QA Consulting
Process-first QA Consulting that redesigns how quality is produced.
Indicators of Need
Releases delayed by unpredictable regression scope.
Escalating production defects despite growing test effort.
Compliance exposure: incomplete traceability, missing SOPs, weak evidence.
Vendor test reports exist, but confidence and coverage remain unclear.
Leadership requests measurable risk reduction.
Automation exists but fails under change or CI load.
What We Solve
Clarity
Strategy tied to business objectives and compliance
Speed
Shorter release cycles with controlled risk
Reliability
Consistent quality across features and releases
Scale
Governance that sustains outcomes as teams grow
Confidence
Shared understanding of risk, coverage, and readiness
Alignment
Roles, decision rights, and expectations synchronized
Customer Impact
Reduced production issues and stronger satisfaction
Consulting Focus Areas
Choose One — or Combine
QA Strategy & Operating Model
Strategy, assessment, target state, roadmap, roles.
TestOps & Delivery Acceleration
Pipelines, environments, quality gates, data.
Automation Architecture
Selection, patterns, coverage model, maintainability.
Compliance & Validation
GxP/Part 11/Annex 11, ISO/IEC 42001 for AI, GDPR alignment
Non-Functional Quality
Performance, reliability, security, accessibility
Artificail Intelligance (AI) Quality
Data quality controls, bias testing, explainability anchors
Engagement model
Transparent engagement models aligned to scope, risk, and governance cadence.
Diagnostic
(fixed-scope)
10-business days to clarify risks, priorities, and next steps for improvement.
Project-Based Consulting
Structured projects deliver defined outcomes with milestone-based commercial clarity throughout.
Fractional QA Leadership
Part-time leadership embeds governance, coaches teams, and operationalizes measurable KPIs.
How Consulting Runs
A standardized consulting pathway converts fragmented quality efforts into governed practice — diagnose, prioritize, remediate, and evidence.
Align & Baseline
Establish objectives, constraints, and facts before change.
Design the QMS
Create the target way of working that makes quality predictable
Enable & Pilot
Prove value in one stream before scaling
Scale & Sustain
Institutionalize gains and prevent regression
Book 30-Minute QA Alignment Call
Concise alignment on objectives, delivery expectations, and measurable outcomes.
FAQs
Find answers to common questions about scope, engagement model, and what results to expect.
No. The focus is operating-model improvement, governance, and capability uplift. Internal teams remain the core engine, supported by clearer roles, gates, and standards.
Read-only access to repositories and pipelines, sample test and release artifacts, current SOPs or policies, and short stakeholder interviews. Production data access is avoided unless essential.
Tooling remains neutral. Existing platforms are leveraged where effective, with criteria-based recommendations for additions only when they reduce risk or cost of quality.
Most suites can be stabilized by addressing flakiness patterns, ownership, and standards.
Changes are piloted in a single stream with defined gates and rollback options. Most teams observe shorter lead time once TestOps basics (environments, data, and gates) stabilize.
Consulting aligns outputs to risk-based coverage, sets acceptance criteria for reports, and integrates evidence into central traceability — without disrupting current supplier relationships.