Control principle
In an enterprise project, you cannot choose between “strict plan” and “agile development”. For large customers, both layers are important: predictability for procurement, budget, architecture and information security, as well as the ability to quickly clarify requirements, release increments, show working results and manage changes.
Therefore, RESTART leads projects as a managed change program: it records business goals, risks and acceptance criteria, but leaves the team the opportunity to iterate, test hypotheses, check integrations and adjust the backlog without losing control.
Delivery lifecycle
Diagnostics and scope
We fix the business problem, boundaries, stakeholders, current landscape, information security limitations, data, integrations and success criteria.
Architecture and plan
We prepare the target architecture, roadmap, backlog, HLD/LLD where necessary, risk matrix, communication and acceptance plan.
Iterative implementation
We work in sprints or Kanban flows, regularly demonstrate results, carry out quality control, testing, documentation and change management.
implementation and development
We carry out acceptance, training, launch, stabilization, transfer to support, monitoring metrics and subsequent development of the solution.
What we take from PMP/PMBOK, Agile and engineering practices
Program control
Project charter, stakeholder management, WBS, risks, budget, schedule, governance, decision protocols and change control.
Working increment
Backlog, prioritization, short iterations, demos, regular feedback, hypothesis testing and transparent status to the business.
Quality and safety
CI/CD, testing, control of dependencies, secrets, vulnerabilities, infrastructure, logging and secure releases.
Operation
SLA/OLA, incidents, changes, knowledge base, support regulations and the transition from project to managed operation.
Risk and quality management
In ERP, 1C, SAP, AI, IS and Data projects, risks usually arise in more than one place: accounting methodology, data quality, integration, access rights, migration, productivity, user acceptance, regulation and operational responsibility are interconnected. We manage these risks explicitly: through the registry, owners, control procedures, architectural decisions and regular management meetings.
Data risks
Profiling, quality rules, migration reconciliations, source control and responsibility of data owners.
Information security risks
Threat model, requirements of Federal Law No. 152-FZ/Federal Law No. 187-FZ, access rights, logs, separation of environments, delivery control and secure-by-design.
Implementation risks
Pilot, phased rollout, training, UAT, rollback plan, communications and post-launch stabilization.
Risks of the result
Acceptance criteria, impact metrics, transparent artifacts, and regular alignment with business goals.
Artifacts that the customer receives
- diagnostic report and map of the current landscape;
- target architecture, roadmap, backlog and implementation plan;
- risk matrix, decision register, protocols and change control;
- HLD/LLD, integration specifications, information security requirements and access model;
- test scripts, UAT plan, regulations, instructions and knowledge base;
- transition plan, SLA/OLA and development recommendations.
Let's discuss your environment
Describe the task, current systems, constraints, and expected results. We will offer a practical first step: diagnostics, pilot, audit, roadmap or project team.
