Tools
See for yourself where AI and automation could help, with no sign-up and no personal data. You'll only find tools here that already work, and we mark what is still to come.
Three tools that work today and give a useful result in a few minutes.
AI process analysis
Describe a manual process and get a structured first assessment: automation opportunities, workflow, integrations, risks and the points that need human approval.
Strategy
Twelve questions across six dimensions, from strategy to governance. You get a score, blockers, three priority actions and a 90-day plan.
Business impact
Calculated only from your own numbers, with the formula shown and no assumed values.
Available tools work end to end. Tools marked “Coming soon” have a description only — no form and no start button.
Tools shown: 15
AI process analysis
Describe a manual process and get a structured first assessment: automation opportunities, workflow, integrations, risks and the points that need human approval.
Strategy
Twelve questions across six dimensions, from strategy to governance. You get a score, blockers, three priority actions and a 90-day plan.
Agents
Choose agents, the tools they may use and the approvals they need — and see the system as a diagram.
Business impact
Calculated only from your own numbers, with the formula shown and no assumed values.
Opportunity discovery
Rate up to five processes on nine criteria and see which are quick wins, which are complex projects and which automation pattern fits.
Architecture
Compose a solution from agents, integrations and approval points and get an architecture diagram to discuss.
Agents
Browse typical agent roles by business function: tasks, tools and limits. The catalogue is for planning, and the agents are not connected to your systems.
Cloud
A self-assessment across 10 areas — from landing zones, identity and network to resilience and FinOps — for AWS, Azure, GCP, hybrid and private environments.
DevOps
A self-assessment of delivery across 11 areas — from version control and CI to secrets, GitOps and incident learning. Optional metrics are not scored.
Reliability
A self-assessment across 11 areas: from golden signals and OpenTelemetry to SLOs, on-call, dependencies and resilience testing.
Commerce
A self-assessment across 11 areas: storefront, catalogue, orders, payments, search, analytics, SEO, support, integrations and operations.
Data
A self-assessment across 11 areas: from ownership and APIs to events, pipelines, data contracts, privacy, RAG and lineage.
AI governance
An educational self-assessment across 12 areas: from inventory and data classification to prompt injection, human oversight, traceability and retention.
AI operations
A self-assessment across 12 areas: versioning, evaluations, observability, cost, agent permissions, incidents, vendor portability and support.
Cost
A self-assessment across 12 areas: allocation, budgets, forecasting, commitments, Kubernetes, models, tokens, caching and alerts.
Describe the task briefly. We'll review it and propose an approach — including when AI isn't needed.
