/qdeployment // from audit to production

We deploy processes from audit to production — with guaranteed numbers.

Three deployment variants. Measurable performance guarantee with KPIs auditable 90 days post-Go-Live: process time reduction ≥63%, TDC ≥84%. Post-deployment care 24 weeks. From distributed data to a data-driven company.

/qdeployment/archetype // who this is for

Three client archetypes. Three levels of complexity.

QDeployment starts from the Audyt AiP recommendations. The client profile — organisation 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 with no ERP integration, anomalies detected by the operator — not the system. The deployment covers an anomaly detection layer on shop-floor data and automatic escalation to maintenance teams.

02 Professional Services

Professional Services

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

Law firms, design offices, audit companies, advisory firms. Case- and contract-based workflows — senior partner time burned on operations that should be handled by the system. The deployment covers a case triage layer and automatic document distribution.

03 Retail Networks

Retail

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

Chain operations — from single delis to networks of hundreds of outlets. Replenishment done manually, demand forecast in a spreadsheet, SKU rotation losses. The deployment covers a forecasting and replenishment layer integrated with POS terminals and the warehouse.

/qdeployment/variants // pricing and scope

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

The QDeployment methodology is singular — gate-driven, with a performance guarantee and measurable KPIs. The variant determines only the breadth of scope, the length of the schedule, and the depth of the redundancy layer. The same foundation throughout: from distributed data to a data-driven company.

CORE

First deployment

150 000–1 500 000 zł

4–8 mo.

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

Portfolio deployment

from 50 000 000 zł

open-ended

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

/qdeployment/workflow // four phases, three gates

Gate-driven deployment. Every gate has acceptance criteria.

It is not a deadline that determines progression — it is criteria. A gate you haven't passed blocks the invoice for the next stage and sends the work back to the previous one.

  1. 01

    Architecture

    goal
    System architecture document, ADR-1 to ADR-N, integration baseline.
    input
    Audyt AiP recommendation, access to source stack, AS-IS process map.
    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 the client's production data, under working conditions, with the client's 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 → Post-deployment Care. Criterion: 100% of acceptance scenarios green, rollback plan ready, client sign-off.
  7. 04

    Post-deployment Care

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

/qdeployment/sla // number guarantees

Performance guarantee — measured, auditable, standards-based.

Every variant shares the same SLA foundation. They differ in response time, optional auditor cross-check, and depth of standards (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 the client's production data — under working conditions, not synthetic ones. Full architecture and decision documentation stays with the client, regardless of variant.

/qdeployment/transfer // what remains after us

Competency transfer, not vendor lock-in.

After post-deployment care, your team can maintain, debug, and extend the system without us. ADR documentation and runbooks remain with you — not in our repository.

Competency Transfer

  • ADR documentation — every decision with rationale and alternatives
  • Operational runbooks for P1–P4 incidents
  • 16 h training session 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
  • Infrastructure-as-code — Terraform / Pulumi in the client's repo
  • Security baseline — OWASP, hardening, retention policy
  • Runbook P1–P4 — diagnostics and escalation
  • Regression test suite — coverage ≥80%, CI-ready

/qdeployment/post-deployment-care // 24 weeks post-Go-Live

Post-deployment care is not support. It is an engineering stabilisation regime.

Response time measured in hours, not days. Dedicated Slack channel, weekly standup, rollback playbook per 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 the last stable state — a playbook executable by the operator without engineering support.

/qdeployment/compliance // regulatory stacks

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

Deployments in regulated sectors require more than a checklist. Every architectural decision maps to a specific regulatory article — an external auditor receives ready-made compliance documentation.

01

REACH / CLP

Chemicals

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

02

NIS-2

Cybersecurity

Operator of essential services. Incident policy, CSIRT reporting within 24 h, supplier risk management, basic audit every 24 months.

03

GUM

Metrology

Polish Office of Measures — measuring instruments, legalisation, standards. Annual legalisation cycle workflow, 90/30/7 day alerts, authority-side audit.

04

KSeF

E-invoicing

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

/qdeployment/discount // from audit to deployment

Cross-stage discounts for Audyt AiP clients.

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

/qdeployment/faq // questions that come up repeatedly

What to know before the discovery session.

How does QDeployment differ from a typical IT implementation?

Three differences. First, a production system — not a pilot — the deployment ends in target conditions, not demo-ready. Second, foundations — we start from distributed data and finish with a data-driven company 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 rationale, rejected alternatives, and cost of change. A typical IT deployment 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 the Performance deployment take?

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

What do you do after Go-Live?

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

Can I start with a single process?

Yes — the Core variant is exactly for that. Up to 3 processes, up to 5 integrated systems, 48 months. We most commonly start with the most critical process from the Audyt AiP recommendations — the one with the highest ROI and lowest integration risk. Additional processes are added under the Performance variant after the first Go-Live, once the client's team has seen what our production workflow looks like.

/qdeployment/ // next step

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

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

Paleta poleceń
  • Strona główna/
  • Kontakt/kontakt/
  • Kalkulator ROI/kalkulator/
  • Audyt AiP/audyt-aip/
  • QDeployment/qdeployment/
  • QCare/qcare/
  • Pełen proces/proces/
  • MenToR — AI dla uczelni/mentor/
  • Engineering Lab/engineering-lab/
  • Venture Projects/projekty/
  • O nas/o-nas/
  • Case Studies/case-studies/
  • Baza wiedzy/baza-wiedzy/
  • Umów diagnostykę 30 min/kontakt/#booking
  • Oblicz ROI/kalkulator/
  • Kalkulator Dig.IT/kalkulator/
  • dlaNGO MVP demo/projekty/#dlango-mvp
  • LSO:ATOM/o-nas/#lso-atom
  • FAQ /projekty//projekty/#faq
CtrlK|Esc|Enter19