AI & INNOVATION · APPLIED INTELLIGENCE

Put AI to work on a real business problem

Explore how AI can help your team find information, handle repetitive tasks, and deliver more useful digital experiences.

Absolute Vertex helps turn AI possibilities into practical projects, starting with your business needs and a clear way to evaluate success.

Explore Your AI Use Case

THE PURPOSE BEHIND THE WORK

Start with a useful question

Where does your team spend time repeating work? What information is difficult to find? Which customer interactions could be easier?

These questions help identify where AI may add value—and what needs to be tested before you invest further.

EXPLORE THE POSSIBILITIES

Choose a task.
See the shape of a pilot.

The useful question is what AI should help someone do. Explore three bounded examples, from input to human evaluation.

ILLUSTRATIVE WORKFLOW · NO LIVE AI REQUEST

01 / APPROVED INPUT

Approved documents and a defined set of questions.

02 / ASSISTED TASK

Find relevant information and prepare a source-linked draft answer.

03 / HUMAN EVALUATION

Check source relevance, factual accuracy, access permissions, and cases with no reliable answer.

THE BUILDING BLOCKS

Our AI & innovation services

MODULE / 01

AI opportunity assessment

Review your workflows, available data, and objectives to identify suitable use cases and potential limitations.

MODULE / 02

AI assistants and chatbots

Explore assistants that help customers or employees navigate information and complete defined tasks.

MODULE / 03

Knowledge search

Make approved business information easier to find through AI-assisted search and question answering.

MODULE / 04

Document and workflow assistance

Support tasks such as extracting information, organising documents, and preparing summaries for review.

MODULE / 05

AI integration

Connect suitable AI capabilities with your website, app, or existing business tools.

MODULE / 06

Proof-of-concept development

Test a focused idea with representative examples before deciding whether to expand it.

EVIDENCE BEFORE EXPANSION

From an idea to evidence

01
Choose a use case
Define the task and the people who will use the solution.
02
Assess readiness
Review data access, information quality, privacy needs, and integration requirements.
03
Build a pilot
Test the approach on a manageable scope.
04
Evaluate
Assess output quality, time saved, operating cost, and failure cases.
05
Plan the next stage
Refine, expand, or reconsider based on the results.

DEFINE WHAT GOOD LOOKS LIKE

A pilot needs
a decision at the end.

Agree on a baseline and review representative examples. A convincing demonstration is a starting point for evaluation.

Output quality

Are responses accurate, relevant, and grounded in the approved information?

Human effort

Does reviewing and correcting the output make the task easier overall?

Operating cost

What does the workflow cost to run, maintain, and support?

Failure cases

When should the solution ask for help, decline a task, or return to a person?

USE THE EVIDENCE TOExpand/Refine/Reconsider

HUMAN OVERSIGHT BY DESIGN

Build with clear boundaries

AI output can be inaccurate. A useful solution needs appropriate access controls, testing, and human review for important decisions.

We consider those requirements alongside the user experience, so the project has a clear role within your business.

BEFORE THE FIRST PILOT

The right foundations
make testing meaningful.

A named task and owner

Identify the person responsible for the workflow and the task the pilot should help them complete.

Approved information

Confirm which data can be used, who may access it, and what must remain outside the solution.

Representative examples

Include ordinary cases, unusual inputs, and known failure scenarios in the evaluation set.

A clear review process

Agree who checks outputs and what happens when the system is uncertain or incorrect.

A LITTLE MORE CLARITY

Your questions.
Thoughtful answers.

Talk through your requirements

Does my business need a large dataset to use AI?

Not always. Some projects can use existing models and approved documents. Others require substantial historical data. The use case determines what is needed.

Can AI work with our current software?

Integration may be possible where the software offers suitable access methods. Feasibility depends on the system, permissions, and workflow.

How do we know whether an AI project is worthwhile?

Agree on a baseline and success criteria before the pilot. Compare the solution’s quality, time requirements, and operating cost with the current process.

READ. CONSIDER. BUILD.