AI Employees & Agentic AI
The next generation of AI does not just provide information. It completes work. We build AI agents that operate alongside your team around the clock, inside your systems, against your process.
Each one is built around your process rather than dropped in from a template. Research, outreach drafting, qualification, routing, and the handoffs in between.
Running
Finds prospects, researches accounts, engages leads and books meetings. It works the top of your funnel every hour your team is asleep.
agent.sales > scanning 4,120 accounts for hiring + funding signal... 37 qualified, 9 routed to calendar.
Running
Sources candidates, analyzes profiles and supports recruiting workflows end to end, built on the search methodology Magna already runs.
agent.recruit > shortlisting 812 profiles against brief... 24 matched, 6 flagged as open to move.
Running
Manages information, reporting, scheduling and the administrative workflow that quietly consumes a leadership team’s week.
agent.exec > weekly brief assembled from 6 systems... 14 decisions surfaced, 3 need you.
Running
Supports customers, answers questions and improves response times, escalating the moment a conversation needs a person.
agent.cs > 148 tickets triaged... median first response 41s, 12 escalated to human.
Running
Collects intelligence, monitors markets and delivers insight on a schedule, so strategy runs on current information.
agent.research > monitoring 62 competitors + 9 markets... 4 material changes this week.
Running
Manages workflows, processes and internal requests, routing work to the right place without anyone chasing it.
agent.ops > 213 requests routed... 0 stalled past SLA, 5 approvals pending.
0
Agents run through the night, the weekend and the holidays
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Roles available today, with custom agents built to brief
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Templates shipped as-is. Every agent is built around your process
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Deployed inside your environment, against your systems
A chatbot waits to be asked. An agent has a job. It holds a goal, reads the systems it has been given access to, decides what to do next, does it, and reports back, then picks the thread up again the following morning without being reminded.
That is the whole difference, and it is the reason headcount and capacity stop being the same number. A sales team of four with an AI SDR covers the ground of a team of seven, and the four spend their day closing rather than prospecting.
Agents are built on the same infrastructure practice as everything else we deliver: your data, your environment, your governance. They are monitored, they are versioned, and when your process changes, so do they.
The six above are the roles companies ask for most often. They are not the limit. Custom agentic AI is a practice in its own right: agents built around your process rather than a template, covering research, outreach drafting, qualification, routing and the handoffs between them.
The question is not what can AI do. It is what should it own.