AI Agent Development: Digital Team Members That Actually Get Work Done
We build AI agents that understand your business, use your tools and complete real tasks: answering customers, qualifying leads, processing documents, writing reports and supporting your engineers.
More than a chatbot
A chatbot answers questions. An AI agent takes action. It can look up an order, update your CRM, book a meeting, draft a quotation, read an invoice or check a drawing, and then report back. It works around the clock, in multiple languages, and hands off to a human when needed.
ENGIMANDI builds AI agents on leading models (OpenAI GPT, Anthropic Claude, Google Gemini and open-source Llama / Mistral) with retrieval-augmented generation (RAG) over your documents, tool calling into your systems and guardrails that keep the agent accurate, safe and on-brand.
What you get
- Use-case discovery & ROI mapping
- RAG over your documents & data
- Tool calling into your systems
- Web, WhatsApp, Slack & Teams channels
- Voice agents for phone calls
- Guardrails & human hand-off
- Evaluation, analytics & feedback loops
- Cloud or on-premise deployment
AI agents we build
Focused agents that deliver measurable value quickly.
Customer Support Agents
Resolve FAQs, track orders, raise tickets and escalate on your website, app and WhatsApp.
Sales & Lead Agents
Qualify leads, answer product questions, book demos and update your CRM automatically.
Document Processing Agents
Extract data from invoices, POs, contracts and forms and push it into your ERP.
Voice AI Agents
Natural-sounding phone agents for bookings, reminders, surveys and first-level support.
Engineering & CAD Agents
Search drawings, check standards, generate BOM summaries and trigger CAD automation.
Internal Knowledge Agents
HR, IT and policy assistants that answer employee questions from your internal docs.
AI tech stack
Model-agnostic, so you are never locked in.
Typical projects
- WhatsApp support agent for an e-commerce brand
- Quotation agent that reads RFQs and drafts replies
- Invoice-to-ERP agent for an accounts team
- Technical support agent trained on product manuals
- Voice receptionist for a clinic or service centre
- Engineering assistant that answers questions about drawings
How we build AI agents
Discover
Pick high-value tasks and define success metrics.
Prototype
Working agent on your data in 1 to 2 weeks.
Integrate
Connect tools, channels, auth and guardrails.
Evaluate
Test sets, accuracy scoring and red-teaming.
Launch & Improve
Monitor conversations and improve continuously.
AI agent questions
Will the AI agent make things up?
We reduce hallucinations with retrieval from your approved sources, strict instructions, citations, validation of tool results and automatic hand-off when the agent is unsure.
Is our data safe?
We use enterprise API terms where your data is not used for training, encrypt data, restrict access and can deploy open-source models on your own servers.
How long does it take to build an AI agent?
A focused pilot typically takes 2 to 4 weeks. Production rollout with integrations and evaluation takes 4 to 10 weeks.
What is the difference between an AI agent and agentic AI?
An AI agent handles a specific job. Agentic AI coordinates multiple agents that plan and complete multi-step workflows. See our comparison article.