Find the value pools
Prioritize AI opportunities by business value, feasibility, data maturity, risk, and sponsorship.
Partnership launch | May 5, 2026
Mozek joins forces with Tinqin to lead the AI adoption in Eastern Europe
A combined group for practical AI transformation: strategy, production engineering, adoption, governance, automation, and value measurement in one delivery path.
New value unlocked
From AI ambition to operating capability.
Build the foundation
Expose data blockers, architecture risk, security constraints, and readiness gaps before build spend.
Ship controlled AI
Deliver assistants, automation, decision support, and human-in-the-loop workflows with measurable outcomes.
Scale what works
Turn validated pilots into reusable capabilities, ownership models, monitoring, and enterprise rollout patterns.
Combined service portfolio
One path across the full AI adoption lifecycle.
AI opportunity assessment
Opportunity heatmaps, use-case scorecards, executive roadmaps.
Data and AI readiness
Data quality reviews, architecture risk registers, remediation backlogs.
Literacy and copilots
Role-based training, use-case libraries, secure rollout, adoption dashboards.
Workflow AI services
Document AI, contact center assistants, anomaly scoring, decision support.
Responsible AI controls
EU AI Act readiness, GDPR alignment, auditability, security, oversight.
Enterprise productization
Reusable capability models, portfolio cadence, monitoring, ownership.
What customers gain
AI that earns its place in the business.
RevenueNew AI-enabled propositions and better conversion.
CostLower operating effort through automation and deflection.
SpeedFaster decisions for executives, teams, and frontline work.
ControlTraceable approvals, policies, evidence, and audit paths.
ExperienceMore consistent client, employee, and agent interactions.
DataBetter reuse of enterprise data across AI services.
Services our combined group can offer
A practical menu for AI leaders, operators, data teams, and risk owners.
AI value discovery
Opportunity portfolios, value pools, feasibility scoring, and first-wave initiative planning.
Readiness and data quality
Data profiling, architecture assessment, integration design, stewardship gaps, and remediation planning.
AI enablement
AI literacy, role-based adoption, responsible usage playbooks, and change management.
Workflow integration
Future-state workflows, control points, exception paths, human-in-the-loop ownership, and backlog design.
Enterprise copilots
Secure rollout, knowledge retrieval, guided responses, summarization, usage libraries, and adoption metrics.
Intelligent automation
Claims processing, document AI, anomaly detection, routing automation, validation dashboards, and monitoring.
AI governance
Internal policy, risk tiering, EU AI Act readiness, GDPR alignment, audit evidence, and security controls.
ROI validation and scale-up
Benchmarks, KPI tracking, business cases, reusable capability models, and enterprise operating cadence.
Built with control from day one
Responsible adoption is part of delivery, not a final checkpoint.
GDPR
EU AI Act readiness
Internal AI policy
Auditability
Human oversight
Security and access control
Model monitoring
Risk classification
Start with the highest-value use cases