Sloane Labs
Financial services

Risk is measured to the basis point. The judgement pricing that risk is measured by whether someone looks tired.

Sloane Labs is the human performance layer for financial institutions. It reads cognitive readiness across deal teams, desks and risk functions, forecasts where judgement quality will fall short of the calendar, and acts before it shows up in a mispriced decision.

Read the research
100h
Weeks the deal calendar routinely produces
72h
Forward view on desk and team readiness
5
Minimum cohort size in any report
0
Message or document content ever ingested
The floor, through a live process
Open mandates
3
Out of hours
+218%
Judgement
Narrowing
The thesis

The expensive failure is not a mistake anyone reports. It is a decision made a grade below the team's ceiling.

Every market and credit exposure in the institution is quantified continuously. The cognitive state of the people setting those exposures is assessed by observation, in a business where a single narrowed judgement outweighs the entire cost of instrumenting the floor.

The deal calendar is not smooth. Diligence weeks, closings, quarter end and results cycles create predictable spikes that arrive on a known date. Load can therefore be forecast rather than discovered, and cover can be moved before the spike rather than after it.

Where it costs you

Four places capacity turns into outcome

Reaction and discipline

The desk

Execution quality and adherence to limits both degrade with sleep debt long before anyone reports feeling tired.

Judgement narrowing

The deal team

Fatigue makes diligence narrower rather than slower.

Challenge quality

The risk function

Second line challenge is cognitively expensive and socially costly.

Trained capability

The junior pipeline

Two years of training walks out at the point where the investment starts returning.

Seen in practice

A deal cycle, read the way you read an exposure

Team readiness across a live process, with the forward projection that lets you rotate cover, move a milestone or protect a weekend before the trough arrives rather than after the close.

Select an operating state to redraw the forecast.

Team readiness index
W-2W-1KickoffDiligenceDocsSigningPost

Steady mandate load, no live process. Recovery clears week to week and readiness holds inside the tolerance band.

84
Team readiness
Low
Out of hours load
Low
Forecast risk
Sloane acts

No intervention. The Monday brief confirms capacity is available for an additional mandate.

Signal model

What we read, and what each signal decides

A signal earns its place only if it changes an operational decision. Anything that does not is telemetry for its own sake.

Heart rate variability trend
Wearable, overnight · Daily
Whether a team is clearing load or accumulating it across a live process.
Sleep duration, timing and regularity
Wearable, overnight · Daily
Decision quality risk on the desk and recovery adequacy during a deal.
Out of hours communication load
Slack or Teams metadata · Continuous
Whether recovery windows are real or eroded by asynchronous work.
Calendar density and fragmentation
Calendar metadata only · Continuous
Where cognitive load is created structurally, and which weeks to de load.
Deal and milestone calendar
Pipeline metadata · Per process
Expected load spikes and where cover should be added ahead of them.
Weekend and holiday encroachment
Calendar metadata · Weekly
Which teams are structurally unable to recover and need redistribution.
The product

What is actually running, not what is on a roadmap

Morning readiness brief

A single page before the morning meeting. Cohort readiness, what changed overnight, the two teams to watch, and one recommended action.

Delivered to Slack, Teams or email

Cohort readiness by team

Coverage, execution, markets and risk reported as separate cohorts with trend lines across the year. No cohort renders below five people.

Live dashboard, full year history

Forward risk alerts

When a team is forecast to cross a readiness threshold inside 72 hours, the alert fires with contributing factors and stated confidence.

Threshold alerts with stated confidence

Staffing simulation

Model a process before you commit the team. Add cover, move a milestone or change the split and see the projected readiness effect through to close.

What if runs against the live pipeline

Individual agent, opt in only

Bankers who opt in get their own coach: recovery targets through a process, travel and sleep guidance, answers grounded strictly in their own data. Nothing is visible to management.

Conversational agent, private by design

Conduct evidence record

An aggregated, anonymised record of how working hours and load were managed. Defensible with the board, the regulator and staff representatives.

Exportable, aggregate only
Data and governance

Reading human capacity only works if the boundary is unambiguous

Trust is the adoption constraint. These are commitments, written into the agreement, not preferences.

Never a performance management tool

Explicitly excluded from ranking, bonus, promotion and disciplinary process. That exclusion is contractual and enforced in the data model.

Opt in, always

No one is enrolled by default. Participation is individual, explicit and revocable at any time, with data deleted on withdrawal.

Five person minimum cohort

Aggregate views suppress any group smaller than five. Leadership sees cohorts, never a named individual's physiology.

Metadata, never content

Calendar and messaging integrations read timing, density and participant counts. Titles, bodies and message content are masked at ingestion and never stored.

Separated from selection

Contractually and architecturally excluded from selection, appraisal and disciplinary processes. That separation is written into the agreement.

UK GDPR and DPIA ready

Lawful basis, retention schedule, data subject rights and a pre drafted DPIA template supplied for your DPO before the first device is connected.

Every exposure is priced to the basis point. The judgement setting it is priced by instinct.

Design partnership

An eight week pilot with a defined exit

We take a small number of design partners per sector. A partner shapes the roadmap directly, gets preferential terms, and keeps the right to walk away at week eight with no obligation.

Weeks 1 to 2

Scope and governance

Agree cohorts, success measures and the data boundary. DPIA reviewed and signed. Integrations connected in a sandbox with a small internal group.

Weeks 3 to 4

Baseline

Volunteers connect wearables and calendars. Individual baselines establish across a normal cycle and a peak one. No alerting yet, observation only.

Weeks 5 to 6

Live briefing

Morning readiness briefs start reaching leadership. Forecast alerts switch on. Calibration against what the organisation already believes about its own load.

Weeks 7 to 8

Readout and decision

Joint review of accuracy, adoption and the decisions the signal changed. Written readout, roadmap input, and a clear go or no go.

What we need from you

  • One executive sponsor with authority over how work is scheduled
  • Twenty to fifty volunteers across two or three cohorts
  • Calendar and messaging integration approved by IT and the DPO
  • Two review sessions across the eight weeks

What you get

  • Full platform access for the pilot cohorts, configured to your operating calendar
  • Direct roadmap influence on capability specific to your sector
  • A written readout of accuracy, adoption and decisions changed
  • Preferential terms and first refusal on the sector in your market
For the technical and commercial buyer

The questions we get asked first

Is this a wellbeing programme?

No. It is a decision quality system. Wellbeing programmes ask people how they feel and offer resources. Sloane measures capacity against the deal calendar and changes decisions: staffing, milestone timing, coverage and redistribution.

Does it read our deal or client data?

Never. Calendar and messaging integrations read timing, density and participant counts only. Titles, bodies, attachments and client identifiers are masked at ingestion and never stored.

Could this be used in performance reviews?

Architecturally, no. Individual physiology is never exposed to management; leadership sees cohorts of five or more. Use in ranking, compensation or disciplinary process is contractually prohibited.

How does it help with working hours commitments?

It produces the aggregated evidence record most institutions currently lack: how load was distributed, where it spiked, what was done about it, and whether the intervention worked.

What does integration require from technology?

OAuth connections for calendar and messaging, and individual device authorisation for wearables. No endpoint agents, no network changes, no access to trading, banking or client systems.

How do we know the signal is real?

Every score is deterministic and reproducible from versioned features, every forecast carries stated confidence, and the pilot readout compares prediction against what the desk observed.

Price the human variable the way you price everything else

A thirty minute conversation covering the architecture, the data boundary and what an eight week pilot would look like inside your institution.

Explore the platform
Opt in and anonymised Metadata only, never content