DataCloudAI
Tell us the problem in a few lines. We’ll set up a short call and suggest the smallest first step that would help.
30+ years
Led by a Principal Data Architect
Years designing, modernizing and supporting the data and applications businesses depend on.
Meet the Frogstone frog
Jump to a chapter
0:00 Hi! I’m the Frogstone frog. Frogs like me adapt to change and know when to leap. But every leap needs a solid place to land. At Frogstone Solutions, we build that foundation for your data, cloud and AI.
0:15 Most enterprise data is trapped inside the applications that created it. We set it free, with a governed data layer that securely serves your applications, analytics, copilots and AI agents.
0:28 Most engagements start with our Data + Cloud + AI Readiness Assessment. It’s fixed-fee and takes 7–10 business days. You get an executive scorecard, a target architecture, a roadmap, and a recommended plan for Phase II.
0:44 In Phase II, we do the work. We modernize SQL Server, Oracle, PostgreSQL and other data estates for the cloud, and turn your data into governed, reusable data products and APIs, ready for AI.
0:58 Need a problem solved now? We take on performance tuning, high availability, migrations, security and data pipelines. Or keep a fractional architect, DBA or DevOps engineer on retainer.
1:11 We’re led by a Principal Data Architect with more than 30 years of experience. Book your readiness assessment at frogstonesolutions.com. We build the stone. You make the leap!
Start wherever you are
Each is scoped in writing and leaves you with something useful, whether or not we do the next step.
Sound familiar?
These are the problems on IT and operations leaders’ desks right now, starting with data and AI. Each one has a Frogstone answer, from a quick fix to a full modernization program.
Without a ranked list of use cases and an honest look at the data behind each one, AI budgets end up funding demos. Pilots stall on the data, not the model.
How we helpThe readiness assessment ranks your AI use cases by value and feasibility. For a stalled pilot, we review its data, access and quality, then build the governed data and secure access it needs to go live.
When every team or site calculates the numbers its own way, meetings turn into debates about whose report is right, and a company-wide view takes spreadsheets and late nights. An AI assistant simply picks one.
How we helpWe agree the business definitions, connect the systems you keep, reconcile the codes that don’t match and build one governed data product behind them, so reports and AI point at the same numbers.
Blocking, missing indexes and aging hardware turn into missed deadlines. When a pipeline breaks, reports and downstream systems run on stale or missing data.
How we helpWe find and fix the bottlenecks, size capacity for growth, and rebuild failing pipelines with monitoring and error handling so reports run on complete, on-time data.
SQL Server 2016 has already reached end of support, and Windows Server 2016 is next. Without support, the security fixes stop.
How we helpWe plan and run the upgrade or the move to the cloud, with minimal downtime and a tested rollback.
Migrations and upgradesMoving off VMware is a big project, and the databases are the riskiest part to move.
How we helpWe plan the exit and move your database workloads to the cloud or the platform you choose, with failover and rollback built in.
Cloud modernization in Phase IIOversized servers, idle environments and new AI workloads add up quickly.
How we helpWe find the waste, right-size your data platform and licensing, and put cost governance in place.
Start with the readiness assessmentAttackers increasingly go after backups too, and a recovery plan nobody has tested is only a guess. Auditors, customers and your own AI tools also need a clear answer on who can see what.
How we helpWe build high availability and disaster recovery to your recovery targets and prove it with failover and restore tests, then lock down access with least-privilege roles, encryption and auditing you can show to auditors.
Manual steps get skipped under pressure, and small risks like full disks, failed jobs and untested backups grow into outages.
How we helpWe automate maintenance, backups and deployments, and run health checks that catch risks before they cause an outage.
Automation and DevOpsDon’t see your problem, or see several? Talk it through with us and we’ll help you decide where to start.
Request a discovery callApplication-independent data architecture
Most enterprise data is locked inside the applications and databases that created it, so every new report, integration or AI project has to pry it loose again. We build a governed data layer, one data product at a time, that can securely serve applications, analytics, APIs, Databricks, copilots and AI agents. Whatever brings you to us, we leave your data a step closer to it.
Trapped in applications today
Governed data layer
Security and governance
Serving, securely
Illustrative example
A composite scenario that shows how the approach works. It doesn’t describe a specific client.
The ERP, warehouse and plant systems each show a different quantity on hand, so staff reconcile spreadsheets to answer simple questions.
Connect the agreed sources, reconcile product identifiers, define availability once and settle who owns it and who can see it.
A governed inventory dataset behind an operational dashboard or API, measured by reconciliation time, data freshness and discrepancy rate.
An assistant answers inventory questions with the same definitions, limited to what each person is approved to see.
Replace or upgrade a system and update its mappings, while reports, integrations and AI keep reading the same governed data.
Security rules, quality checks and business definitions live in one place and travel with each data product.
Copilots and AI agents work from governed data with approved access, instead of ungoverned copies.
A governed layer is maintained, not set and forgotten: mappings, pipelines and access policies are kept current as your systems change, by your team, by us on retainer, or both.
