Every leadership team now has a data and AI agenda, and for good reason. Used well, data and AI fuel smarter decisions, better customer and employee experiences and faster execution, helping you operate for less and grow the business at the same time.
Yet most organisations are stuck somewhere between ambition and impact. Ideas multiply without a clear business case, data is not yet trusted enough to build on, regulation keeps moving, skills are scarce, and too many pilots never reach production. The issue is rarely the technology: it is strategy, governance, adoption and the discipline to measure value.
That is exactly where we help. For 35 years, Itecor has helped organisations govern their information systems, manage performance and deliver change: the discipline AI needs to scale. Our data & AI advisors have led data, AI and security programmes at enterprise scale themselves. They are business-facing peers to your leadership team who know your industry and processes, speak the language of P&L and risk, and help you find the gaps before they become costs.
We take you from idea to value in a way that is risk-assessed, managed and scalable. We start where the value is, build trust into your data and AI from day one, deliver with proven engineering and quality practices, and measure the return until it is realised. Our eight capabilities can be engaged individually or as an end-to-end programme, and the people who scope the work are the people who run it.
OUR PROMISE
We turn data & AI into measurable business results, governed and assured, as senior local peers who scope it, then run it.
Identify where data and AI create value, govern it from day one, and industrialise delivery and ROI. Engage one capability or the full journey from executive ambition to measurable value.
AI is now a board-level topic, but enthusiasm is not a strategy.
We work with executive committees and boards to shape a data & AI agenda anchored in your business goals, not in technology trends. Together, we identify the value pools across growth and productivity, decide where to invest and where not to, and turn ambition into a costed, sequenced roadmap your organisation can actually deliver.
ECOSYSTEM
We stay technology-neutral and help you weigh platform choices, from Microsoft Copilot for breadth to specialised data and AI platforms, against your strategy, risk appetite and budget.
WHAT WE DO
executive briefings and AI leadership workshops for boards and ExCos
AI ambition and value-pool assessment across growth and productivity
data & AI maturity diagnostic and benchmarking
target data & AI operating model and investment guidance
12-month costed roadmap with P&L projections
AI portfolio steering and board reporting
The best AI use cases rarely come from a technology catalogue. They come from understanding how your business really works.
Our consultants combine business analysis, process expertise and industry knowledge to assess your value chains, pain points and value pools, then identify and prioritise the use cases with measurable impact. You get a shortlist you can defend: each opportunity sized, risk-rated and ready for a business case.
ECOSYSTEM
Where it speeds up discovery, we prototype on collaborative platforms such as Dataiku, so business and technical teams can test ideas side by side.
WHAT WE DO
process and value-chain mapping, from front office to support functions
pain-point and value-pool analysis with business owners
use-case ideation, sizing and prioritisation by value, feasibility and risk
business cases with KPIs, baselines and benefit owners
3-week data & AI value scan
Trust is the licence to scale AI.
Building on our long-standing expertise in IT governance, data protection and compliance, we embed governance, ethics, regulatory readiness, risk controls and security into your data and AI lifecycle, from ideation to production. Your teams innovate faster because the guardrails are clear: who decides, which data can be used, how models are validated and how risks are monitored.
ECOSYSTEM
We implement governance in the tools your teams already use, such as Microsoft Purview, Databricks Unity Catalogue or Dataiku Govern.
WHAT WE DO
data & AI governance framework, roles and decision rights
data ownership, quality and lineage foundations
AI risk assessment and use-case classification
regulatory readiness: EU AI Act, Swiss FADP and sector requirements
AI security, privacy by design and sovereign deployment options
AI inventory, policies and audit trails
AI creates value only when people use it, trust it and change how they work.
Our change managers, business analysts and trainers mobilise business, data, IT and risk stakeholders, redesign ways of working and embed AI adoption across functions. We build data and AI literacy at every level, from the boardroom to the front line, so adoption sticks long after go-live.
ECOSYSTEM
Our learning paths draw on DataCamp for scalable, role-based data and AI upskilling, complemented by hands-on coaching on your own use cases.
