Work on a real priority.
Agree the problem, intended outcome and a practical action or experiment during the training. Establish what evidence will show progress.
AI Skills & Adoption / Course
AI Productivity Lab for Business Teams
Redesign and test a recurring workplace task, compare the results with your current approach and leave with a workflow your team can evaluate in practice.
Duration1 day
Private cohortUp to 20 participants
Live online£1,995
BookingDates by agreement
Training is the start.
Application is where it counts.
Every course combines live learning, a practical application tool and a one-hour follow-up to review what happened when you put it to work.
Use your course-specific tool.
Use the AI task workflow and quality comparison workbook to record your starting point, actions, results, obstacles and supporting evidence while applying the learning at work.
Bring the evidence back.
Join a 60-minute live cohort follow-up, normally 30 days after training. Review results with your facilitator, work through obstacles and agree what to change next. A 7- or 15-day review can be agreed where it better fits the application.
Your practical tool
AI task workflow and quality comparison workbook — a course application workbook supplied to participants for recording implementation and review evidence.
Preview the questions worth asking before you act. The delivery workbook is provided with the course.
How application and follow-up work
The organisation provides time, relevant permissions and an owner for the agreed action. Participants capture evidence in the tool before the review. Agilinks brings facilitated reflection and focused advisory support to help interpret results and decide the next step.
One 60-minute remote follow-up per delivered cohort is included. Where a workshop already includes a one-hour follow-up, this is the same session. For the 12-week programme, the review follows programme completion and is additional to its 36 live hours. Package support allowances of eight or 16 hours remain separate; this review does not reduce them.
The review date and evidence-sharing arrangements are agreed before booking. Share approved summaries or anonymised examples; the workbook stays within your organisation unless you choose to share it. The tool is a working template, not a hosted tracking platform. Implementation is carried out by your team; technical delivery and ongoing consultancy are separately scoped. Results are reviewed honestly, including where an approach did not work.
When this is useful.
A department is spending time on repeated drafting, summarising or information preparation, but AI use is inconsistent and outputs are not checked systematically.
Who commissions this?
A department manager who owns the work and its quality standards.
Who should attend?
A departmental manager or L&D partner supporting a role-based team in operations, HR, account management or a similar business function.
Required background
Participants know their own work, have basic digital skills and can access an organisation-approved AI tool. No coding is required. Use a consistent role group; mixed needs may require a smaller cohort.
What participants will be able to do.
- Select a task and justify whether AI is appropriate.
- Construct and refine an AI-assisted workflow using approved inputs.
- Evaluate its output, record corrections and explain the human review required.
- Compare the tested approach with the existing method without overstating savings.
What your organisation takes away.
- A set of tested task workflows with worked examples and quality criteria, proportionate to cohort needs.
- A comparison record showing observed task time, output quality and human review effort during the lab.
- A sponsor summary identifying useful applications, unsuitable tasks and what requires workplace validation.
What we will work through.
One-day lab: six facilitated hours excluding breaks. Up to 20 participants where task families are consistent; the final cohort limit is agreed during scoping.
Indicative sequence and timings. The final agenda is agreed around your organisational priorities.
01Start with a recurring task 30 minutes
Identify the task, beneficiary, current approach and quality standard; capture starting confidence.
Practical output
A defined task and comparison criteria.
02Understand failure modes 45 minutes
Plausible versus accurate outputs; missing context; variability; bias; consequences of mistakes.
Practical output
Critique a deliberately flawed output.
03Select suitable work and boundaries 45 minutes
Assess information sensitivity, approved tools, impact of errors and the need for human expertise.
Practical output
Task suitability and information-handling decisions.
04Build the AI-assisted approach 60 minutes
Define objective, audience, inputs, context, constraints, examples and output format; refine instructions.
Practical output
First worked task and documented instructions.
05Evaluate quality before use 60 minutes
Check accuracy, sources, omissions, tone, numerical claims and assumptions; record corrections.
Practical output
An evaluation checklist and reviewed second task.
06Compare and refine a workflow 75 minutes
Break work into stages; test an approved role scenario; compare observed time and quality; account for review effort.
Practical output
A tested task workflow and comparison record.
07Demonstrate judgement and plan application 45 minutes
Explain accept/revise/verify/reject decisions; identify workplace validation needs and a manager check-in.
Practical output
Assessed practical task and workplace validation plan.
Connect the learning to work.
Participants demonstrate task selection, output checking and review decisions. Observed lab results are starting evidence; workplace benefits must be validated against normal working conditions.
Pre-work and preparation
Each participant identifies a recurring task and supplies an approved example. The sponsor selects priority task families; tool access is checked before the session.
What we each contribute
The sponsor confirms tools, usage boundaries and suitable examples. Participants actively test and critique outputs. Agilinks facilitates the lab, challenges weak results and provides feedback on demonstrated judgement.
A clear agreement before booking.
Includes one private live-online training day and participant working resources. Production automation, software implementation and paid tool licences are excluded.
Eligible for annual short-course agreements, within the agreed participant and cohort allowances.
Private live-online delivery. On-site arrangements, travel, substantial customisation and paid software licences are quoted separately. Applicable tax treatment, dates, session hours, final agenda, output scope and payment and cancellation terms are confirmed in your written proposal.
Discuss your needs → agreed proposal → purchase order where required → invoice and bank transfer. No payment is taken on this website.
Questions from L&D and business teams.
Can this align with our capability framework?
Yes. Share your business priorities, role expectations and existing framework during scoping. We agree the learning objectives, relevant exercises and evaluation approach in the proposal.
Is certification included?
This is an independent Agilinks offering. No external accreditation, examination or SAFe certification is included or implied.
Can you tailor the agenda?
We agree relevant examples and priorities before booking. Substantial redesign, additional outputs or implementation support are separately scoped.