Unreliable data pipelines are slowing delivery
Failed jobs, delayed processing, recurring errors and constant troubleshooting consume engineering time. Your team spends more time maintaining existing pipelines than delivering new capabilities.
45-Day Data & AI Engineering Sprint · for CTOs
Your team has a roadmap to deliver, but limited capacity and specialist data expertise slow everything down. Tenplus helps CTOs solve critical Data & AI engineering challenges with experienced specialists, accountable delivery and a clear path to production.
Start with a focused 45-Day Data & AI Engineering Sprint. Tackle one high-priority technical challenge, validate the solution and see what it takes to scale.
Time to engineering capacityIllustrative
Years of experience
Data & AI engineers
Projects delivered
Estimation accuracy
Sound familiar?
Your developers are focused on product delivery. Meanwhile, data engineering problems compete for the same time, budget and attention.
$ pipelines runs --status failed,warning --last 7d
23 failed runs26h engineer time on reruns4 on-call pages
Engineering time this week64% off roadmap
Failed jobs, delayed processing, recurring errors and constant troubleshooting consume engineering time. Your team spends more time maintaining existing pipelines than delivering new capabilities.
Business-critical information sits across databases, applications, cloud platforms and legacy systems. Without dependable integration, teams struggle to access consistent data for analytics, reporting and AI.
You have promising AI use cases, but inconsistent data, quality issues and weak governance make production deployment difficult. A working AI demo is not the same as a reliable production solution.
Your developers already have product deadlines. Hiring specialist data engineers takes time, while important integration, infrastructure and AI projects remain unfinished.
Inefficient processing, poorly configured workloads and limited monitoring push infrastructure costs up. Without spare engineering capacity, finding and fixing the causes becomes another project on a crowded roadmap.
Some challenges need experience in data architecture, distributed processing, cloud platforms and production AI. Building every capability in-house may not be practical, especially when the need is urgent.
You shouldn’t have to choose between shipping product features and building reliable data infrastructure.
Talk to a Tenplus Data & AI SpecialistCase study
Two product engineers were losing most of their week to rerunning failed ingestion jobs, and the operations dashboard was rarely up to date by morning. Tenplus took ownership of the slowest workloads in a single sprint.
Measured against agreed acceptance criteria at sprint close
The offer
One critical engineering challenge. A focused team. Measurable progress.
The sprint is designed for CTOs who need specialist engineering capacity to move an important project forward. Instead of committing to a large consultancy engagement or recruiting an entire data team, start with one defined challenge.
Our engineers work with your existing technology, understand the bottleneck, implement an agreed solution and validate the results.
sprint-handover/
Each item maps to a folder in your handover
A clear understanding of the selected bottleneck, its causes and its impact.
A working improvement or validated technical solution within the agreed scope.
Results measured against agreed technical success criteria.
Clear documentation of the solution, the decisions made and the remaining risks.
Recommended next steps, dependencies and estimated implementation effort.
Continue with Tenplus if your roadmap needs ongoing specialist capacity.
Where we help
Each sprint focuses on one of these. Pick the challenge that is holding your roadmap back most.
Challenge 01
Stop spending engineering time fixing the same pipeline problems.
Slow processing, failed jobs, unstable integrations and recurring maintenance delay everything that depends on your data. Tenplus helps identify pipeline bottlenecks, improve selected workloads, strengthen reliability and establish a clearer approach to monitoring and maintenance.
Potential outcomes
Challenge 02
Your AI strategy can only move as fast as the data behind it.
AI initiatives often depend on information spread across different systems, inconsistent definitions and data that has not been prepared for reliable use. Tenplus helps connect relevant sources, improve data quality, assess governance requirements and validate the data foundation for a defined AI use case.
Potential outcomes
Challenge 03
Move your engineering roadmap forward without waiting for permanent hires.
Your team may have the technical direction but lack the capacity or specialist experience to execute every data initiative. Tenplus provides experienced data engineers and technical oversight to deliver defined work alongside your existing team.
Potential outcomes
Not sure which challenge fits? We will help you choose in the first call.
Find the Right Sprint for Your TeamHow it works
Three phases inside one agreed scope. You see progress against the acceptance criteria throughout, not just at the end.
We review the selected technical challenge, relevant systems, existing architecture, delivery constraints and business priorities. Together, we set the scope, acceptance criteria, responsibilities and success measures.
Tenplus engineers work on the agreed problem using the relevant data, infrastructure and development environment. Depending on scope, this may involve pipeline optimisation, system integration, data quality improvements or validating a technical foundation for AI.
We test the solution against the agreed criteria, review the results with your technical team and document the work. You get a clear view of what improved, what remains unresolved and what production or wider rollout requires.
You retain the agreed deliverables, whether or not you continue with Tenplus.
Plan your sprintWhy Tenplus
The output of a sprint is reviewed, tested work in your own environment, built to run in production and owned by your team at the end.
Work with engineers experienced in data platforms, cloud infrastructure, data integration, automation and AI enablement.
A defined scope, agreed success criteria, technical ownership and clear communication throughout the engagement.
Our approach weighs reliability, maintainability, security, scalability and operational needs, not simply whether a demo works.
Assess Tenplus through real technical work before deciding whether to extend into a dedicated engineering partnership.
We work with the technologies already in your environment. No forced migration, no new platform for the sake of it.
Including the platforms most data teams already run on.
After the sprint
A single sprint can resolve a defined bottleneck. Larger roadmaps often need ongoing engineering capacity. After the first engagement, Tenplus can support your team in four ways.
Start with one problem. Scale the partnership when the business case is clear.
Ongoing pipeline development, integration, optimisation and maintenance.
Data architecture, platform modernisation, workload optimisation and scalable infrastructure.
Preparing trusted data, developing suitable AI workflows and supporting production deployment.
A defined engineering team, technical leadership, delivery commitments and ongoing progress reporting.
FAQ
Straight answers on how the sprint is structured, how we work with your team and what happens next.
Bring it to a technical discovery call. You will speak with an engineer, not a salesperson.
Book a discovery callThe sprint is a scoped engineering engagement with agreed deliverables and technical responsibilities. Longer-term support can be structured around dedicated specialists or a managed delivery team, depending on your requirements.
Yes. We can collaborate with your internal engineers, technical leadership and platform teams while taking responsibility for the agreed work.
Not necessarily. We first assess your existing environment and the problem you want to solve. Platform migration is recommended only when the requirements justify it.
Yes. Tenplus can assess and improve defined aspects of data integration, quality, accessibility and architecture needed for an AI use case. Full production readiness depends on the wider technical and operational requirements.
We agree on a realistic scope before delivery. Larger challenges may need a focused technical milestone followed by a separate implementation phase.
Yes. If you need ongoing capacity, Tenplus can propose a dedicated engineering arrangement based on your roadmap, required expertise and delivery expectations.
Technical discovery call
Your roadmap needs reliable pipelines, connected systems, trusted data and the engineering capacity to deliver. Waiting months to recruit specialists, or postponing critical infrastructure work again, slows product development and AI initiatives.
Tenplus helps you move forward with experienced engineers, measurable technical delivery and a practical path to production.
Thank you. An engineer from Tenplus will be in touch by email to arrange your discovery call.