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Agentic AI

Chaincode designs and deploys autonomous AI agents that reason, plan, and take actions across your systems — reducing manual work and accelerating complex decision-making workflows. We build production-ready agentic systems, not just proof-of-concept demos, using frameworks like LangChain, AutoGen, and CrewAI on the LLM backbone that best fits your requirements.

Safety and observability are built in from the start. Every agent includes human-in-the-loop checkpoints for high-stakes decisions, comprehensive audit logs, and cost controls — so you get the productivity benefits of autonomous AI without the risk of unchecked actions.

About this service

Design, build, and deploy autonomous AI agents that reason, plan, and take actions across your systems — reducing manual work and accelerating decision-making.

Key Features

01

Custom AI agent design using frameworks such as LangChain, AutoGen, and CrewAI

02

Multi-agent orchestration with defined roles, memory, and inter-agent communication

03

Tool-use integration: agents that call APIs, query databases, and execute code

04

Retrieval-Augmented Generation (RAG) pipelines for grounded, accurate outputs

05

Human-in-the-loop checkpoints for safe, auditable autonomous workflows

06

Observability and logging for every agent action and reasoning step

07

Deployment on cloud infrastructure with auto-scaling and cost controls

Why Trust Chaincode

Hands-on experience shipping production agentic systems — not just prototypes

We design for safety first: every agent has guardrails, fallbacks, and audit logs

Framework-agnostic approach — we pick the right tool for your use case and data

End-to-end delivery: problem framing, architecture, build, testing, and deployment

Our Process

01

Use-case discovery: identify high-value tasks where autonomous agents save the most time

02

Agent design: define goals, tools, memory strategy, and escalation thresholds

03

Prototype and evaluate: build a sandboxed agent, measure accuracy and cost

04

Tool and data integration: connect the agent to your APIs, databases, and workflows

05

Safety testing: red-team the agent against adversarial inputs and edge cases

06

Production deployment with monitoring, alerting, and continuous improvement loop

Frequently Asked Questions

Research and summarisation, multi-step data processing, customer support triage, automated report generation, and any workflow that currently requires a human to coordinate between multiple tools.
We implement human-in-the-loop gates for high-stakes actions, cost budgets per run, and comprehensive logging so every decision can be reviewed and the agent can be corrected quickly.
We work with OpenAI GPT-4o, Anthropic Claude, Google Gemini, and open-source models like Llama 3. We help you choose the best model for your accuracy, latency, and cost requirements.

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