03 Build
AI Applications & Automation
Applied AI and workflow automation, built where they remove measurable work.
The business problem
There is pressure to “do something with AI”, and a longer list of tasks the team repeats every week that nobody has costed. The two lists rarely overlap, and pilots stall because nobody defined what success would look like.
The useful question is never “where can we add AI”. It is “which of these repeated decisions is expensive, and could a machine make it well enough that a person only checks the edge cases”.
The GDS approach
Ship something solid.
We start from the work, not the technology: which repeated task is expensive, how often it happens, and what a correct outcome looks like. Then we build the smallest thing that removes it, with a human in the loop where the cost of being wrong is high — and we tell you plainly when a rules-based automation would do the job better than a model.
Capabilities
What this covers
- AI opportunity assessment and prioritisation
- LLM application development and integration
- Retrieval and knowledge-base systems
- Document and content processing pipelines
- Workflow automation and system integration
- Evaluation, guardrails and human review design
Typical deliverables
What you end up holding
- Prioritised opportunity map with effort and impact
- Working prototype on your real data
- Production integration into existing systems
- Evaluation set and quality monitoring
- Guardrails, fallback behaviour and review workflow
- Documentation and team training
Process
How the work runs
- Discover Workflow mapping and cost of the current process
- Define Success criteria, data access and constraints
- Prototype Build against real data and measure
- Develop Integrate, harden and add review paths
- Launch Rollout with monitoring
- Grow Evaluate, tune and extend
— Related work
— Next action
Need ai applications & automation?
Tell us what is happening now and what you need to be true in six months. We will come back with a route, a rough shape and an honest view of the cost.
- Based in
- Minnesota, USA
- Typical reply
- Within one business day