/consulting/qdeployment // from audit to production

We deploy audit processes into production — with guaranteed metrics.

Three implementation variants. Measurable performance guarantee with KPIs auditable 90 days post-Go-Live: process time reduction ≥63%, TDC ≥84%. Hypercare 24 weeks. From scattered data to a data-driven organization.

/consulting/qdeployment/archetype // who this is for

Three client archetypes. Three complexity levels.

QDeployment starts from AiP Audit recommendations. Client profile — organization size, source system stack, regulatory regime — determines the variant.

01 Manufacturing

Manufacturing

Scale
50–500 FTE
Stack
multi-line SCADA / MES
Regime
REACH / CLP / NIS-2

Production lines with a heterogeneous controller stack, MES without ERP integration, anomalies detected by operators — not by the system. Implementation covers an anomaly detection layer on shop-floor data and automatic escalation to maintenance.

02 Professional Services

Professional Services

Scale
20–200 FTE
Stack
contract / case workflows
Regime
GDPR / AI Act / KSeF

Law firms, design offices, audit firms, consultancies. Workflows based on cases and contracts — senior partner time burned on operations that a system should handle. Implementation covers a case triage layer and automatic document distribution.

03 Retail Chains

Retail

Scale
chain operations
Stack
50–2,000 SKU/store
Regime
KSeF / GUM / GDPR

Chain operations — from individual delis to networks with hundreds of locations. Replenishment done manually, demand forecasting in spreadsheets, losses on SKU rotation. Implementation covers a forecasting and replenishment layer integrated with POS registers and warehousing.

/consulting/qdeployment/variants // pricing and scope

Three variants. One engine. Choose scope, not methodology.

The QDeployment methodology is singular — gate-driven, with performance guarantees and measurable KPIs. The variant determines only the breadth of scope, schedule length, and depth of the redundancy layer. Same foundation: from scattered data to a data-driven organization.

CORE

First implementation

150,000–1,500,000 PLN

4–8 months

Processes in scope
up to 3
Integrated systems
up to 5
Multi-cloud
AWS Bedrock
Hypercare
2 weeks
Auditor cross-check
no
Standards
ADR + runbook
P1 response
4 h
ENTERPRISE

Portfolio implementation

from 50,000,000 PLN

undefined

Processes in scope
8+
Integrated systems
15+
Multi-cloud
+ custom VPC
Hypercare
4 weeks + dedicated SRE
Auditor cross-check
yes
Standards
ADR + custom governance
P1 response
1 h

/consulting/qdeployment/workflow // four phases, three gates

Gate-driven implementation. Every gate has acceptance criteria.

Deadlines don't determine transitions — criteria do. A gate you haven't passed blocks the invoice for the next phase and returns work to the previous one.

  1. 01

    Architecture

    goal
    System architecture document, ADR-1 through ADR-N, integration baseline.
    input
    AiP Audit recommendation, access to source stack, AS-IS process maps.
    output
    ADR package, C4 diagram level 13, infra-as-code skeleton.
  2. GATE A Architecture → Build. Criterion: ADR covers 100% of integration decisions, client sign-off.
  3. 02

    Build

    goal
    Implementation of integration layers, models, and interfaces. Continuous integration from day 1.
    input
    ADR package, training/reference data, access to test environments.
    output
    Working system in staging environment, test coverage ≥80%, runbook P1–P4.
  4. GATE B Build → UAT. Criterion: regression scenarios green, OWASP security baseline, runbook approved.
  5. 03

    UAT

    goal
    Validation on client production data, under working conditions, with client team as testers.
    input
    System from staging, production data (copy), acceptance scenarios.
    output
    UAT report, list of diagnosed edge cases, Go-Live plan, KPI baseline.
  6. GATE C UAT → Hypercare. Criterion: 100% acceptance scenarios green, rollback plan ready, client sign-off.
  7. 04

    Hypercare

    goal
    Production stabilization, hot-fixes, competency transfer to client team.
    input
    System in production, dedicated Slack, weekly standup, full documentation.
    output
    KPI measurement over 90 days, final report, decision on QCare or in-house mode.

/consulting/qdeployment/sla // guaranteed metrics

Performance guarantee — measured, auditable, standards-based.

Every variant shares the same SLA foundation. They differ in response time, optional auditor cross-check, and standards depth (from ADR + runbook in Core to custom governance in Enterprise).

Criterion Core Performance Enterprise
Production system (not a pilot) yes yes
Process time reduction ≥63% yes yes
TDC (Throughput-to-Defect Coefficient) ≥84% yes yes
ADR documentation + runbook yes + custom governance
P1 response time 4 h 1 h

KPIs measured over 90 days post-Go-Live, on client production data — under working conditions, not synthetic. Full architecture and decision documentation on client side, regardless of variant.

/consulting/qdeployment/transfer // what stays after us

Competency transfer, not vendor lock-in.

