The overall logic

THREE AREAS OF EXPERTISEPlatform · Governance · Business

  1. Platform, the backbone that makes data available.
  2. Governance, the wrapper. Rules, compliance, quality, lineage.
  3. Business, N business use cases plugged into the foundation.
  4. AI, a cross-cutting accelerator that amplifies every layer.

The platform makes data available · Governance makes it reliable · Business makes it useful.

Infrastructure

Data & AI
Platform

Design and operate data infrastructure.

Design, deploy and operate the technical foundation on which all data value is built: cloud architecture, data platform, MLOps, AI platforms. The goal: reliable, scalable, observable infrastructure, ready to host AI use cases in production.

Challenges addressed
  • Modernise a legacy data platform
  • Industrialise AI model deployment
  • Control cloud costs & FinOps
  • Ensure data security and resilience

Design

Target cloud & data architecture · Technology choices · Master plan · MLOps framing · Security by design

Deliverables: documented target architecture, ADRs, phased migration plan.

Build

Modern lakehouse (Snowflake, Databricks, BigQuery) · Industrialised pipelines · Feature store · AI platform · CI/CD & observability

Deliverables: production platform, hardened pipelines, end-to-end observability.

Operate

Augmented run · FinOps · Monitoring & alerting · SLAs & incident management · Continuous improvement

Deliverables: autonomous run team, cost dashboard, continuous optimisation plan.

Stack & tools
AWSAzureGCPSnowflakeDatabricksBigQuerydbtAirflowMLflowTerraformKubernetesDatadog

Data assets

Data & AI
Governance

Organise, secure and steer your data assets.

Turn data into a managed asset, not a pile of files. Master Data Management, quality, lineage, catalogue, compliance: Visian helps organise the roles, rules and tools so every decision rests on defensible figures — and so scaling AI isn't held back by disorganised data assets.

Challenges addressed
  • Maintain GDPR, AI Act and sector compliance
  • Map data assets and clarify responsibilities
  • Secure the quality of critical data
  • Spread a shared data culture at scale

Frame

Data asset diagnostic · Flow mapping · Role definition (owners, stewards) · Data policy & AI Act · Governance roadmap

Deliverables: mapping, data policy, operational governance committee.

Deploy

Master Data Management · Catalogue & lineage · Data quality monitoring · Data contracts · Internal marketplace

Deliverables: single reference data, active catalogue, quality indicators in place.

Drive

Change management · Steward training · Steering committee · Value reporting · Organisation upskilling

Deliverables: autonomous governance team, rituals in place, expansion plan.

Stack & tools
CollibraAlationAtlanDataGalaxyStiboInformaticaTalendGreat ExpectationsSodaOpenMetadata

Business units

DATA & AI
FOR BUSINESS

Data in the service of business teams.

Marketing, Sales, Finance, Supply, HR, Operations: data and AI are only worth their business impact. Visian works alongside operational departments to turn a use case into a measurable business lever — revenue won, cost avoided, time freed. Short cycles, tangible deliverables, proven ROI.

Challenges addressed
  • Identify the highest business-impact use cases
  • Prove value before industrialising
  • Equip operational teams with AI
  • Measure ROI and bring business leadership on board

Advise

Identifying & prioritising business use cases · Quantified business case · Business data & AI roadmap · UX research · Target-value framing

Deliverables: prioritised use-case portfolio, business case per initiative, 12–18 month roadmap aligned across executive / IT / business.

Build

Marketing & Sales: 360 customer knowledge, scoring, recommendation, pricing, sales forecast · Finance & HR: fraud detection, close copilot, people analytics, attrition prediction · Supply & Operations: demand forecasting, predictive maintenance, route optimisation, computer vision

Deliverables: production MVP, business copilot embedded in daily work, packaged ML models, impact metrics.

Hand over

Adoption by operational teams · Business ROI measurement · Upskilling of business units · Long-term steering · Use-case evolution

Deliverables: autonomous business team, value indicators in place, plan to extend to other BUs.

Use cases & tools
Customer 360ForecastingRecommendationPricingFraud detectionBusiness copilotsPeople analyticsPredictive maintenanceComputer visionOptimisationBusiness GenAIAutomation

Dedicated page

Activating AI,
where to begin?

Beyond the three areas of expertise, Visian carries three AI offerings to enter the topic from the angle that matters most today: margin, performance or growth.

  1. 01 · Margin Cost-killing, defend margins, bring the bill down.
  2. 02 · Performance Performance, multiply execution capacity.
  3. 03 · Growth New business, invent a product, open a market.
Explore the AI offerings → Get in touch