Concrete AI solutions

AI can make things cheaper.
But why settle for that alone?

We build AI solutions, automations, agents and tailored digital services that cut costs and manual work – and at the same time can improve service, decision-making and competitiveness, and even create entirely new business.

  1. Cost
  2. Service
  3. Competitive edge
  4. New business

From cost savings to new business

Efficiency is a good start. It doesn't have to be the end result.

The first business case of many AI projects is very simple: could this work be done with less effort and lower cost?

Often the answer is yes. But when the process is being rebuilt anyway, it is worth also asking: could the outcome at the same time be better for the customer than before?

Save

  • automation
  • less manual work
  • fewer errors
  • lower processing costs
  • more time for valuable work

Lower costs.

Improve

  • better customer experience
  • higher-quality reports
  • more personal recommendations
  • better decision-making
  • more real-time information
  • better service

More value for the customer.

Create new

  • a new digital service
  • a new AI capability
  • a SaaS product
  • a licensable system
  • a new service concept
  • a spin-off
  • an entirely new company

New business.

Where can AI create value?

The opportunities are in everyday work

The best AI opportunities are often where people handle a lot of information, repeat the same tasks, search for data across systems, serve customers, or make decisions on incomplete information.

Customer service

Customer service and complaints

Feedback, emails, complaints and support requests are handled manually. We can build an AI agent or automation that:

  • reads the message
  • understands the content
  • classifies the case
  • retrieves the needed information
  • drafts a reply
  • handles standard cases
  • escalates exceptions to a human
Cost benefit
Less manual handling.
Bigger benefit
More consistent service, and people's time for harder customer situations.
  • Workload
  • Cost
  • Service consistency

Reporting

Reporting

AI and automation can collect the data, combine sources, build the report, spot anomalies, compare trends, draw conclusions and suggest actions.

Before

  • Excel
  • Copy/paste
  • Checking the data
  • Compiling the report
  • To the customer

With AI

  • Data
  • Automatic analysis
  • Anomalies
  • Conclusions
  • Report
  • Human review
Cost benefit
Reporting requires less manual work.
Bigger benefit
The report can become a better decision-making tool.
  • Workload
  • Cost
  • Decision value

Sales

Sales and quotations

AI can draw on previous quotes, CRM data, product information, price lists, requests for quotation and documentation. The solution can build the first draft quote for the salesperson to review.

Cost benefit
Less expert time spent preparing quotes.
Bigger benefit
Sales time can be spent understanding the customer's real need.
  • Preparation time
  • Time with the customer

Production & data

Production and operational data

AI can detect anomalies, analyse production data, forecast, propose optimisation and give practical guidance.

Before

  • Measurement data
  • Manual monitoring
  • Late detection

With AI

  • Data
  • Analysis
  • Anomaly
  • Interpretation
  • Recommended action
Cost benefit
Anomalies and waste can be reacted to faster.
Bigger benefit
Data turns into concrete support for decisions.
  • Waste
  • Speed of reaction

AI CRM

CRM and intelligent matching

AI can match customer needs with products, services, properties, candidates, content or other options.

Cost benefit
Less manual searching and comparing.
Bigger benefit
More relevant suggestions and a more personal service.

AI agent

Your organisation's own AI expert

Company knowledge may live in SharePoint, CRM, documents, the intranet, instructions and in people's heads. We build an AI agent that knows your own knowledge base.

Cost benefit
Recurring questions no longer load the same experts.
Bigger benefit
Organisational know-how becomes available to everyone.

Visualisation

Visualisation that supports sales

Generative AI can use your own products, product data, images, customer logos, colours and personalisation.

Cost benefit
Fewer physical samples, photo shoots and demos.
Bigger benefit
The customer sees the solution before the buying decision.

Documents

Documents and large data sets

The solution can read, extract, combine, normalise, analyse, index and make information searchable.

Cost benefit
Less manual data gathering.
Bigger benefit
A passive document archive can become an active information service.

Tailored systems

Tailored systems

If off-the-shelf software forces a company to operate like everyone else, the solution can instead be built around the company's own operating model.

Cost benefit
AI-assisted software development now makes tailored solutions far more efficient to build.
Bigger benefit
The business doesn't have to bend to the system. The system can be built to support a competitive edge.

New business

A new AI product and business

A company may have unique industry expertise, its own method, valuable data, its own service model, or a problem others in the same industry also recognise.

  • concepting
  • service design
  • business model
  • building an MVP
  • the AI solution
  • software development
  • productisation

OutcomeA new SaaS service, a licensable solution, a spin-off or an entirely new business.

What if the most important result of an AI solution wasn't the saving?

Better service.

Better product.

Better decisions.

