MSP automation progress - have your say for techpartner.news story Survey

Has your MSP gotten beyond the basic AI/automation experimentation most MSPs are familiar with, and is your business is seeing material outcomes?

If so, we invite you to help us cut through the hype by telling us about this for a techpartner.news story about how MSPs are using automation to achieve material outcomes.

Selected answers may be published by techpartner.news and edited for length and clarity.

Before you start: The audience for this story is MSPs, so please no promotional answers or generic AI commentary. Be specific: tell us what you actually built, changed, stopped doing, decided or measured, and material outcomes. Concrete examples are especially useful.

Questions? You can contact the techpartner.news editorial team here.

Thank you - the techpartner.news editorial team

Questions (Aim for 3–5 sentences per question)

1.Required: Your full name (our interviews are with people, not companies), job title, full company name.(Required.)

2.Required: Your work email address. In case we need to contact you about publishing your answers.(Required.)

3.Required: What are you doing?
What are you doing with AI or automation beyond the basic experimentation most MSPs are familiar with, and what material business outcomes are you seeing?(Required.)

Then please choose at least three of the questions below:

4.How you’re doing it
How are you actually doing this in practice? What have you had to build, integrate, change or stop doing? Eg. building own tools, replacing commercial software, changing data foundations, redesigning workflows.

5.Measuring the return
How are you measuring whether it is genuinely working? What outcomes are you aiming for, what are the results so far? Give a concrete example, including numbers if you’re comfortable with that.

6.Making money from it
Are you turning any of these capabilities into new customer services or revenue streams? If so, what are you selling, how are you packaging or charging for it, and why did you choose that model?

7.Hard decisions
What hard decisions or trade-offs is any of the above creating for you? What did you decide and why was it difficult?

8.People and skills
What has had to change in your people, skills or culture to make progress? Please no generic claims about having a great culture. Tell us anything you actually changed or are doing differently, such as hiring, roles, training, incentives or how teams work.

9.What hasn’t worked?
What hasn’t worked, or what parts of the AI hype don’t match the reality you’re experiencing?