The agentic execution layer
The execution layer that runs itself.
Describe what you want done. The agent declares it, runs it on your cadence, and watches it for you. Every result arrives with the evidence, a confidence score, and full lineage attached. You stop staring at dashboards.
A run, made legible
A message becomes a result.
Every reply is backed by a run, and the run is inspectable end to end, message to verdict. The same grammar appears in the product and on this page.
The spine
Describe. Execute. Verify.
Not a feature list. The lifecycle of every agent: a conversation becomes a declared spec, the spec runs and schedules itself, and the Trust Harness checks every result before it reaches you.
Describe
Tell the agent what you want to track or do, in plain language. It writes the spec for you. Power users can edit it directly. There is no form to fill.
Execute
The agent queries your sources, runs the work, and keeps it running. Continuous, always-on execution fires jobs into threads on the cadence you set, while you are away.
Verify
Every result passes the Trust Harness: validated, scored for confidence, lineage attached. High-confidence answers land in thread. Low-confidence ones escalate to you.
The agentic difference
A passive dashboard shows you the number. HAXAL acts on it.
| When this happens | A normal dashboard | A HAXAL agent |
|---|---|---|
| A key metric breaches a threshold | Shows you the worse number. You go find out why. | Notices it, finds the cause, drafts the action and asks you to approve. |
| A new release or batch ships | A static panel updates on the next refresh. | Fires a scheduled run and posts a summary into a thread. |
| "Why did this move?" | You write the query. You read the chart. | You ask in chat. It answers with evidence, a confidence score, and lineage. |
| The agent is unsure | No concept of unsure. It just renders. | Below the confidence gate, it stops and escalates to a human in thread. |
Why HAXAL
Three things a dashboard could never do.
Real answers, with receipts
Every reply carries the evidence, a confidence score, and full lineage. Nothing is asserted that cannot be traced back to a source. The proof arrives with the claim, not after it.
It runs itself
Continuous, always-on runs fire work into threads on your cadence. The 3am alert already has an answer waiting when you wake up. You stop babysitting screens.
Your data, isolated
Strong per-tenant isolation. Bring your own model and your own keys, stored by reference and resolved per run. We never log your secrets. Trust is the product, not a footnote.
Describe. The agent declares. The board renders.
The spec is the source of truth.
You speak. The agent emits a declarative spec. HAXAL renders the board from it. The same loop maintains it forever, so a new dashboard is a description, not a build.
"metric": "errorFree", "period": "weekly", "source": "observability", "auth": { "kind": "secret-ref", "keys": ["OBS_API_KEY"] }, "thresholds": { "redBelow": 99.0 }, // continuous schedule + attention rule "schedule": "hourly"
Trust, made tangible
Trust is the product, not an adjective.
HAXAL runs your agents against your credentials and your data. So the trust story is concrete primitives, not promises.
Per-tenant isolation
Strong database and instance isolation per tenant. No shared rows across customers, ever.
Keys by reference
Secrets are referenced by name and resolved per run. The spec never holds a key. Nothing is logged.
Every run recorded
Inputs, tool calls, the model exchange, and the verdict. Append-only, auditable forever.
Confidence gate
Low confidence or structural changes need an explicit in-thread accept before they land.
Kill switch
Stop any agent or schedule instantly. Human in the loop is a default, not an upgrade.
Bring your own model
Swap the model behind any agent. Model cost passes through transparently.
Where teams point it
One layer, many jobs.
Ops automation
Watch the signal, act on the breach, ask before anything risky.
dataIntegration & data ops
One metric definition across every source, reconciled and governed.
engEngineering teams
The board your team stares at, rebuilt as an agent you talk to.
workflowsMulti-agent workflows
An overseer that delegates to specialist agents and rolls it up.
Questions
The things you'd ask before trusting it.
Do you see our keys?
No. Sources are connected by secret reference, by name. Keys are resolved per run and never written to a log or held in a spec. A thread or run never sees another tenant's data or raw keys.
What happens when an agent is unsure?
It stops. Below the confidence gate, the agent does not guess. It posts what it found, marks the low confidence, and escalates to a human in the same thread for an explicit accept.
Can we choose the model?
Yes. Bring your own model key. Model cost passes through transparently. The agent logic is model-swappable.
How is our data isolated?
Strong per-tenant isolation, instance per tenant. No shared rows. Query-time access control and per-tenant scoping are enforced on top of your verified identity.
Is HAXAL available now?
HAXAL is in early access. Tell us what your team watches and we will set up an agent for it. Request access here.
Stop staring at dashboards.
HAXAL is in early access. Tell us what your team watches and we'll stand up an agent for it.