← AI Implementation

Custom AI Agent Development

Build AI Agents That Work With Your Data, Tools and Business Workflows

Srishta Technology develops custom AI agents that can answer questions, search company knowledge, call APIs, update systems, trigger workflows and assist your customers or teams with real business tasks.

RAG + documents
Tool/API calling
Workflow automation
Human approval flows

Agent Control Center

Tool-Connected AI Agent

Live Ready
UsersCRM / ERPDocumentsAPIsMonitoringRAG + LLM
Understands intent
Calls business tools
Escalates safely

Tool-Connected

Agents that use APIs, CRMs, ERPs and business systems

RAG-Ready

Answer from documents, PDFs, websites and knowledge bases

Human-in-Loop

Approval flows, escalation and controlled automation

Production-Grade

Secure, monitored, scalable and business-ready deployment

What we build

AI agents that do more than chat

A custom AI agent is not just a question-answer bot. It is a business assistant that understands intent, retrieves the right information, uses tools, follows rules and helps complete real tasks.

U

Understands

The agent identifies user intent, context, missing details and the correct next step.

R

Retrieves

It searches trusted knowledge sources such as documents, website content, PDFs and databases.

A

Acts

It can call APIs, create tickets, update CRM records, schedule meetings or trigger workflows with controls.

Agent solutions

Custom AI agents we can develop

We build AI agents around your business model, industry, workflows and internal systems instead of forcing a generic chatbot template.

Customer Support AI Agents

AI agents that answer customer questions, understand support intent, search help content, create tickets and escalate complex cases to your team.

  • Website and app support agent
  • FAQ and knowledge-base answering
  • Ticket classification and routing
  • Suggested replies for support teams
  • Human handoff for complex queries
  • Order, booking or account-status lookup through APIs

Sales & Lead Qualification Agents

AI agents that capture inquiries, qualify leads, recommend services, collect requirements and help your sales team respond faster.

  • Lead qualification conversations
  • Requirement collection before calls
  • CRM lead creation and updates
  • Service recommendation flows
  • Follow-up message drafting
  • Meeting or demo scheduling support

Healthcare AI Assistants

Healthcare-focused agents for digital health platforms, consultation support, patient guidance, care summaries and internal medical workflows.

  • Consultation summary generation
  • Patient query assistant
  • Doctor note structuring
  • Lab booking support flow
  • Prescription explanation support
  • Emergency/SOS workflow assistance

Internal Knowledge Agents

RAG-based agents that help employees search policies, SOPs, product documents, training material, reports and internal knowledge bases.

  • Company document Q&A
  • Policy and SOP assistant
  • Onboarding knowledge assistant
  • Product and technical documentation search
  • Role-based access to private knowledge
  • Source-backed answers with citations or references

Document Processing Agents

AI agents that read, classify, summarize and extract structured information from invoices, forms, reports, contracts and operational documents.

  • Invoice and form extraction
  • Document classification
  • Summary generation
  • Data validation workflows
  • Approval and exception handling
  • Export to CRM, ERP or database

Operations & Admin Agents

Agents that reduce repetitive admin work by generating reports, updating dashboards, preparing summaries and triggering backend workflows.

  • Daily operations summary
  • Admin dashboard AI assistant
  • Workflow status checking
  • Report generation
  • Task creation and assignment
  • Multi-step backend workflow execution

Core capabilities

Everything needed for production AI agents

A reliable AI agent needs knowledge, tools, controls, deployment and continuous improvement. We design the complete implementation stack.

Tool & API Calling

Connect agents with your backend APIs, CRM, ERP, database, booking system, payment flow, calendar, ticketing tools and internal dashboards.

RAG Knowledge Retrieval

Allow agents to answer from your documents, website content, PDFs, product manuals, policies, SOPs and internal knowledge base.

Workflow Automation

Design agents that can move beyond answering and actually perform actions such as creating records, sending updates and routing requests.

