Agentic Automation

We transform businesses by engineering reliability into every digital asset, ensuring defect-free releases that earn trust and scale impact.

From pilots to production: agentic AI that is governed, measurable and built to scale

Agentic AI can plan and act toward goals, which lets it automate end-to-end work. But without integration, oversight and guardrails, pilots don’t scale.

QKTech helps you deploy agents across five high-impact categories, with assurance and compliance embedded. With QKTech, you get faster resolution, lower cost-to-serve, better workflow oversight and stronger auditability.

Six ways we deliver agentic automation with enterprise-grade assurance

Enterprise Search Agents

Whether it’s an enterprise knowledge navigator, legal search agent or service engineer agent, QKTech will deploy agents that give your teams and customers instant, permission-aware answers from policies, SOPs, tickets, contracts and knowledge bases, complete with citations and audit trails.

Conversational Agents

Agentic AI is expected to autonomously resolve 80% of common customer service issues by 2029, according to Gartner.

Act now to deploy chat, email and voice agents that resolve requests, capture intent and hand off to humans with full context in customer service and internal functions such as HR and IT support.

Automation Agents

Move from answers to actions with agents that execute SOP-driven workflows across ITSM, CRM, ERP and internal tools, all the while staying within well-defined approval gates and controls.

Recommendation Agents

Turn signals into next-best action in lead prioritization, guided selling, personalized recommendations and decision support.

AI for Tech Agents

QKTech-built agents for engineering, DevOps and reliability accelerate delivery, improve quality and reduce incident toil. They cover the SDLC and SRE, functional test generation and automation, and incident support.

Enterprise-grade foundation for Safe Autonomy

With experience ensuring quality for Global 500 enterprises, QKTech designs the strategy and ROI roadmap, the integration architecture and the governance and access controls, then evaluates every agent and monitors it for drift once it is live.

Pick a feature or go full suite

Each capability can be deployed on its own or as a full stack.

Enterprise connectors and tool orchestration for CRM, ERP, ITSM and data

Knowledge grounding using RAG, knowledge graphs, citations and permissioning

Omnichannel interfaces (chat, email and voice) with conversation analytics

Approval gates and policy controls (human-in-the-loop, least privilege)

Assurance and testing, including Nimbus evaluation on dimensions such as safety, quality and compliance

AIOps command center for monitoring, drift detection, audit trails and governance KPIs

Outcomes to count on

Clients deploying agents with us report six kinds of gains.

40%

acceleration in software release cycles with agent-driven automation

Reduced

manual effort in end-to-end workflows through task automation agents

Higher

upsell and conversion through recommendation agents

Faster

customer and employee issue resolution and improved satisfaction through conversational agents

Faster

decisions and reduced time spent searching internal information through enterprise search agents

Reduced

operational costs and improved employee effectiveness with always-on agentic support

Insights

Insights on Turning AI into a Reliability Advantage

Common questions about agentic automation

What is agentic automation?

Agentic automation uses AI agents that plan multi-step tasks, call enterprise tools and act toward a goal, with a person approving wherever policy requires it.

How do you keep AI agents under control?

Agents work through approval gates and least-privilege access, every action is logged to an audit trail and an AI Ops command center watches for drift once they are live.

Which agent use cases should we start with?

Enterprise search and conversational agents usually return value first, because they draw on knowledge you already hold and keep a person in the loop for anything they cannot resolve.

How do you test an AI agent before it goes live?

We evaluate each agent on Nimbus on dimensions including accuracy, safety and compliance, and it must pass the GATES checks before it runs unsupervised.

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