Cloud23 Lab
Prove what's next.
Cloud23 Lab is our applied innovation and AI-led migration engine. We co-create, test and productise agentic systems, SaaS migrations, trusted digital journeys and delivery intelligence — with a clear path to production.
From enterprise problem to production path in weeks.
Signals in — processes, data, systems, customer need
- 01
Proof
- 02
Platform
- 03
Product
- 04
Scale
Four controlled outputs. Nothing else counts.
The Lab manifesto
Innovation is only valuablewhen it moves into production.
The Cloud23 Lab is not an isolated research function. It connects strategy, engineering, design, security and commercial thinking to solve real enterprise problems. Every initiative must create client evidence, reusable capability or a scalable commercial opportunity — ideally all three.
Create consulting growth
Turn executive challenges and strategic opportunities into paid proofs, pilots, implementation programmes and managed services.
Create reusable Cloud23 IP
Develop reference architectures, industry patterns, integration frameworks, agent templates, migration accelerators and repeatable offerings.
Build tomorrow's capability
Test emerging technologies before the market demands them, and develop Cloud23 talent through real applied innovation.
These are not independent. A proof that creates client evidence usually creates reusable capability, and the capability is what makes the next engagement faster.
Four initiatives.
The Lab concentrates Cloud23's technology, industry and delivery experience into four major initiatives.
We design and prove multi-agent systems that can reason across business processes, coordinate work, interact with enterprise platforms and escalate responsibly to people.
- Agentic sales, service and operational workflows
- Multi-agent orchestration
- Human approval and escalation
- Agent evaluation and observability
- Security, identity and policy controls
- Salesforce Agentforce, AWS, Claude, Slack and Amazon Connect integration
AI-led SaaS Migration
Move to SaaS without carrying the past with you.
Cloud23's AI SDLC Migration Factory uses artificial intelligence across the migration lifecycle to understand legacy estates, extract business rules, design target architectures, generate migration assets, automate testing and support controlled transition to modern SaaS platforms.
AI accelerates the work. Experienced Cloud23 architects, engineers and security specialists remain accountable for every design decision, control and production release.
- Legacy application and portfolio discovery
- Automated code, configuration and dependency analysis
- Business-rule and process extraction
- SaaS fit-gap assessment
- Target-platform and integration architecture
- Data profiling, cleansing and migration mapping
- AI-assisted backlog, configuration and code generation
- Automated functional, regression, reconciliation and security testing
- Phased migration, parallel run, cutover and rollback planning
- Adoption telemetry and post-migration optimisation
- Legacy-to-SaaS, SaaS-to-SaaS and platform-consolidation programmes
The AI SDLC Migration Journey
Seven stages, and an estate that reorganises as you go.
- 01
Discover
Inventory applications, data, integrations, users, costs and constraints.
- 02
Decode
Extract processes, dependencies, business rules, technical debt and undocumented behaviour.
- 03
Design
Define the target SaaS platform, architecture, security model, migration waves and delivery backlog.
- 04
Generate
Accelerate mappings, configuration, integration scaffolds, test cases, documentation and migration assets.
- 05
Validate
Reconcile data and test functionality, performance, security, controls and user journeys.
- 06
Transition
Execute pilots, migration waves, controlled cutover, rollback readiness and user enablement.
- 07
Optimise
Measure adoption, service performance, cost, automation opportunities and business value.
What the client leaves with
- Current-state intelligence
- Target SaaS blueprint
- Migration roadmap and business case
- Data and integration mappings
- Automated test and evidence packs
- Controlled cutover plan
- Production implementation estimate
We bring onboarding, identity, compliance and self-service together to create digital journeys that work across regulated industries and diverse African markets.
- SME and enterprise onboarding
- KYC and reusable digital identity
- PII tokenisation and privacy-preserving integration
- Customer contactability
- Digital self-service
- Cross-border data and residency patterns
- Mobile-first and low-bandwidth experiences
We apply AI, engineering evidence and governance intelligence across the software delivery lifecycle to identify risk, improve quality and give leaders a dependable view of delivery health.
