Multi-agent orchestration
Coordinate specialist agents with defined tasks, explicit handoffs, shared context, and traceable outputs. Use multiple agents where separate responsibilities make the workflow easier to reason about.
02 / WORK WITH MARC RASMUSSEN
Less repetitive work. A clearer workflow.
Find the work worth automating, choose a practical approach, and connect the tools your team uses. Start with a focused assessment or work with me on implementation.
Discuss your workflowTHE STARTING POINT
Start with one task that gets in the way.
Copying information between systems, sorting enquiries, and preparing updates can interrupt useful work. We map the current process, compare a simple integration with an AI approach, and agree what a good result looks like. Where specialist agents are useful, I help define their responsibilities, tool access, validation, and human review.
Guardrails and scoped tools
Define tool permissions, validate outputs, and set limits on retries and execution. Make failures and out-of-scope requests visible instead of silently continuing.
Human oversight and evaluation
Put approval before consequential actions, retain useful execution traces, and evaluate realistic success and failure cases. Improve the workflow based on evidence.
A workflow you can inspect and improve.
We start with the task, the available tools, and the decisions that need human judgement. Then we define agent responsibilities, test failure paths, and agree on review boundaries. Guardrails reduce risk; they need evaluation and ongoing maintenance.
Explore the automation labWhat to bring to the conversation.
Bring a workflow you want to improve, the systems involved, and the actions that should require approval. Fictional examples are enough for an initial conversation.
Discuss your workflowAI / MULTI-AGENT ORCHESTRATION
Give the work
a constellation.
One coordinator. Specialist agents working in parallel. A clear boundary between a proposed action and permission to act.
01 / DELEGATE02 / COLLABORATE03 / CHECK
GUARDRAIL CHECKPOINT
Nothing leaves without a check.
Scoped toolsOutput validationHuman approval
Awaiting proposalThe proposed brief stays here until the checks are complete.
One task. Three specialists. An explicit approval boundary.
Illustrative simulation with fixed results. No agents, tools, or external services are called.
Useful questions, answered.
Does every automation need AI?
No. Some tasks are better handled by a straightforward integration or a defined rule. We discuss the workflow first and choose an approach that fits it.
Can a person approve the output?
Yes. Review steps can be part of the workflow, for example checking a drafted reply or validating extracted document details before they are used.
Is the interactive lab a live AI service?
No. The lab uses fixed, fictional samples to illustrate possible transformations. It does not send data to an AI service or demonstrate a deployed client system.
What does AI automation consulting cost?
The consulting rate is 850 DKK per hour, excluding VAT. The scope and estimated effort are agreed before work starts.