Finding the first scenario
We record the business process, sources, users, roles, information security restrictions and success criteria.
Result: pilot scope and dependency map.RESTART helps launch enterprise AI not as a disparate chatbot, but as a managed environment: data sources, roles, RAGs, logs, information security restrictions, pilot, quality criteria and a roadmap for production operations.
We need to move from chaotic AI pilots to a platform architecture that is clear to integration, operations and business.
It is important not to release data, documents, source code and personal information to uncontrolled external services.
You need a quick effect in knowledge, documents, service desk, finance, procurement or development without loss of control.
It is necessary to formalize the roadmap, pilot KPIs, roles, budget outline and scaling rules.
The main problem with enterprise AI is not the lack of a model, but the lack of a managed architecture around data, access, quality and responsibility.
| Pain | What happens without preparation |
|---|---|
| AI pilots don't scale | Teams run individual scripts but fail to connect actual sources, roles, and auditing. |
| Data is getting out of control | Documents, trade secrets, personal data and code end up in services without a clear mode of use. |
| No trust in answers | The user receives text without sources, without checking the basis and without a clear process for improving quality. |
| CIO and CISO argue about risks | Architecture, information security, data and business impact are discussed separately, so the decision hangs. |
We record the business process, sources, users, roles, information security restrictions and success criteria.
Result: pilot scope and dependency map.We describe the target architecture: RAG, models, repositories, logs, integrations, access rights, dev/test/prod environments.
Result: HLD and platform requirements.We connect a limited set of data, configure roles, prompts, quality gates and the feedback process.
Result: a working script with metrics.We create a backlog, operational model, owners, risks, budget and replication plan.
Result: roadmap for 3-6 months.Map of scenarios, priorities, owners and expected effects.
Diagram of contours, sources, roles, logs, integrations and information security restrictions.
Pilot plan with quality criteria, data, metrics and acceptance.
Risk register: personal data, trade secrets, hallucinations, access, operation, vendor lock-in.
The optimal start is AI-discovery in 2 weeks. This is enough to separate real scenarios from beautiful ideas, evaluate the data and make management decisions about the pilot.
| Role | Area of responsibility |
|---|---|
| AI architect | AI platform, RAG, models, orchestration, quality criteria. |
| Data architect | Sources, data quality, vectorization, DWH/BI/ERP integration. |
| Security architect | PD, access rights, logs, contours, threats and information security requirements. |
| Business analyst / PM | Process, stakeholders, backlog, acceptance, roadmap and communications. |
Interviews with CIO, CISO and process owners, recording goals and limitations.
Assessment of sources, access, data quality, personal data, trade secrets and information security risks.
Design of RAG/AI loop, integrations, roles, logs and quality criteria.
The pilot's plan, team, timelines, artifacts, budget guidelines and the next stage.
Public cases do not reveal confidential details of customers, but show RESTART’s experience in related enterprise landscapes.
Yes. The first stage is needed just to choose an architecture: a separate pilot, a platform core or a hybrid path.
Yes. The architecture can be on-prem, private cloud or hybrid, with source limitation, logging and access control.
Not the number of requests, but the quality of answers from sources, reduction of manual labor, clear risks and readiness for industrial use.
Fill out a short application or send an email to info@restart.re. For the first conversation, it is enough to describe the outline, the role of the organization, current systems, limitations and the desired outcome.
Describe the task, current systems, constraints, and expected results. We will offer a practical first step: diagnostics, pilot, audit, roadmap or project team.
