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VYNQOR
Technology & Engineering

Enterprise AI, From Strategy to
Operations

A complete enterprise AI portfolio - advisory through implementation and ongoing operations. Strategy, governance, engineering, automation, and managed services under one accountable partner.

The Business Challenge

What we are usually called in to fix.

AI is being adopted faster than it is governed, and nobody can produce an inventory of every model and agent in production.

What Changes for the Business
Every AI system registered and risk-assessed
Compliance evidenced continuously
AI in production with controls that hold
Use cases chosen on value, not on novelty
Agents with scoped permissions and a reviewable trail
Model drift caught before a customer finds it
Capabilities

What we cover.

AI Strategy & Advisory

Enterprise AI roadmaps anchored to business cases - use case prioritization, value modeling, operating model design, and build-versus-buy decisions.

AI Governance & Assurance

Governance frameworks and controls aligned to the EU AI Act, ISO 42001, NIST AI RMF, and internal risk policy - operationalised through VynVault™.

AI & Agentic Engineering

Production AI systems - RAG architectures, agentic workflows, model integration, evaluation harnesses, and the guardrails that make them safe to run.

Intelligent Automation

Process intelligence and automation at scale - combining AI decisioning with workflow orchestration across ServiceNow, Salesforce, and SAP estates.

Data Foundations for AI

The unglamorous prerequisite - data quality, lineage, access control, and retrieval architecture that determines whether AI works in production.

AI Managed Services

Ongoing model monitoring, drift detection, cost governance, incident response, and continuous evaluation - because AI systems degrade without operations.

How We Deliver

Every AI Consulting engagement
runs on IMPACT.

VynImpact™ is our delivery framework. Six phases, each with a defined output that the next phase depends on. It is why the phase names appear against every capability below: each one tells you where in the engagement that work actually happens.

01

Investigate

Landscape & Insight Study

Output

Factual baseline. No assumptions.

02

Map

Value & Impact Alignment

Output

Agreed outcomes. Committed roadmap.

03

Plan

Solution Architecture & Design

Output

Clear blueprint. Zero surprises.

04

Activate

Build, Integrate & Deliver

Output

Working solution. Validated outcomes.

05

Change & Adopt

People & Operations Transformation

Output

Embedded adoption. Sustained change.

06

Track

Outcomes Verification & Scaling

Output

Proven ROI. Enterprise-wide scale.

No phase starts before the previous one has produced its output. That is the whole discipline, and it is why the framework is worth naming.

See the full methodology
The Engagement Model

How We Engage on Enterprise AI

The hard part of enterprise AI is not the model. It is knowing which use cases are worth it and being able to evidence what they did.

AI Strategy & Value Mapping

Separate the use cases that will pay for themselves from the ones that will only demonstrate well.

What We Do
  • AI opportunity assessment across functions
  • Use case prioritization against value and feasibility
  • Build, buy and partner decisioning
  • Data readiness and foundation assessment
  • Operating model and capability planning
  • Investment case with baselined starting metrics
Anchored in VynImpact
InvestigateMap