The Aiske Portal

Everything your AI programme needs, in one place.

This is a live demo — the actual production portal from the founder's last company-wide transformation, rebadged. Every page below is real: real training, real dashboards, real governance.

Note: dashboard pages pull from live company data sources, so some charts show placeholders in this offline demo. Aiske deploys the same portal under your brand, wired to your data. You can also open the portal's own hub page →

Learn

role-based training, from first prompt to power user
Claude Training — Sessions 1–4
Foundations to automation: the full four-session curriculum with slides.
Claude Cowork
Agentic work for non-developers — projects, skills and connectors.
Claude Design
Design workflows with AI — from briefs to hi-fi output.
Claude Code for Non-Developers
Terminal-shy? A gentle on-ramp to agentic coding for any role.
AI Coding Modes
Assisted, agentic, autonomous — choosing the right mode per task.
Dynamic Workflows
Turning repeated prompts into shared, triggerable skills.
Plugins & Connectors
Anthropic & partner plugins — what to connect and why.
My AI Coach
A personal coach that meets each employee at their level.

Measure

adoption you can see — usage, outcomes, sentiment
AI Adoption Pulse
Team-by-team sentiment and usage pulse, refreshed automatically.
Leaderboard
Who's using AI most — friendly pressure that moves the numbers.
Usage Analytics
7/14/30-day usage across the whole organisation.
Commercial — 14-Day Outcomes
What sales, support and CS actually shipped with AI this fortnight.
Product & Tech — 14-Day Outcomes
Engineering and product outcomes, cycle over cycle.
Engineering Metrics
AI-assisted PRs, throughput, cycle time and revert rate.
DevEx Pulse
How AI-native development feels to the people doing it.
AI Health
Quality and reliability of AI systems in production.
Time Savings
Hours back per team — the ROI line leadership asks for.

Govern

policy, architecture and standards that keep it safe
AI Governance
Acceptable use, data handling, approvals — the working policy.
AI Models in Use
The approved model registry — what runs where, and why.
AI Agent Protocols
MCP, A2UI and friends — the standards agents are built on.
AI-Native SDLC
How software gets built when agents join the team.
AI Integration Ecosystem
The full map: connectors, agents and systems, end to end.
Customer AI Agent Architecture
A worked example of a customer-facing agent, end to end.

This portal, under your brand, in weeks.

Training swapped for your tools, dashboards wired to your data, governance adapted to your policies. SSO included.

Request a walkthrough Back to aiske.ai
aiske.ai

Sneak preview

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