01
Build the business case
Establish the cost, delay or missed opportunity in the current workflow. Include implementation, integration, model usage and ongoing review in the investment case.
Which result would justify the investment?
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RDMI perspective
The business case for Agentic AI.
A practical framework for turning a business priority into an AI workflow with clear ownership, defined controls and measurable results.
RDMI research · A framework for business and technology leaders
Leadership framework
Six decisions that shape the outcome.
Agentic AI creates value when it helps complete meaningful work. A sound investment connects the expected business benefit to the operational conditions required to deliver it.
02
Understand the operating environment
Trace a real case from first contact to completion. Identify the records, systems, teams and exceptions an agent would need to work with.
What prevents the work from moving today?
03
Design accountable agents
Define the tasks the agent can perform, the tools it can use and the actions that require human approval. Give unresolved cases a clear route back to a person.
Who owns the outcome and handles exceptions?
04
Make business context accessible
Connect the approved documents and records that support the workflow. Establish access rules, source ownership and a process for keeping information current.
Can the agent find reliable, permitted information?
05
Validate performance in context
Evaluate representative cases, including missing information, conflicting records and failed integrations. Agree acceptance criteria with the team that will operate the system.
What evidence is needed before release?
06
Measure and improve the result
Compare actual outcomes with the baseline. Review completion, quality, cost and human intervention together so efficiency gains do not conceal service failures.
Is the workflow delivering the intended business value?
Apply the framework to your business.
Bring the workflow, the operating challenge and the result you want to achieve. We can help define the scope, delivery requirements and measures that make the next step clear.
Discuss your AI priorities