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AI & Data

AI Agent Development

Agents that do real work against your systems — retrieval grounded in your knowledge, tools they can actually call, and the guardrails and evals to ship them safely.

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DAWKI / AI AGENT
  1. PlanBreaks the goal into steps
  2. ReasonChecks each step against your data
  3. Use toolsCalls your systems through their APIs
  4. ActFinishes the task and logs every action

Built for your business

AI Agents That Actually Get Work Done

From customer support copilots to autonomous research agents — we build LLM-powered systems that ship to production safely.

  • RAG Pipelines

    Retrieval-augmented generation with vector databases, hybrid search and reranking.

    • Chunking and embedding plan
    • Hybrid search with reranking
    • Citation-backed answers
    Learn more

  • Tool Use & Function Calling

    Agents that call APIs, search, run code and act on enterprise systems.

    • Typed tool schemas
    • Approval gates on writes
    • Retry and fallback logic
    Learn more

  • Multi-Agent Orchestration

    LangGraph, CrewAI and Agent SDK orchestration for complex workflows.

    • Agent roles and handoffs
    • Shared state and memory
    • Orchestration graph
    Learn moreShared state, explicit handoffs, one owner per step

  • Model-Agnostic

    GPT, Claude, Gemini, Llama and Mistral — chosen per task, swapped without rewrites.

    • Model routing rules
    • Provider abstraction layer
    • Cost and latency budget
    Learn moreOne interface in front of every provider

  • Safety & Guardrails

    Jailbreak resistance, PII redaction, output validation and policy enforcement.

    • PII redaction layer
    • Prompt-injection defences
    • Policy checks on output
    Learn more

  • Observability & Evals

    Tracing, eval suites and red-teaming so you ship with confidence.

    • A trace for every run
    • Eval suite in CI
    • Red-team report
    Learn more

What we deliver

AI Agent Development Services We Offer

Start with the capabilities you need today. We define the scope, integrations, and acceptance criteria together before delivery begins.

  • Custom AI Agent Development

    Bespoke agents built around your workflows, knowledge, and business systems.

    Enquire about this

  • RAG Implementation

    Vector DBs (Pinecone, Weaviate, pgvector), hybrid search, and reranking pipelines.

    Enquire about this

  • Conversational AI & Chatbots

    Multi-turn chat agents for support, sales, and internal productivity.

    Enquire about this

  • AI Copilots & Assistants

    In-app copilots that draft, summarize, and act inside your product or workflow.

    Enquire about this

  • Voice AI & IVR Agents

    Realtime voice agents with Twilio, Deepgram, ElevenLabs, and OpenAI Realtime.

    Enquire about this

  • LLM Fine-Tuning

    Domain adaptation via SFT, DPO, and LoRA on open-source and proprietary models.

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  • Prompt Engineering

    Production-grade prompt design, few-shot, and chain-of-thought techniques.

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  • AI Workflow Automation

    Automate document processing, research, and back-office workflows end to end.

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  • AI Safety & Guardrails

    PII redaction, jailbreak prevention, output validation, and policy enforcement.

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  • Eval & Observability

    LangSmith, LangFuse, and custom eval suites for quality and regression testing.

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  • AI Agent Maintenance

    Model upgrades, prompt iteration, eval monitoring, and incident response.

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From brief to delivery

A clear path from the first conversation.

A practical process with agreed milestones, regular reviews, and a handover your team can use.

  1. Step 01

    Use-Case Design

    Define the agent's job, success criteria, tools, and escalation paths.

  2. Step 02

    Prototype

    Working PoC in 2–3 weeks with realistic data and evals.

  3. Step 03

    Production Build

    Hardened pipelines, guardrails, observability, and integrations.

  4. Step 04

    Operate & Improve

    Continuous evals, prompt iteration, and safety monitoring.

Tools of the trade

The right technology for the work.

We choose tools around your existing systems, requirements, and long-term maintenance needs. The final stack follows the project.

  • OpenAI
  • Anthropic Claude
  • Google Gemini
  • Meta Llama 3
  • LangChain
  • LangGraph
  • CrewAI
  • AutoGen
  • LlamaIndex
  • Pinecone
  • Weaviate
  • pgvector
  • LangSmith
  • LangFuse
  • Anthropic Agent SDK
  • Vercel AI SDK

Your next step

Request a free consultation

A few details help us understand your goals and come prepared. Fields marked * are required.

How we use your details. We collect only what you enter here — your name, mobile number and email, and your company, budget and message if you add them — to reply to this enquiry, prepare a proposal and follow up about it by phone, email or WhatsApp. We don’t sell your data or use it for anything else. You can withdraw consent, or ask to see, correct or erase your data, at any time by emailing info@dawkiinfotech.com; if we don’t resolve a concern, you can complain to the Data Protection Board of India. Full details in our Privacy Policy.

Before we begin

Your questions, answered.

What to know about ai agent development, from project scope to ongoing support.

01What are AI agents?

AI agents are LLM-powered systems that can reason, plan, use tools, and take actions to complete multi-step tasks autonomously or with human oversight.

02Which LLMs do you work with?

GPT (OpenAI), Claude (Anthropic), Gemini (Google), Llama, Mistral, Cohere, and self-hosted open-source models — chosen per task.

03Will my data be used to train models?

No. We use enterprise-grade APIs with no-train policies (OpenAI, Anthropic, Azure OpenAI) or self-host open-source models entirely on your infrastructure.

04How accurate are AI agents?

It depends on the task. With proper RAG, tool use, evals, and human-in-the-loop design, production agents can hit 90%+ task success on well-scoped problems.

05How long does an AI agent project take?

A working PoC usually ships in 2–4 weeks. Production-grade agents with guardrails and integrations typically ship in 8–16 weeks.

06How do you prevent hallucinations?

RAG over verified sources, output validation, citations, confidence scoring, and structured outputs — combined with rigorous eval suites.

07Do you support voice and multimodal agents?

Yes. We build voice agents with OpenAI Realtime, Deepgram, ElevenLabs, and multimodal agents that handle text, image, and audio.

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A conversation is a good start

Let's talk about ai agent development.

Tell us what you want to build or improve. We will help clarify the scope, the approach, and the next step.

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