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 automationTool & API actionsHuman 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.