AI IMPLEMENTATION
Set up AI for a specific task.
I set up the tools and connections for the project we agree on. I test them with examples of your work and show your team how to use them.
Discuss implementationDELIVERY
How the work goes
The work includes setup, testing, and instructions for your team.
- 01
Plan the steps
Agree what the system should do, what information it needs, and what a person must check.
- 02
Set up the tools
Configure the selected tools and connect only the information the workflow needs.
- 03
Testing against real scenarios
Test normal, incomplete, unusual, and risky cases before launch.
- 04
Write instructions and teach the team
Explain how to use the system, who looks after it, and what to do when something goes wrong.
- 05
Help your team start using it
Help the team start using the system and set up checks for problems.
INCLUDED
What we can work on
- Workflow and solution design
- Tool configuration and approved connections
- Scenario-based testing
- Documentation and operating guidance
- Team handoff and launch support
NOT INCLUDED BY DEFAULT
What’s outside the scope
- A fixed seven-day delivery promise
- Unapproved access to sensitive systems
- Legal, tax, or security certification
- Unlimited changes outside the approved scope
Scope and pricing are confirmed separately before work begins.
A GOOD FIT
What we need before starting
We need to know what the system should do, who will look after it, and which records it can use. If you need help choosing a project, start with the AI Opportunity Assessment or use the AI operations audit guide.
Before work begins
- We agree what the system should do and who will look after it
- Required systems and access are identified
- We record which data needs protection and which actions need approval
- We choose examples to test, including missing information and unusual cases
- We agree the work, timeline, price, and checks for completion in writing
DOCUMENTED WORK
Past projects
A company-wide platform migration included 83,411 messages from one inbox within the larger migration. A custom workforce operations system had processed 3,740 contractor hours at its documented checkpoint. An AI content operations system included 71 automated checks and 20 end-to-end verifications.
About these examples
These examples show what was built and checked. They do not measure financial results or promise the same results for your project.