AI Audit
We understand your business, tasks and data, then choose a useful starting point.
We put artificial intelligence
to work for your business.
AI opens up new possibilities. We turn them into applications that make sense for your business.
We bring together business thinking, marketing experience and technology. From strategy to implementation, with a clear scope and measurable results.
Meet DIGITALNOW +Seven disciplines.
One goal: practical value.
From idea to implementation.
Work moves forward. Automatically.
An assistant with a real job to do.
Clearer instructions. Better results.
Marketing experience. The power of AI.
Give your team new capabilities.
Your knowledge, where you need it.
Choose a scenario.
Explore the thinking behind the application.
Every collaboration starts with a specific need. We test, evaluate and expand what delivers value.
We understand your business, tasks and data, then choose a useful starting point.
We implement a focused application and test it against agreed criteria.
We improve operations, keep sources up to date and train your team.
The best starting point is a task you can describe, review and measure.
Read article +Prompt EngineeringDefine the task, data, constraints and output format before asking AI to get to work.
Read article +AI AgentsA clear purpose, reliable sources and defined limits make an assistant more useful in practice.
Read article +Prompt EngineeringAn AI tool can make a poor process faster and a good workflow more consistent
Read article +AI Knowledge SystemsAn AI assistant cannot answer consistently when internal knowledge is contradictory, outdated or scattered across files without owners
Read article +AI ConsultingAn AI demonstration usually shows a tool at its best
Read article +Need more detail about your situation?
Let's discuss what you need +Start with a specific task you want to improve. We document the goal, available data and current process, then choose a focused application that can be tested and evaluated.
Not necessarily. We review what you already use and which integrations are available. Our recommendation may build on existing systems, add an application or first improve how your data is organised.
An Audit examines opportunities and prerequisites. A Pilot tests a specific application. Support covers the agreed maintenance and development after implementation. Each phase has its own scope and deliverables.
Yes. A focused scope makes quality, cost and usefulness easier to assess. After testing, we decide whether expanding to more tasks or teams is worthwhile.
Yes. That is why we design appropriate sources, checks and human approval where needed. Every application is tested on challenging cases as well. Acceptance depends on the requirements of its intended use.
The fee reflects the scope, integrations, sources and support required. We agree the work, deliverables and cost before starting. Third-party subscriptions and usage costs are identified separately from our service fee.
We assess the task and the feasibility of implementation, regardless of company size. A small team can benefit from AI applications when the cost and support arrangements fit its needs.
Tell us what you want to improve, which tools you use and your main goal. You do not need to have chosen a solution. Our first conversation helps define a starting point and the information we will need.