Business transformation · AI agents · Measurable results
AI that works inside your processes, not next to them.
We combine more than 20 years of international business transformation experience with deep AI expertise. We know where processes lose time and money – and how AI agents can win it back, with your team in control.
- 20+years of business transformation in international organisations
- 8European countries where we have delivered programmes
- 8industries, from insurance and banking to the public sector
- 1partner from strategy to measured results
Approach
From business goal to measured result.
We don’t start with technology. We start with the goal and the KPIs, and bring AI in where it genuinely shortens the work.
- 01Goal & KPIsWhat must change, and how we will measure it.
- 02ProcessHow work flows today and where it loses time.
- 03Solution designA new way of working for people, systems and AI.
- 04AI agentsAI takes the repetitive steps; people keep the decisions.
- 05DeliveryIterative, side by side with your team.
- 06ResultsMeasured against the baseline, then a decision to scale.
Why MOS-AI-K
Experience knows where. AI knows how.
A mosaic comes together when the right pieces land in the right place. AI in a business works the same way.
- Experience
Two decades inside processes
More than 20 years of transformation in insurance, banking, life sciences, the public sector and energy. We know where processes jam and where projects lose momentum.
- AI
AI known from the inside
We know what AI can do today, where it gets things wrong and how to keep it in check. We fit AI to the job, not the job to the latest tool.
- Together
A partner that delivers
One team that understands both your business and AI. No translation layer between adviser, integrator and technology vendor.
AI without experience is an impressive demo. Experience without AI is a process from ten years ago. Together, they are transformation that works on an ordinary Monday morning.
Challenges
Where transformation usually stalls.
Rarely all at once. Usually one or two of these situations cost a company the most.
- 01
A process scattered across people and systems
Work moves between e-mails, spreadsheets and several applications. Nobody sees the whole picture.
What we doWe put the process in order end to end and give it a single owner – before we automate anything.
- 02
Manual work where it doesn’t belong
Teams re-key data, chase documents and hunt for information instead of serving customers.
What we doWe hand repetitive work to AI agents and leave decisions and relationships to people.
- 03
Change that takes months
A new product or a new regulation means a long project involving many teams.
What we doWe build for change – from parts that can be rearranged quickly.
- 04
AI stuck in pilots, not in operations
The pilot impresses, but never reaches day-to-day work: the process, the data and the oversight rules are missing.
What we doWe embed AI in the process: clear scope, permissions, human approval and KPIs.
- 05
Investment without measurable impact
The programme is running, but it is hard to show the board what it has changed.
What we doWe agree KPIs and a baseline before we start, and verify the result after go-live.
- 06
Success that doesn’t scale
A successful project stays an island, and the next one starts from scratch.
What we doWe set up shared standards and a centre of expertise, so proven patterns reach the next processes.
What we bring
Business, process and AI in one team.
Six capabilities that together turn AI into business results.
Business transformation
We run transformation programmes for international companies – from strategy through delivery to the daily work of teams.
What it gives youThe business goal survives the journey to a working solution.
What we measureProcess redesign
We simplify and standardise processes before we automate them: claims handling, client onboarding, back-office operations.
What it gives youWe automate a good process instead of cementing a bad one.
What we measureAI agents in operations
We design and deploy AI agents that read documents, assemble cases and prepare decisions.
What it gives youYour team spends its time where people are irreplaceable.
What we measureConnected to your systems
AI works on real data in the systems you already have – no re-keying, no parallel worlds.
What it gives youFaster go-live and a single source of truth.
What we measureControl and security
Every agent has a defined job, permissions and human oversight, and every action it takes leaves a record.
What it gives youAI that the board, the auditors and the regulator can trust.
What we measureMeasurement and scale
We measure impact against the baseline and carry proven patterns over to the next processes.
What it gives youOne success becomes the standard across the organisation.
What we measure
AI in your processes
An AI agent is a new team member, not a magic box.
An AI agent works towards a defined goal: it plans the next steps, uses the company’s systems and documents, and carries out permitted actions. Like any team member, it needs a defined job, permissions, supervision and performance reviews.
One job, done well
Every agent has a clear role: it classifies requests, reads documents, assembles a case or prepares a decision.
A team of agents
In complex processes several agents work with each other and with people – in one orderly flow.
Working on your data
Agents use the systems already running in your company instead of creating yet more copies of data.
People decide
We set the level of autonomy for each step. Decisions with business consequences are approved by a person.
Permissions and a record
An agent gets only the permissions it needs, and every action it takes can be traced.