Human Approval Flow

Add approval checkpoints for sensitive actions so teams can review, approve, edit or reject AI-suggested actions before execution.

Memory & Context

Maintain useful session context, user intent and workflow state so conversations feel natural and tasks do not restart again and again.

Guardrails & Access Control

Restrict what the agent can answer, which tools it can call, what data it can access and when it must escalate to a human.

Omnichannel Deployment

Deploy agents into websites, web apps, mobile apps, admin panels, internal portals, support panels or messaging channels.

Monitoring & Improvement

Track conversations, failed intents, handoffs, accuracy issues, tool errors, usage cost and improvement opportunities after deployment.

Agent architecture

How a custom AI agent works inside your business

The agent sits between your users, knowledge, tools and approval rules. This is what makes it useful beyond basic chat.

Agent flow

1User request
2Intent + context
3RAG knowledge search
4Tool / API action
5Guardrail check
6Answer or human handoff

User Channels

  • Website
  • Mobile app
  • Admin panel
  • Internal portal
  • Support desk
  • Messaging channel

Agent Orchestration

  • Instructions
  • Intent handling
  • Memory
  • Workflow state
  • Tool selection
  • Fallback logic

AI Intelligence

  • LLM
  • Prompt workflow
  • RAG retrieval
  • Embeddings
  • Reasoning steps
  • Response formatting

Business Tools

  • CRM
  • ERP
  • Database
  • Booking system
  • Ticketing
  • Payments
  • Calendar
  • Notifications

Control Layer

  • Guardrails
  • Role-based access
  • Human approval
  • Audit logs
  • Monitoring
  • Cost tracking

Implementation process

From use case to deployed AI agent

We follow a structured process so your AI agent is useful, controlled and connected with the systems your business already uses.

01

Agent Use Case Discovery

We understand your business workflow, users, pain points, current tools, data sources and what the agent should actually help with.

02

Agent Role & Scope Design

We define the agent's responsibility, allowed actions, escalation rules, knowledge sources, channels, user journeys and success criteria.

03

Knowledge & Data Integration

We connect documents, FAQs, PDFs, websites, databases, CRM records, ERP data or internal systems using RAG and secure APIs.

04

Tool & Workflow Development

We build tool-calling logic, backend integrations, workflow actions, approval steps, response formats and fallback behavior.

05

Testing, Evaluation & Guardrails

We test accuracy, edge cases, hallucination risks, unsafe actions, access control, tool failures and human handoff scenarios.

06

Deployment & Continuous Optimization

We deploy the agent into your product or workflow, monitor real usage and improve prompts, retrieval, tools and automation flows over time.

Use cases

Where custom AI agents create business value

Start with one high-value workflow, deploy it properly, then expand agent capability step by step.

Customer support AI agent
Sales lead qualification agent
Healthcare consultation summary agent
Appointment booking agent
RAG document Q&A agent
HR policy assistant
Invoice processing agent
CRM update automation agent
Admin dashboard AI assistant
Report generation agent
Internal IT helpdesk assistant
E-commerce product assistant
Training and onboarding assistant
Legal or compliance document assistant
Operations monitoring assistant
Mobile app AI assistant

Why Srishta

We build agents as real software systems

Many AI agent demos look impressive but fail in production because they are not connected with real workflows, permissions, monitoring and backend logic. Srishta Technology combines AI, RAG, app development, backend engineering and cloud deployment to build agents that can actually run inside your business.

View AI Implementation

Business-first agent planning

RAG and document intelligence capability

Backend/API integration expertise

Secure role-based workflows

Human approval and escalation design

Deployment, monitoring and optimization

Technology

Technology stack for AI agent development

We choose the model, retrieval system, backend and deployment architecture based on your workflow, data sensitivity, cost and performance needs.

