Choose industry and size. Get a prioritized picture of what works now, what is scaling, and how you get from individual tools to measurable business value.
Size changes the path to value. Not necessarily your AI maturity.
Choose industry and size.
Showing: Banking & finance · 2,000–4,999 employees
Move knowledge, decisions and control closer to the customer meeting, without compromising on traceability.
Make claims and risk flows faster, more consistent and more human where it really matters.
Connect machines, materials and people's know-how, and make the impact visible in OEE, quality and lead time.
Make every inventory, assortment and customer decision a little better. Thousands of times a day.
Move time from administration to patients, and start where the level of risk is manageable.
Anticipate disruptions, prioritize interventions and get more capacity out of assets you already have.
Make the firm's collective experience reusable, and move time from administration to client value.
Some companies capture the value. Most do not.
In short
Banks have the data and the repetitive decisions. The winners connect advice, risk, service and compliance in controlled workflows instead of standalone copilots.
Insurance combines large document volumes with clear decision points. That makes claims, underwriting and service strong candidates, if data quality and control are built in from the start.
Industry's best AI cases sit close to production. The value comes when sensor data, quality data and work orders change an actual maintenance, quality or planning flow.
Retail has frequent decisions and clear outcomes. Forecasting, inventory, search and service pay off quickly when customer, product and transaction data are connected.
In healthcare the fastest value often sits before the clinical decision: documentation, planning, patient flow and knowledge. Clinical models require a different level of evidence and control.
In asset-heavy businesses the value is created when sensor data and forecasts drive maintenance, capacity and field work. Not when they stay in a dashboard.
Service firms scale knowledge. AI pays off quickly in bids, analysis, meetings and delivery, but quality drops fast if the work is not designed around professional judgment.
For your size: A few initiatives have to carry clear accountability for results. Simplicity and a short path from decision to changed work are your advantage.
For your size: You have enough scale for several parallel value streams, and enough complexity for point solutions to create new silos fast.
For your size: The value is in the scale, but so is the cost of coordination. Start where a clear mandate and a defined domain can show the way.
Prioritization logic
Focused · The whole company, starting in one core process
Scaling · 2–4 value streams on a shared foundation
Enterprise · One function, business domain or region first
Less preparation time and more time with clients
Search, summarize and suggest the next action from approved internal sources, with a human decision kept in the flow.
For you: Start with one advisory team and 3–5 recurring question types.Connect CRM, product information and meeting follow-up in one value stream.Build it as a domain platform with evals, access control and reusable knowledge components.
Less manual work and better traceability
Extraction, classification, exception checks and draft documentation in high-volume processes.
For you: Choose one document type where every case follows the same control steps.Bring policy, data and case handling together in one shared control flow.Standardize controls and the chain of evidence across an entire risk or compliance domain.
Lower losses and faster risk response
Combine transaction patterns, network signals and caseworker support for better prioritization.
For you: Improve prioritization in an existing monitoring flow before you replace core systems.Link model output to case handling and a learning loop from verified cases.Coordinate real-time data, model risk and operational response across several product areas.
More relevant advice and higher customer value
From reactive service to situational advice that takes behavior, life events and risk into account.
For you: Test one defined customer segment with clear consent and suitability rules.Tie next-best-action to channel, advisor and a measurable customer outcome.Design a controlled agentic customer experience across several products and channels.
Shorter lead times and less data entry
Read the documentation, complete the case, suggest a classification and route it to the right handler.
For you: Choose one high-volume claim type with clear rules and a human in the loop.Connect intake, documents, decisions and customer communication in the same flow.Standardize claims orchestration across product lines with shared controls.
Faster quotes and more consistent decision support
Gather information from applications, reports and external sources, and flag exceptions for underwriters.
For you: Start in one segment with recurring documentation and clear referral rules.Build a shared risk picture that several product teams can use.Establish domain-wide evals, model risk management and decision logging.
Fewer incorrect payouts and better prioritization
Combine anomaly patterns, networks and text signals to focus investigators' time.
For you: Add AI prioritization on top of the existing investigation flow.Link detection to verified outcomes and continuous retraining.Share signals and controls across claims, product and channel.
Lower claims costs and stronger customer relationships
Use risk, weather and behavioral data for relevant warnings and preventive action.
