Give agents the context to solve the right problem.
Choose the right agent or team.
AxWise turns a goal into an evidence-backed execution brief: who the work is for, what outcome matters, what is known or uncertain, and which capabilities the work requires. It returns that context, an execution persona, and a ranked agent or team through a standalone API.
Use AxWise inside your own product or agent stack. Or connect it to Orqaly, where AxWise decision intelligence complements Orqaly's governed execution, monitoring, and delivery.
AxWise evaluates ambiguity, evidence sufficiency, consequence, and the value of more information. It chooses direct, evidence-assisted, bounded research, or human clarification before expensive research begins.
- Stakeholder: declared, not yet verified
- Evidence: insufficient for execution
- Candidate agents: authenticated Orqaly catalogue
The same contract works for operations, research, sales, services, compliance, or software goals. It does not assume the answer is code.
"routing_mode": "research_assisted",
"status": "pending_research",
"research_job": { "status": "queued" },
"requires_orqaly_authorization": true
}
Every recommendation is advisory. Orqaly revalidates tenant ownership, agent availability, policy, approval, budget, and tool access before execution.
From vague goal to grounded recommendation
Explore illustrative, domain-neutral scenarios. AxWise decides whether more research is valuable, resolves the customer and ideal executor, ranks existing Orqaly agents, and returns a trust-aware handoff. Orqaly's Consilium and workflow engine act downstream.
Warehouse Operations
The goal names the symptom, but the problem owner, decision-maker, evidence, and best executor still need to be resolved.
See what is quoted, inferred, or still unknown
Quote-backed persona fields retain the speaker, source document, exact quote, and character offsets. Select one of the four illustrative persona records, then hover over an extracted field to inspect its source. AxWise keeps those quotes separate from model inference and labels synthetic research as a hypothesis—not verified customer truth.
Interviewer: Lukas, how exactly do you handle raw store layout updates right now?
Lukas: Honestly, it's a completely manual mess.
We use Excel sheets to translate visual store designs in Figma into actual ordering volumes in our SAP ERP.
But maintaining 45 separate spreadsheets in Excel is incredibly labor-intensive and prone to errors.
If we make one typo, we end up over-ordering by 15% and throwing away fresh bakery goods.
AxWise advises. Orqaly decides what may run.
Every AxWise decision requires Orqaly authorization. The illustrative downstream check below shows the responsibility boundary: Orqaly validates tenant ownership, identity, agent availability, approval, budget, and connector permissions before any external action.
AxWise intelligence, connected to Orqaly execution
AxWise works independently as a cognitive decision API and can enhance different agentic or workflow products. The Orqaly use case below shows the two products working in synergy: AxWise returns context, evidence, an execution persona, and a ranked agent or team; Orqaly plans, authorises, and runs the work.
Vague Goal
Orqaly sends the goal, tenant context, constraints, and available Agent Hub profiles.
Customer + Executor
AxWise decides whether research is needed, resolves stakeholders, and recommends the best fit.
Orqaly Validates
Orqaly checks the tenant, agent, approval policy, budget, and connector permissions.
Goal-Aware Agent
Orqaly plans and runs the work with AxWise context applied as a goal-specific overlay.
Veronika Horvat
AxWise can shape a goal-specific CFO execution persona and recommend the matching Agent Hub profile. Orqaly alone activates the agent and grants any authorised, read-only access to finance or communication sources.
Example · Orqaly-executed- 📁 Finance / Q2 Planning Drive
- 💬 Slack History (#finance)
- 📧 Email correspondence archive
Hey Veronika, I need the latest Q2 projections for the board meeting. Can you send them?
CFO TWINHi! Pulling from Q2 Planning. Here is the file and key points:
@Veronika can you share the updated cash-flow model? I need it for the investor deck by noon.
Veronika is OOO. I found the latest version in her Finance folder:
One decision layer, many kinds of work
AxWise is not limited to software delivery or product management. It can clarify the customer, stakeholder, and ideal executor for operational, commercial, research, healthcare, public-service, and technical goals.
Stakeholder Resolution
Who is this really for?
Turns a vague objective into a structured view of customers, users, buyers, affected stakeholders, desired outcomes, constraints, and unresolved assumptions.
Evidence-Aware Personas
Customer + ideal executor
Produces operational customer and executor profiles with field-level provenance, confidence, quotes, inferences, and explicit working hypotheses when evidence is incomplete.
Agent & Team Fit
Recommendation, not execution
Ranks Orqaly Agent Hub profiles against task fit, customer fit, tools, constraints, and evidence—then returns the reason, confidence, and goal-specific persona overlay.
Decisions That Improve
Outcome feedback loop
Stores immutable decision records and learns from quality, time, cost, customer reaction, and success signals without silently rewriting the evidence behind earlier recommendations.
Give every agentic goal grounded context before execution.
Self-host AxWise or embed its API in your own product and agent stack. For governed end-to-end execution, connect it to an orchestration platform such as Orqaly. Deployment control supports your security and governance programme; it does not replace it.