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AI Agent Development

Autonomous agents that do the work, with a human on the approvals

An AI agent is software that reasons over a goal, chooses its own steps, and uses tools to act — reading a document, querying a database, updating a record. We build agents that work on your data, inside your systems, with explicit limits on what they may do alone.

Why Choose Our AI Agent Development

Concrete, measurable benefits designed to deliver ROI for your specific business.

Grounded in Your Own Data

Retrieval-augmented generation (RAG) puts your contracts, SOPs, and product docs behind the model, so answers cite your material instead of being invented.

Agents That Take Action

Tool-using agents don't just reply — they create the ticket, update the CRM record, and trigger the downstream workflow through your existing APIs.

Human Approval Where It Matters

You decide which actions an agent may take unattended and which pause for sign-off. Payments, customer-facing messages, and deletions can always require a person.

Every Step Auditable

Each run records the reasoning, the tools called, and the data touched — so an agent's decision can be reviewed after the fact, not just trusted.

Model-Independent

We build against an abstraction layer rather than a single vendor, so you can move between Claude, GPT, and open models as cost and capability shift.

Scoped Access by Default

Agents get least-privilege credentials scoped to the specific records and actions the task needs — not broad access to your systems.

Our Process

A proven, transparent engagement process that delivers results on time and on budget.

1

Use-Case Scoping

identify a workflow where judgement is needed but the inputs are consistent, and define what 'done' means

2

Data & Tool Inventory

catalogue the documents the agent must read and the systems it must act in

3

Retrieval Layer

chunk, embed, and index your content so the agent answers from your material, with citations

4

Agent & Tool Design

define the tools, the guardrails, and which actions require human approval

5

Evaluation Harness

build a test set of real cases and measure accuracy before anything reaches production

6

Supervised Rollout

launch with a human reviewing every action, then widen autonomy as the evaluation data supports it

7

Monitoring & Iteration

track failures and edge cases, and tighten prompts, retrieval, and guardrails over time

Technology Stack

Best-in-class technologies selected for performance, scalability, and long-term maintainability.

Anthropic ClaudeOpenAI GPT-4oLangChainLlamaIndexModel Context Protocol (MCP)pgvectorPineconeQdrantPythonFastAPICeleryPostgreSQL

About Our AI Agent Development Service

Everything you need to know before starting your project with Canny Technologies.

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Who We Are

Canny Technologies is an AI development company headquartered in Bangalore, India, building LLM-based agents, RAG systems, and AI-powered applications for businesses in the USA, UK, UAE, Singapore, Australia, and India.

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What We Do

We build AI agents that reason over a goal and use tools to act inside a client's existing systems. Our work covers retrieval-augmented generation (RAG) over client documents, tool-using agents integrated with CRM and ERP platforms, human-in-the-loop approval workflows, evaluation harnesses for measuring agent accuracy, and AI-powered application development.

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Who We Help

We work with mid-sized and enterprise businesses that have a workflow requiring judgement over consistent inputs — invoice matching, email triage, policy question answering, lead qualification, case summarisation — and want it handled reliably without removing human oversight from consequential decisions.

Why Choose Us

We design for supervision rather than autonomy-by-default: approval gates on consequential actions, citations on generated answers, and an evaluation harness built before launch so accuracy is measured rather than assumed. We build model-independent so clients are not locked to one vendor, and we are based in Bangalore, offering senior engineering talent at substantially lower cost than US or UK firms.

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Cost Guide

AI agent projects vary widely with the number of tools and systems involved. A scoped pilot — one workflow, one retrieval corpus, human approval on every action — is the usual starting point and is quoted fixed-price after a discovery call. Production rollouts are scoped separately once pilot evaluation data exists. We do not quote a price before understanding the systems an agent must touch.

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Timeline Guide

A pilot agent covering a single workflow typically reaches supervised production in 4–8 weeks, depending on how accessible the source documents and target systems are. Widening autonomy beyond the pilot is driven by evaluation results rather than a fixed schedule.

Frequently Asked Questions

Honest answers to the questions clients ask most often before engaging us.

Ready to Get Started?

Book a free 30-minute consultation to discuss your ai agent development requirements. We'll scope the project and give you a clear, fixed-price proposal.

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