From Business Problem to Working Automation
Good automation starts before the first line of code. Before we build anything, we need to understand how your business works, where your team spends time, which systems are involved, and what the automation actually needs to accomplish.
Digwave takes projects from discovery through design, development, testing, deployment, and ongoing support. The result should be a system your team can actually use, not just an impressive AI demo.
How We Work
Discovery Call
We Start With the Business, Not the Technology
The first conversation is about your business.
We'll discuss:
You don't need to arrive with a technical specification. You simply need to explain what is happening today.
Automation Audit
We Map What Actually Happens
Once we understand the problem, we look at the workflow in more detail.
We identify:
Not every problem needs AI. Sometimes a simple rule-based workflow is the better solution.
Sometimes AI is useful for conversations, classification, information extraction, or decision support. We determine the appropriate approach based on the process.
Solution Design
We Design the System Before Building It
Once the workflow is understood, we define how the automation should work.
This can include:
For example:
The system design gives everyone a clear understanding of what will be built.
Proposal
Clear Scope Before Development Starts
After the requirements and solution have been defined, we prepare the project proposal.
Depending on the project, this can cover:
The objective is to make the scope clear before development begins.
Development
We Build the Automation Around Your Workflow
Once the project is approved, development begins.
Depending on the system, this may involve:
We use the technology required by the workflow rather than forcing the project into a predefined technical setup.
Testing
We Test the System Before Your Team Relies on It
A successful demonstration isn't the same as a production-ready system.
We test the automation against different scenarios.
Testing depends on the complexity and risk of the system being built.
Deployment
Put the Automation Into the Real Workflow
Once the system has been tested, we connect it to the production environment.
This can include:
Deployment is handled carefully so your existing operations aren't disrupted unnecessarily.
Support and Improvement
We Don't Just Hand Over the System and Disappear
Real businesses change.
Your sales process changes.
Your CRM changes.
Your customers behave differently.
Your team discovers new requirements.
That's why automation often needs refinement after launch.
Depending on the project and support arrangement, Digwave can help with:
The exact support arrangement is defined as part of the project.
What Happens During a Project?
A typical project follows this path:
Each stage has a purpose.
We don't jump directly into development before understanding what we're building.
What We Need From You
You don't need to be technical.
The most useful information is usually about how your business works today.
For example:
Screenshots, workflow documents, process diagrams, CRM examples, and system access can also help during the appropriate stages of a project.
What We Don't Do
We Don’t Automate Everything
Some tasks are better handled by people.
We look for processes where automation can provide meaningful value.
We Don’t Start With a Tool
We don’t decide that you need a particular platform before understanding your workflow.
We Don’t Promise Magic
AI can be extremely useful, but it has limitations.
We design systems around defined use cases, business rules, testing, and human escalation.
We Don’t Treat Deployment as the Finish Line
A production system needs to work within the real business environment.
Support and refinement can be important after launch.
Where Humans Stay Involved
Automation should have clear boundaries.
For example:
Or:
This approach lets automation handle repetitive work while people remain responsible for decisions and conversations that require human judgment.
A Typical Automation Architecture
A simple Digwave system might look like:
Different projects can have very different architectures.
The diagram above is simply an example of how the components can work together.
How Long Does a Project Take?
There isn't one fixed timeline for every automation project.
Implementation depends on:
A focused lead qualification workflow may be much simpler than a multi-channel AI sales system connected to several business applications.
After the discovery and design stages, we can provide a project-specific timeline.
What Does an Automation Project Cost?
There is no useful one-size-fits-all price for custom automation.
A system involving:
is very different from:
The project scope determines the investment.
We define the requirements before preparing a proposal.
is very different from:
Is Digwave the Right Fit?
Digwave is built for businesses that have a real process to improve.
You may be a good fit if:
If you're only looking for a basic chatbot or a simple one-step integration, we may not be the right fit.
Frequently Asked Questions
We'll discuss your business, current workflow, systems, problems, and what you're trying to accomplish. You don't need a technical specification before the call.