Eight in ten survey respondents say AI improves their own productivity. Far fewer organizations can see the impact in their earnings. As an AI digital transformation company, we help you find where the gap is, decide what should change and measure the result.
Source: McKinsey, The State of AI in 2026, 1,719 respondents, May–June 2026. These are separate questions.
Four patterns show up repeatedly in global research on business AI transformation. Each has a fix, and every fix starts with knowing your own numbers.
In PwC’s global survey, 56% said AI had produced neither higher revenue nor lower costs during the previous 12 months.
PwC 29th Global CEO Survey, 2026 · 4,454 CEOs · 95 countries and territories
Only 25% of respondents said their organization had moved at least 40% of its AI experiments into production.
Deloitte State of AI in the Enterprise, 2026 · 3,235 business and IT leaders · 24 countries
Of IT leaders surveyed globally, 82% say data integration is one of their organization’s biggest challenges when using AI.
MuleSoft Connectivity Benchmark, 2026 · 1,050 IT leaders globally · vendor survey
Deloitte found that 84% of companies have not redesigned jobs or the nature of work around AI capabilities.
Deloitte State of AI in the Enterprise, 2026 · 3,235 business and IT leaders · 24 countries
Start with free AI training when leaders need a shared view of where AI can create value and how any existing work should improve or move directly into the assessment when your organization is ready. The initial training and assessment are provided at no charge.
Build a shared understanding before deciding where AI should be used.
A focused executive briefing, seminar, or workshop helps leaders understand practical AI applications, limitations, and where existing AI use should improve. We then identify the workflows and business areas worth examining further.
Practical AI applications and limitations
Where AI can create business value
Where existing AI use should improve
Workflows worth investigating
Shared leadership understanding
Initial transformation opportunities
Leadership alignment on AI opportunities
Initial transformation opportunities
Through our AI transformation consulting approach, understand how work happens, identify the highest-value opportunities, and build a prioritized transformation roadmap.
With access to relevant people, processes, systems, data, and existing AI initiatives, we examine current workflows and identify where change can create measurable value.
Business priorities and objectives
Current workflows and operating processes
Systems, data, and existing AI initiatives
Value potential and feasibility
Dependencies, adoption, and risk
Baselines and success measures
Recommended initiatives and sequence
Business cases and next decisions
Document how things work today and build the prioritized roadmap and financial case.
Review the recommendations, expected results, order of work and what to pursue.
An MOU or similar agreement can define access, confidentiality, responsibilities and oversight.
As your AI implementation partner, we connect what already exists and deliver the selected new work under a separately agreed scope and price.
Track results, improve solutions, train users, strengthen controls and identify the next priorities.
Our AI digital transformation services follow a roadmap that may improve something you already use, connect several projects or introduce something new. The expected value, data, systems and training needs determine what is needed and in what order.
Turn business goals, workflow findings and technical limits into a clear order of work and measurable goals.
Help leaders identify where AI belongs, decide how existing use should improve and prepare employees for redesigned roles and workflows.
Redesign manual work and connect existing automation or AI tools into complete workflows, while people retain control over judgment, exceptions and approvals.
Replace manual document handling – or move beyond basic scanning and extraction – by connecting documents to validation, approvals, exception handling and operational systems.
Build connected AI experiences from the ground up – or move beyond standalone chatbots – using trusted knowledge, operational data and human escalation.
Connect, clean and manage business data so teams can report, analyze and decide with greater confidence.
Develop new models or move successful pilots into daily operations with reliable data, system integration, monitoring, human review and measurable performance.
Support enterprise AI transformation by connecting AI to existing systems and updating older applications that block data access, automation or reliable growth.
Track performance, manage access and risk, improve solutions after launch and identify the next priorities.
Start with your business goals and current workflows. We’ll help identify where AI, automation, integration, or software modernization can create measurable value – and what to prioritize first.
Enterprise AI transformation can create measurable value through faster modernization, improved forecasting, reduced waste, and stronger fraud detection. These examples show individual AI outcomes—not complete transformations. A full AI transformation connects projects through shared data, systems, controls, training, and a company-wide roadmap. The results below are publicly reported by other organizations and technology partners, each based on specific workflows, scopes, and measurement methods.
A software vendor reports automating more than 90% of intake for an unnamed specialty insurer handling over 3,000 claims annually.
Insurance · vendor-reported customer result
Amazon reports using AI-assisted transformation to upgrade tens of thousands of production applications, alongside an estimated $260M in annual efficiency gains.
