AI agent consulting that ends in working agents

Many AI consulting projects end with a slide deck. Switch consulting ends with AI employees running in your Teams or Slack, measured against a goal you set.

Consulting that ends in something running

AI consulting often stops at a strategy deck and a list of ideas. The team nods, the deck goes into a folder and nothing changes on Monday morning. Switch does the advisory part too, but the output is AI employees working in your Teams or Slack.

We start with a workshop or one-on-ones to understand where the team loses time. From that we build a short proposal for leadership: which AI employees we'd build, what each one does, which tools it uses and the expected impact in hours or euros.

From advice to results

Once the proposal is agreed, Switch builds the agents, rolls them out to the team and holds weekly implementation calls. Those calls are where the real consulting happens: we look at what the AI employees did, what people approved or changed, and what to adjust next.

If you'd rather build yourself, the Platform plan gives your team the tools and one onboarding call to get started. Either way the focus stays on business impact rather than features.

Where to go from here

We start by looking at the work your teams repeat every week and tell you honestly which of it suits an AI employee. A typical first candidate is "map where your team loses time" in Workshop or one-on-ones: the AI employee prepares list of jobs with hours per week, and the leadership approves it.

Switch builds custom AI employees and judges them on business impact: we agree the goal before building and measure it together after. Build them yourself on Platform after one onboarding call, or let Switch do it on Managed. A free test with a Switch team member is the easiest way to see it.

Example jobs

Map where your team loses time

Workshop or one-on-ones

List of jobs with hours per week

Leadership

Present what we will build

Leadership presentation

Build proposal with expected impact

Team lead

Build, deploy and measure

Switch Managed

AI employees and weekly results

Owner

See what an AI employee would do for your team.

30 minutes with Switch. We map your first agents with you.

Book a meeting →

How it works with Switch

  1. Step 1

    Agree the plan

    Agree the steps, owners and dates together.

  2. Step 2

    Map your needs

    Understand your workflow, pain points and goals.

  3. Step 3

    See it on your work

    See a working agent on your own workflow.

  4. Step 4

    Business case

    Connect the value to cost, revenue and margin.

  5. Step 5

    Price and terms

    Agree scope and price for one first agent.

  6. Step 6

    References

    Hear from customers who have done it.

  7. Step 7

    Procurement

    Clear legal, security and vendor onboarding.

  8. Step 8

    Sign and start

    Sign the shared scope and book the kick-off.

Questions

Do you only advise, or also build?

Both. Switch Managed includes the workshop, the build proposal, building up to five agents, rollout and weekly support.

Does a person still approve the work?

Yes. Every AI employee hands its result to a named person in Teams or Slack, who approves, edits or rejects it before anything is sent or changed.

Will AI employees replace people on the team?

No. They take repeatable work off the team's plate so people spend their time on judgement, customers and decisions.

How do we get started?

Start with a free test together with a Switch team member, then choose Platform to build your own AI employees or Managed to have Switch find, build and roll them out for you.