0%
AI AGENT DEVELOPMENT

Agents that actually finish the job.

A real AI agent isn't a chat box — it's an autonomous worker that picks tools, calls APIs, queries data, and loops until the task is done. Dezvo builds production agents on Claude, GPT, and Gemini for SaaS, internal ops, and B2B workflows including ceramic exporters who need automated buyer inquiry routing and catalog Q&A.

See Our Work
What we build
  • Tool-using agents (Claude / GPT)
  • RAG over your data
  • Multi-step workflows
  • Human-in-loop approvals
  • Eval pipelines + observability
USE CASES

Where agents earn their keep.

We don't build agents because they're trendy — we build them where a multi-step decision genuinely needs to happen without a human.

Customer support

Look up order status, refund eligibility, account details — answer or escalate. Resolves tier-1 tickets without a human, with citations to your docs.

Inbound triage

Read incoming email, WhatsApp, IndiaMART inquiries. Classify, extract key fields, write to CRM, route to right salesperson. Built for export sales pipelines.

Research & deep search

Agents that browse, scrape, summarize, and cite. Competitive intel, lead research, RFQ matching, regulatory monitoring.

Catalog & data Q&A

"Show me 600x600 GVT tiles available in Saudi Arabia under $8 FOB" — the agent queries your ERP, filters, and answers. RAG over product catalogs.

WHY DEZVO

Agents that pass an eval suite, not just a demo.

Anyone can wire up an LLM and call it an agent. Production-grade is a different sport — eval suites, observability, fallback logic, cost controls, and a clear human-in-loop policy.

Eval-driven

Frozen set of real tasks scored on every deploy. Accuracy, latency, cost — measured, not guessed.

Observable

LangSmith, Langfuse, or custom tracing. Every step of every agent run is logged and queryable.

Human-in-loop

Risk-rated actions go to a person for approval. Refunds, deletions, anything irreversible — never silent.

Cost-controlled

Token budgets, step caps, semantic cache, model routing. Predictable spend, not surprises.

FAQ

Agent questions, answered.

Edge cases and architecture questions are common — message us and we'll dig in.

A chatbot replies to messages. An agent decides what to do next — pick a tool, call an API, search a database, escalate to a human, and loop until the task is done. Agents are autonomous over multi-step workflows; chatbots are stateless responders.

Anthropic Claude (Opus, Sonnet, Haiku) for reasoning-heavy agents, OpenAI GPT for cost-sensitive flows, Google Gemini for multimodal, and open-source via Together / vLLM where data residency matters. Routed through Vercel AI Gateway or LiteLLM so swapping models is one config line.

Three layers — retrieval (RAG over your actual data so the model isn't guessing), tool use (the model calls your APIs to verify facts), and evaluation suites (we test the agent against a frozen set of real tasks before every deploy). Accuracy comes from grounding, not from prompt tricks.

Hard token budgets per session, semantic caching for repeated queries, model routing (cheap model first, escalate when confidence is low), and step-count limits so an agent can't infinitely re-plan. We bound the worst case, not just the average.

Yes — write to your database, send emails, create records in your CRM, push to GitHub, place orders. Anything that has an API. We add human-in-loop approval gates for actions above a risk threshold (refunds, deletions, anything irreversible).

When the task genuinely needs it — yes. Most problems people throw at multi-agent setups can be solved with one well-designed agent and good tool use. We start simple and only add a second agent when there's a clear specialisation gain.
RELATED SERVICES

Bundle what your agent really needs.

AI Integration

LLMs embedded into your existing product, end to end.

Explore
RAG Development

Retrieval pipelines that ground your agent in your data.

Explore
AI Chatbot Development

When you need a conversation, not a full agent.

Explore
Currently accepting AI agent projects

Ready for an agent that earns its keep?

Send us the workflow you want automated. We'll come back with a scoped agent, an eval plan, and a quote in 24 hours.