DX10 — Business Transformation
Clarity before
complexity.
A Fractional CIO practice for growing businesses. We get the data foundations right before the AI work begins. Small by design. Built for scale.
Approach layers
03
Adoption stages
05
Stack layers
05
Offices
02
/01 — Who
Built for SME teams that are…
- /01
Growing past gut feel.
- /02
Overloaded with disconnected tools and spreadsheets.
- /03
Hearing AI everywhere, but sensing they're not ready.
/02 — What We Believe
We build with intention.
If the data isn't in order or the organisation isn't ready, we pause. Clarity has to come before the work, not after.
- /01
We don't scale for scale's sake — we scale what works.
- /02
We don't sell AI as a shortcut. The fundamentals come first.
- /03
Architecture is a decision. Most teams inherit theirs without realising it.
- /04
Trust gets built in the boring parts. The governance work, mostly.
/03 — Approach
Three layers. Each one earns the next.
DX10's work compounds. Foundations make visibility honest. Visibility makes AI worth the effort.
- /01
Data & Systems Foundations
Identify what data actually matters. Clean it, structure it, and govern it. Establish ownership and source-of-truth rules so the rest of the business can lean on it.
- /02
Decision Visibility
Reports and dashboards that reflect reality. Remove the duplicate metrics and the misleading ones, so the team makes faster and more confident calls.
- /03
AI Readiness — Only When Earned
Prepare the data for AI use. Introduce AI where it adds measurable value. We don't chase hype, and we won't automate something that shouldn't be automated yet.
/04 — Engagement
Three honest ways to start.
Low risk. Time-bounded. Output-driven. We avoid long-term lock-in unless the value is proven.
- /01
Data & Systems Audit
A clear-eyed read of where the foundations actually are.
- /02
Diagnostic Workshop
Working session with the team to surface the real constraints.
- /03
Pilot Engagement
A focused build against one decision or one workflow.
/05 — AI Adoption
From aware to excellent.
A five-stage framework for growing businesses. Most teams spend longer in the first two stages than they planned to, and that's usually where the real work is.
01
Stage 01
Aware
Getting Started
Leadership acknowledges the opportunity. No formal structure yet. Data is fragmented and used mostly for reference.
02
Stage 02
Developing
Policy & Planning
Early policies drafted, roles start forming, governance practices emerging. Structured data begins to support planning and risk work.
03
Stage 03
Competent
Strategy & Execution
Clear accountability for IT and AI. Training programs underway. Data supports planning, reporting, and budgeting reliably.
04
Stage 04
Optimizing
Performance & Improvement
Integrated systems. KPIs used for continuous improvement. Predictive planning begins. Data is trusted and decision-grade.
05
Stage 05
Excellent
Optimization & Innovation
Enterprise-wide integration. AI embedded in governance, finance, and planning. Data is a strategic asset, not just operational support.
/06 — Stack
The toolkit we reach for.
Not a stack we sell. What gets deployed on a specific engagement follows from the client's data, risk profile, and existing commitments.
- /01
Build
Inheritable interfaces, services, and APIs. Agreed in design first, then typed and documented so the next team can carry it.
FigmaNext.jsReactTypeScriptTailwindFlutterPayloadCMSFastAPI - /02
Data
Operational foundation. The system of record stays stable; analysis never destabilises it.
PostgreSQLFirestoreMongoDB - /03
Analytics
Decisions from numbers you can defend. One consolidated source feeding dashboards, not competing spreadsheets.
BigQueryData StudioPower BITableau - /04
Deploy & Operate
Fast by default, controlled when compliance or scale demand it. The hosting decision follows the client's risk profile.
VercelNeonGCPAWSFirebaseCloudflare - /05
Collaborate & Govern
Auditable by default — including our own AI use. Reviewable history and shared operating context.
GitHub ActionsGoogle WorkspaceNotionGoverned AI workspace
/07 — Non-goals
What DX10 isn't.
- /01
DX10 isn't a generic dev shop.
- /02
We don't sell tools before fixing the foundations.
- /03
We don't promise AI without governance.
Growth is constrained by clarity, not hype.
/08 — Contact
Let's begin with
clarity.
Tell us where you are and what you're trying to make true. We'll read the fundamentals and write back with what we see.
United States
Mon–Fri · 9:00–17:00 EST
Philippines
Mon–Fri · 9:00–18:00 GMT+8