From national commitment to measurable progress.
Alpha reconstructs the public chain across policy priorities, capabilities, programmes, financing, implementation and outcomes.
Concrete work
What you can ask Alpha to do.
The useful framing is not "meet an AI agent." The useful framing is: what work can an institution give Alpha, and what boundaries remain visible when the answer comes back?
Separate AMR funding from AMR-relevant investment.
Programme relevance does not become funding attribution. Alpha separates direct AMR capital, enabling investment and unresolved attribution.
See what is funded, implemented and still unresolved.
Alpha can compare countries or programmes with the same evidence method, without turning traceability into a country ranking.
Turn evidence into a reviewable intelligence pack.
Outputs can include a country brief, funding map, evidence ledger, source/claim matrix or executive briefing for review.
Ask Alpha
Example questions that fit the system.
Country"Where does Sri Lanka's public AMR evidence chain become incomplete?"
Capital"Which investments strengthen AMR-relevant laboratory capacity without being AMR-specific funding?"
Portfolio"Where does this portfolio have evidence gaps before the next funding decision?"
Briefing"Prepare a five-day evidence pack for an AMR implementation assessment in three countries."
What Alpha is allowed to say
Supported
The evidence meets the defined threshold and can carry the claim.
Partial
Relevant evidence exists, but the relationship is incomplete or not independently established.
Unknown
Public evidence is insufficient. The uncertainty remains part of the output.
What Alpha does not do
Alpha does not convert a commercially useful signal into a stronger evidence claim. It does not treat every related health programme as AMR funding. It does not publish without human approval.
Opportunity never overrides evidenceReview before releaseUnknown stays visible
AgentBrain layer
Alpha is the visible agent. AgentBrain is the control layer beneath it.
01Human objectiveThe decision question and success criteria are defined first.
02Alpha decomposesThe question becomes country, source, claim, gap and output work.
03Specialists collectEvidence work can run in parallel while remaining source bounded.
04Evidence reviewClaims can be downgraded or removed before synthesis.
05Human gatePublic release remains controlled by explicit approval.
Alpha is the AMR-specific expression of AgentBrain. The parent AMR use case explains the decision-intelligence frame. The AMR Alpha page shows what work the agent can actually perform inside that frame.
Open AMR Alpha →