We build agentic AI around a job your company already runs.

Agentic AI is software that takes an outcome you set and works through the steps toward it, pausing where a person must decide. A2FF builds agentic AI workflows on its own system, Tandra or a custom build.

Generative AI is AI that creates new content, such as text, images, audio or video, from a prompt a person writes. It learns from large amounts of existing material, then creates content from what it is given. Common examples include chatbots that write replies and tools that turn a description into an image. Agentic AI is usually built on generative AI, but it chooses and carries out job steps towards an outcome you set.

The difference is who moves the work from one step to the next. Generative AI writes or draws one piece each time a person prompts it. An agentic workflow works through the steps itself and pauses where a person must decide. A2FF builds the agentic workflow around a job your company already runs.

An AI agent is software that uses an AI model to carry out a task on its own. It reads the request, decides the next step and uses its tools, such as searching documents or filling in a form. A person sets which tools and material it may use, and when it must stop and ask.

A company is ready to start when it has a job with a set way of working, the material it needs and written rules. A2FF’s consultation checks the knowledge, rules and work records for that job before recommending a setup.

AI governance names who may use AI, which work it may handle, which records the workflow keeps and where each job needs approval. Your legal team decides which laws apply, including data protection and industry rules, so check with them which records each workflow must keep. A2FF builds workflows that keep those records.

The workflow runs on a prepared working copy of your material. It checks each request before it reaches the model and again on return, then records what each run drew on. An owner keeps each source document current. Your security team reviews the wider terms.

The cost and time of enterprise AI implementation depend mainly on the material to prepare and the teams the first workflow must serve. The consultation defines that job, and A2FF gives a price once the details are known, before any build costs begin.

Whether you need to replace a tool depends on whether it can support the first job you give to AI. A2FF’s consultation starts with your existing tools. Ask for any required change to be named before the build is priced.

Your IT team can build a workflow, but the preparation usually decides whether it works. That means choosing the first job, preparing its material and agreeing who signs off what. A2FF does that work with the people who know the job, then builds the workflow and trains your team to run it.

Companies in Hong Kong can send staff to public AI courses run by training bodies and universities, or bring in a provider for private training. Public courses suit one or two people learning the basics, while private training fits a team using AI for its own work. A2FF runs private training with or without a build, and trains the team that runs a workflow after building it.

You keep the prepared material and run records, and can export what you put in and what the workflow produced. The workflow itself runs on A2FF’s own system, Tandra or a custom build.