Manual usage
Employees use AI as a separate tab instead of a working layer inside the job. The task still waits for the same handoffs, the same approvals, and the same rework.
AI Training
Teach your team to think in AI, not chase the tool of the month.
AI is already table stakes. The durable advantage is a team that can break work into prompts, workflows, review gates, and reusable operating habits.
Tools change every quarter. Process compounds. Nuvelo trains your team on the AI operating process they can reuse across ChatGPT, Claude, Gemini, Microsoft Copilot, internal agents, and whatever arrives next.
Curriculum preview
Process, not tools- 01LiteracyAI role map
- 02Prompt processPrompt process card
- 03Workflow integrationWorkflow sheet
- 04Agent designBuild log
- 05Operating modelRetention ledger
- 01LiteracyAI role map
- 02Prompt processPrompt process card
- 03Workflow integrationWorkflow sheet
- 04Agent designBuild log
- 05Operating modelRetention ledger
Five stations. One repeatable process your team can use after the tools change.
The current problem
Your team is using AI manually, inconsistently, and without retention.
Most teams already have access to AI. They paste into a chat window, get one useful answer, and then return to the same workflow they used before.
No retention
A workshop creates excitement for a week. Without reusable prompts, workflow artifacts, and operator ownership, the new behavior fades before the business can measure it.
Tool churn
Teams learn a button, a feature, or a demo. The tool changes, the prompt habit breaks, and the business pays for another round of basic training.
Nuvelo trains the process beneath the tool, so the team can keep improving after the model, interface, or vendor changes.
Why process wins
Tool training decays. Process training compounds.
The goal is not to memorize where a feature lives. The goal is to teach people how to translate work into AI-assisted steps that can be repeated, reviewed, measured, and improved.
Two ways to train a team
Tool training
Decays when the interface changes.
- The session teaches features, menus, and one-off examples.
- Participants leave with screenshots instead of operating artifacts.
- Prompt quality depends on the individual employee.
- Managers cannot see whether the new behavior survived.
- The business repeats the same training when the tool changes.
Process training
Compounds as the team reuses the method.
- The session teaches how to classify work, assign AI roles, and define review gates.
- Participants leave with workflow sheets, role maps, and reusable prompt libraries.
- Prompt quality improves because the team uses a shared standard.
- Managers can measure adoption, hours saved, and 90-day retention.
- The process transfers across tools because the thinking is durable.
Process layer
Input
AI role
prompt process
human review
system update
measurement
- 01Input
- 02AI role
- 03prompt process
- 04human review
- 05system update
- 06measurement
The engagement succeeds when trained workflows are still being used 90 days later.
The curriculum
Five stations that turn AI access into an operating capability.
Each station ships an artifact the team can keep using. The artifacts matter because AI behavior only sticks when the work has a place to live after the session ends.
Literacy
The team learns what AI can do, what it should not do, and where it belongs inside the business.
- Classify current tasks as deterministic, probabilistic, or human-owned.
- Identify which roles are already exposed to AI competitors.
- Separate useful AI work from novelty demos.
- Establish shared vocabulary for prompts, context, review, and risk.
Artifact
AI role map
A function-by-function map showing where AI should assist, where automation should handle deterministic work, and where human judgement must remain explicit.
Prompt process
The team learns a repeatable prompt process instead of memorizing isolated prompt examples.
- Define role, task, context, constraints, examples, output format, and review criteria.
- Rewrite weak prompts into reusable working prompts.
- Build prompt patterns for research, synthesis, drafting, critique, and decision support.
- Store approved prompts in the company's operating home, not in private chat histories.
Artifact
Prompt process card
A reusable standard for writing and reviewing prompts across tools, teams, and functions.
Workflow integration
The team moves from isolated prompts to AI-assisted workflows that fit inside the daily work.
- Map the current workflow from request to output.
- Insert AI where it removes time without removing accountability.
- Define approval gates, escalation points, and system updates.
- Turn one useful prompt into a repeatable workflow with an owner.
Artifact
Workflow deployment sheet
A one-page operating sheet that records the workflow owner, AI step, human review gate, system of record, adoption metric, and retention check.
Agent design
Senior operators learn how to design agent-assisted work without turning every task into an overbuilt automation project.
- Decide when a prompt is enough and when an agent is justified.
- Define agent inputs, tools, memory boundaries, and approval gates.
- Create build logs so agent behavior can be inspected and improved.
- Protect the business from brittle systems that nobody owns.
Artifact
Operator build log
A build record that explains what the agent does, what data it uses, when a human approves the output, and who maintains it.
Operating model
Managers learn how to keep AI workflows alive after the first training wave.
- Assign workflow owners and review cadence.
- Track adoption, time saved, quality, and exceptions.
- Promote trained leaders who can coach the next wave.
- Decide which workflows move into automation, agent support, or a retainer.
