Bring process and AI or data expertise together around a real operational problem.
WHEN TO CALL US
You see several AI opportunities but lack enough evidence to decide what to fund, prepare, defer or stop.
WHAT WE DO
We examine selected workflows and assess the baseline, value potential, readiness, cost, risk and technical feasibility.
WHAT YOU GET
An executive decision pack with a prioritised opportunity view, business-case scenarios, a transformation backlog and recommended actions for the next 90 days.
EXAMPLES
Redesign work around the strengths of people, AI and systems.
WHEN TO CALL US
You see several AI opportunities but lack enough evidence to decide what to fund, prepare, defer or stop.
WHAT WE DO
We examine selected workflows and assess the baseline, value potential, readiness, cost, risk and technical feasibility.
WHAT YOU GET
An executive decision pack with a prioritised opportunity view, business-case scenarios, a transformation backlog and recommended actions for the next 90 days.
EXAMPLES
Make AI part of how managers lead and organise work.
WHEN TO CALL US
A team needs additional capability to analyse, redesign or improve work where domain knowledge and AI or data expertise must come together.
WHAT WE DO
We start with the work and capability required, then provide one hybrid specialist, complementary experts or a multidisciplinary team. The engagement can take the form of embedded expertise, a focused sprint or a capability pod.
WHAT YOU GET
The expertise and delivery shape required to move a defined operational problem forward.
EXAMPLES
Decide what to fund, prepare, defer or stop before scaling.
WHEN TO CALL US
Managers and teams have access to AI, but delegation, review, decision-making and accountability have not changed.
WHAT WE DO
We work with leaders and teams on a real area of work, redesigning routines, roles, review points and management practices around appropriate use of AI.
WHAT YOU GET
A workable management approach that keeps people accountable while using AI where it improves the work.
EXAMPLES
WHEN TO CALL US
You need experienced practitioners to strengthen a team, cover a capability gap or support a defined period of change.
WHAT WE DO
We clarify the work, ownership and operating context before selecting the profile. We can support local teams and international or cross-border models, from one specialist to several complementary practitioners, for short-term or longer-term needs.
WAYS TO EXTEND THE TEAM
Local Team Extension
Add experienced specialists to your existing team in the market where you operate.
International / Cross-border Team Extension
Build or extend a team across markets when the capability you need is not available locally, or when a nearshore or cross-border model gives you better access, scale or flexibility.
TYPICAL STARTING POINTS
Finance, HR, procurement, operations and transformation specialists
Local, international and cross-border team needs
Project, programme and process expertise
One specialist or a coordinated group
PROCESS + AI CAPABILITY
Process + AI Capability applies our capability-building model to operational problems that require process knowledge and AI or data expertise - through embedded expertise, a focused sprint or a governed capability pod.
Measure and adapt. Track performance, quality, adoption and released capacity, then adjust the model.
04
Prepare implementation. Translate the design into requirements, controls, partner briefs and a roadmap.
Redesign roles and decisions.
Define responsibilities, decision rights, review points and management routines.
Added expertise across finance, treasury, audit, analytics and related areas.
Expanded into focused specialist teams.
06
05
04
Allocate work deliberately.
Decide what stays human, what moves to systems and where AI should support the work.
01
02
03
Remove and simplify.
Eliminate unnecessary work before adding AI.
Start with real work. Map the workflow, tasks, decisions, pain points and current performance.
05
04
03
02
01
Measure and adapt. Track performance, quality, adoption and released capacity, then adjust the model.
Prepare implementation. Translate the design into requirements, controls, partner briefs and a roadmap.
Redesign roles and decisions.
Define responsibilities, decision rights, review points and management routines.
Allocate work deliberately.
Decide what stays human, what moves to systems and where AI should support the work.
Remove and simplify.
Eliminate unnecessary work before adding AI.
Start with real work. Map the workflow, tasks, decisions, pain points and current performance.
06
05
04
03
02
01
Set thresholds for exceptions, risk or uncertainty that require escalation.
Define where human review is required and what evidence it uses.
Name the person accountable for the business decision.
AI-enabled work needs explicit accountability. For each workflow, define who makes the decision, who reviews the output and when an issue must be escalated.
We translate the future workflow into business requirements, controls, a partner brief and an implementation roadmap. We can then support pilot design, adoption and operationalisation within the agreed scope.
ADOPTION
PILOT
ROADMAP
PARTNER BRIEF
REQUIREMENTS
REDESIGN
We work with the technology and platforms that best fit the client's operating needs. Where suitable solutions already exist, we build around them. Where choices still need to be made, we can help define requirements and evaluate the right technology or specialist partner. Our independence keeps the focus on the work, operating model and business outcome.
Engineering or configuration, integration, technical testing, deployment and technical run responsibilities in scope.
Business accountability, technology strategy, final technology and investment decisions, systems and data access, and security approvals.
Business problem, workflow and role redesign, business requirements, governance, adoption and technology / partner selection support.
Redesign work around the strengths of people, AI and systems.
Decide what to fund, prepare, defer or stop before scaling.
Bring process and AI or data expertise together around a real operational problem.
Make AI part of how managers lead and organise work.
You do not need a finished AI use case or technology brief. Start with a business problem, a process or a recurring piece of work. We will help assess the opportunity and shape the right next step.
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Helprise AG, Dammstrasse 19, 6300 Zug, Switzerland
Helprise is a practitioner-led transformation and operations partner. Our people have built, run and transformed the kinds of operations our clients manage today — and bring that experience to building capability, delivering change and improving performance.