Our main programme
We agree four outcomes with you before we start, each with a clear test of when it is done. Workshops, e-learning, and support are how we get there.
Agreed before we start
Four outcomes, each with a clear test of when it is done.
Delivered through
Workshops, e-learning, and support.
Complete when
Your team has all four in place.
The outcomes
What your team will have
Four outcomes, each with its own test of done. Three build the base, and the fourth is the reason for the programme.
Tools set up for your work
Claude accounts, admin roles, and settings that fit how your team works, with shared instructions, project spaces, and an AI use policy on what information may go into which AI tool.
Done when everyone works in your organisation’s account, under rules you have approved.
AI basics for everyone
Everyone learns how AI produces answers, how to write good prompts for any AI tool, how to check results, and when a person must decide. Claude users also learn its main features.
Done when the team has completed the core learning and used it in its own work.
Depth for research, writing, and data
Short, in-depth lessons for people who research, write, or analyse data: finding and checking sources, writing in your organisation’s style, and working with spreadsheets and figures.
Done when each person in those roles has applied the lessons to a real task.
The main outcome
Two to three workflows running with AI
Your key workflows, mapped step by step, each with a library of prompts, Claude skills (reusable instructions), and guides. Routine steps become partly automated; people check the important steps.
Done when the team uses each workflow in day-to-day work, it passes the agreed checks, and a named owner can maintain it.
Each workflow, from map to live use
Map
With the people who do it
Library
Prompts, Claude skills, and guides
Run
Used in day-to-day work
Check
People check the important steps
Fine-tuned in use for a set period, then handed to its owner.
The approach
How we work
Six steps, in order. Timing, and which sessions run on site or online, are agreed with you after discovery.
Discover
Discovery workshops and a short survey about how you work now, your tools, who needs what, and which workflows matter most.
Set up
We configure accounts, admin, and shared instructions with your administrator, and draft an AI use policy for you to approve.
You receive
Learn
Self-paced e-learning: short videos, each with a short guide and a practice task, chosen for each role.
You receive
Discuss
Live sessions to review what the team learned, practise on real examples, and answer questions.
Map and build
We map each workflow with the people who do it, then build and test its prompts, Claude skills, and guides.
You receive
Run and refine
A set number of check-ins over a set period of use. We fix what fails the agreed checks, then hand each workflow to its owner.
You receive
How we measure results
At discovery, we record a starting point for each workflow: how long it takes, how often it runs, and where it slows down.
At the close, we and your management review use, quality, and estimated time saved.
Deliverables
What you keep
Your Claude workspace, with admin settings configured
An AI use policy, drafted for your approval
Learning videos and short guides, yours to keep for your team’s use
Workflow maps showing where AI helps and where people check
A library of prompts, Claude skills, and guides for each workflow
A final review of use and results against the starting point
Scope
What we agree, what is not included, and your part
Agreed with you after discovery
Timing and order, which sessions are on site or online, who takes which learning path, the number of check-ins, and which workflows we cover.
Not included
Extra workflows, major rework, ongoing help-desk support, a hosted learning platform, and video updates as the tools change. These can follow as separate services.
Your part
A named coordinator, one or two AI champions to help colleagues day to day, time for the team to learn and practise, and approvals for licences and admin.
Questions
Common questions
What does outcome-based mean here?
We agree four outcomes with you before we start, each with a clear test of when it is done. The engagement is complete when your team has all four in place.
Do we have to use Claude?
The AI basics cover any AI tool, including how to write good prompts and check results. Set-up, Claude’s main features, and the workflow library are built on Claude.
How long does support last once the workflows are built?
A set number of check-ins over a set period of use, agreed with you after discovery. We fix what fails the agreed checks, then hand each workflow to its named owner.
Do we keep the learning videos?
Yes. The learning videos and short guides are yours to keep for your team’s use. A hosted learning platform and video updates as the tools change are not included, and can follow as separate services.
How do you show the programme worked?
At discovery we record a starting point for each workflow: how long it takes, how often it runs, and where it slows down. At the close we and your management review use, quality, and estimated time saved.
What do you need from us?
A named coordinator, one or two AI champions to help colleagues day to day, time for the team to learn and practise, and approvals for licences and admin.
Next step
Talk to us about AI enablement for your team
Tell us about your team and the work you want AI to help with. We will suggest how the programme fits, starting with discovery. Or email singapore@horwathhtl.com.
Prefer to start with a single workshop? See the Tech Edit LAB workshops. About the Technology Practice