For you: Test one risk area where the benefit to customers is easy to understand.Tie preventive advice to product, partner and measured claims outcome.Build an ongoing risk dialogue across the entire customer and asset portfolio.
Less downtime and faster troubleshooting
Combine condition data, history and technical documentation for the right action at the right time.
For you: Choose one critical machine family and a clear measure of downtime cost.Tie condition, spare parts and work orders to the same prioritization flow.Scale it as reusable asset intelligence across plants and business areas.
Less scrap and more consistent quality
Computer vision flags deviations and gives operators better decision support, with traceable feedback.
For you: Start on one production line where defect types and the baseline are known.Link detection to root cause, process step and improvement work.Standardize models, image data and quality evals for several sites.
Better delivery precision and capacity utilization
Forecasting and optimization help planners handle constraints, variation and disruptions.
For you: Optimize one planning decision that carries a heavy manual load.Bring orders, capacity, materials and scenarios together for one value stream.Build a control tower model across the network, plants and suppliers.
Faster problem solving and shorter time to first draft
Make manuals, drawing metadata, standards and experience searchable and actionable inside the workflow.
For you: Bring together one defined knowledge area where people spend a lot of time searching.Tie the assistant to the change, quoting or service process.Establish knowledge products and evals for each engineering domain.
Less waste, fewer stockouts and less tied-up capital
Forecasts at the right level of detail drive replenishment, promotions and assortment with local signals.
For you: Start with a category where waste or stockouts cost the most.Tie forecasts to replenishment and planners' decisions across several channels.Build a shared demand intelligence capability across markets and formats.
Faster answers and more time for customers
Make product, order and returns knowledge available in stores, the contact center and digital channels.
For you: Pick the 20 questions that drive the most search and waiting time.Connect the same knowledge layer to stores, e-commerce and the contact center.Orchestrate cross-channel service with shared identity and control.
Higher conversion and better relevance
Semantic search, recommendations and next best offer based on connected customer and product data.
For you: Optimize one customer path and one metric. Not the entire customer experience at once.Tie search, recommendations and promotions to the same experimentation model.Build real-time decisioning that is reused across brands, markets and channels.
Better margins without broad discounts
Price elasticity, scenario analysis and agent support help category teams make more precise decisions.
For you: Start with decision support and clear pricing guardrails in one category.Bring pricing, promotions, inventory and competitor data into one decision cycle.Establish governed optimization with guardrails across markets and channels.
More time with patients and less after-work
Summaries, drafts, coding and information handover, with clear review by staff.
For you: Choose one professional group and one document type that takes a lot of time.Link documentation to the next step in the patient and staffing flow.Standardize safe use and integration across a care domain.
Shorter waits and better use of resources
Forecast inflow, length of stay and bottlenecks so teams can act before queues build up.
For you: Start with a bottleneck where capacity decisions are made daily.Tie forecasts to staffing, beds and discharge planning.Build a shared operational picture across a hospital or region.
Faster, more consistent answers
Search and dialogue on quality-assured information for staff and administrative patient inquiries.
For you: Limit the scope to non-clinical questions with safe escalation paths.Share a knowledge base between the contact center, reception and the website.Establish evals, content ownership and access for each care domain.
Potential for better precision and prioritization
High potential, but it requires clinical evidence, regulatory handling and clear professional accountability.
For you: Only proceed with a validated solution, a clear target population and an accountable clinic.Build rollout, follow-up and incident handling around the clinical model.Treat it as a medical capability. Not as a general IT tool.
Fewer outages and more efficient field work
Combine condition, history, weather and criticality into prioritization people can act on.
For you: Choose one asset class with known failures and expensive emergency call-outs.Tie alarms to work orders, spare parts and verified outcomes.Scale asset intelligence across networks, regions and contractors.
Better balancing and investment decisions
Forecast demand, generation and constraints at the level where operational decisions are made.
For you: Start with one bottleneck and one decision that is made often.Tie forecasts to operational planning and capacity measures.Build scenario and optimization capability across the whole system.
Shorter response times and more first-time fixes
Optimize routing, skills, materials and work instructions around every job.
For you: Optimize one region and one job type with a clear baseline.Connect planning, mobile assistance and reporting back in the same flow.Orchestrate internal and external field capacity on shared data.
Faster response to disruptions across the whole system
A shared operational picture, impact analysis and suggested actions across assets and dependencies.
