AI agents development — automate real workflows
★5.0 · Google reviews · reply < 30 min · free quote
We build AI agents that don't just answer: they execute real tasks in your systems with RAG, tools (function calling) and cost and security limits.
Want an AI agent that works for you?
At RoviDev we build it custom · With cost and security control · Usually reply in under 30 minutes
They take actions via APIs and function calling.
They answer from your docs, not made up.
CRM, ERP, web, WhatsApp and databases.
Cost caps, traceability and human handoff.
AI that executes, not just chats
Ideal for companies that want to automate processes with generative AI reliably: agents that query data, take actions in your systems and know when to hand off to a person.
Is this service a good fit?
Good fit if
You have repetitive processes or support that can be automated with AI connected to your data and systems, with cost control.
When we are not a fit
You want a generic chatbot demo with no connection to your data; a standard assistant is faster and cheaper there.
Typical deliverables
Agent with RAG, a set of tools/actions, prompts with escalation policy, a usage dashboard and cost limits.
Use case
A support team automates 40% of L1 tickets with an agent that queries the docs and opens a ticket when confidence is low.
Quick questions
Which models? OpenAI, Anthropic or open-source depending on cost, privacy and latency.
What about privacy? We can limit data, anonymise and deploy with access control.
First reply usually within 30 minutes with feasibility and what is missing.
How we work with you
Goals, context, priorities and time or budget constraints.
Feasibility, phases, schedule and how we collaborate, by email.
Implementation, testing and deployment with reviewable milestones.
Post-launch tweaks and improvements as agreed.
Outcomes we prioritise
Reliably automated processes, less manual work and AI cost under control. We measure by tasks resolved without intervention and time saved.
Frequently asked questions about AI agents
How is an agent different from a normal chatbot? An agent doesn't just answer: it uses tools to take actions (query data, create records, call APIs) and decides steps following goals and policies.
How do you avoid hallucinations? With RAG on your documentation, answer policies, validations and human handoff when confidence is low.
Can AI cost be controlled? Yes: token caps, caching, per-task model choice and usage monitoring to avoid surprises.
How we approach it
We treat aI agents development as serious engineering: clear scope, justified technical decisions and reviewable deliveries. We prioritise what brings business value and avoid the over-engineering that inflates cost and timeline with no benefit.
- Architecture suited to the problem, with no unnecessary complexity.
- Maintainable code, with tests on the critical parts and useful documentation.
- Well-designed integrations and APIs that grow without a rewrite.
- Reliable deployment and post-launch support as you need it.
We work in phases with reviewable milestones, so you always know what is delivered, when and why, and can adjust priorities without budget surprises.
More frequently asked questions
Do you work fixed-price or hourly? Fixed price when scope is stable; time and materials when there's discovery or frequent change. We make it clear in the proposal.
Is the code mine? Yes. We hand over the source code and documentation; we don't lock you into a black box only we can touch.
What happens after launch? We can agree corrective support, evolutionary improvements or a monthly hours pack depending on the pace of change and criticality.
Enterprise & city delivery
San Francisco AI Agents · New York AI Agents · Tel Aviv · Tokyo · All cities
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Recommended reading
To decide what to automate first, this guide on automating business processes helps. Read the guide →
Related case study
NexusDesk AI — an AI assistant with RAG that resolves L1 support and escalates to humans with context. Read case study →
AI agents · LLM automation · agent workflows · custom quote.
Who needs AI agents?
Teams that need AI to take actions (CRM, tickets, APIs)—not just chat. For Q&A on your docs, see our RAG chatbot.