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 building

The AI Chief of Staff for modern operators

AethelLayer is the operating system that sits above your stack, a persistent executive layer that understands your business context, runs specialized agents, and delivers the clarity you need to move fast without losing control.

    One executive context engine

    AethelLayer unifies hiring, finance, compliance, and team signals into a single autonomous layer, so every agent operates from the same live picture of your business.

    Agents that execute, not just chat

    Voice a goal like “hire a designer under £50k” and AethelLayer routes work across systems: screening, budget checks, outreach drafts, and calendar holds.

    Weekly clarity for leadership

    Automated CEO briefings synthesize OKRs, meetings, risks, and pipeline health, so you decide from signal, not scavenger hunts.

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

01

Sense

Continuous ingestion from HRIS, finance, comms, and docs into one vectorized executive context, always current, never stale silos.

02

Reason

Agents cross-reference policies, budgets, and history before proposing action, so “hire under £50k” triggers comp, pipeline, and runway checks together.

03

Act

Approved workflows draft emails, update ATS stages, file finance tickets, and schedule reviews, with full audit logs for compliance.

04

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”

Routing to Hiring Agent + Finance Brain

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

Private Pilot 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 pilot 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.