Deploy intelligent automation and agentic AI that transforms operations
Service Overview
The era of passive AI assistants is over. Syncus deploys agentic AI and intelligent automation systems that actively execute multi-step workflows, eliminate manual processes, and unlock operating leverage that wasn't previously possible. From Microsoft Power Platform solutions to full autonomous agent deployments on Azure AI Foundry, we build automation that compounds in value over time.
Our approach is to identify high-value, high-certainty automation targets — processes with clear inputs, predictable outcomes, and measurable success criteria — and deliver demonstrable ROI within 90 days. We don't start with the technology; we start with the business problem, the process bottleneck, or the cost centre that demands attention. This focus ensures every automation we deploy has an owner, a success metric, and a governance framework before the first line of code is written.
AI governance and security are built in from day one. Our agentic deployments operate under least-privilege service identities, with immutable audit trails, human-in-the-loop checkpoints for high-risk actions, and prompt injection protections. Enterprise AI is not just a technology challenge — it is a change management challenge, and we treat it as both.
What We Deliver
From RPA and Power Platform to autonomous agentic AI that operates at enterprise scale
Autonomous AI agents built on Azure AI Foundry that execute multi-step workflows, call APIs, query databases, and complete tasks without human intervention. Scoped, secured, and governed for enterprise environments.
End-to-end Power Platform solutions covering Power Automate, Power Apps, and Power BI. We build workflows, custom applications, and executive dashboards that integrate seamlessly with your Microsoft 365 environment.
Robotic Process Automation for repetitive, rule-based tasks. We design, build, and maintain UiPath and Power Automate workflows that handle high-volume back-office processes reliably and at scale.
Azure AI Document Intelligence with custom models trained on your specific form types. Extracts structured data from invoices, contracts, health records, and regulatory submissions with sub-1% error rates.
End-to-end machine learning lifecycle on Azure ML — from experiment tracking and model training to containerised deployment, inference endpoints, and ongoing model monitoring in production.
Azure-based conversational AI deployments — from Teams-integrated helpdesk bots to customer-facing service agents. Designed with safety guardrails, topic boundaries, and escalation paths for enterprise trust.
How We Work
A structured four-phase methodology from discovery to scaled production deployment
Process discovery workshops, automation candidate scoring, and ROI modelling. We identify the highest-value opportunities with the clearest success criteria and lowest implementation risk.
Solution architecture, data flow design, integration mapping, and governance framework. Security review, access scoping, and human-in-the-loop checkpoint definition.
Iterative build with continuous stakeholder feedback. UAT with real process data, error handling design, and parallel running against existing processes before full cutover.
Post-deployment monitoring, performance tuning, and capability expansion. Knowledge transfer ensures your team can maintain, extend, and govern the automation estate independently.
Technologies & Platforms
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Let's identify your highest-value automation opportunity and build a roadmap to 90-day ROI.
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