From AI Discovery to audit evidence.
Discover, build, deploy, control, secure, prove, report, govern: eight stages with Human Control at the centre, and evidence your board and your regulator can read.
Awaley AI Lifecycle
From idea to impact, from action to proof. Eight stages to create lasting value with AI while keeping risks, regulatory requirements and evidence under control.
AI Discovery
Identify and prioritize use cases.
Purpose
Know where AI can create value, and where it is already used, before investing.
What Awaley does
- Map opportunities and current uses, including shadow AI
- Assess value and risk
- Prioritize by business line
- Business case and roadmap
Deliverables
- AI use-case map
- Value and risk scoring
- Prioritized roadmap
Purpose
Know where AI can create value, and where it is already used, before investing.
What Awaley does
- Map opportunities and current uses, including shadow AI
- Assess value and risk
- Prioritize by business line
- Business case and roadmap
Deliverables
- AI use-case map
- Value and risk scoring
- Prioritized roadmap
Purpose
Give every agent an identity, a mission, an owner and limits before it touches a system.
What Awaley does
- Functional and technical design
- Integration with your systems
- Policies and limits for every action
- Security and ethics testing
Deliverables
- Agent profile: identity, mission, owner, risk tier
- Permissions and policies
- Test report
Purpose
Move from pilot to production step by step, with trained users and reinforced monitoring.
What Awaley does
- Pilot in a real environment
- User onboarding and training
- Reinforced monitoring
- Iterative adjustments
Deliverables
- Pilot report
- Go-live checklist
- Trained users
Purpose
Every action an agent requests is allowed, held for human approval or refused, according to your policies.
What Awaley does
- Policies and rules applied to every request
- Identity and rights management
- Human approval for sensitive actions
- Real-time monitoring and logging
Deliverables
- Decision rules: allowed, human approval, refused
- Approval workflows with named approvers
- Decision log
Purpose
Assess prompt injection, agent permissions, tool misuse and data-exfiltration risks through testing, safeguards and monitoring.
What Awaley does
- Prompt-injection testing and containment
- Agent identities and least-privilege rights
- Safeguards against tool misuse and data exfiltration
- Red teaming and continuous monitoring
Deliverables
- AI security test report
- Agent permission matrix
- Monitoring and incident playbook
Purpose
Operational records and approval evidence that can support audits, executive reporting and applicable regulatory reviews.
What Awaley does
- Operational records and decision logs
- Execution and approval evidence
- Files for auditors, regulators and executives
- Multi-jurisdiction reporting
Deliverables
- Evidence file per agent
- Approval records
- Audit-ready reports
Purpose
Give the board and the risk committee a clear view of value, risks and exceptions.
What Awaley does
- Executive dashboards
- Value and risk measurement
- Incident and exception tracking
- Strategic recommendations
Deliverables
- Board report
- Value and risk indicators
- Exceptions register
Purpose
Keep every agent owned, reviewed and improved over time, and scale what works.
What Awaley does
- AI governance and control framework
- Multi-regulatory compliance
- Continuous improvement
- Scaling to other use cases and entities
Deliverables
- AI governance framework
- Agent portfolio and lifecycle register
- Improvement plan
Three roles, never confused.
An agent is an identity, a set of rights and an attack surface.
Human Control decides what an agent is allowed to do. AI Security assesses prompt injection, agent permissions, tool misuse and data-exfiltration risks through testing, safeguards and monitoring.
Agent identities and permissions
Each agent has its own identity, least-privilege rights, rotated secrets and immediate revocation.
Prompt-injection containment
Instructions hidden in a document, an email or a web page are screened, isolated and logged, with safeguards designed to keep them from being executed.
AI security testing
Red teaming of agents before production, business-abuse scenarios, measurement of data leaks and bypasses.
Model supply chain
Provenance of models, tools and connectors; AI subcontractors included in third-party risk.
Data and secrets
What the agent sees, keeps and passes on: classification, masking, no exports outside the perimeter.
Evidence for the board and the auditor
Agent register, operational records, approval evidence, AI incidents and tests: material that can support audits, executive reporting and applicable regulatory reviews.
4 AI agent families. 100 identified use cases.
BANKIA, ASSURIA, TELIA and CIVIA address business needs across banking, insurance, telecoms and public services. The catalogue lists identified use cases; selected demonstrators illustrate controlled agent behaviour using synthetic data. Development and deployment depend on each client’s requirements.
BANKIA
Banking & fintech
25 identified use cases
ASSURIA
Insurance
25 identified use cases
TELIA
Telecoms
25 identified use cases
CIVIA
Public sector
25 identified use casesBANKIA — Banking & fintech family
- Identified
- Demonstrator
- Pilot
- Production
A decision feed, as an auditor would read it.
Two products, one standard of proof.
REGULEX
A single matrix for CBUAE, BCEAO, COBAC and CIMA obligations and those of the Indian Ocean central banks; your critical suppliers assessed, contracted and monitored; a dated, searchable regulatory base.
Awaley ONE
ONE for one minute: each capsule covers a single situation, from everyday cases to advanced ones, with a level that rises week after week. Learn, practise, prove: results become attestations in the format the regulator expects.