AI strategy
Decide where AI belongs in the business and where it does not, in what order, with what investment and which risk controls.
Data, AI & Analytics
Turn your data into faster, better decisions.
Fortify helps executives and data leaders move from having data to using data: setting the strategy, building the platform, delivering the analytics that leaders rely on, and applying AI where it changes how work gets done.
The business problem
Most organizations are data-rich and decision-poor.
Data sits in separate systems, definitions differ between departments, and the report a leader needs arrives after the decision has already been made.
AI raises the stakes. It can only be as reliable as the data behind it, and it only creates value when it is connected to the decisions and workflows people already own. Getting there takes a sequence: a clear data strategy, a platform that can carry it, analytics people trust, and AI applied to specific problems.
What data and technology leaders need
- One trusted view of the business, not several competing ones
- Clear ownership of data, and governance that does not slow the business down
- Dashboards and analytics that executives and operational teams actually use
- A realistic path to AI that starts from the data and the decision, not the technology
- Governance and privacy practices that respect data protection rules, which differ across countries in the region
How we organize the work
Four layers, one path from data to decisions
Each layer builds on the one before it. You can enter at any layer, and we will tell you honestly what needs to be in place first.
Data Strategy
Decide what data matters, who owns it and how it will be used.
Data Platforms
Build the architecture that brings data together and keeps it trustworthy.
Analytics & Decision Intelligence
Put the right information in front of the right people at the moment of decision.
Artificial Intelligence
Apply AI to specific decisions, documents and workflows.
Layers 1 and 2
Get the data foundation right
Strategy decides what the data is for. The platform makes it available, governed and ready for analytics and AI.
Data Strategy
Agree what data matters to the business, who is accountable for it and how it will be used, before investing in technology.
- Enterprise data strategy
- Data maturity assessments
- Data architecture
- Data operating models
- Data governance
- Data transformation roadmaps
Data Platforms
Design and build the platform that connects your systems, standardizes your data and serves analytics and AI from a single governed foundation.
- Modern data architecture
- Data platform modernization
- Cloud data platforms
- Data integration
- Data engineering
- Data governance
Layer 3: Analytics & Decision Intelligence
Move from having data to using data to make better decisions.
A report describes what happened. Decision intelligence connects information to the choice a leader or an operations team has to make next, and shows what each option is likely to change.
We design analytics around the decisions your organization makes most often, then build the dashboards, models and data products to support them.
What we deliver
- Business intelligence: a consistent, governed reporting layer the whole organization trusts
- Executive dashboards: the handful of measures leadership steers by, current and drillable
- Operational analytics: near-real-time views for the teams running day-to-day processes
- Data visualization: clear, well-designed presentation of complex information
- Decision intelligence: analytics and AI tied directly to specific business decisions
Layer 4: Artificial Intelligence
What Fortify helps you do with AI
Not AI as a slogan. Nine specific things we help organizations do, each tied to a business problem and a measurable change in how work gets done.
AI readiness
Test whether your data, infrastructure, security, skills and governance can support the AI you want to run, and close the gaps first.
AI use-case identification
Work with business teams to find, rank and select use cases by value, feasibility and risk, so effort goes to the few that matter.
Generative AI
Apply it to document-heavy work: drafting, summarizing, searching internal knowledge and handling correspondence, with controls over what data it can see.
AI agents
Design agents that complete defined tasks, such as gathering information from several systems and preparing a case for a person to approve.
Agentic workflows
Redesign multi-step processes so AI handles the routine steps while people handle exceptions and decisions.
AI application development
Build AI-enabled applications connected to your data and systems, with security, monitoring and access controls designed in from the start.
AI prototyping
Turn an idea into something people can see and test, so leaders judge it on a working example before committing budget.
AI adoption
Prepare teams, policies and operating routines so the AI that gets built is the AI that gets used.
Why the order matters
AI is only as dependable as the data underneath it.
AI projects that skip the data work tend to stall at the pilot stage, because the model cannot be trusted with information that is incomplete, inconsistent or poorly governed.
That is why we assess data maturity and AI readiness together. You get one honest picture of what can be done now, what needs to be fixed first, and what it will take.
See it before you commit
Explore executive dashboards, modern data platforms and AI scenarios in the Fortify Innovation Lab, or prototype what they could look like with your own data.
Start here
Easy ways to begin
Packaged assessments give you a clear picture and a roadmap before you commit to a larger program.
Let's start with the decisions you want to make faster.
Talk to a transformation advisor about your data platform, your analytics priorities or your first AI opportunity.