You have seen an agent do something useful and want to apply it to your business. The demonstration shows what is possible. Applying it means accounting for your information, systems and people, and an AI marketing consultant in Bangkok is who you bring that problem to first.
CTB Digital Marketing Co., Ltd. can help you scope that idea as an AI employee, focused agent, knowledge base or longer-running workflow, and produce a plan the build team can work from.
Scope and inclusions
What this engagement covers. Discovery from a real example of the work; mapping its input, expected result and the decisions along the way; identifying the information, tools and operating requirements; deciding how the parts fit together, what is retained between steps, and what happens when the process cannot continue; and a build brief with sample inputs, expected outputs and criteria for checking a first version.
Out of scope: this is strategy and architecture, not the build. The build itself, whether an AI employee, an agent or a knowledge base, is a separate engagement handled through AI employees and custom builds. We do not quote an ongoing running cost without a tested basis, and we record assumptions separately from confirmed facts.
Describe the job before choosing the architecture
Start with an example of the work. Identify its input, expected result, and the decisions made along the way. Then examine the information and tools required to complete it.
This surfaces dependencies early. A workflow may need a maintained service definition, access to an existing system, or a person who can resolve ambiguous cases. Include those requirements in the architecture instead of leaving them until after a demonstration.
Decide how the parts fit together
The planning work describes what follows fixed rules, where an agent interprets information, and where a person reviews a proposal. It also identifies what is retained between steps and what happens when the process cannot continue.
A knowledge base needs an owner and rules for keeping it up to date. Longer-running tasks need a way to track progress and conditions for stopping. Specify which external actions the system has permission to take. When evaluating multi-agent orchestration patterns or developer scaffolds, we draw on our open-source reference implementations, such as the multi-agent customer lifecycle system in cymbal-agentic-suite and the permission-aware WordPress control layer in AgentPress, to test integration and safety boundaries before committing to a production stack.
Assess providers and frameworks against those requirements and the team's operating constraints.
Write the build brief
Agree which planning outputs are needed. A brief can include the workflow, required connections, sample inputs, expected outputs, and criteria for checking a first version.
Record assumptions separately from confirmed facts. If an integration has not been tested, say what needs checking. If an ongoing cost depends on usage, make that clear and avoid quoting a figure without a basis.
The result supports a build conversation, whether with CTB through AI employees and custom builds or with the team responsible for implementation.
Plan the first assessment
Choose representative tasks and examples that may fail. Decide what a satisfactory result looks like and what should be handed back to a person.
You can then assess the first version against the work it is meant to do, including the time spent reviewing it, rather than judging it by the demonstration alone.
Where we work
CTB works with businesses in Bangkok, Samut Prakan, Phuket and Pattaya City. Strategy sessions are remote, with on-site workshops by arrangement, scoped around the systems and team you already have. Full operating details are on the /services/ hub.
Frequently asked questions
Do we need to know which tools to buy?
No. Bring the idea and the systems you already use. We establish the requirements first, then assess tools against them, because choosing a platform before the job is defined usually means rebuilding around a constraint you did not need to accept.
Is implementation included?
No. This engagement produces a plan and a build brief. The build itself, whether an AI employee, an agent or a knowledge base, is a separate engagement handled through the AI employees and custom builds service, even when one leads directly to the other.
Can we extend something we already built?
Yes, that is a useful starting point. Bring its current behaviour, its limitations, and the next job you want it to support, and the plan can focus on the extension rather than starting from a blank page.
Can you guarantee the build will work as demonstrated?
No. A plan reduces the risk by naming dependencies, assumptions and checks before anyone commits budget, but a first version still has to be tested against real work. We define what a satisfactory result looks like rather than promising the demo will hold.
Tell us about your idea or prototype
Talk to CTB about the build you have in mind. An example or existing prototype gives the discussion a clear starting point.