About
An engineering consultancy, not an AI agency.
Cloud Consulting Group helps organisations turn cloud and artificial intelligence into secure, reliable and valuable production systems.
We work across strategy, architecture and implementation, combining AWS expertise with modern DevOps, platform engineering and agentic AI capabilities. That range matters: an AI system that cannot be deployed safely, observed in production or afforded at scale is not finished, whatever the demo showed.
Most of our work starts where an experiment has stalled — a proof of concept that will not survive a security review, a cloud estate nobody can fully explain, or a process that still depends on someone copying data between systems. We are comfortable saying when a problem does not need AI at all.
We are based in South Africa and work with clients across the continent and internationally. Engagements are structured so that what we build can be operated by your team after we leave: infrastructure defined in code, decisions written down, and handover treated as a deliverable rather than a final email.
How we work
Six stages, and what actually happens in each.
The same shape runs on every engagement, scaled to its size. Success measures are agreed during discovery so there is something concrete to validate against later.
- 01
Discover
Understand the business problem, the systems around it, the data available and what success would look like.
- Stakeholder and user interviews
- System, data and integration review
- Risk, security and compliance constraints
- Success measures agreed before design starts
- 02
Design
Define the architecture, security model and implementation roadmap, and record the decisions behind them.
- Target architecture and data flows
- Security, identity and permission model
- Architecture decision records
- Delivery roadmap sequenced by dependency and risk
- 03
Build
Develop the platform, application, agent workflow and integrations in short iterations with working software at each step.
- Infrastructure as Code from the first environment
- Iterative delivery with regular demonstrations
- Integration work against real systems, not mocks, as early as practical
- Documentation written alongside the code
- 04
Validate
Test functionality, security, reliability, model behaviour and agent actions against the measures agreed at the start.
- Automated test and evaluation suites
- Security review and permission verification
- Load, failure and recovery testing
- Operational readiness review
- 05
Launch
Deploy with monitoring, documentation and knowledge transfer, using a controlled rollout rather than a switch.
- Progressive rollout behind flags where appropriate
- Dashboards, alerts and on-call routing in place
- Runbooks and escalation paths handed over
- Working sessions with the team who will own it
- 06
Improve
Use operational data, evaluation results and user feedback to improve performance, cost and business value.
- Evaluation scores tracked over time
- Cost and usage review against the original model
- Backlog shaped by what production actually shows
- Scope widened only once the current scope is stable
Engineering practice
AI innovation backed by disciplined engineering.
The interesting part of an AI system is rarely the model. It is everything around it that determines whether the thing can be trusted, changed and afforded a year after launch.
Security by design
Identity, permissions and data boundaries are decided during design, not retrofitted after a review.
Infrastructure as Code
Every environment is defined in source and rebuilt from it. Manual console changes are treated as drift.
Automated testing and delivery
Build, test, scan and deploy run without manual steps, with rollback as a first-class path.
Model and agent evaluation
Quality is measured against a golden dataset and gates releases the way any other test does.
Observability
Metrics, structured logs and distributed traces cover model calls and tool calls alongside ordinary requests.
Least-privilege access
Short-lived, workload-scoped credentials. An agent holds its own permissions, not the application's.
Human-in-the-loop controls
Irreversible or high-value actions pause for approval, and the approval is recorded against the step.
Resilient architecture
Failure modes are designed for: timeouts, retries with backoff, deterministic fallbacks and graceful degradation.
Cost monitoring
Spend is instrumented per feature and per workflow from the first deployment, not reconstructed later.
Documentation and knowledge transfer
Architecture decision records, runbooks and working sessions are deliverables, not optional extras.
Responsible AI
Data handling, refusal behaviour and failure modes are reviewed before launch and monitored after it.
Vendor-aware architecture
Managed services where they reduce work; interfaces at the boundaries so a provider choice stays reversible.
What Our Clients Say
Real stories from teams we've helped succeed in the cloud.
"Working with them was a game-changer. Our migration to AWS was flawless, and we saw a 40% reduction in costs within the first quarter. Their DevOps expertise has revolutionised our deployment process."
Nsuku Mathebula
CTO, ASW Tutors
"The platform engineering team built us an internal developer platform that has cut developer onboarding time by 80%. We're shipping features faster than ever before."
Nsuku Mathebula
Head of Engineering, Tech With Manny
"Their security audit and remediation plan were incredibly thorough. We're now confident in our compliance posture and have a clear roadmap for continuous improvement."
Bornagain Mathebula
Managing Partner, BMathebula Law Firm
"We finally have observability that developers actually use. MTTR is down 55% and on-call is far calmer."
Priya Desai
Director of Engineering, Study Verse
"The team's expertise in cloud architecture transformed our business. We're now able to scale effortlessly and focus on what matters most — our customers."
Zika Mabunda
Managing Partner, Philness Accounting
Tell us what you are trying to build.
A first conversation is enough for us to say whether we can help, what it would take, and whether there is a cheaper way to get the same outcome.
Book a Strategy Session