After hypercare, your team knows how to maintain, debug, and extend the system without us. ADR documentation and runbooks stay with you — not on our repo.

Competency Transfer

  • ADR documentation — every decision with reasoning and alternatives
  • Operational runbooks for P1–P4 incidents
  • Training session 16 h for the in-house team
  • Post-Go-Live mentoring 30 days — direct access to the QA10 team

ADR Documentation

  • Architecture Decision Records — full decision trail
  • Data model — ERD diagrams + DDL + glossary of terms
  • Infrastructure-as-code — Terraform / Pulumi in client repo
  • Security baseline — OWASP, hardening, retention policy
  • Runbook P1–P4 — diagnostics and escalation
  • Regression test suite — coverage ≥80%, CI ready

/consulting/qdeployment/hypercare // 24 weeks post-Go-Live

Hypercare is not support. It's an engineering stabilization regime.

Response time measured in hours, not days. Dedicated Slack channel, weekly standup, rollback playbook for every production stage.

01

Response Time

P1
< 1 h
P2
< 4 h
P3
next day

Incident classification on first contact. P1 = production down. P2 = KPI degradation. P3 = cosmetic, no operational impact.

02

Operational Rhythm

Slack
dedicated channel
Standup
weekly
Review
end of hypercare

Direct access to the QA10 team without tickets. Weekly standup with three roles — client product owner, QA10 lead engineer, optionally risk officer.

03

Safe Rollback

Playbook
per stage
Checkpoint
blue-green
RTO
< 15 min

Every production stage has a documented safe-state checkpoint. Rollback to last stable state — playbook executable by an operator without engineering support.

/consulting/qdeployment/compliance // regulatory stacks

Four regulatory regimes. Each with a compliance map in the ADR package.

Implementations in regulated sectors require more than checklists. Every architectural decision maps to a regulation article — external auditors receive ready-made compliance documentation.

01

REACH / CLP

Chemicals

Substances, mixtures, hazard classification. SDS card mapping to REACH registry, CLP audit in the labeling layer, IUCLID integration.

02

NIS-2

Cybersecurity

Essential service operator. Incident policy, CSIRT reporting within 24 h, supplier risk management, baseline audit every 24 months.

03

GUM

Metrology

Central Office of Measures — measuring instruments, legal verification, standards. Annual verification cycle workflow, alerts at 90/30/7 days, office-side audit.

04

KSeF

E-invoicing

National e-Invoice System. Integration with MF gateway, FA(2) schema, invoice stream audit, 10-year retention compliant with tax ordinance.

/consulting/qdeployment/discount // from audit to deployment

Cross-stage discounts for AiP Audit clients.

Cross-stage logic — the audit pays for answers, the implementation pays for results. The 9% discount reflects value the Platinum client has already delivered in the discovery phase (organizational context, stack access, AS-IS process maps) plus the exclusivity commitment. Full variant structure at /consulting/aip/#variants.

/consulting/qdeployment/faq // frequently asked questions

What to know before the discovery session.

How does QDeployment differ from a typical IT implementation?

Three differences. First, production system, not a pilot — the implementation finishes in target conditions, not demo-ready. Second, foundations — we start from scattered data, we end with a data-driven organization with measurable KPIs (process time reduction ≥63%, TDC ≥84% measured over 90 days post-Go-Live). Third, ADR documentation (Architecture Decision Records) — every architectural decision has documented reasoning, rejected alternatives, and cost of change. A typical IT implementation leaves you with a system; QDeployment leaves you with a system, a foundation, and the knowledge of why it looks the way it does.

How long does a Performance implementation take?

816 months depending on the number of processes (38), integrated systems (515), and regulatory requirements. The implementation is gate-driven, not deadline-driven — each of three gates (Architecture → Build, Build → UAT, UAT → Hypercare) must pass acceptance criteria. Forcing a deadline at the expense of quality is a path to technical debt, so we don’t do it.

What do you do after Go-Live?

24 weeks of hypercare included in the price — P1 response time under 1 h, dedicated Slack channel, weekly standup with the client team, rollback playbook for every production stage. After hypercare, three paths — QCare subscription (separate product — monitoring, minor changes, quarterly review), transition to in-house mode with our ADR documentation and runbooks, or scope expansion in a new QDeployment contract.

Can I start with just one process?

Yes — the Core variant is designed for exactly that. Up to 3 processes, up to 5 integrated systems, 48 months. We usually start with the most critical process from the AiP Audit recommendations — the one with the highest ROI and lowest integration risk. Additional processes are added in the Performance variant after the first Go-Live, once the client team has seen how our workflow operates in production.

/consulting/qdeployment/ // next step

Audit complete. Recommendation on the table. Let's start the implementation.

Discovery session 30 min. Preliminary scope + contract outline + variant estimate within 48 h of the session.

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