Continuous quality checks
We measure the quality of agents’ work before go-live and for as long as they run.
Autonomy is a setting, not a feature
- 01Assists
- 02Suggests
- 03Acts after approval
- 04Acts within set limits
For each step we decide what the agent does on its own, what it only suggests and what a person approves. Where AI gives no advantage, we say so.
Use cases
Processes we know inside out.
We have spent years designing and improving them. Today we know exactly where AI makes the biggest difference.
- 01
Claims handling
How we know itClaims processes at insurance groups in Sweden and the Netherlands.
- Challenge
Claims arrive through different channels, documents are collected by hand and handlers lose time on administration.
- What we change
AI agents classify claims, read documents and assemble the case file. The handler receives a ready case and makes the decision.
- What we measure
- claim handling time
- cost per claim
- share of claims with no manual work
- Challenge
- 02
Client onboarding and verification
How we know itA client acquisition programme at a bank in Switzerland.
- Challenge
Starting a relationship takes many documents and data from several sources, and every follow-up request slows things down.
- What we change
AI checks completeness, prepares an initial risk assessment and drafts questions for the client. An analyst approves the decision.
- What we measure
- time to active client
- follow-up requests
- drop-off rate
- Challenge
- 03
Back-office operations
How we know itStandardising and centralising an insurer’s operations across Central Europe.
- Challenge
Changes, correspondence and exceptions are handled by hand, using data from many systems.
- What we change
We standardise the process first; then agents prepare changes and correspondence. Exceptions go to people.
- What we measure
- team productivity
- error rate
- volume handled
- Challenge
- 04
Customer service
How we know itCustomer service in financial markets and customer experience for a luxury brand.
- Challenge
Service staff search several places before they can answer a customer.
- What we change
An AI assistant summarises the customer’s history, suggests the next step and drafts a reply for the representative to approve.
- What we measure
- handling time
- first-contact resolution
- customer satisfaction
- Challenge
- 05
Regulatory processes
How we know itTransformation programmes at pharmaceutical companies in Switzerland, the UK, Germany and France.
- Challenge
Many documents, many versions and strict audits.
- What we change
AI checks documentation for completeness and tracks changes. Final approval always stays with a person.
- What we measure
- documentation lead time
- audit findings
- compliance risk
- Challenge
Experience
More than 20 years of transformation across 8 industries.
We bring experience from programmes delivered for international companies and institutions across Europe.
Insurance
Claims handling, policy administration, centres of expertise.
Banking and financial markets
Client onboarding, process governance, customer service.
Life sciences
Transformation and regulatory compliance at pharmaceutical companies.
Public sector
Modernising public services and nationwide citizen services.
Energy
Energy efficiency and energy management programmes.
Luxury goods
Customer experience and operational efficiency.
Travel
Process improvement at a global provider to the travel industry.
Telecommunications
Business customer management and fault handling.
Selected programmes
Digital transformation for multinational corporations
Programmes for companies in life sciences, the public sector, luxury goods and energy in Switzerland, the UK, Germany, France and Norway – from strategy to day-to-day operations.
Impact onClaims handling at an insurance group
A claims programme and a centre of expertise that brings order to planning and delivering new initiatives across the group.
Impact onStandardising operations across Central Europe
Harmonising and centralising policy administration in an insurer’s regional programme.
Impact onPublic services at national scale
Bringing government services together in a single portal that citizens across the country use every day.
Impact on
How we work
We start with one process.
The first process shows the impact. We then carry proven patterns over to the next ones.
- 01DiscoverWe pick the process with the greatest potential and measure how it works today.
- 02AssessWe check the data, the risks and the team’s readiness.
- 03DesignWe design the new way of working and the level of AI autonomy.
- 04DeliverWe build iteratively, side by side with your team.
- 05MeasureWe compare the KPIs with the baseline.
- 06ScaleWe carry proven patterns over to the next processes.
We speak the language of results
Every project has a baseline, a target and verification after go-live. We measure what the board sees.
Process cycle time
From the triggering event to a closed case.
Cost per case
What one case or transaction costs.
Share of manual work
How much work still needs human hands.
Quality
Rate of rework, returns and complaints.
Decision speed
Time from complete data to a decision.
Customer satisfaction
How the change looks from the customer’s side.
Contact
Let’s talk about the process that costs you the most today.
Let’s pick one process and see how much it can gain: which steps AI takes over, what stays with people and how we will measure the result.
office@mos-ai-k.com