Map the work your employees perform, find where automation creates value, and track which workflows are being explored or implemented — in one organisation-wide dashboard.
AI Adoption Index
46/100
62 / 84
Employees profiled
147
Opportunities
18
Blueprints created
4
Confirmed active
Most organisations cannot answer basic questions about their AI use. Vyrade brings them into one structured operating view.
The dashboard does not only show who is using AI — it shows whether AI is being converted into useful, governed, and measurable work.
The dashboard separates four types of metrics — so searching for a workflow is never mistaken for implementing one.
From employee roles, responsibilities, departments, and declared work.
From workflows searched, viewed, saved, compared, or discussed.
From Blueprints, exports, workflow status, ownership, and deployment.
From connected execution data or manually confirmed results.
Every workflow interaction moves through a defined progression — Vyrade separates curiosity, planning, implementation, and measured value.
Six levels from informal exploration to measured, optimised AI operations.
Employees use AI informally and search for tools, but processes are not documented.
Teams test prompts, tools, and workflow templates independently.
Processes become Automation Blueprints with defined rules, ownership, and outcomes.
Blueprints become working automations with approvals, validation, and acceptance criteria.
Successful automations are standardised, reused, governed, and expanded across departments.
The organisation measures cost, reliability, productivity, and business outcomes.
Relevant opportunities, Blueprint progress, adoption stage, and next actions.
Workflow coverage, implementation progress, blockers, costs, and gaps.
Organisation-wide adoption, department comparison, investment, and outcomes.
Complete requirements, architecture, acceptance criteria, and outdated outputs.
Manage multiple clients, teams, Blueprints, approvals, and assessments.
Vyrade never combines potential savings and confirmed outcomes into one misleading ROI number.
Estimated
180–260 hrs / month
Time-saving potential — derived from user-provided process data.
Confirmed
43 hrs / month
Confirmed through connected execution data or manually reported outcomes.
Recent automation stories and examples from teams putting these features to work.
Stop manually copying Facebook posts into Bolotatto. This guide shows how to use n8n to capture page posts, transform content, and deliver structured payloads to Bolotatto webhook endpoints for reliable publishing.
How to use n8n to automate social posts in 2025 — triggers, AI captions, channel delivery, troubleshooting, and ROI for stores, creators and teams.
Managing product launches shouldn’t mean endless copy-paste Every time a product goes live in Shopify, most merchants scramble: log into X (Twitter), draft a caption, paste into Telegram, maybe upload to Instagram. It’s repetitive, inconsistent, and easy to miss. A new product might sit for…
Map employee responsibilities, identify workflow opportunities, and understand how AI adoption is progressing across every department. Start with one role, one department, or your entire organisation.
