Safe tool-calling
Typed, scoped tool contracts. Irreversible operations require confidence thresholds or human approval.
A governed workforce of agents that triage, reason, call your tools, verify the result, and escalate only when a human truly needs to step in — every move recorded like an operational black box.
Most agents talk.
KONTROL acts with proof.
And stops before damage.
Typed, scoped tool contracts. Irreversible operations require confidence thresholds or human approval.
Agents pick up work the second it lands, then route failures to the right human with context intact.
Brand rules, compliance notes, customer state, and escalation playbooks stay inside the decision path.
Step through any run frame by frame: input, retrieval, tool call, policy check, output, final state.
Prompt changes are scored before rollout. Bad behavior gets caught before customers see it.
Every decision gets a durable trail with evidence, result, model version, actor, and risk label.
Escalations arrive with the research already done — no repeat questions, no cold starts.
Leaders can adjust thresholds, tools, and playbooks without breaking the agent's operating envelope.
A perspective product mockup rotates through the core operating views: live queue, proof ledger, playbook builder, and eval lab.
KONTROL watches tickets, CRM events, docs, product signals, billing exceptions, and workflow failures.
The agent reasons against playbooks, confidence bands, allow-lists, and escalation rules before touching a tool.
Tool calls are typed, permissioned, logged, and reversible when the underlying system supports rollback.
After each run, KONTROL stores evidence, actor, policy version, model version, tool result, and outcome.
| Run ID | Agent | Intent | Tool | Risk | Evidence | Status |
|---|---|---|---|---|---|---|
| AXN-9A12 | Triage-01 | Duplicate charge refund | billing.refund | Low | 3 docs · policy v7 | Verified |
| AXN-9A13 | Ops-04 | CRM enrichment | crm.update | Low | 2 records · source match | Verified |
| AXN-9A14 | Revenue-02 | Invoice exception | billing.note | Medium | invoice · plan state | Escalated |
| AXN-9A15 | Support-07 | Reply to outage ticket | helpdesk.reply | Low | status page · incident id | Verified |
| AXN-9A16 | Security-03 | Access change request | iam.request | High | manager approval missing | Human gate |
| AXN-9A17 | Triage-01 | Billing FAQ | helpdesk.reply | Low | docs · account state | Verified |
| AXN-9A18 | Ops-04 | Failed webhook retry | workflow.retry | Medium | idempotency key | Verified |
| AXN-9A19 | Revenue-02 | Discount correction | billing.adjust | High | threshold exceeded | Human gate |
| AXN-9A20 | Support-07 | Refund policy reply | helpdesk.reply | Low | policy v7 · order state | Verified |
| AXN-9A21 | Security-03 | Suspicious login review | security.flag | Medium | geo mismatch · device | Verified |
No agent touches a dangerous operation without scoped permissions and a confidence gate.
Prompt changes go through evals, regression checks, and controlled rollout before production.
Every operation leaves behind a readable record of what happened and why.
Resolve repetitive tickets with full policy evidence and safe escalation.
Handle invoices, plan changes, discounts, and renewal risks with approval gates.
Classify access requests, flag suspicious sessions, and prepare review packs.
Route forms, update systems, retry workflows, and document outcomes.
A tilted slideshow gives the page movement without making the product feel like a toy.
Support team connects helpdesk, docs, billing, and CRM. KONTROL resolves low-risk work and escalates edge cases with evidence attached.
Revenue ops handles invoice corrections, credits, failed payments, and renewal reminders with proof trails.
Security agents can gather evidence, open review items, and prepare access packets — but cannot approve privileged changes alone.
“It finally made agents feel controllable.”
“We were not afraid of AI being smart. We were afraid of it being unaccountable. KONTROL gave us a ledger, gates, and replay.”
“The difference is simple: it does the boring work, but it knows when to stop. That’s what made it usable.”
Spin up your first governed agent, connect a tool, set the rule, run the eval, and watch it close the loop with proof.
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