If you are searching for an AI agent development company, the hard part is not finding one. Many agencies now list agents as a service. The hard part is telling a team that will build something reliable from one that will hand you a demo that breaks on real customers.
This checklist is for owners and managers in India and the US who are not AI engineers. If you are still deciding whether you need an agent at all, start with AI agents for business explained.
The short answer
Choose the company that makes your first project smaller and more measurable, not bigger. A good partner will ask what task you want done, what a good result looks like, and what the agent must never do. A weak one will talk about "autonomous" systems that replace whole teams.
Ten questions to ask before you sign
- What exactly will the agent do on day one? One task, such as triaging support emails or qualifying leads, beats a vague promise to "automate operations".
- How will we measure success? Ask for numbers you can check: answers correct on a test set, time saved per task, tickets resolved without a human.
- What can the agent change in our systems? Reading a CRM record is low risk. Sending money, deleting data or emailing customers is not. Ask for a list of permissions.
- Which actions need human approval? Refunds, price changes and customer-facing messages should have an approval step at first.
- How is it tested? You want a written set of example cases, including awkward ones, and results you can read.
- What is logged? You should be able to see what the agent did, why, and which tool it used.
- Where does our data go? Ask which AI provider is used, whether your data is kept or used for training, and where it is stored.
- Who owns the code, prompts and data? Get this in the contract. You should not need the vendor to keep using what you paid for.
- What does it cost to run each month? Model usage, hosting and monitoring are ongoing costs. Ask for an estimate at your expected volume.
- What happens when it gets something wrong? Look for a fallback to a human and a way to report and fix errors.
Why security questions are not optional
An agent is more exposed than a chatbot because it can take actions. The OWASP GenAI Security Project, which maintains the Top 10 for large language model applications, has published a 2026 release (4 August 2026). The earlier archived list names risks that matter directly for agents, including prompt injection (crafted inputs that manipulate the model), insecure plugin design, and excessive agency, which OWASP describes as granting a model unchecked autonomy to take action.
You do not need to read the whole list. You do need a vendor who can explain, in plain words, how they limit what the agent can do and how they handle untrusted text such as customer emails and web pages.
For wider risk thinking, the US National Institute of Standards and Technology (NIST) offers its AI Risk Management Framework for voluntary use, plus a Generative AI Profile (NIST-AI-600-1, released 26 July 2024). A vendor who has read these is more likely to build with controls in place.
If your agent handles personal data of people in India, also review the obligations in our DPDP rules checklist for websites.
Red flags
- No written scope. "We will figure it out as we go" is how budgets disappear.
- Promises of full autonomy or of replacing a whole department.
- No test results, only a polished demo on hand-picked examples.
- Admin-level access requested for tools the agent only needs to read.
- Unclear ownership of code, prompts, trained assets and logs.
- No plan for monitoring after launch.
- Full payment upfront for an open-ended build.
Agency, freelancer or in-house?
| Option | Good for | Watch out for |
|---|---|---|
| Specialist agency | A first agent that needs design, integration, security and testing together | Make sure the people you meet are the people who build |
| Freelancer | A narrow, well-defined task | Single point of failure; check security and handover habits |
| In-house developer | Several agents and long-term ownership | Hiring time and the need to learn quickly |
Many teams start with an agency for the first agent and bring maintenance in-house later. For wider guidance on comparing quotes and contracts, see how to choose a software development company and fixed price vs time and materials.
A sensible way to start
- Write one task, the tools it touches and what it must never do.
- Collect 30 to 50 real examples, including difficult ones, to use as a test set.
- Ask each vendor for a short written plan covering the ten questions above.
- Agree a paid pilot of a few weeks with a clear pass or fail measure.
- Start with read-only access and human approval, then widen permissions only as results prove out.
- Put ownership of code, prompts and data in the contract.
- Review logs weekly for the first month.
How we work
At Susraj Tech we build AI features and workflow automation for businesses in India and the US, and we start with one small, measurable use case. You can read about our AI and automation service or ask for a free quote.
