AIMEC Alpha
Checking WebMCPLocal model

Discover · Diagnose · Delegate · Design · Verify

From AI idea to
grounded business case.

AIMEC exposes its business diagnostics through WebMCP, then lets two specialist agents use those same capabilities to evaluate an opportunity and design a practical implementation.

The specialists run on a local Qwen model through Ollama. Inputs must be public or synthetic. Results are directional planning outputs, not financial, security or compliance guarantees.

Agent 01AI Opportunity AnalystOpportunity, readiness and ROI
Agent 02AI Solution ArchitectArchitecture and operating cost
AIMEC tools5 business diagnosticsROI · Cost · Data · Agentic · AI readiness
Model runtimeQwen via OllamaLocal inference

01 / Business context

Give AIMEC an opportunity to evaluate

The preset contains a synthetic invoice-processing scenario. Edit any assumption and rerun it.

Connecting to the governed capability registry…

Use this page through WebMCP

An external agent can call get_available_tools and get_available_agents, execute a business diagnostic with run_tool, or delegate to either specialist with delegate_task. The returned job_id works with status, result and evidence tools.

02 / Agent workspace

Business case output

Not run

Results are isolated to this browser session.

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Ready for a real model run

Run the full flow to see deterministic AIMEC diagnostics grounded into two Qwen specialist responses.

Execution evidence

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    Inspect full structured result
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