We build the systems behind your growth.
We develop AI assistants, data platforms and automated sales flows for B2B companies. The team scopes the solution, integrates it with your existing systems and handles the ongoing maintenance.
Three delivery areas.
We deliver custom software, web data and pipeline engagements. The areas can be ordered separately or combined into one solution when the task spans across them.
Implemented AI solutions.
The projects include search across roughly one million documents, analysis of product archives and processing of executive interviews. The cases describe the users, the data foundation and the delivered software.
How we run a project.
The process is divided into four phases with separate decision points, deliverables and responsibilities.
Define the task
We map users, data sources, checkpoints and the effect the project must be able to document.
Test a prototype
A focused first scope tests the most important assumption with real data and selected users.
Integrate the solution
Interface, data processing and integrations come together. Human approval is added at critical decisions.
Maintain and extend
After launch we track errors, usage and changes in the sources. The solution is maintained and extended as needed.
Requirements for a usable solution.
A solution must fit the employees’ task, the available data sources and the company’s requirements for control and maintenance.
Technology choices
We choose technology based on the task, the data and the control the employee needs.
Integration
The result is delivered into the systems and processes where employees will use it.
Approval
Critical decisions get clear approval points, source context and the ability to correct the output.
Maintenance
We monitor data sources, models and usage, so the solution can be adapted as reality changes.
Documented pipeline.
The table summarises documented results from six pipeline engagements. The 1–3% benchmark applies to the overall response rate for cold outreach.
| Client | Industry | Campaign | Response rate | Positive replies* |
|---|---|---|---|---|
| Facility services company | Social Enterprise / Facility Services | Signal-Based + ABM | 31% | 20% |
| HealthTech company | MedTech / HealthTech | Signal-Based + Email + ABM + Social Listening | 21% | 28% |
| Business services company | Business Services / Company Administration | Signal-Based | 16% | — |
| Marketing agency | Digital Agency / Marketing | Signal-Based + Social Listening | 25% | 17% |
| ESG / SaaS company | ESG / SaaS | Signal-Based + ABM | 24.4% | — |
| Management consulting firm | Management Consulting | Signal-Based + ABM | 29.7% | — |
What our clients say.
Our clients describe their experience with the collaboration, the delivery and the use of the solutions.
At Mighty Admins, we have really enjoyed working with Wiinholt & Associates. They have been very proactive with ideas and the development of campaign material, despite our otherwise somewhat complex 'product'. On top of that, they have always been available for adjustments and sparring on the campaigns.
We invite potential customers to a demo of our AI visualization tool — and it opens doors that are otherwise hard to get through. In the meeting, we generate displays with the customer's own brand in real retail environments, live. People can see themselves in the solution right away. It has made our sales conversations significantly more concrete — and the hit rate on first meetings has clearly improved.
At BC Emballage, we have been very happy with our collaboration with Wiinholt & Associates. They have shown professionalism, great service and short execution times — things that are essential in a company like ours. They have moved us incredibly far in terms of our digitalization and the way we work with data. Our warmest recommendations.
When does a custom solution make sense?
A project is relevant when the task is well-defined, the data foundation is available, and a domain owner can evaluate the result.
Good fit
- A recurring task has real impact on revenue, capacity or quality
- You have documents, data or domain knowledge the solution can work with
- A domain owner can test the solution and anchor it in day-to-day work
- Off-the-shelf software doesn't match the way the work is actually done
Needs clarification
- You want a generic chatbot without a defined need
- No one in the organisation can own the solution or validate the output
- The goal is a demo with no plan for integration or operation
Seneste fra bloggen.
AI- og tech-nyheder set fra danske B2B-virksomheders side, med fokus på hvad de betyder for salg, marketing og drift.