Reports take days and still do not match.
Data is exported, pasted, corrected and questioned every month. The business needs a reporting layer people trust before the next board pack lands.
● UK-based · data, software and AI delivery
Data, software and AI build support for UK organisations.
Hands-on technical support for dashboards, data pipelines, internal tools, integrations, web platforms and AI workflows. Built around the operational problem, not whatever is fashionable this quarter.
Talk through a projectLed by a UK-based full-stack data scientist with 10 years' experience across software, data, analytics and applied AI.
- Data
- Pipelines, reporting layers and dashboards
- Software
- Internal tools, portals and workflow systems
- AI
- Search, triage, drafting and guarded automation
01 / What this is
useful systems for operational problems
The useful work is turning messy operational problems into data and software systems people can actually use.
JT Data Solutions helps UK organisations design, build and improve working technology: dashboards, data pipelines, integrations, internal tools, lightweight platforms, automations and AI-assisted workflows.
The work can start from almost anywhere: an unreliable report, a slow admin process, scattered data, a client portal idea, a half-built tool, or an AI idea that needs testing before anyone bets the process on it.
- Common triggers Reporting pain, disconnected data, manual workflows, AI ideas
- Typical output Dashboards, pipelines, platforms, integrations, automations
- Working style Fixed-scope projects, part-time build support, subcontract delivery
Data is scattered across tools.
Teams are exporting, reconciling and re-keying the same information. The next step is a cleaner flow between the systems they already use.
There is an AI opportunity, but no obvious first move.
There are documents, decisions and admin-heavy workflows everywhere. The useful work is picking one safe place to start and proving whether it is worth continuing.
02 / What we implement
View detail →- S.01 Dashboards & reporting systems Reporting layers, KPI definitions, dashboards and refreshes people can rely on.
- S.02 Data pipelines & integrations APIs, databases, exports and third-party tools connected without spreadsheet detours.
- S.03 Internal tools, platforms & portals Software for approvals, admin, customer portals and small operational products.
- S.04 Data comparison & validation Old and new system outputs compared, reconciled and turned into exception reports.
- S.05 Applied AI workflows AI tested on real workflows and added only where it saves time safely.
- S.06 Technical delivery support Part-time or subcontract build capacity for teams with a delivery gap.
Available for fixed-scope projects, part-time build support and subcontract delivery for consultancies and public-sector suppliers.
03 / What makes it solid
build work, not decoration
The value is not the category of tech. It is whether the thing still works when real people use it.
Good delivery gets into the messy middle: half-known processes, disconnected tools, unclear definitions, manual approval chains, data quality problems and teams who need something reliable without a giant transformation programme.
Map the real operational problem
- Systems, databases, exports and manual handoffs
- People, permissions, approvals and reporting obligations
- Data quality risks and places AI has no business touching
Ship the smallest technical improvement that helps
- Dashboards, internal tools, pipelines or AI-assisted workflows
- Integrations with the tools already in use
- Weekly demos, visible progress and written decisions
Leave something maintainable
- Documentation, source code and deployment notes
- Known limitations, backlog and support options
- Training so the system is used, not just delivered
Next step / Project fit
Reporting problem, data gap, internal tool, platform idea or AI workflow worth testing?
Send the rough shape of the problem. You will get a grounded view of what could be built, fixed, connected or tested first, without turning it into a bigger project than it needs to be.
Talk through the work