For teams with a clear outcome and a messy path

Get more done with less manual work - in 4 weeks .

Assistant Engine runs governed AI agents in your environment, executing real work across your tools - within controlled workspaces and oversight.

Where conventional AI workflow tools struggle

  • Too many branches to model upfront
  • New edge cases after launch
  • Dynamic decisions based on context

Our approach

Built for dynamic work
  • Multiple controlled workspaces (context + tools + rules)
  • Agents that choose the path to the outcome
  • Agent works for a supervisor - supervisor guides, reviews, and stays responsible

Platform

Build, run and govern agents with clear boundaries. You decide where it runs, what it can access, and how it evolves.

Assistant Engine dashboard screenshot
Watch the demo

Self-serve agents & workspaces

Teams manage agents and workspaces end-to-end: configure, run, and iterate autonomously.

Communicate in your channels

Supervisors talk to agents in Slack (DMs or channels). Microsoft Teams and WhatsApp coming soon.

Private cloud / self-host

Run in a private cloud or on your servers to keep data and execution in your environment.

Next step

Share your use case and success criteria. You’ll get a demo tailored to your scenario and if it’s a fit, we can run a pilot and bring it to production.

What you get

  • Clear scope Success criteria upfront.
  • Working agent Connected to your environment.
  • 4-week timeline Pilot-ready outcome.

Founder note

Founder of Assistant Engine

“We ship agents that actually work in your environment - with clear boundaries, full visibility, and predictable delivery.”

Florian Weigang

Founder, Assistant Engine

LinkedIn

FAQs

Short answers for the usual questions.

Do you replace workflow tools?

No. Some use cases are perfect for workflows. We help when the process is dynamic, branching, or hard to fully model upfront - by giving an agent controlled workspaces instead of a single narrow workflow.

What does “controlled workspaces” mean?

Each workspace defines context + allowed tools + rules. The agent can decide the next step, but only within what’s enabled. You keep separation, safety boundaries, and visibility.

What happens in the 4 weeks?

Week 1: scope + success criteria. Weeks 2-3: implementation + integrations. Week 4: validation, handover, and production plan.

Can you connect to internal systems?

Usually yes. If an internal system exposes an API (or can be wrapped behind one), it can typically be connected.

Do you have references?

Yes - available on request.