Artifact
Retention ledger
A measurement ledger that records which workflows survived, which ones failed, why they failed, and what gets improved next.
Training should leave evidence behind.
Every station produces an operating artifact. That is how the business knows the training became work, not a motivational session.
Measurement
Every engagement is measured against adoption, savings, and retained behavior.
Nuvelo does not count attendance as success. The engagement is measured by what the team keeps using after the session.
Hours saved
Time returned to the function
Each deployed workflow records the baseline time, the trained workflow time, and the weekly usage volume so the business can see where hours were actually removed.
Adoption
Who is using the new workflow
The team tracks which participants use the workflow, which managers reinforce it, and which handoffs still pull people back to the old process.
90 days
Workflow retention
The retention check shows which workflows survived beyond the first enthusiasm cycle and which need redesign, simplification, or stronger ownership.
Leaders
Promotion of trained operators
Senior operators who can teach the process become internal multipliers. Nuvelo tracks where trained leaders take ownership of the next workflows.
The measure is not whether the team enjoyed the session. The measure is whether the business works differently after 90 days.
Operator experience and credentials
Hassan AlSakakini
Founder and operator
P&G
2009-2014
Commercial leadership
Nestle
2014-2017
Regional executive
Amazon Prime Video MENA
2017-2020
Head of territory
Arla Foods KSA
2020-2024
Managing Director
0+
Years senior operator experience
0
Markets across MENA and Europe
0
Largest team managed
$0M
P&L responsibility up to
Pricing
Training tiers
Pricing stays tied to team size, depth, and the amount of retained workflow support required after the session.
The first engagement can be a literacy kickoff, a function-specific workflow day, a senior-operator intensive, or a retention retainer. The right entry point depends on how much AI access the team already has and how much operating change leadership is ready to enforce.
AI Training tiers
Level 1 Literacy (<=25)
Up to 25 people
LISTAED 15,000 to 25,000
FOUNDINGAED 10,000
Level 1 Literacy (25-50)
25 to 50 people
LISTAED 30,000 to 45,000
FOUNDINGAED 18,000
Level 1 Literacy (50-100)
50 to 100 people
LISTAED 50,000 to 75,000
FOUNDINGAED 30,000
Level 2 Chat + Cowork (<=10)
Up to 10 participants
LISTAED 35,000 to 55,000
FOUNDINGAED 20,000
Level 2 Chat + Cowork (11-25)
11 to 25 participants
LISTAED 60,000 to 90,000
FOUNDINGAED 35,000
Level 3 Claude Code Intensive
4-5 day builder intensive for 2-5 senior operators
LISTAED 55,000 to 130,000
FOUNDINGAED 40,000
Refresh retainer
Monthly refresh + prompt library
LISTAED 8,000/mo
FOUNDINGAED 8,000/mo
Active retainer
Workflow maintenance + new use cases
LISTAED 25,000/mo
FOUNDINGAED 25,000/mo
Transformation retainer
Embedded operator, multi-function cadence
LISTAED 65,000/mo
FOUNDINGAED 65,000/mo
Prices are VAT-exclusive. 5 percent UAE VAT is added once Nuvelo crosses the AED 375,000 threshold.
Questions
AI Training FAQ
It means the team learns a repeatable operating process for AI-assisted work. They learn how to classify work, write durable prompts, define review gates, place AI inside workflows, and measure whether the behavior survives after training.
The training can use whichever tools your company allows, but the curriculum is not built around one vendor. Tools change quickly. The durable value is the process your team can transfer across tools.
Most workshops teach concepts and examples. Nuvelo training produces operating artifacts: AI role maps, prompt standards, workflow deployment sheets, operator build logs, and retention ledgers.
Yes. That is the point. The engagement is scoped around your functions and your workflows. A DPA is signed before sensitive data is used.
Start with the function where repetitive knowledge work is creating the most pressure. Sales, customer service, marketing, finance, operations, HR, and legal are all valid starting points.
The team receives the artifacts, the prompt library, and the measurement plan. Retainer options keep workflows alive through review, prompt maintenance, new use-case discovery, and operator coaching.
Yes. Sessions can be delivered in English, Arabic, or a mixed format, and prompt libraries can support both languages.
The smallest recommended engagement is the Level 1 Literacy kickoff for up to 25 people. Smaller needs should start with a consultation so Nuvelo can recommend whether training is necessary.
Next step
Start with the workflow your team repeats every week.
Bring the work your team already does manually. Nuvelo will map where AI belongs, which process your team needs to learn, and what evidence would prove the training worked.
SCOPED
NUVELO TRAINING SCOPE
| Function under pressure | Sales follow-up |
| Current manual workflow | Manual qualification drains 14 hours per rep |
| Tool access and data limits | ChatGPT Enterprise, CRM read-only |
| Training station needed first | Level 2 Prompt process + Workflow integration |
| 90-day retention metric | Hours saved per rep per week |
SCOPED / 30 min call / binding spec follows