- AI-assisted requirements and architecture
- Automated technical and security reviews
- Dependency and delivery-risk intelligence
- Release-readiness scoring
- Quality and compliance evidence
- Executive delivery visibility
- AI-supported SDLC governance
A controlled path from signal to scale
Six stages. Each one ends in a decision, and stopping is a legitimate outcome.
- 01
Signal
A client challenge, market opportunity, delivery problem or emerging technology enters the Lab.
Output
Clearly stated problem and accountable sponsor - 02
Frame
Cloud23 defines the user, desired outcome, value hypothesis, constraints, data requirements and commercial path.
Output
Approved opportunity canvas - 03
Prove
A multidisciplinary squad builds a focused proof using representative or synthetic data.
Output
Working demonstration and evidence - 04
Pilot
The solution is tested with real users, enterprise controls and measurable success criteria.
Output
Validated pilot and production decision - 05
Package
Cloud23 creates the reference architecture, security pack, implementation model, pricing and reusable assets.
Output
Production-ready offering - 06
Scale
The solution transfers into a delivery programme, managed service, reusable Cloud23 product or — where appropriate — a Cloud23 Ventures opportunity.
Output
Measurable enterprise adoption
Flagship experience
One journey. An entire intelligent enterprise.
Experience how an SME can apply for a service, establish its identity, complete compliance checks, interact with intelligent agents, receive proactive support and have every decision governed, observable and auditable.
- 01Applinqbegins the onboarding journey
- 02EDITHestablishes reusable identity and trust
- 03Vorticroncoordinates agents and enterprise actions
- 04Sizaprovides continuous digital self-service
- 05Qinagoverns the delivery and operational evidence
- 06AI SDLC Migration Factorymoves existing services and legacy processes onto the modern platform
Illustrative and built on synthetic information. No client architecture or client-owned intellectual property is shown.
Choose the first step — not the final answer.
Each rung is a real commitment with a real output. You can stop after any of them.
Executive Innovation Briefing
90 minutes
A focused experience exploring relevant market shifts, demonstrations and strategic opportunities.
Start hereOpportunity Lab
One day
A facilitated working session that defines the problem, prioritises use cases and creates an initial value case.
Start hereRapid Proof
2–4 weeks
A focused engagement that proves technical feasibility and business value.
Start hereEnterprise Pilot
4–8 weeks
A pilot involving real users, realistic operating constraints and measurable outcomes.
Start hereScale Programme
Ongoing
Production implementation, migration, adoption, managed services and continuous optimisation.
Start here
More than a demonstration.
A Cloud23 Lab engagement is designed to leave the client with evidence, reusable assets and a credible production decision.
- Working proof or pilot
- Measurable business-value case
- Reference and target architecture
- Security and compliance assessment
- AI evaluation evidence where applicable
- Migration or implementation roadmap
- Delivery estimate and commercial model
- Reusable technical assets
- Production-scale recommendation
Enterprise controls
Designed for experimentation. Governed for enterprise.
The energy belongs earlier in the page. This part is deliberately ordered — these are the constraints that make an experiment safe to run against a regulated business.
- Business outcome before technology
- Synthetic data by default
- Security and privacy by design
- Human accountability for AI decisions
- Real constraints introduced early
- Architecture designed with a production path
- Open-source and licensing review
- Measurable evaluation before scale
- Clear intellectual-property ownership
Lab and Ventures
Prove it in the Lab. Grow it through the right vehicle.
Cloud23 Lab develops and validates enterprise solutions. When an idea demonstrates potential beyond a consulting engagement, Cloud23 Ventures can provide the pathway for independent growth, ecosystem participation and SME development.
- LabProves and productises.
- DeliveryImplements and scales.
- VenturesSupports independently investable opportunities.
Bring us the problem everyone else is still discussing.
We will help you frame it, prove it and determine the fastest responsible path to production.
Not ready for a Lab engagement?
Talk to Cloud23 about the problem anyway. We would rather tell you it does not need a Lab than sell you one.