WeAI · Artificial intelligence offering
AI consulting in Morocco:
from theory
to practice.
Build AI literacy in your teams, train your people, identify and prioritise the right use cases, then deploy them under responsible governance. Concrete, measurable, at your pace.
The challenge
AI is not just another technology project. It is a new way of working.
Most organisations have multiplied experiments without always capturing lasting value. The obstacle is rarely the technology: it is understanding, prioritisation and adoption by the teams.
WeAI offers a pragmatic approach in three moves: understand to decide, prove to convince, industrialise to last.
Our offering
Six building blocks to move from intent to impact.
Understand AI, without the jargon
Executive committee masterclass, business workshops, demonstrations on your own cases: everyone understands what AI can do, what it cannot, and what changes as a result.
- Executive masterclass (half-day)
- Business workshops and demonstrations
- Myths and realities
Learning paths by audience
Practical training tailored to roles: executives, managers, business teams, IT and data teams, and a network of AI champions.
- Mastering generative AI day to day
- Prompting and good practice
- Training for IT and data teams
Define and prioritise use cases
Discovery workshops, assessment of each idea on value, feasibility and risk level, then assembly of a coherent portfolio.
- Discovery workshop by business line
- Value / feasibility / risk scoring
- Business case and roadmap
Prove the value, fast
Short prototypes on real data, with success criteria defined from the outset and a clear decision on whether to scale.
- Scoping and success criteria
- Prototype and measurement
- Go / no-go decision
Industrialise and drive adoption
Integration into journeys and IT systems, change management, usage and value tracking, so that AI genuinely becomes part of daily work.
- IT systems and process integration
- Change management
- Adoption and benefits tracking
Responsible, controlled AI
Usage framework, risk management, data protection, explainability, human oversight: trust is built in by design.
- Usage charter and AI committee
- Risk, compliance, personal data
- Model review and human supervision
AI doesn’t replace judgement. It augments it.
Typical programme
First value demonstrated in 90 days.
A modular path designed to build momentum and proof before committing to heavy investment. Indicative durations, adjusted to your context.
Build literacy & frame
Executive committee masterclass, business workshops, maturity assessment (strategy, data, skills, risks) and definition of the ambition.
- Executive masterclass
- Maturity diagnostic
- Usage charter v1
Identify, prioritise & prototype
Use-case discovery with the business lines, value / feasibility / risk prioritisation, launch of 2 to 3 prototypes on real data.
- Use-case portfolio
- Business cases
- 2–3 prototypes
Prove & plan the scale-up
Measurement of results, scale-up decision, deployment roadmap, training plan and target governance.
- Value measurement
- Deployment roadmap
- Training plan & champions
Deploy & embed
Industrialisation of the selected use cases, change management, continuous tracking of benefits and risks, extension to new scopes.
- Deployment
- Adoption
- Continuous improvement
Use cases
Choose the right use cases, not every use case.
Example of a prioritisation matrix for a financial institution. Explore the use cases: each is assessed on its value, feasibility and risk level.
Illustrative positioning: it depends on your context, your data and your risk appetite.
AI literacy
What we demystify from the first workshop.
Myth
“AI is a topic for data and IT teams.”
Reality
The gains come from the business lines: they are the ones who know the processes to transform.
Myth
“We first need a major data project.”
Reality
You can start with targeted use cases and build the data foundation as you go.
Myth
“AI will replace employees.”
Reality
It relieves people of repetitive tasks and refocuses their time on advice and judgement, provided upskilling is supported.
Myth
“A proof of concept is enough to prove the value.”
Reality
Value is measured in production. A prototype without a deployment plan remains a demonstration.
AI is understood by practising it, together.
Express diagnostic
Where does your organisation stand on AI?
Six questions, two minutes. You get a first maturity level and the next step we recommend.
Your answers stay in your browser and are not transmitted.
Define your use cases
Results-driven use cases.
Every use case starts from a measurable business objective. Here are the six families in which we help you identify, prioritise and deploy your first implementations.
Put the right information, synthesised and sourced, in decision-makers' hands at the right time.
- Summaries of case files and committee papers
- Automatically annotated dashboards
- Regulatory and competitive monitoring
- Research assistant across the document base
- Support for trade-offs and prioritisation
- Weak-signal alerts
Enrich analysis with models that draw on more data, while keeping the decision in human hands.
- Risk and creditworthiness scoring
- Pre-analysis of credit files
- Customer segmentation and propensity
- Weak-signal detection
- Model explainability
- Model performance monitoring
Eliminate repetitive, low-value tasks so teams can concentrate on complex cases.
- Document extraction and classification
- Data entry and consistency checks
- Matching and reconciliations
- Automated handling of letters and emails
- Generation of minutes and reports
- Workflow orchestration with human validation
Shorten end-to-end lead times to deliver faster, fairer and more consistent responses.
- Request qualification and routing
- First-draft replies to complaints
- Accelerated case handling
- Instant self-service answers
- Proactive request tracking
- Measurement of lead times and satisfaction
Make operations more reliable through systematic controls, without weighing down customer journeys.
- Automated compliance checks (KYC, AML-CFT)
- Anomaly and fraud detection
- Data consistency verification
- Assisted second reading of documents
- Decision traceability
- Human supervision of sensitive cases
Equip advisers with a copilot that prepares, suggests and documents, for more customer time and greater relevance.
- Meeting preparation and 360° customer view
- Next-best-action suggestions
- Assistant for product and procedure questions
- Generation of meeting minutes
- Sales writing support
- Continuous coaching and upskilling
FAQ
Frequently asked questions
With AI literacy for executives and business teams, a maturity diagnostic, then prioritising a few use cases by value, feasibility and risk. Our 90-day programme aims for a first demonstrated value.
Speeding up decisions, improving analysis and scoring, automating back offices, cutting processing times and error risk, deploying augmented advisers: each use case starts from a measurable business objective.
Yes, journeys by audience: executive committee, managers and business teams, IT and data teams, AI champions. Training is hands-on and based on your own cases.
Through a usage charter, a steering committee, risk and data protection management, model explainability and human oversight of sensitive decisions.
Our typical programme aims for first demonstrated value in 90 days: build literacy and frame, prototype two to three use cases, then measure and plan for scale. Indicative durations, adjusted to your context.
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