saascode
web3 & on-chain infrastructure·run 112 · May 2026

Aerynth

A professional-services operations workspace that links authorized agent actions to client matters, budgets and accepted deliverables, then produces a reviewable AI-work statement while keeping billing and accounting decisions human-owned.

Genesis score6.24/10
Make Aerynth real.0/500
500 more votes and Aerynth is authorized for build.
0%500 to authorize
Backing is the vote. When an idea crosses 500, we pull it into the build pipeline and ship it for real — the votes decide what gets built next, not an editor.
The opportunity
0 of 1Related interfaces verified
0Direct agent-work billing peers found
The case

Small professional-services firms are beginning to use agents across research, production and operations, but their project systems primarily capture human time and expenses. Aerynth creates an attribution layer for agent-initiated activity. The supplied research confirms strong funding and integrations around human time capture and finds no competitor billing agent work against client matters. It also says the one related interface remains unverified and shows no structural incumbent barrier. An agent log is not time, effort, quality, client benefit or a billable event. The client contract must define whether any AI-work unit is disclosed, included, separately priced or prohibited. Matter assignment, policy admission, tool invocation, provider acknowledgment, destination effect, human review, deliverable acceptance, billing approval, invoice, payment and revenue recognition remain separate. Logs are minimized, tenant-isolated and never used to score employees or reconstruct private work beyond client authorization. Shared actions and retries require allocation and deduplication. Margin is a scenario based on declared costs and approved revenue allocation, not accounting truth. Client-facing statements disclose limitations, sources, human responsibility and subcontractor or processor terms where applicable. Success is transparent project economics and fewer disputed AI-work charges—not guaranteed recoverable revenue or proof that an agent created value.

Who pays — and why

An owner, operations leader or finance lead at a small professional-services firm using agents across several client engagements.

Market signalValidate by firm, active client matter, governed agent identity, attributed event, accepted deliverable, statement and billing periodProfessional-services automation, time-capture and project-accounting tools are observed market references, not fixed product pricing
What it unlocks
A contract-aware attribution graph linking agent identity, authorized matter, purpose, activity evidence, cost units, human owner and deliverable.
A review workflow separating raw event, deduplicated action, allocation proposal, accepted deliverable, billing approval and client statement.
A financial lifecycle separating cost scenario, approved charge, invoice, client dispute, payment, settlement and accounting recognition.
How Genesis scored it
6.24across seven criteria
tension 6temporal 7blindspot 5buyer 8leverage 7convergence 5why-not 5
8
Buyer persona

Owners and finance leaders at small professional-services firms form a specific role and segment.

7
Temporal window

Recent growth in automated time capture validates a current operational window.

5
Why nobody did it

Current agent adoption creates a new activity class, while the historical barrier is only partly established.

Why it scored well

A clear small-firm buyer, fast-growing human time-capture category and unoccupied agent-attribution gap support discovery.

What's holding it back

The sole interface remains unverified, contract and billing models vary, evidence does not prove value and incumbents can extend.

Signals detected3 sources crossed
SignalCompetitor research

SignalCompetitor research

SignalCapability research

Direction briefaerynth-agent-work-attribution.md
aerynth-agent-work-attribution.md
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