Autonomous AI Agents

AI agents that work
while you sleep.

AI agents go beyond answering questions — they plan, execute multi-step tasks, use tools, and operate autonomously. We build production agentic systems that automate complex workflows and make decisions — with the right guardrails to keep humans in control.

Multi-step automation Tool & API actions Human oversight
350+
AI Systems Delivered
14yrs
Engineering Experience
78%
Tasks Auto-Resolved
Agent Capabilities
Enterprise-grade
Task Planning & Decomposition95%
Tool Use & API Integration92%
Multi-agent Orchestration90%
Memory & Context Management88%
Agents
Tools
Memory
Guardrails
🤖 Agentic AI
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What's Included

AI Agent Capabilities, End to End

From task-completion agents to orchestrated multi-agent systems — engineered for safe, autonomous operation.

🤖

Task-Completion Agents

LLM agents that autonomously complete complex, multi-step business tasks — research, data gathering, analysis, and report generation — with full audit trails.

🕸️

Multi-Agent Systems

Orchestrated networks of specialised agents that collaborate — researcher, analyst, writer, reviewer — with task routing, result aggregation, and conflict resolution.

🔧

Tool-Use & API Agents

Agents with rich tool integrations — web search, code execution, database queries, CRM actions, file operations, and REST API calls — enabling real-world automation.

💾

Memory & Context Management

Long-term memory architectures (episodic, semantic, procedural) that let agents recall past actions, learn from experience, and maintain context across sessions.

🔄

Agentic Workflow Automation

Agentic replacements for manual multi-step workflows — document processing pipelines, data enrichment, and approval chains that previously required human operators.

🛡️

Human-in-the-Loop Systems

Agents designed for safe deployment — with human approval gates for high-stakes actions, explainable decision logs, and immediate override capabilities.

How We Work

Our agent engagement process in 5 steps

A disciplined, outcome-focused approach from first call to go-live.

  1. 1

    Agent Design & Scoping

    Define the agent goal, tool inventory, scope boundaries, and human oversight requirements — the blueprint for safe autonomous operation.

  2. 2

    Tool & API Integration

    Build and test all tool integrations — web search, APIs, databases, code execution — that the agent will use to take actions.

  3. 3

    Agent Build & Prompt Engineering

    Develop the agent reasoning loop, memory architecture, multi-agent orchestration, and systematic prompt optimisation.

  4. 4

    Safety Testing & Guardrails

    Adversarial testing for prompt injection, scope violations, and unintended actions — plus human-in-the-loop checkpoints and kill switches.

  5. 5

    Deployment & Monitoring

    Deploy with full action logging, performance monitoring, cost tracking, and escalation paths for edge cases.

Technology Stack

Agent Tools & Frameworks We Master

A production-tested, vendor-agnostic stack built for enterprise security and compliance requirements.

Agent Frameworks

LangChainLangGraphCrewAIAutoGenSemantic KernelHaystack

Foundation Models

GPT-4oClaude 3.5Llama 3MistralGemini Pro

Memory & Storage

Zep MemoryPineconepgvectorRedisMemGPTLangMem

Observability

LangSmithLangfuseHeliconeWeights & BiasesDatadogOpenTelemetry
Real-World Impact

Agent Use Cases by Industry

Production agentic systems we have built across regulated, data-heavy industries.

Enterprise

Research & Competitive Intelligence Agent

Multi-agent system autonomously researching competitors, extracting data, and generating weekly intelligence reports — replacing 20 hours of manual analyst work.

CrewAIGPT-4oResearch
Legal

Contract Review Agent Pipeline

Agentic pipeline that reads contracts, flags risks, cross-references legal databases, and drafts amendment suggestions — cuts review time from 5 days to 6 hours.

LangGraphClaudeLegal
Fintech

Autonomous Financial Analysis Agent

Agent that pulls earnings data, runs financial models, and generates investment research summaries — used by portfolio managers to cover 3x more companies.

AutoGenRAGFinance
HR Technology

Candidate Screening Agent

Multi-agent system that reads CVs, scores candidates, cross-references job requirements, and drafts personalised outreach — processes 1,000+ applications per day.

CrewAINLPHR
DevOps

Code Review & Testing Agent

Autonomous code review agent that analyses PRs, identifies bugs, checks coverage, and suggests fixes — integrated with GitHub, reducing review cycle time 60%.

LangChainCodeDevOps
Customer Ops

Tier-1 Resolution Agent

Agentic customer support system that diagnoses issues, queries systems, takes actions (refunds, rescheduling), and resolves 78% of tickets without human involvement.

LangGraphToolsCX
Client Voices

What Teams Say After Shipping with Us

Real results from teams who needed agents to work in production, not just in a demo.

AndolaSoft has been a valued partner providing excellent customer service. Issues with clients or troubleshooting are handled in a timely manner and positive resolution is always the outcome.
JK
Jim Kaplan
Founder, AuditNet
I got a recommendation on AndolaSoft. They are more than half the cost, they have a can-do attitude, and they are responsive, timely, and easy to work with.
CV
Caroline Van Sickle
Pretty in my Pocket, Atlanta GA
Andolasoft team is very hardworking, dedicated and professional that follows through with their goals. The technical leadership is also a superior value to any other developers.
ZN
Zeid Nasser
Editor-in-Chief, theCollegeDriver.com
FAQ

Frequently Asked Questions

An AI agent is an LLM-powered system that can autonomously plan, reason, and take actions — using tools like web search, code execution, API calls, and database queries — to complete complex multi-step tasks, not just answer questions.

Ready to build your AI agent?

Tell us the workflow you want to automate. We will design a safe, production-grade agentic system with the right guardrails.