UK AI chatbot, AI agent, RPA and Microsoft Copilot consultancy for SMEs and growing businesses.
Request a Demo
UK AI chatbot, AI agent, RPA and Microsoft Copilot consultancy for SMEs and growing businesses.
Request a DemoAI agents for UK organisations that plan, run and report multi-step processes across CRM, ERP and Microsoft 365, with logged steps and human approval where you require it.
An AI agent is software that works towards a goal by planning its own steps, using connected business systems and completing the task. A chatbot answers when asked; an agent carries out multi-step work. TechLinkAI builds agents on Azure OpenAI with defined human approval points.
UK organisations with multi-step work that crosses several systems or people, such as gathering data, handling email or coordinating follow-up.
Selecting suitable processes, mapping business rules and system connections, designing agent flows and approval points, building and testing with real data, a monitoring dashboard and team training.
The standard process runs from discovery in week 1 to go-live in weeks 6 to 8. Scope can change this.
Each agent step is logged with a timestamp for audit, and configuration aligns with UK GDPR and your internal audit requirements.
Last reviewed: 1 November 2026 · Compare all solutions
When multi-step processes span multiple systems and people, coordination is managed entirely manually and is prone to errors.
Collecting, cleaning, and analysing data from different sources takes hours; reports are always prepared late.
Manual information transfer between platforms increases error rates; these errors cause serious problems in downstream processes.
Data analysis and option evaluation required for decisions are slow and largely intuitive; a data-driven decision culture cannot take hold.
Project status and reporting are done by hand; stakeholders must hold meetings or send emails to get up-to-date information.
Built on Azure OpenAI and Make, our AI Agents execute multi-step processes without human intervention according to defined rules and learned patterns.
Secure, powerful AI infrastructure at enterprise scale
Powerful orchestration platforms for multi-step workflow automation
Automated data collection, cleaning, and structured output generation
Email classification, response, and routing automation
Five to seven-step business processes are made fully autonomous; automatic logs and audit trails are kept at every step.
What automation has achieved elsewhere
Peer-reviewed pilot at two African regulators, 60 dossiers, developer-involved study. Frontiers in Medicine, 2026. Not a TechLink result. About 1.5 hours against an estimated 16-hour manual process; 91.7% accurate compared with human assessors. Read the source
Rule-based operations are executed completely and consistently by the agent, which reduces human error.
Agents work outside business hours; when you arrive in the morning, all results are already reported.
A single agent manages multiple systems concurrently; data stays consistent and in sync across them.
We identify processes best suited for automation; we map business rules and system connection points.
We design agent flows, decision trees, and human approval points.
We develop agents, connect them to systems, and test with real data.
A monitoring dashboard is set up, the team is trained, and performance tracking begins.
Let's identify together which of your processes are best suited for AI Agent and create your pilot project plan.