Custom AI Development
A real problem.
A considered AI solution.
Build an AI tool around a specific workflow. We check what existing products can already do before building anything, then plan the first version, its connections to your systems and who owns it after launch.
Feasibility and design / Prototype and integration / Evaluation and ownership
Somerset West, Cape Town Working globally
A few of the brands we’ve worked with
A useful reason to build
Solve a real workflow.
Make the approach fit.
We build custom only when off-the-shelf tools can’t do the job. The job also has to be specific enough to explain, test and hand over to the people who will use it.
We start there, then assess the data, models, system connections and responsibilities that a useful solution would require.
Define a considered development path
From feasibility
to a useful first version.
The scope may begin with feasibility or a prototype before moving into development. Decisions about integration and release follow the requirements and evidence gathered through evaluation.
01
Discovery and feasibility
We define the workflow, data and desired output with your team, confirm AI is the right fit and set out what the first version needs to prove.
Use-case brief / Data and feasibility review / Initial evaluation criteria
02
Solution design
We compare existing models, services and custom components against the agreed requirements. The design considers how people will use the tool, where information comes from and the operational constraints around it.
Approach comparison / Solution outline / Integration and ownership requirements
03
Prototype and integration
We develop the agreed first version and connect the systems included in its scope. Evaluation uses relevant tasks and failure cases so the work can be assessed against real requirements.
Scoped prototype or tool / Agreed system connections / Task-based evaluation
04
Release and support
We agree the conditions for release, human oversight and continuing support. Responsibilities for monitoring and changes remain clear, including dependencies on the models, services and systems used by the solution.
Release criteria / Oversight and monitoring / Support responsibilities
Working together
A clear way
to work together.
The workflow owner and technical stakeholders help define the problem and judge the result. We use that shared understanding to make the next development decision.
01
Understand the context
Discuss the workflow, existing products, source information and the people who need to use the result.
02
Plan the project
Agree the first phase, technical dependencies, evaluation approach and responsibility for decisions.
03
Build together
Develop and evaluate the scoped solution, reviewing the output and system behaviour with your team.
04
Review what comes next
Review what the first phase proved and agree the next step: further development or release.
The wider picture
Connect the plan
to the work.
A custom AI tool may connect to a website, application or marketing workflow. Ongoing support can coordinate the surrounding systems and content, with the tool’s monitoring and maintenance responsibilities defined in its own scope.
Explore related services
Define the problem worth solving
What would a custom tool
need to make easier?
Tell us about the workflow, data and people involved. We’ll tell you whether custom development makes sense and what a first phase would prove.
A 30-minute conversation to explore your priorities and agree the next step. No finished brief needed.