Technology · Amazon
AT&T reports that governed AI assistants surface answers and prepare call notes, reducing information-search time for customer-care agents.
Telecommunications · AT&T · reported by Microsoft
AWS reports that Indian grocery chain More Retail improved forecast accuracy, with 20% less perishable waste and 5% fewer stock-outs.
Retail · More Retail · reported by AWS
Siemens used AI-supported visual inspection as product variety increased. The result is reported by its technology provider.
Manufacturing · Siemens · provider-reported
UPS reported that its route-optimization system also saved approximately 10 million gallons of fuel annually.
Logistics · UPS
Mastercard reports using generative AI and graph analysis to identify at-risk cards before criminals can use them.
Payments · Mastercard
An observational survey measured the change after 42 days of AI-assisted note drafting among 265 respondents. It does not establish causation.
Healthcare · Mass General Brigham
BCG reports that redesigned AI-supported workflows reduced time spent on certain recurring marketing activities at Reckitt.
Consumer goods · Reckitt · reported by BCG
Business AI transformation starts from the workflow as it operates today – manual, automated or already AI-assisted. Use its current performance as the starting point to estimate what a connected, end-to-end change could unlock.
01Choose a workflow to explore
02Tell us what happens today
03Explore a time-saving scenario
The outlined section is the staff time that could be released.
Enter your numbers to see the capacity that could be redirected.
Compare up to three workflows.
| Workflow | Annual workload | Current effort cost | Time-saving scenario | Value of time released |
|---|
Through AI transformation consulting and implementation, we identify the right opportunities, prove their value, transform workflows, and scale what works.
We document goals, current workflows, systems, data, existing AI use, bottlenecks, and business measures. Opportunities are then ranked by value, feasibility, effort, risk, and readiness, with a roadmap showing what should happen first.
For the selected use case, we establish the baseline, define the target KPI, confirm data and integration needs, and test the solution under realistic conditions. If the evidence supports moving forward, we redesign the workflow around the new capability, build or improve the required technology, integrate it into real systems, and prepare users for production.
Once a solution proves useful, we help embed it into the operating model and expand it without losing control. That includes role-based training, change support, performance monitoring, stronger governance, reliability improvements, additional integrations, and the next transformation opportunities revealed by real operating data.
AI transformation rarely depends on one tool, one model, or one department. It comes from connecting business strategy, technology, workflows, and people to create meaningful operational improvements.
As an AI digital transformation company and AI implementation partner, Riseup Labs helps organizations move beyond AI experimentation by understanding business challenges, identifying high-impact AI opportunities, and implementing practical solutions that create measurable impact.
Years of Progress
Continuous growth and persistent innovation in global software development since 2009.
Countries Served
Enterprises across the Americas, Europe, and Asia relying on our digital transformations.
Completed Projects
Highly polished mobile, web, XR systems, and enterprise services engineered perfectly.
Global Clients
From grassroots UN agencies and governments to massive multinational corporations.
Trusted by Global Brands and Innovators in 30+ Countries.
Discover how our clients’ experiences highlight the results, relationships, and transformative impact we bring.
Explore our AI digital transformation services to identify where AI can create the biggest impact for your business and build a practical roadmap to move from ideas to real implementation.
Talk to an Expert
Connect with Riseup Labs' experts to get clarity and answers before you start.
AI Digital Transformation is the process of using artificial intelligence to improve business operations, automate workflows, and create measurable business value through strategic implementation.
Yes. There is no fee and no obligation to buy anything from us afterward. Before we start, we agree what we’ll examine, who we’ll speak to, what data we can see and how it will be protected.
Time with the people who run the workflows you want to examine, and access to the relevant processes, systems, data and any current AI tools or pilots. Agreeing the scope first keeps the work focused.
A free session helps leaders agree where AI can create value and how any existing work should improve. A workshop then identifies the workflows and systems worth examining. You can also skip training and go straight to the assessment.
Not necessarily. Some projects connect to what you already run. Others need changes to data or older applications. The roadmap says which, and what each costs.
We use your own numbers, such as time per item, error rate and cost. Each recommendation includes expected benefits, what those estimates depend on and the expected cost, so you can decide with evidence. We don’t promise a return before we’ve looked at your work.
Where useful, we continue tracking results, improving the solutions, training new users, strengthening controls and identifying additional priorities as the organization evolves.
Start a conversation with our team to solve complex challenges and move forward with confidence.
