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Managed AI Agents
We design, deploy, and manage a fleet of AI agents across your operations. You approve the work, we run the system. Delivered through Omni by Enterprise DNA, our managed operating layer.
Why managed
The demo is easy. Keeping agents accurate, connected, and useful as your business changes is the hard part. That is the part we own, so your team gets the output without the upkeep.
A prompt that worked in January quietly degrades by March as your data, your team, and your customers move. Someone has to notice and fix it.
The person who set it up is busy. Small breakages pile up, trust erodes, and the agent slowly falls out of use. Managed means it stays cared for.
Tools update, tokens expire, formats change. Unmanaged agents fail silently at the connection points long before anyone realises output has stopped.
Without monitoring and a weekly receipt, you are trusting a black box. Managed agents come with a clear record of what ran and what it produced.
One clever workflow is a demo. A fleet across support, sales, ops, and admin is a system. Getting from one to many is exactly what we manage.
Approval gates, data boundaries, and accuracy checks only hold if someone maintains them. We keep the guardrails current as the agents expand.
Model-agnostic by design
We run the right model for each task, from OpenAI, Anthropic, Gemini, open-source, or a local model for sensitive work, and swap them as the market moves. What never moves is your side of the line. You own the layer, you rent the intelligence.
We build you an AI layer you own and could take with you. Documented, exportable, and yours. We manage it, we do not hold it hostage.
Agent pods
We start where the pain is and expand from there. Each pod is a team of agents that handles a slice of the work, with your people approving anything that matters.
Customer-facing triage, reply drafting, escalation, and knowledge upkeep.
Lead research, outbound drafts, meeting prep, CRM hygiene, and follow-up.
Process monitoring, document extraction, task creation, and weekly summaries.
Invoice checks, reconciliation prep, chasing missing info, and management summaries.
The leadership view: what changed, the risks, the opportunities, the themes.
How we run it
1 to 2 weeks
Ranked opportunities, a workflow map, an integration read, and risk notes. We recommend the pods and the scope to start with.
1 week
Process maps, agent definitions, human approval points, data boundaries, and the success metrics we will hold the system to.
2 to 4 weeks
Your first one to three production workflows go live on real data, with the weekly receipt running and the approval queue wired in.
Ongoing monthly
We monitor, improve, report, and expand. You interact through your Omni workspace, and the fleet grows as the wins compound.
Every month, included
Custom insight, standardised delivery, recurring management. You interact through your Omni workspace instead of chasing one-off builds.
30 minutes with Sam. We find the first two or three workflows where managed agents would pay for themselves, and show you exactly how the system would run inside your firm.
Book a discovery call