Engineers who work only on your product, in your tools.
Developers, QA, DevOps and an IT helpdesk working only on your product, in your tools, reporting to your lead.
A dedicated group of developers, QA engineers and helpdesk staff joins your delivery rhythm, works in your repositories and ticket queues and reports to your engineering lead. AI coding assistants and automated tests take the repetitive work, such as boilerplate, test generation and first-pass ticket triage, so delivery speeds up. People own the outcome: your lead sets priorities, our engineers write and review the code, and a second person checks anything that touches live systems before it reaches your users.
What an engagement covers
A typical scope for this service. Exact scope is agreed in writing before work starts.
Web and mobile developers: features, fixes, refactoring and maintenance for your web and mobile apps, written to your coding standards and branching rules
Backend and API development: services, integrations and APIs, built, documented and maintained so your product and your other systems talk to each other reliably
Website and e-commerce builds: new sites, storefronts and checkout flows, plus updates to the ones you already run, built on the platform you choose
QA and testing: test plans, manual and automated testing, regression suites and release checks that run before every deployment
DevOps and cloud support: build and deployment pipelines, environments, monitoring and routine cloud upkeep, run under your access policy
IT helpdesk: L1 triage and first-line fixes, plus L2 investigation of bugs and logs, for your product or your internal IT, worked from your runbooks
ERP and CRM implementation: configuring, customising and connecting your ERP or CRM, migrating data in and training your users
Data and BI dashboards: connecting your data sources and building the reports and dashboards your managers read each week
AI does the routine. People own the outcome.
Where AI tooling helps, it takes the repetitive volume; a named team handles everything that needs judgment.
AI does
Coding assistants and automated tests speed up delivery
Our team does
Developers, QA and L1/L2 helpdesk, reporting to your lead
You track
Sprint delivery, ticket SLA
AI-handled routine work is sampled and reviewed by our team. Anything sensitive, or with external consequences, goes to a person and is second-checked. How we use AI
What you receive
Developers and QA engineers working in your repositories, to your branching, review and release rules
Pull requests with tests, clear descriptions and linked tickets, reviewed by a second engineer on our side before they reach your lead
Release and deployment pipelines with automated test runs, so each change is checked before it goes live
A staffed L1/L2 helpdesk in your ticketing platform, with coverage hours agreed with you
Working ERP, CRM, storefront or dashboard builds, with technical documentation and runbooks kept up to date
A weekly report on sprint delivery and ticket activity, and a monthly review with your lead
How the service is measured
Service levels are agreed per engagement. These are the measures we typically commit to.
Sprint delivery: how much of the work committed to each sprint is finished and accepted
Ticket service levels: first-response and resolution times by priority, against what is agreed
Code quality: defects found after release, rework requested in review and test coverage on changed code
Release health: how often deployments go out cleanly, and how quickly a failed one is fixed or rolled back
Backlog health: the age of open tickets, reopened tickets and the size of the bug backlog over time
The software we work in
We work inside the platforms you already use, under your access policy. Support for a specific tool is confirmed when we scope your engagement.
- GitHub
- Jira
- Slack
Product names belong to their owners; no endorsement is implied.
Setting up technology & development
- Day 1
Discovery call
A short call with you and your engineering lead covering the product, the stack, the roadmap, the hours you need and where the pressure is, whether that is delivery speed, a bug backlog, a stalled build or an overloaded helpdesk.
- Within days
Tailored proposal
A written proposal with the roles, hours and AI-assisted tooling for your engagement, a clear monthly figure and the named team lead who will be accountable for the work.
- Week 1
Set-up in your tools
Accounts in GitHub, Jira, Slack and your ticketing platform are created under your access policy, limited to what each role needs. We agree branching, review and release conventions, and which AI coding tools may be used on your code.
- Week 2
Onboarding and parallel run
The team learns your codebase, environments and runbooks, then works alongside your engineers and support staff. Your lead reviews pull requests and ticket handling, procedures are corrected on real work, and you sign off before the team takes ownership of anything live.
- From month 1
Go live and review
The team takes ownership of the agreed work in your sprints and queues. You receive a weekly report on delivery and tickets, and a monthly review where priorities, scope and the use of AI are adjusted.
Common questions about technology & development
You do. They join your stand-ups, take work from your backlog and report to your engineering lead. We handle recruitment, payroll, equipment and cover for leave, and a named team lead on our side keeps an eye on quality and coverage and reports to you each week.