WHAT WE DO
stakeholder mobilisation and AI change roadmap
ways-of-working and role redesign
data & AI literacy programmes, from executives to practitioners
Copilot and generative AI rollout with champion networks
adoption measurement and continuous reinforcement
Scaling AI takes more than projects. It takes an operating model.
We help you stand up a central, federated or hybrid data & AI centre of excellence (CoE), with clear decision rights, standards and reusable assets, and the right balance between central governance and business-led innovation. If you prefer, we run it with you as a managed service: a named senior team in your time zone, on site when it matters, with SLAs, KPIs and a quarterly value review.
ECOSYSTEM
We design the CoE around your platform landscape, such as Microsoft Fabric, Databricks or Dataiku, and stay technology-neutral in our recommendations.
WHAT WE DO
CoE design: central, federated or hybri
use-case intake, decision rights and portfolio governance
standards, reusable assets and platform guidelines
data & AI roles, skills and sourcing strategy
CoE as a service with SLAs, KPIs and quarterly value reviews
From the data foundation to agents in production.
Our engineers design and integrate data and AI architectures that fit your enterprise landscape and security model. We build data platforms and pipelines, integrate AI agents and vendor AI capabilities into your applications, and bring AI into your software development lifecycle without compromising quality or governance. When data must stay yours, we deploy open-weight models hosted in Switzerland, in the EU or on your premises.
ECOSYSTEM
We build on Microsoft Azure, Fabric and Foundry, the Databricks lakehouse and Dataiku, and integrate open-weight models such as Mistral where sovereignty matters.
WHAT WE DO
data & AI architecture and platform design
data engineering, pipelines and integration
use-case build and scale-up, including agentic AI
integration of vendor AI capabilities into your enterprise ecosystem
AI-enabled SDLC: requirements, code, tests and documentation
sovereign and self-hosted AI deployments
AI that works in a demo is not AI that works in production.
Building on Itecor’s long-standing quality assurance & testing practice, we industrialise data and AI delivery with quality gates, testing, monitoring and MLOps/LLMOps across data, prompts, models and agents. We measure accuracy, robustness, drift, bias and cost continuously, so your AI stays reliable, safe and performant as it scales.
ECOSYSTEM
We instrument data and AI systems with the observability stack that fits you, such as Dynatrace, Datadog or Grafana, or open-source tools like OpenTelemetry and Langfuse for LLM apps and agents, all connected to our testing practice
WHAT WE DO
AI test strategy and quality gates
data quality testing and data observability
LLM, chatbot and agent evaluation: accuracy, robustness, bias and safety
MLOps / LLMOps pipelines and model monitoring
performance, cost and reliability engineering, including AIOps
What gets measured gets funded.
We track adoption, performance, cost, risk and value for every data and AI solution against the baseline and targets agreed upfront, then tune each solution to deliver more within your constraints. You get an auditable view of your AI P&L, the evidence to scale what works and the discipline to stop what doesn’t.
ECOSYSTEM
We apply Itecor’s own value-realisation frameworks, embedded in enterprise platforms such as Dataiku, to track every use case against agreed KPIs and AI spend, making value and cost transparent in Power BI or your preferred BI tool
WHAT WE DO
value baselines, KPI and benefit-tracking frameworks
AI P&L: cost, usage and value dashboards for leadership
adoption and performance analytics
FinOps for AI: model, compute and licence cost optimisation
portfolio reviews: scale, fix or stop
35 years of governance and performance management: the discipline AI needs to scale.
Advisors who have led data, AI and security at enterprise scale and sit at your level.
Consultants who know your industry and processes, and find the gaps others miss.
International delivery, with senior peers who stay with you through execution.
We work with leading platforms across the data and AI value chain, and we stay technology-neutral: we recommend what fits your context, not what fits a quota.
In three weeks, we assess your ambition, processes and data readiness, and hand you a prioritised use-case shortlist and a costed roadmap with full P&L projections. You get clarity before you commit budget.
Working alongside the Change Manager: A Project Manager’s experience
digital solutionsgovernance & service management
October 15, 2026
Upcoming Itecor Testing Breakfast – AI for Software Quality and Value Creation
quality assurance & testing
October 12, 2026
Meet Itecor at the IIBA Business Analysis Congress 2026
governance & service management
September 29, 2026
