Cloud · SaaS · AI · Data
A cloud and SaaS consultancy for mid-market and enterprise organisations. We modernise legacy systems, integrate the platforms around them, automate manual work, and run cloud environments that stay reliable and cost-efficient.
The starting point
Companies rarely call us about a single failure. They call because the estate has become expensive to change. Four patterns account for most of it.
Changes that should take weeks are quoted in quarters, and fewer people each year understand how the system works.
What we do:We establish what the system must keep doing, then replace it in stages that each deliver value on their own.
Each platform holds part of the picture, so reconciling them becomes a recurring cost rather than a one-off project.
What we do:We define system boundaries and a source of truth for each record, then build the integration layer to match.
Staff re-key data between systems and month-end depends on spreadsheets, so cost rises with volume rather than with revenue.
What we do:We map the process, quantify the effort, and automate the rules-based and document-driven steps.
Spend grows faster than usage, reporting is slow to produce, and neither traces back to a clear owner.
What we do:We make cost and data ownership visible, consolidate what has sprawled, and establish the practice that keeps it that way.
Addressing them in the wrong order wastes budget. Most of our work is establishing the sequence — which change makes the next one cheaper, and which can safely wait.
Solutions by outcome
Six outcomes cover most of what companies come to us for. Each maps to specific engineering work, but the conversation starts with the result.
How we work
The five stages below apply to every engagement. How long each takes depends on the state of the estate and the decisions already made.
Understand the business goals, the constraints, and the technology estate as it actually is — not as the documentation describes it.
Agree the target architecture and a sequenced roadmap, with costs, dependencies and decision points made explicit.
Implement, integrate or modernise in increments, with working software and a clear definition of done at each step.
Measure performance, reliability and cost against the goals set in discovery, and act on what the measurements show.
Continue to adapt the estate as the business changes — either alongside your team, or as a managed service.
Services
Most clients start in one area and expand as trust builds. The practices are designed to work together rather than as separate silos.
Industries
The regulatory context and vocabulary change. The underlying work — modernise, integrate, automate, optimise — travels well between them.
Change delivered without failing an audit
Modernising core systems under regulatory scrutiny, where change control and auditability are non-negotiable.
Systems that share data without exposing it
Connecting clinical, administrative and billing systems while treating patient data with appropriate care.
Production reality visible to the people deciding
Bridging operational technology and business systems so production data reaches the people making decisions.
Peak demand absorbed without over-provisioning
Handling demand that arrives in spikes, across channels that each hold a fragment of the customer picture.
Billable time and delivery in one picture
Turning billable time, project delivery and client data into a single operating picture.
Exceptions surfaced before they compound
Coordinating movement across partners, systems and borders, where delay compounds quickly.
Cost per customer that falls as you grow
Helping software businesses scale their own platform, delivery process and cloud economics.
Foundations that survive the next funding stage
Building foundations that survive the next funding stage without over-engineering for scale that has not arrived.
Why CloudMystic
CloudMystic is a new firm, and we are direct about that. What follows is how we work — not a claim about size or history.
Every recommendation ties to a business goal you named. If we cannot connect a piece of work to an outcome, we will say so rather than build it.
We design for managed services, automation and elasticity from the outset — rather than lifting existing infrastructure into a more expensive location.
AI and emerging technology are applied where they remove real work. We are equally willing to tell you a simpler solution is the right one.
Documentation, architecture decision records and handover are part of delivery, not a final invoice item. Your team should be able to run what we build.
Work is scoped in increments with a defined result, so progress is visible and the engagement can be adjusted as priorities move.
We choose the least complex architecture that meets the requirement, because complexity is a cost your team pays for years afterwards.
Technology ecosystem
Estate design, migration and operations across the major providers.
Selection, implementation and integration of business platforms.
Warehouses, pipelines and the reporting layer above them.
The delivery stack that gets software into production safely.
Applied intelligence with evaluation and guardrails designed in.
These are technologies we work with. They are not partnership or certification claims.
Client work
CloudMystic is a new firm. Rather than publish invented results, we are showing the engagement types we take on. Named client stories will appear here as work completes and clients consent to being referenced.
A business-critical application that is expensive to change, difficult to staff, and approaching the end of vendor support.
A platform rollout that has slipped, over-run, or gone live without the adoption and integration it needed.
Cloud spend growing faster than usage, with no clear attribution of cost to teams, products or workloads.
Insights
Practical analysis of the choices that shape a technology estate, written for the people responsible for making them.
Line items map to design decisions. Reading the invoice as a diagram is often the fastest way to find what needs to change.
Publishing soonWeighted feature matrices reward vendors who are good at filling in matrices. What to evaluate instead.
Publishing soonVolume, tolerance for error, and who reviews the output. Most stalled AI pilots fail one of the three.
Publishing soonThe first articles are in preparation. To be notified when they publish, get in touch.
Tell us about your cloud, SaaS or technology challenge. We will tell you honestly whether we are the right people for it — and if not, what we would do in your position.
No obligation, and nothing is sold on the first call. Prefer email? meghana@cloudmystic.tech