Transition
Knowledge comes in an orderly wayA diagnosis of real volumes, work in parallel with the outgoing team and a handover on objective criteria. The first months, informational SLAs; afterwards, penalisable ones.
Go-live with no outageHome / What we do / Managed services
Service area · 01We run your development, QA, DevOps, support, UX/UI, mobile and data as a service: penalisable SLAs, a single accountable lead, and an orderly handover of knowledge whenever you decide. With our own AI working inside the service.
Turnover is managed, not endured: at least two people per critical area, our own talent pipeline, and ENGRAM, our organisational memory. Knowledge outlives the person.
The “watermelon SLA”: green outside, red inside. That is why we also measure experience — per-ticket satisfaction and quarterly NPS — on top of the contract SLAs.
Here it is the opposite: we eradicate repetitive incidents and, if volume drops, we share the savings. Our incentive is for you to have fewer incidents.
The exit is agreed from day one: 2–3 months of orderly handover with every asset — knowledge, runbooks, automations. You work with us because you want to.
Each tower is contracted with its own scope, service unit and SLAs — together or separately.
Corrective and evolutive work on your applications, with a per-priority deadline commitment and documented knowledge: ≥95% resolved on time.
→ b.Quality gates per release and an automated regression suite that is yours and grows every month. Fewer than 5% of defects reach production.
→ c.CI/CD, infrastructure as code, observability and on-call, measured with DORA metrics: change-failure rate <15% and recovery <1 h.
→ d.A single point of contact, clear priorities and problem management that eradicates the repetitive. With a 24x7 AI agent on the front line that resolves or escalates with judgement.
→ e.A design system as a managed asset, continuous research with real users and WCAG 2.2 / EAA accessibility resolved. Experience is measured.
→ f.A fixed release calendar, store management included and guaranteed compatibility with the last two versions of each system: 99.5% crash-free sessions.
→ g.Pipelines, a data platform and models in production with MLOps/LLMOps: data freshness and quality under SLA, so nothing degrades in silence.
→The risk of the transition is ours, not yours — and the exit is agreed from day one.
A diagnosis of real volumes, work in parallel with the outgoing team and a handover on objective criteria. The first months, informational SLAs; afterwards, penalisable ones.
Go-live with no outageCommittees at three levels — executive, tactical and operational —, a monthly service report and an improvement plan with initiatives valued in euros.
Penalisable SLAsAn orderly exit in 2–3 months with delivery of every asset: knowledge base, runbooks, QA suite and living documentation.
No exit feeThe traditional managed service competes with pyramids of people; ours brings our own governed technology to work in every process. The N1 Agent resolves on the 24x7 front line; ENGRAM keeps the know-how so it does not leave with turnover; WEAVER governs the agents with permissions and traceability; and Mindden Flow runs process mining on our own service to eradicate bottlenecks with evidence.
See Data & AI →This is how you work with Mindden Managed Services. No grey areas, from day one.
The Service Manager governs the service and answers for it. You know who you are talking to and about what.
A real-time portal with tickets, SLAs and consumption. The monthly report is a product, not a spreadsheet.
If we fall short, we pay. If we sustainably exceed the level, it is recognised. It signs better and is fairer.
Agents with permissions, traceability and an explicit operating limit. Your data does not leave your premises when it should not.
Senior squads led by Mindden that take on work packages and answer for delivery.
View area → 03Technical support centre: tiered support with AI agents on the front line, 24×7.
View area → 04Our own platform — Process Mining, WEAVER and ENGRAM. From data to agents.
View area → 05Turnkey projects with factory discipline: software, data, QA and apps.
View area →