the same questions, and the answers sit in documents no one wants to search. A retrieval agent reads those documents and responds with the source attached. Your experts stop being a lookup service.
A process waits on someone to copy data from one place to another before the next step can start. An agent removes that handoff and keeps the queue moving. When judgment is needed, it escalates instead of guessing.
The questions engineering leaders raise before they commit to an agent build. If yours is not here, a scoping call is the fastest way to get a direct answer.
AI agent development is the practice of building software that decides and acts on a goal, rather than returning text for a person to act on.
It sits alongside our broader artificial intelligence development services, and differs in that the agent completes the workflow itself. You
can hire an AI developer to build one agent or a connected set of them.
Yes. We connect agents to the systems you already run, using your APIs and access controls. Our AI software development services cover that integration work, so the agent reads and writes where your data already lives.
Yes. A retrieval agent indexes your documents and answers with a link back to the source. It respects the same permissions your people have, so no one sees data they are not cleared to see
We evaluate every agent against real historical cases before launch, then monitor each run in production and alert on drift. When you hire
an AI developer through us, that evaluation harness is part of the delivery. Reliability is measured continuously, not assumed at launch.
Yes. You define the conditions where the agent must stop and route a decision to a named owner. Low-confidence steps and high-value actions can each trigger an escalation you set.
Scope your first agent
Bring one workflow. We will tell you honestly whether an agent is the right tool for it.
Our Presence
380 McLean Ave, Yonkers, NY 10705, USA
(914) 574-7419
info@scaylar.com
Offshore
15-A Khayaban-e-Jinnah, OPF, Lahore.
+92 320-143-6163
USA
380 McLean Ave,
Yonkers, NY 10705,
USA
+1 914-574-7419
©2026 Scaylar Technologies. All rights reserved.
©2026 Scaylar Technologies. All rights reserved.