AdvicompQuotes and configurators
Pricing rules, product variants, margins, approvals and proposal generation in one process.
OutcomeLess manual calculation, fewer exceptions handled outside the system and more control over every proposal.
A software house and SEO agency that understand your business
We organise processes before we start writing code.
We design internal applications, configurators and knowledge systems for companies where too much depends on emails, copying data by hand and the memory of a few people. We also build websites and run SEO and PPC when the problem begins with acquiring the right customer.
From problem to first module
Off-the-shelf software often does not fit. A bespoke system often starts too broad.
That is why we do not propose a large implementation blindly. First, we break a process down into data, decisions, rules and exceptions. Then we choose the smallest scope that can create a real effect.
- 01Process chaos
- 02Decision and data map
- 03First useful module
- 04Development based on use
Example implementation areas
A tool makes sense where a process has a cost.
Operations and delivery
A calendar, tasks, documents, ownership and job status available to the whole team.
OutcomeLess checking status by phone and less information getting lost between email, chat and spreadsheets.
Company data and knowledge
Integrations, dashboards and search tools that bring together information scattered across documents and systems.
OutcomeFaster access to information and decisions made with fuller context.
Website and customer acquisition
Marketing works better when the next step after a click is clear.
We design websites and campaigns around the sales process: from an enquiry, through lead qualification and a proposal, to follow-up. This keeps SEO and PPC connected to what happens after traffic arrives.
Websites
A clear offer, credible content and a path to a specific conversation or action.
SEO
Content and structure based on what potential customers are truly searching for.
PPC
Campaigns assessed not by traffic alone, but by enquiry quality and lead follow-up.
How we think
We do not start with features. We start with the source of cost.
We enter the process and break it down into data, decisions, exceptions and constraints. We check what truly creates cost, what should remain with people and where technology has the greatest effect.
Sometimes the answer is an application. Sometimes it is automating one stage, integrating existing tools or changing the process itself. We do not sell scope simply because we can build it.
Project leadership
You talk to the people who later deliver the solution.
We do not pass a project between organisational layers. The people who learn the problem and gather context later co-design the solution, make decisions and lead the launch.
For you, this means less repetition of the same information, a shorter path to a decision and more accountability on our side.
First conversation
We start with the problem, not a feature list. We establish what is not working, where cost appears and what is actually worth fixing.
Outcome: a shared definition of the problemProcess breakdown
We break the topic down into data, decisions, exceptions and constraints. We check what can be simplified through process and what truly needs technology.
Outcome: a fuller picture of risk and sources of costDecision on the solution
We compare possible interventions and choose the option with the best relationship between effect and cost. We do not build a larger system than the problem requires.
Outcome: sensible scope and the right priorityDesign and launch
The people who know the context take the project forward. Decisions happen faster, and you do not have to explain the same thing again to new people.
Outcome: fewer handoffs and a shorter path to actionDevelopment after launch
After launch, we observe what works and what needs correction. Further changes come from real use and real business needs.
Outcome: development without chaos or unnecessary layersThe same people lead the project throughout. We add capabilities when a specific problem genuinely requires them.
Technology decisions
Technology is a means, not the offer.
We choose solutions around process scale, integration needs and the cost of further development. We do not add AI, microservices or elaborate infrastructure just because they look good in a presentation.
First, we establish what actually needs to be built. Only then do we choose technology that can do it simply, predictably and without unnecessary layers.
A simple start
The first version should solve a specific problem, not predict every possible scenario. We start with a solution that can be launched quickly and maintained without unnecessary complexity.
Outcome: a shorter path to a working solutionClear boundaries
We clearly separate what belongs in the system from what should remain a simple process or a human decision. We do not try to force the whole world into one application.
Outcome: a system that does not spill beyond its sensible scopeIntegrations when they help
We connect tools when it genuinely shortens work, reduces errors or improves data flow. We do not add integrations just because they are technically possible.
Outcome: less manual copying and less unnecessary infrastructureAutomation with a reason
We automate the repeatable core, but do not pretend every exception can sensibly become a rule. We leave people with what truly requires judgement.
Outcome: a better relationship between effect and implementation costAI only where it makes sense
We use AI only when it creates concrete value: faster information retrieval, data classification or decision support. We do not add it as technological decoration.
Outcome: real usefulness instead of presentation effect
Technology should be proportionate to the problem. No larger.
Do you have a process that works only because someone watches it manually?
We will walk through it, identify the most sensible first scope and tell you plainly whether a dedicated tool is worth building.
No sales presentation and no obligation to begin a project.