Intelligence Into Action
From understanding to action

AI agents and workflow discovery

Design agentic workflows around real work and human accountability

An agent should not begin as a technology demonstration. It should begin with a defined responsibility, approved information, human decision points and a measurable outcome.

Team mapping an agentic AI workflow with governance and human review points.
Workflow firstApproved knowledgeHuman approvalMeasurable outcomes
The use-case question

Where can an agent help without obscuring responsibility?

The workshop identifies work that can be supported by agents and defines the boundaries, evidence and oversight required before a pilot.

Prioritized use cases

Rank opportunities by mission value, readiness, sensitivity, complexity and risk.

Workflow map

Document triggers, inputs, tools, decisions, outputs and handoffs.

Control model

Define permissions, approved sources, human review, escalation and logs.

Pilot brief

Create a focused implementation scope, success measures and next decision gate.

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Share the decision or outcome you need to clarify. A human will review the context.

Do not include personal health information, credentials, unpublished research, invention details or confidential security information in this public form.

What the engagement covers

From process understanding to governed pilot

The workshop can address one workflow in depth or compare a portfolio of potential agent opportunities.

Current process

People, systems, information, bottlenecks and exceptions.

Agent roles

Specialized responsibilities and boundaries rather than one generic assistant.

Knowledge and tools

Approved sources, retrieval, integrations and allowed actions.

Human-in-the-loop

Approval, review, correction, escalation and final accountability.

Security and governance

Identity, permissions, logging, testing and change control.

Measurement

Time, quality, completion, risk events, user experience and value.

A practical route

Move from uncertainty to a documented next step

Discover the work

Clarify the mission, users, process, information and pain points.

Design the workflow

Map agent tasks, knowledge, tools, human decisions and exceptions.

Govern the pilot

Set controls, tests, evidence, owners and acceptance criteria.

Build and learn

Implement a focused pilot and improve from observed performance.

Frequently asked questions

Before you begin

Is the workshop tied to Marbles Cognitive OS?

No. The workshop is technology-informed but begins with the workflow and governance need. Marbles may be considered where its developing capabilities are relevant and accurately represented.

Can an agent act without human review?

The right oversight depends on the task and risk. High-impact or sensitive decisions require appropriate human accountability and controls.

Can this include Microsoft Copilot agents?

Yes. The workshop can consider Microsoft tools, custom agents, knowledge systems and other approved environments.

What is the typical output?

A prioritized use case, workflow map, governance requirements, pilot scope and measurement plan.

Begin with the work, not the novelty.

Design an agentic pilot that people can understand, govern and evaluate.

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