For you: Start with one recurring disruption and one decision team.Connect several data sources to a shared incident and response model.Build cross-domain orchestration with a clear human mandate.
Shorter sales cycles and more consistent quality
Find relevant credentials, analyze requirements and produce a quality-assured first draft.
For you: Start with one bid type and build in mandatory senior review.Connect CRM, CVs, cases, pricing and methodology in one shared proposal flow.Productize bid management with agents, quality gates and reuse.
Less searching and faster delivery
Make projects, templates and expertise searchable in context without mixing up permissions or client data.
For you: Limit the scope to one practice area and measure time to a useful answer.Build knowledge ownership and reuse across several teams.Establish a federated knowledge architecture for each client and service domain.
More delivery time and faster client follow-up
Automate background material, summaries and first drafts, with clear accountability for judgment and recommendations.
For you: Standardize one recurring delivery step with a simple quality check.Connect meetings, analysis, decisions and follow-up in one shared workflow.Build role-specific agents with client isolation and central governance.
Higher utilization and earlier risk management
Match skills, forecast capacity and catch scope or margin risk before it gets expensive.
For you: Start with capacity forecasting and visible skills data.Bring pipeline, staffing, delivery and margin into the same planning cycle.Orchestrate the portfolio with a shared taxonomy and clear decision rules.
A hypothesis to validate. Not a standard plan.
Baseline, a prioritized workflow, a risk framework and the first solution in real work.
Connect the right data, train the roles affected and make follow-up part of line management.
Scale the pattern to two adjacent processes without building a heavy AI organization.
Value map, current state, three prioritized workflows and shared design principles.
Put 1–2 workflows into production and establish the data and governance capabilities the next workflow can reuse.
Establish hub-and-spoke, AI champions and measurement from initiative to EBIT, revenue or service outcome.
Sponsor, value stream, architecture, regulatory requirements and a measurable first release.
Put several connected workflows into production and prove a governance model that holds up to scrutiny.
Make data, agents, controls and training reusable for more domains.
Not Scalero engagements. Figures are quoted as each source reports them.
Singular Bank
60–90 min saved per advisor per day
An integrated assistant for portfolio analysis, meeting preparation and follow-up. Preparing for a client meeting went from about 20 minutes to under a minute.
BBVA
About 3 hours saved per user per week
Over 100,000 employees, structured leadership training, AI champions and up to 80% efficiency gains in selected workflows.
UNIQA SEE
85–90% shorter processing time
AI-based document handling cut the time for health-related insurance cases from 15–30 minutes to 2–3 minutes on average.
Zurich Insurance Group
500+ AI applications in production or development
The portfolio covers risk modeling, climate, fraud and faster claims handling, among other areas, with a focus on controlled scaling.
STADLER
30–40% time savings on common knowledge tasks
An industrial company with 650 employees built over 125 custom assistants and reached more than 85% daily active use.
Siemens
25% less reactive maintenance time in pilots
Senseye Maintenance Copilot is used for diagnostics and support across reactive, predictive and preventive maintenance.
Worten
11,000 hours saved per year
AI-based information search helps store staff find product answers faster and spend more time with customers.
IKEA
AI-based demand sensing in live operation
IKEA describes how local data and AI improve forecasting insight and the planning of demand and supply.
NHS Copilot Trial
43 minutes saved per person per day on average
A pilot across 90 NHS organizations measured administrative time savings and estimated a potential of five working weeks per person per year.
NHS A&E forecasting
Capacity forecasting in 50 organizations
AI is used to predict demand and help services plan patient flow and staffing ahead of peaks.
ACWA Power
Predictive maintenance across 90 assets
Real-time data, AI and a shared data foundation are used for proactive maintenance, lower costs and better safety in 14 countries.
E.ON
Data-driven grid management and predictive maintenance
Metering data and dashboards help control centers manage decentralized energy grids and keep them running.
BCG field experiment
25% faster and 40% higher quality on the right tasks
758 consultants took part. The study shows both the potential and the risk: outside the model's area of strength, participants were 19 percentage points less likely to get it right.
PA Consulting
3 hours saved per user per week
Copilot was rolled out with a focus on how freed-up time would be reinvested in higher-value work, not just on license usage.
We tie the value to ways of working, skills, data and systems in production, and build the capability so that the next initiative is faster than the first.
Thirty minutes. We look at where you stand and where the fastest value is. If we think you should wait, we will tell you.
