AnyWorkflow - About us
Built for our needs. Ready for yours.
Built for our needs. Ready for yours.
AnyWorkflow started as our internal orchestration platform at RecruitmentTechnologies. We needed a reliable way to connect systems and standardize automation — under governance.
Over a decade, we evolved our platform into a low-code, workflow-first runtime that embeds LLM/SLM steps under policy control, with human-in-the-loop where risk is high.
Today it powers 100,000+ workflows per day across our stack and is battle-tested for security, observability, and scale. We’re launching AnyWorkflow as a separate business so enterprise IT teams can run AI as governed workflows: model-agnostic, versioned, auditable, and deployable on-prem or in private cloud.
If you need AI that’s predictable, measurable, and compliant, we’d love to help.
AnyWorkflow turns AI into governed steps inside the workflows enterprises already run. Born inside RecruitmentTechnologies, we’ve used it for 10+ years to streamline operations and connect hundreds of APIs — now running 100,000+ workflows per day.
The workflow is the guardrail: LLM/SLM steps are added only where they add value, with policies, RBAC, approvals, and full audit trails.
We’re now making the platform available to enterprise IT teams that need predictable, measurable, compliant automation — on-prem or private cloud.
Do you have customer cases?
We’re our own first customer: 10+ years in production at RecruitmentTechnologies, running 100,000+ workflows per day. We’re currently onboarding a select group of early enterprise customers. Early access customers can join our design partner program to co-shape templates and governance.
How do you deploy?
On-prem or private cloud. Model-agnostic: run SLMs locally or via trusted APIs.
How is AI governed?
Policies, RBAC, approvals, audit trails, and SIEM-friendly logs are built in.
Pricing?
We’re in early access. Request the architecture & pricing brief during your discovery call.
Which AI models do you support?
Model-agnostic by design: use your preferred LLM/SLM via trusted APIs or run SLMs on-prem. You can change models without changing the workflow.
Data residency (EU)?
Yes. Deploy on-prem or in a region you control to meet EU data-residency requirements.
