You've decided to invest in AI but don't know what to commit to first.
AIadoptiontoliftyourbusiness.
Operations first, AI second. We understand people, processes, and technology. Real adoption outlasts the AI wave; the judgment beneath it outlasts the tools.
Why most AI adoption stalls.
- Online courses are too passive to force trial on real tasks.
- Big consultancies leave slides and a playbook while the day-to-day stays the same.
- IT vendors deliver tools without the business understanding and change management those tools require.
- Done-for-you firms keep the keys to the system they set up.
In every case AI is the subject. The subject should be the business.
Four modules. Real tasks. Working setups your team keeps.
Each module is a co-creation session. Participants use AI on their own approved stack and walk away with judgment and credentials.
See a module in your team's context M1 AI for Leaders
Strategic confusion, AI Act pressure, operating model, vendor choice, adoption sequencing.
AI for Leaders
Strategic confusion, AI Act pressure, operating model, vendor choice, adoption sequencing.
What's inside
- Operating model
- Vendor due diligence
- Sequencing the rollout
- Article 4 literacy
M2 AI for Doers
Practical AI literacy, prompting craft, governance, and real-task practice on participants' actual work.
AI for Doers
Practical AI literacy, prompting craft, governance, and real-task practice on participants' actual work.
What's inside
- Prompt craft
- Error recognition
- Task fit
- Working setups participants keep
M3 AI for Excel
Heavy spreadsheet pain. Inherited workbook chaos. Formula, debug, and reporting work.
AI for Excel
Heavy spreadsheet pain. Inherited workbook chaos. Formula, debug, and reporting work.
What's inside
- Formula authoring
- Debugging legacy workbooks
- Reporting layers
- Data hygiene
M4 AI for Workflows
Recurring work, agent surfaces, reusable workflows, sequential chaining. (Draft)
AI for Workflows
Recurring work, agent surfaces, reusable workflows, sequential chaining. (Draft)
What's inside
- Workflow scoping
- Agent surfaces
- Sequential chaining
- Reusability
Adoption work that doesn't fit a module.
Talk to us when one of these lines sounds familiar.
Your team is using ChatGPT in the shadows and you need a policy that fits how they actually work.
Pilots keep launching and nothing sticks.
You're choosing between centralized AI ops and a federated model.
Procurement, legal, and IT are asking AI Act questions you can't answer yet.
You have three vendor shortlists and every pitch sounds the same.
Your team finished the training and the rollout is stalling across the department.
Why you can rely on us.
We come from business operations, not from software sales.
Most AI rollouts are scoped by vendors who never learned the operation. Our roots are in management consulting and industrial operations. We size AI to where the work actually happens: people, processes, and the constraints around them.
We know what is here to stay and worth your investment.
AI moves fast. Most of it does not last six months. We have tracked enough hype cycles to separate the tools that earn their place from the ones that disappear. Your hours and budget go to the parts that stay useful.
AI skill is acquired through practice, not theory.
No deck, no course, no playbook produces a working setup on its own. Every engagement runs on your team's real tasks: the prompts they need today, the workflows they own tomorrow. Judgment is the durable layer.
How does it work.
-
Conversation
A free call. We listen for the trigger pain, sketch the scope, and tell you whether the right shape is a module, an advisory block, or neither.
30 to 45 min -
Tailored offer
A short proposal naming the engagement shape, the team, the timeline, and a pre-estimate of time saved. Quoted after discovery, never anchored before.
Within a week -
Real adoption that lasts
Live, remote engagement on your team's approved stack. One company per session; participants put AI to work on real tasks and keep the working setups when sessions end.
Engagement-bounded
What you walk away with.
Four concrete deliverables your team owns and operates after the engagement ends.
Working artifacts
Prompts, assistants, spreadsheet patterns, and small workflows your team shaped on real tasks during the engagement. They live on your accounts.
Internal capability
Judgment that outlasts the model. Scoping, error recognition, evaluation, task-fit, governance. The capability that compounds.
ROI math
Pre-estimate of time saved by role, validated through intake, sized to the work observed. Evidence, not promises.
Governance evidence
AI Act-aligned engagement record. Module-to-Article-4 cross-walk. Documentation procurement, legal, and IT can read.
Who runs LiftWork
Built and delivered by an operator.
Leonardo Dentone
- Senior Management Consultant
- Management Engineer
- AI Startup Founder
- Industrial Operations
- Business Process Optimization
About
Senior management consulting background, now running an AI adoption practice. Years inside regulated, complex operating environments where adoption either lands cleanly or does not land at all. LiftWork exists to close the gap between what AI can do and what teams can actually do with it. Works in English and Italian.
Built clean. Documented for review.
Engagements fit the compliance posture you already operate inside, and produce the evidence your DPO, IT, and procurement need.
- 01
Your data stays yours.
All work runs on your tenant, your accounts, your stack. Nothing leaves the environments your DPO already approved.
- 02
Your stack stays approved.
Off-the-shelf tools your IT already cleared. No new vendor, no shadow stack, no procurement cycle to reopen.
- 03
Your AI Act file is ready.
Per-participant credentials, attendance records, and a module-to-Article-4 cross-walk your legal team can read.
What teams ask before the call.
01 We already have Copilot / GPT licenses. Why do we need this?
Licenses don't create proficiency. Co-creation on real tasks does. We teach the judgment layer that decides when AI helps, when it hurts, and when to step back.
02 Can you just build the automation for us?
No. Done-for-you work creates dependency. Your team shapes the working setup during the engagement and keeps it. That is the point.
03 Our team is non-technical. Is this for us?
Good. The modules assume plain-language users, not developers. Operations teams, power users, and department leads are the people the work is built for.
04 Can you guarantee ROI?
We pre-estimate time saved at intake on three nominated tasks. Past pilots have freed three to five hours per person per week; we size claims to that evidence, never to a fixed number before seeing the work.
05 Compliance will block this. Article 4?
Article 4 obliges you to AI literacy training. We supply a structured evidence pack with a module-to-Article-4 cross-walk and a legal-review fast-path. Your organization remains responsible for certifying compliance.