How partners can offer BI and AI services to customers with CASAI
Construction and civil works projects are increasingly data-heavy, yet information is still often scattered. As a CASAI partner you can offer more than a platform — concrete decision support with structure, BI and AI.
Construction and civil works projects are becoming increasingly data-heavy, yet in many organisations information is still scattered across projects, roles, systems and documents. Important decisions are made too late, risks surface late, and leadership gets a simplified picture of reality. This is exactly where the combination of BI and AI becomes business-critical. CASAI helps customers move from fragmented project data to structured overview, analysis and better decisions in time.
For you as a partner, this is an opportunity to offer more than a platform. You can help the customer build concrete decision support around contract economics, quantity valuation, follow-up, documentation, approvals, variances and cash flow. That strengthens your offering, increases your relevance in customer dialogues, and opens both licence opportunities and your own service revenue — for example training, implementation and support packages around the way of working.
What can you offer the customer as a partner?
As a partner you can take the offering to market in three clear layers.
1. Structure and data foundation in CASAI
The first step is helping the customer collect, structure and quality-assure the data that already exists in their projects. That can include quantities, forecasts, extractions, documentation, approvals, communication, variances and other project data that otherwise tends to sit scattered. Without structure, neither BI nor AI creates real value.
As a partner you can offer services such as:
- onboarding the customer’s teams
- configuring workflows and structure in CASAI
- support for data quality and ways of working
- training on how project data should be documented and followed up
This aligns with how certified partners can take responsibility for implementation, configuration, training and other customer-facing services.
2. BI module for overview and control
Once the data is structured, the next step can be offering BI support. CASAI’s BI module gathers and visualises key metrics at project, portfolio and organisation level — for example cost, variances, extractions, documentation, approvals, communication and compliance.
For some customers a base version with standardised dashboards is enough (BI Light is included in the models). Others need more tailored views for different roles and control needs (BI Advanced).
As a partner you can therefore position BI as:
- a way to give leadership and project management a shared current picture
- a tool to detect variances earlier
- support for better follow-up of cash flow, documentation levels and approvals
- a foundation for professionalising control at project and portfolio level
In practice you can package this as a BI start, a dashboard workshop, or a follow-up package where you help the customer define KPIs, set up views and establish a regular way of working.
3. AI support for analysis and prioritisation
When the customer has progressed further in data maturity, you can offer AI support on top of the structured project information. The AI assistant in CASAI is part of the BI module. It does not replace human judgement — it strengthens it by analysing 30+ data points per project, finding patterns, identifying relationships, visualising development and creating triggers when something stands out.
As a partner you can help the customer use AI for questions such as:
- which projects deviate the most right now, and why?
- where do we see the greatest risk related to documentation and approvals?
- which signals tend to precede problems?
- what is slowing cash flow?
- which types of changes drive cost increases?
- which project patterns tend to lead to better or worse outcomes?
This moves the offering from pure follow-up towards more proactive control. For clients, value often sits in control, compliance and portfolio steering. For contractors, value often sits in cash flow, claims, change management, approvals, collaboration and protecting margins.
How to package the offering for customers
An effective way to take this to market is not to sell “BI” or “AI” as technology first, but as a decision and control package tied to concrete business problems.
You can position the offering like this:
Step 1 – Structure and control
We help you create order in project data, ways of working and documentation in CASAI so the right evidence is available at the right time.
Step 2 – BI and overview
We help you visualise key metrics and get a clear picture of the situation at project and portfolio level.
Step 3 – AI and analysis
We help you analyse patterns, identify risks earlier and prioritise the right actions before problems become expensive.
This makes the offering easier for the customer to understand. They are not buying “yet another system”, but a capability to move from fragmented information to better decisions.
When is this offering the best fit?
The offering is especially relevant in dialogues where you see any of the following:
- project data exists but is not used in a joined-up way
- leadership lacks overview of risks and variances
- documentation and approvals affect cash flow
- the organisation wants to strengthen compliance and traceability
- there is a need for better learning between projects
- the customer has started talking about AI but lacks the data foundation to get real value
That is often where you as a partner can take a more strategic role and help the customer start in the right place.
A recommended way into the customer dialogue
A good way to open the conversation is to ask questions such as:
- Where does your project data live today?
- How quickly do you see when a project starts to deviate?
- How do you follow up approvals, documentation and extractions today?
- Do you have a joined-up view of what affects forecasts or cash flow across the portfolio?
- What kind of decisions would you like to be able to make earlier than today?
Those questions move the conversation away from features and towards business value.