Platform
The executive layer your stack is missing.
AethelLayer unifies hiring, finance, compliance, and team signals into measurable meters, and agents that act on them.
The problem
Scaling teams drown in operational noise
You did not hire brilliant people to copy-paste between dashboards. Yet as you grow, execution fragments, every function owns a silo, and leadership becomes the human API between tools.
Tool sprawl kills velocity
Hiring lives in Greenhouse. Finance in Xero. Decisions in Slack threads. No single source of truth, so leaders re-sync manually every week.
Context dies between meetings
Standups generate notes nobody reads. Action items slip. By Friday, the CEO is reconstructing the week from fragmented dashboards and memory.
Risk surfaces too late
Compliance gaps, budget overruns, and stale access permissions surface in board prep, not when they're cheap to fix.
What we are
Context-aware agents that run your operations
AethelLayer is your company's operational brain: AI agents that understand your business context and act across finance, hiring, risk, vendor management, and executive briefings. Not another chatbot. A persistent layer that reads your stack, reasons across domains, and executes with cited sources.
Human-in-the-loop by design. Agents draft, route, and recommend, but every action waits in your approvals queue before it executes. Autonomy with guardrails, not autonomy without them.
One operational brain
Context-aware agents share a live picture of finance, hiring, risk, vendors, and leadership priorities, so every workflow runs from the same truth, not siloed dashboards.
Five domains. One engine.
Finance, hiring, risk, vendor management, and executive briefings. Specialized agents that act across your stack, not chatbots that forget yesterday's context.
Approval-gated execution
Every action hits your human-in-the-loop queue before it runs. Agents move fast; humans stay in control. Approve in Slack or the dashboard. Nothing slips through.
Avg. context sync
< 2s
across 12+ integrations
Agent response
94%
tasks completed without rework
Risk signals caught
3.2×
vs. manual weekly reviews
CEO briefing prep
6h → 12m
median time saved per week
Live operational meters
Six signals. One executive picture.
Each meter updates from real integrations, not manual CSV uploads. Drill down from any score to the agents and evidence behind it.
Execution Velocity
87/100
Composite score across hiring throughput, finance cadence, and decision closure rate.
Context Freshness
96%
Share of connected systems synced within the last 15 minutes.
Risk Containment
78/100
Open anomalies weighted by severity vs. resolved within SLA.
Autonomous Completion
64%
Cross-system workflows finished without human intervention after approval rules.
Leadership Alignment
91/100
OKR coverage and action-item closure from meeting intelligence.
Peer Benchmark
Top 12%
Anonymous cohort rank for operational velocity at your scale band.
Execution loop
How meters become autonomous action
Sense
Continuous ingestion from HRIS, finance, comms, and docs into one vectorized executive context, always current, never stale silos.
Reason
Agents cross-reference policies, budgets, and history before proposing action, so “hire under £50k” triggers comp, pipeline, and runway checks together.
Act
Approved workflows draft emails, update ATS stages, file finance tickets, and schedule reviews, with full audit logs for compliance.
Learn
Every decision feeds the next briefing. Meters rise as patterns surface: which vendors slip, which squads block offers, where risk clusters.
Feature modules
Built for operators, not analysts
Voice-to-Operations
Speak intent. AethelLayer translates natural language into cross-system workflows, instantly.
Live prompt
“Hire a designer under £50k”
AI Risk Radar
Continuous anomaly detection across finance, compliance, and access, with severity triage.
- Stale admin access
- Vendor DPA expiry
- SOC-2 controls
Automated Meeting Listener
Every standup and leadership sync becomes structured action items, no manual notes.
- Approve revised Q2 hiring plan
- Schedule EU entity legal review
- Ship onboarding v2 by June 15
Cohort intelligence
Anonymous Benchmarking Index
Compare your operational velocity against anonymized cohorts at similar scale, privately.
Top 12%
execution velocity vs. peer cohort
Under the hood
Enterprise primitives that compound over time
Early Access teams get the full stack below, not a stripped demo. Each primitive strengthens the meters above as your context engine learns your operating rhythm.
Operations Score™
A single north-star metric blending hiring velocity, burn discipline, risk posture, and briefing completeness, updated in real time, not at quarter-end.
Policy-aware automation
Comp bands, approval matrices, and spend caps are enforced before agents execute, reducing “oops” automations that plague generic AI tools.
Cross-tenant isolation
Dedicated RAG, encryption boundaries, and query routing per early access customer, your embeddings never train or leak into another tenant’s context.
Human-in-the-loop gates
High-impact actions require explicit approval in Slack or email. Autonomous does not mean unsupervised.
Integration health monitor
Live status for each connector, token expiry, scope drift, sync lag, surfaced before your Monday brief, not after a failed hire.
Executive narrative export
One-click board-ready summaries with cited sources from your systems, not hallucinated bullets you cannot defend.