AI Agent & Intelligent Agent Solutions

AI Agent: Autonomous AI Systems That Execute Tasks

Multiply operational efficiency with AI agents that autonomously plan, execute, and report on multi-step business processes. Near-zero human error, systems that run 24/7.

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Current State

Key Challenges in Operational Processes

Manual Coordination Burden

When multi-step processes span multiple systems and people, coordination is managed entirely manually and is prone to errors.

Long Data Collection and Analysis Time

Collecting, cleaning, and analyzing data from different sources takes hours; reports are always prepared late.

Cross-System Human Errors

Manual information transfer between platforms increases error rates; these errors cause serious problems in downstream processes.

Slow Decision Support Processes

Data analysis and option evaluation required for decisions are slow and largely intuitive; a data-driven decision culture cannot take hold.

Manual Project Tracking

Project status and reporting are done by hand; stakeholders must hold meetings or send emails to get up-to-date information.

Technical Infrastructure

Autonomous Business Processes with TechLink AI Agent

Built on Azure OpenAI and Make, our AI Agents execute multi-step processes without human intervention according to defined rules and learned patterns.

Azure OpenAI

Secure, powerful AI infrastructure at enterprise scale

Make

Powerful orchestration platforms for multi-step workflow automation

Web Scraping

Automated data collection, cleaning, and structured output generation

Email Processing

Email classification, response, and routing automation

Benefits

Results You Will Achieve

5-7 Steps

Fully Autonomous Processes

Five to seven-step business processes are made fully autonomous; automatic logs and audit trails are kept at every step.

80%

Data Collection Time Reduction

Manual data collection and compilation processes are automated, reducing time by eighty percent.

Human Error

When rule-based operations are executed completely and consistently by the agent, human errors approach zero.

24/7

Background Operation

Agents work outside business hours; when you arrive in the morning, all results are already reported.

Multiple

Concurrent System Management

A single agent manages multiple systems concurrently; data consistency and synchronization are ensured automatically.

Methodology

Our Implementation Process

Week 1

Discovery

We identify processes best suited for automation; we map business rules and system connection points.

Weeks 2-3

Design

We design agent flows, decision trees, and human approval points.

Weeks 3-6

Development

We develop agents, connect them to systems, and test with real data.

Weeks 6-8

Go-Live

A monitoring dashboard is set up, the team is trained, and performance tracking begins.

FAQ

Frequently Asked Questions

A chatbot is reactive: the user asks, the chatbot answers. An AI Agent is proactive: it plans steps to reach a goal, accesses required systems, and completes the task. Agents are used for multi-step work requiring independent decisions.

Integration is possible with SAP, Oracle, Dynamics 365, Salesforce, Microsoft 365, Google Workspace, Jira, Slack, web services, and any system offering REST APIs. An RPA layer is added for legacy systems without APIs.

For decisions exceeding your threshold values, exceptional situations, or high-risk steps, the agent automatically triggers human approval. You define which steps require approval.

Every agent step is logged with a timestamp. Who accessed which data when, and which decision was made for what reason—all are stored for audit. Configuration aligns with KVKK and internal audit requirements.

Yes. Agents sit on top of your existing processes without disrupting them. You can automate manual steps one by one, or run in a hybrid (partially manual, partially automated) model if needed.

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Bağcılar, İstanbul

AI Agent