Repetitive work absorbs skilled time
Teams compile reports, search across documents and repeat routine coordination every week.
Enterprise AI adoption · Practical AI
Turn AI into a working capability across your company.
We help business teams identify valuable opportunities, test practical workflows and build the internal capability to keep improving them.
Start with real processes. Agree on boundaries. Measure what changes.
€5,0002–3 weeksA bounded assessment, with a decision point before any next phase.
A DELIVERY TEAM BUILT AROUND YOUR WORK
Three perspectives. One practical outcome.One shared goal: practical AI in everyday processes.
- 01Business teamsPriorities · process expertise
- 02Practical AIWorkflow design · implementation
- 03IT & SecurityTools · data · controls
From access to adoption
Teams already have tasks for AI. The work is building a reliable way to improve them.
Useful adoption connects day-to-day work, employee capability and the company’s technical and governance boundaries.
Useful discoveries stay in separate teams
Employees experiment independently, while similar workflows get rebuilt and lessons remain hard to share.
Learning needs a route into daily work
Adoption grows through real processes, agreed tools, review criteria, clear ownership and follow-through.
What stays inside your company
Build a repeatable way to improve work with AI.
The work leaves teams with reviewed practices they can use, adapt and improve after the engagement.
Discuss the assessmentWorkflows
Tested steps for agreed business processes.
People
Employees who use approved tools and review the output.
Ownership
Internal champions with a defined role and escalation path.
Reusable knowledge
Workflow cards, instructions and quality criteria.
Measurement
Baselines and follow-up measures for selected processes.
Evidence from client work
Real tasks. Reported outcomes.
The examples below come from client interviews and project information. They describe specific work in those organisations; each new engagement starts with its own baseline.
Reported interview results · task-specific examples
Read the case details ShildPanel
Practical AI in production and support workflows
Interview figures from four operational examples across reporting, ERP work, competitor analysis and HR.
8 hours→15 minutes
Time reported for preparing a production report.
12 hours→30 minutes
Time reported for the ERP formula task.
7 days→Under 6 hours
Time reported for a competitor analysis.
About 30 minutes a day
Daily HR administrative time reported as released.
These task-level results are examples, not forecasts or guaranteed outcomes for another organisation.
Train-the-Trainer
Kerama Marazzi
Building internal AI trainers through Train-the-Trainer
A programme that developed internal capacity through training, mentoring and practical cases.
Read the case details4internal AI trainers prepared
70 daysof training and mentoring
50+practical cases explored
80 colleaguespotential reach
The figure of 80 describes potential reach. The case information reports a potential audience, not 80 confirmed active users.
How the work moves
From a useful experiment to an everyday business practice.
Each workflow connects a process owner, an AI step, human review and a measurable next action.
Discover opportunities
Interview process owners and employees, map recurring work, and record technical, data and governance constraints.
Build and test workflows
Work with employees on real tasks using tools and data boundaries agreed with the client.
Develop internal champions
Prepare selected employees to support colleagues, share reviewed practices and escalate issues to the right owner.
Make knowledge reusable
Document inputs, expected outputs, quality checks, owners and conditions for use.
Measure and improve
Compare agreed baseline and follow-up measures, review regular use and select the next improvement.
A continuous improvement cycle designed to operate inside the organisation.
Discover→Test→Review→Share↺
A staged route
A clear decision after every phase.
Scope, timing and investment for implementation follow the assessment and the client’s approvals.
Phase 0AI Opportunity & Readiness Assessment2–3 weeks · €5,000
Interview relevant leaders and employees, review selected processes, capture IT and Security boundaries, assess readiness and prioritise opportunities.
Typical outputs
- Opportunity Map
- Readiness & Risk
- preliminary business case
- proposed 12-month roadmap
Decision point
Decide whether to proceed, which opportunities to test and at what scale.
Phase 1Validate selected opportunitiesFirst month · scoped after assessment
Test agreed workflows with small pilot groups and compare results with the starting point. A first measurable pilot outcome can be planned around week four, subject to approvals, data access and process readiness.
Typical outputs
- Pilot evidence
- updated assumptions
- decision on the next phase
Decision point
Confirm scope and the evidence needed to continue.
Phase 2Establish repeatable adoptionMonths 2–3 · scope agreed separately
Extend validated practices, prepare internal champions and build a reviewed workflow library.
Typical outputs
- Reusable practices
- internal owners
- adoption measures
Decision point
Select teams and practices for wider use.
Phase 3Scale across functionsMonths 4–6 · scope agreed separately
Expand suitable practices with business owners and IT, then review adoption and operational effects by function.