A new competitive edge.

New business.

That is the point where automation becomes business development.

Built in practice

How AI turns into concrete business

The value of AI only shows in practice. Here are examples of solutions Starmap AI's experts have helped build.

Freservant

From customer feedback to a smarter process

Challenge
Handling customer feedback and complaints involved repetitive manual work: reading messages, classifying them, looking up information and drafting replies.
Solution
An AI-powered automation was built that can:
  • read feedback
  • classify it
  • support drafting replies
  • move standard cases forward automatically
  • route exceptions to a human
Impact
Less routine work and a more efficient handling process.
Bigger value
Expert time can go to situations where human judgement creates the most value.

How a case flows

  1. Customer feedback
  2. AI understands
  3. Classification
  4. Information retrieval
  5. Draft reply
  6. Standard cases → forward
  7. Exception → human

Socon

From production data to recommended actions

Challenge
Industrial production data and lead times had to be monitored, anomalies detected and operations optimised.
Solution
A near real-time AI layer was built on top of the existing production service. The AI analyses data in the database, detects anomalies and forms optimisation proposals. Factory staff can see reports, analyses and recommended actions on a tablet.
Impact
Anomalies can be detected and understood better.
Bigger value
Data turns into concrete proposals on what to do next in production.

The production view

  1. Production data
  2. AI analysis
  3. ⚠ Anomaly
  4. Cause / interpretation
  5. Recommended action

Real estate brokerage

A CRM that adapts to the business – not the other way round

Challenge
Off-the-shelf CRM solutions did not match the client's own operating model. Brokers also had to match customer wishes against a large number of properties.
Solution
A custom CRM was built for the client, with an AI layer on top. The AI uses customer preferences and property data to help identify options that may suit the customer.
Impact
Less manual browsing of listings.
Bigger value
More relevant suggestions for customers and a system that supports the company's own way of working.
A company shouldn't have to change its competitive edge to fit a software package.
  1. Customer wishes
  2. Custom CRM
  3. AI matching
  4. Relevant properties
  5. Broker's judgement

B2B service company

From manual reporting to better customer service

Challenge
Customer reports were built by hand from several data sources.
Solution
The reporting process was automated. Data is collected and the report generated automatically. A human does a final review before sending.
  • less manual reporting
  • more consistent reports
  • time freed up for other work
Impact
Reporting takes less manual effort and reports are more consistent.
The best automation doesn't just produce the old report more cheaply. It can create an entirely new service.

Now

  1. Data
  2. Automatic report
  3. Human review
  4. To the customer

Next level

  1. Data
  2. Dashboard
  3. Trends
  4. Comparisons
  5. Forecasts
  6. Recommended actions

The next level

What if your internal solution became a new product?

If a company has:

  • strong industry expertise
  • its own method
  • valuable data
  • its own service model
  • a problem others in the same industry also recognise

the solution doesn't necessarily have to stay an internal development project. It can be productised.

  1. 01

    Internal problem

  2. 02

    Own solution

  3. 03

    Competitive edge

  4. 04

    Productisation

  5. 05

    New market

  • SaaS
  • licensable solution
  • new service
  • spin-off
  • new company
First you solve your own problem. Then you may notice that the solution has a whole market.

From idea to a working solution

You don't need to know in advance what should be built

  1. 01

    We understand the business

    Processes, costs, customers, data and systems.

  2. 02

    We find the most valuable opportunities

    We assess:

    • the cost benefit
    • customer value
    • feasibility
    • the investment
    • risk
    • strategic significance
  3. 03

    We prove the idea

    When needed:

    • a pilot
    • a demo
    • a proof of concept
    • a limited first implementation
  4. 04

    We build

    We implement the solution and the necessary integrations.

  5. 05

    We measure and improve

    We evaluate:

    • cost
    • workload
    • quality
    • errors
    • customer experience
    • decision-making
    • sales
    • new business opportunities

The goal is not to maximise automation

The best level of automation is not always 100 per cent.

In processes involving money, accountability, safety, customer relationships or exceptions, a human can deliberately stay in the loop.

AI

  • prepares
  • searches
  • analyses
  • classifies
  • suggests

Human

  • evaluates
  • decides
  • is accountable
The goal is not to automate as much as possible. The goal is to build the best way of working.

Where should you start?

You don't need to know yet which AI solution to build

It's enough that you recognise a problem, a process or an opportunity you'd like to develop. Together we can find out:

  • where unnecessary costs arise
  • where there is a lot of manual work
  • where AI could create the most value
  • where ordinary automation would be the better solution
  • what to do first
  • how the impact can be measured
  • whether a better service could be built at the same time
  • whether the idea could become a new product or business