LLMs & AI Models

  • OpenAI
  • Claude
  • Gemini
  • Open-source LLMs
  • Embeddings
  • Fine-tuning support

Agent & RAG Layer

  • Tool calling
  • Agent orchestration
  • Vector databases
  • Document chunking
  • Semantic search
  • Knowledge indexing

Backend Integration

  • Python
  • FastAPI
  • Node.js
  • Java Spring Boot
  • REST APIs
  • PostgreSQL
  • Redis

Deployment & Monitoring

  • AWS
  • Azure
  • Google Cloud
  • Docker
  • CI/CD
  • Logs
  • Analytics
  • Cost monitoring

Industries

Custom AI agents for multiple industries

The best AI agent is designed around the industry workflow, user role, data source and operational goal.

HealthcareExplore →
EducationExplore →
Retail & E-CommerceExplore →
Real EstateExplore →
ManufacturingExplore →
Enterprise TeamsExplore →
Enterprise AIExplore →
Government ProjectsExplore →

Experience

Relevant AI and digital solution experience

Our agent development capability is supported by real product engineering, healthcare workflows, AI features, dashboards and scalable backend systems.

Healthcare Digital Platform

We developed a healthcare platform with online consultation, lab booking, AI-generated consultation summaries, digital prescriptions, SOS support, patient records, doctor workflows and admin management.

AI-Powered Image Enhancement

We developed AI-powered image enhancement and upscaling solutions for improving photo quality, clarity and resolution.

Content & News Platform

We built a dynamic content aggregation platform with scalable backend logic, personalized content workflows and operational dashboards.

Trading & Analytics Platform

We developed an algorithm-based trading web application with advanced business logic, dashboards, analytics and automation-ready workflows.

Start your agent

Tell us what your AI agent should do

Share your workflow, data sources and business goal. Our team will help you decide whether you need a support agent, workflow agent, RAG assistant, tool-connected agent or enterprise AI assistant.

  • Use case discovery
  • Agent scope planning
  • Data and tool review
  • Implementation roadmap
  • Deployment guidance

FAQ

Custom AI agent development FAQs

Custom AI agent development means building AI systems that can understand requests, use your business knowledge, call tools or APIs, follow workflows and complete specific tasks inside your website, app, CRM, ERP or internal system.
A chatbot mainly answers questions. An AI agent can answer questions, retrieve knowledge, call tools, update systems, trigger workflows, ask follow-up questions and escalate to humans when required.
Yes. We can connect AI agents with your website, mobile app, backend APIs, CRM, ERP, database, booking system, support desk, admin panel and third-party tools.
Yes. We can build RAG-based AI agents that answer from your PDFs, policies, SOPs, website content, product documents, training material, database records and internal knowledge base.
Depending on the use case, we can integrate OpenAI, Claude, Gemini, open-source LLMs or a hybrid architecture. The model choice depends on accuracy, cost, privacy, latency and deployment needs.
Yes, but sensitive actions should use guardrails and human approval. Agents can create tickets, update records, generate summaries, schedule calls, trigger notifications and run workflows through APIs.
We use clear agent instructions, RAG retrieval, source grounding, response boundaries, fallback flows, evaluation tests, human escalation and continuous monitoring to reduce wrong or unsupported answers.
Yes. We can deploy agents inside websites, web apps, mobile apps, admin dashboards, internal portals, support panels or messaging channels depending on your requirement.
Security depends on architecture. We plan role-based access, API authentication, private knowledge access, logging, permission boundaries, data controls and human approval for sensitive actions.
Start with a discovery call. We will understand your workflow, users, tools, data and target outcome, then suggest whether you need a support agent, workflow agent, RAG assistant, enterprise assistant or custom AI integration.

Ready to build?

Build a custom AI agent for your business workflow

Whether you need a customer support agent, RAG knowledge assistant, healthcare AI assistant, sales agent or workflow automation agent, Srishta Technology can help you design, build and deploy it.

Talk to Our AI Team