Typical outputs
- Function-level adoption view
- updated priorities
Decision point
Choose the next areas using observed evidence.
Phase 4Build company independenceMonths 7–12 · scope agreed separately
Transfer the discovery and prioritisation method, clarify ownership and establish a routine for reviewing the workflow library.
Typical outputs
- Internal operating rhythm
- ownership
- improvement backlog
Decision point
Continue the cycle under the company’s own direction.
Illustrative example
How an Opportunity Map compares work before investment.
Illustrative examples — potential benefits and complexity are hypotheses until the assessment validates them.
| Function | Opportunity | Potential benefit | Complexity | Possible next step |
|---|---|---|---|---|
| HR | Employee policy assistant | Fewer repeated policy questions | Medium | Pilot with HR and IT review |
| Finance | Reporting preparation support | Less manual consolidation | Medium | Workflow pilot with expert review |
| Marketing | Competitor monitoring | Less manual research | Low | Employee-led test |
| Support | Ticket classification | Faster initial triage | High | Technical assessment |
| Operations | Weekly performance report | Less manual collation | Medium | Workflow pilot |
Interactive estimate
Explore the capacity a changed workflow could release.
Adjust the assumptions to see an illustrative annual capacity estimate for one workflow.
Potential capacity per year5,280 h
Illustrative labour-value equivalent€211,200
Illustrative capacity estimate. The monetary figure is a labour-value equivalent, not a forecast of savings, revenue or ROI. Actual value depends on adoption, quality, implementation and support costs, errors, and how released capacity is used.
Security, IT and governance
Adoption stays within agreed business and technical boundaries.
The assessment identifies constraints and decisions for selected workflows. The client’s authorised owners retain approval of tools, data access and controls.
Business owner
Sets the priority, process outcome and operational acceptance criteria.
IT and Security
Approve tools, access, data boundaries and technical controls.
Legal and risk owners
Review obligations and approve the applicable policy boundaries.
Practical AI
Maps workflows, documents assumptions and works to the client’s agreed review criteria.
The assessment supports internal decisions; compliance certification, security products and technical integrations require separate specialist scope.
Measurement
Measure each initiative against its own starting point.
- Time spent on a defined process
- Output quality against agreed criteria
- Regular use and rework
- Employee confidence
- Reviewed workflows in active use
The assessment agrees relevant KPIs, baselines, data sources and review methods. Targets follow from the selected process and available evidence.
A bounded first decision
AI Opportunity & Readiness Assessment
€5,0002–3 weeks
A focused assessment of selected functions and processes. The interview sample and process depth are agreed with your sponsor before work begins.
What the assessment includes
- Interviews across up to eight agreed functions, with selected leaders and employees
- A short employee survey and review of selected recurring processes
- IT, Security and governance constraints for the selected workflows
- Screening of 10–15 candidate initiatives and prioritisation of 3–5
- Opportunity Map and Readiness & Risk assessment
- Preliminary business case with explicit assumptions
- Proposed 12-month roadmap and executive decision session
Client inputs
- An executive sponsor and process owners
- Interview access and available process information
- IT and Security participation on tools, data and feasibility
- Timely feedback on assumptions and findings
The fee covers the assessment. Implementation, training, integrations and later phases receive a separate scope and agreement. The company decides whether to continue after the assessment.
Practical AI delivery teamAI strategy · workflows · adoption
Discuss the assessment
Share a little context. The fields prepare a message for WhatsApp so you can review it before sending.
LinkedIn ↗Questions leaders ask
What to expect from the first step.
Is this a training programme?
The assessment starts with business processes, readiness and constraints. Its findings can point to training, a workflow pilot, technical discovery, governance work or another next step.
Do we need to choose AI tools first?
The assessment records your current stack and IT and Security boundaries. Tool choices follow the process, risk and feasibility review.
What happens after 2–3 weeks?
You receive the assessment outputs and a decision session. Your company can continue internally or agree a separate next phase with Practical AI.
Can you guarantee savings or ROI?
The work establishes baselines, tests assumptions and records observed changes. Financial outcomes follow actual adoption, costs and measured use of released capacity.
Who owns security and compliance decisions?
Your authorised IT, Security, Legal and risk owners set and approve the applicable boundaries. Practical AI documents those decisions for the selected workflows.
Can our current AI programmes continue?
Yes. Company labs, leadership sprints and role-based programmes remain available as focused formats and supporting pages.
Start with the work
Discuss the assessment ↓Choose a first step based on the processes your teams want to improve.
A conversation can clarify the business context, functions involved and whether the assessment is a suitable first step.