Many artificial intelligence initiatives start with the tool: a model is tested, a demonstration is prepared and only then does the company look for somewhere to use it. This often produces attractive solutions that do not fit day-to-day work.
Useful implementation starts by understanding which task creates delays or errors, who makes decisions, what information they need and which outcome should improve. Only then is it worth deciding whether the answer is an agent, corporate search, automation or a combination of capabilities.
What must be clear before building
- The specific process to improve
- The people who will use or supervise the solution
- Available information sources and tools
- Risks, permissions and exceptions
- The improvement metric: time, quality, cost, adoption or decision-making
The internal proposal should not be “use AI”. It should be a clear improvement to the way work is done. This makes adoption easier, supports better comparison of alternatives and prevents investment in technology that does not address a priority need.
How DRPP approaches implementation
Our team treats every AI implementation as a change to the operating model. We design the complete workflow: users, data, tools, oversight, measurement and continuous improvement. Technology matters, but the outcome is measured by how the team works after implementation.
Frequently asked questions
What is the first step when implementing AI in a company?
Define a specific process, the people involved, the information sources and the metric that should improve.
Is it better to start with agents or RAG?
It depends on the need. If the problem is finding reliable knowledge, search and RAG may be the right starting point. If the problem is carrying out tasks, a supervised agent may be more appropriate.
How should the first AI process be selected?
Prioritise a frequent process with identified users, available information, manageable risk and an improvement that can be measured.
What should be defined before a pilot?
Scope, owners, information sources, permissions, exceptions and success indicators.