Track record
Work delivered by our Founder as a consultant and in architecture roles. Past clients are described by industry and scale rather than named.
Industries served
Disciplines
Flagship engagement
A fixed-fee assessment that settles what to do first. In 7–10 business days, leadership gets clear answers on where data and AI will pay off, what stands in the way and what to do in the next 90 days.
Data estate
Sources, quality, lineage, ownership
Cloud readiness
Architecture, cost, security, operations
AI readiness
Use cases, data access, governance, skills
Data independence
Application coupling, shared access, APIs
Sample layout. Your scores come from your own interviews and platform review, and they become the baseline we measure progress against.
Answers leadership can act on, backed by the full report
It’s written so your own team, another provider or Frogstone can carry it out. If you want our help, the usual next step is one governed data product, then a Phase II program once the first results hold up.
Start small
Pick one question the business can’t answer reliably today. We deliver one trusted dataset behind it, put it to work in a dashboard, an API or an AI assistant, and measure the result before anything expands.
The question, the sources, the definitions and who will use the result, in writing, along with what’s out of scope.
Bring the agreed sources together and reconcile the identifiers and codes that don’t match.
Write the business definitions down, add quality checks and name the person accountable for the data.
Set role-based access and put the data in front of the people and tools that will use it.
Compare the agreed measures before and after, then decide together what, if anything, comes next.
Agree what the key numbers mean, then measure the data against those definitions and fix the gaps that matter most.
Check a pilot’s data access, permissions, quality and evaluation before it goes live, with a list of what to fix first.
Organize and permission the policies, manuals and records an AI assistant will draw on, so it answers from current, approved content.
Fit a new data product or AI tool into the way people already work, then hand it over with runbooks and training.
Bring plants, warehouses, branches or acquired companies into one consistent view, without replacing every local system.
Phase II
When the first results hold up, the assessment’s recommended scope becomes a program built on two practices. For each one, we agree what will change and how we will measure it before work begins.
Modernize SQL Server, Oracle, PostgreSQL, MySQL and NoSQL databases, data warehouses and data lakes into cloud-ready architectures.
A cloud-ready estate sized to your workloads, with run costs you can see and manage, ready for analytics and AI.
Separate data from the applications that hold it, and serve it through governed, reusable data products and APIs.
Governed data that applications, analytics tools and AI agents can reuse, with fewer one-off copies and extracts to maintain.
Clear lines, agreed up front.
We build
Pipelines, governed data products, retrieval over approved content and the permissions that decide what an AI application can see.
We design it with your team
The use case, the workflow it fits into, prompts and evaluation, guardrails, and the handover to the people who will run it.
We bring in a partner
Training or fine-tuning a model, when a use case truly needs it. We scope that work with you and the specialist, and connect it to your governed data.
Fractional services
Experienced data talent is hard to find and hard to keep busy full time. Instead, a seasoned architect, DBA or DevOps engineer takes ownership of your data platforms: monitoring, maintenance, fixes and planning.
Every retainer starts with a written agreement on what’s covered: the systems, the routine work, the hours, response times and how issues are escalated.
A senior architect who knows your environment.
Ongoing care for your databases, data warehouses and data lakes, with help when issues come up.
Automation for your data platforms, kept current as you grow.
Why Frogstone
Frogs outlasted the dinosaurs. They adapt when conditions change, move easily between water and land, and know when to leap. But every leap starts from something solid: in a moving stream, the stone stays put while the water rushes past, giving the frog a steady place to land and push off again.
Modernization needs both, so our name brings them together. The same idea shapes how we work: our process is a path of stepping stones, and each step lands on solid ground before the next one begins.
See how an engagement runsPlatforms change, vendors change and AI keeps moving. Resilient organizations adapt without starting over. They replace systems, move to the cloud and adopt AI without rebuilding their data from scratch each time.
We build the foundation by freeing data from the applications that trap it and governing it consistently, so people, analytics and AI agents can all rely on it.
We build the stone. You make the leap.
Every technology investment is aligned with an outcome your leadership is accountable for.
Better decisions and AI adoption both depend on data people trust, so that is where we build.
Roadmaps sized to your budget, your team and your appetite for risk, delivered in steps you can measure.
FAQ
Short answers to what IT leaders ask us most, each with a link to the details.
No. Bring us a specific problem, like a slow database, an untested recovery plan or an upcoming migration, and we’ll take it on directly. The assessment is there when you want a full plan.
Our Founder, a Principal Data Architect, or a member of our team. Who does what is written into the scope before work starts.
We work across the major relational and NoSQL databases, including SQL Server (versions 6.0 through 2025), Oracle, PostgreSQL, MySQL, Cosmos DB, Cassandra and MongoDB, plus data warehouses and data lakes, on premises and in the cloud.
Yes. Our Founder has built role-based access, encryption and auditing for data platforms subject to SOX and HIPAA, and holds an active Public Trust clearance.
Get in touch
Tell us what’s going on and we’ll set up a short discovery call.
