Riseworth Fund dashboard environment representing AI-driven liquidity analysis
AI-driven treasury analysis

Liquidity optimisation for UK businesses, configured in under 60 seconds

Riseworth Fund connects to your business accounts and runs a predictive engine over your cash position in real time. Idle balances are identified, risk-scored, and allocated according to parameters you set, reducing the manual oversight typically required for short-term capital decisions.

Launch Analysis View technical detail
Sample allocation output
Idle cash detected £48,200
Allocation efficiency 91%
Predictive variance band ±1.4%

Illustrative example for presentation purposes. Figures do not represent guaranteed or historical performance.

The problem

Idle balances and manual review carry a measurable opportunity cost

Most business current accounts hold cash that sits unallocated between operating cycles. Reviewing balances manually, cross-referencing cash flow forecasts, and deciding where surplus funds should sit takes time that finance teams, or owner-operators without one, rarely have spare.

Riseworth Fund was built to address this gap directly: continuous monitoring of account balances, automated classification of what counts as genuinely idle, and allocation logic that runs without daily intervention.

Core technology

A predictive engine built for continuous data processing

Riseworth Fund's underlying models are trained to interpret transaction patterns, forecast short-term cash requirements, and recommend allocation adjustments as conditions change, rather than on a fixed review cycle.

01

Real-time data ingestion

Account data is pulled via secure open banking connections and reconciled continuously, rather than through periodic batch imports.

Refresh interval: near real-time
02

Predictive variance modelling

The engine estimates a confidence band around projected cash needs, flagging allocation decisions that carry higher forecast uncertainty.

Output: variance band + confidence score
03

Automated rebalancing logic

When liquidity requirements shift, allocations are adjusted according to pre-set thresholds, reducing the need for manual sign-off on routine moves.

Trigger basis: threshold + forecast delta
04

Human error reduction

By standardising the allocation logic, the system reduces inconsistency that typically arises from ad hoc, manually judged treasury decisions.

Applies to: capital allocation rules
05

Transparent audit trail

Every allocation decision is logged with its underlying model inputs, making it straightforward to review the basis for any specific action.

Retention: full decision history
06

Configurable parameters

Minimum operating balances, risk tolerance, and instrument preferences are set once and referenced by the engine on every allocation cycle.

Setup time: under 60 seconds
Setup and workflow

From account connection to active allocation in four steps

The setup process is designed to be completed without specialist input. Once connected, the system operates continuously in the background.

01

Connect accounts

Link business bank accounts securely via open banking. No manual file uploads or spreadsheet imports are required.

02

Set parameters

Define minimum operating balance, risk tolerance, and any exclusions. This is the step most owners complete in under a minute.

03

Engine runs analysis

The predictive engine classifies idle balances and calculates a recommended allocation based on current cash flow forecasts.

04

Continuous monitoring

Allocations adjust automatically as account activity changes, with a full log available for review at any time.

Risk framework

Capital preservation is treated as a constraint, not an afterthought

Allocation logic operates within fixed boundaries designed to limit exposure, rather than optimising purely for projected return.

How risk is constrained

Before any allocation is made, the engine checks projected short-term cash needs against a rolling forecast. Funds flagged as potentially required within the defined operating window are excluded from allocation, regardless of projected yield elsewhere.

Instrument selection is restricted to short-duration, lower-volatility options by default. Users can adjust this tolerance, but the system will not exceed the configured risk ceiling without explicit confirmation of a parameter change.

  • Liquidity ring-fencingOperating balances below the user-defined threshold are never included in allocation calculations.
  • Forecast confidence checksAllocations with a wide predictive variance band are flagged for review rather than executed automatically.
  • Data handlingAccount data is used solely to run the allocation models and is not shared with third parties for marketing purposes.
  • Regulatory positioningRiseworth Fund provides data analysis and allocation tooling; it does not constitute regulated financial advice, and users remain responsible for their own treasury decisions.
Use cases

Allocation logic adapts to how cash moves through different business models

The underlying engine is the same across profiles; the parameters and forecasting horizon differ according to the pattern of incoming and outgoing cash.

Tech start-up: irregular funding, longer idle windows

Early-stage companies often hold larger cash reserves following a funding round, with spending that ramps up unevenly against a hiring or product plan. The engine models this using a longer forecasting horizon and flags balances that remain stable for extended periods as suitable for allocation.

Typical parameter setting: higher idle-cash threshold, moderate risk tolerance, 90-day forecast horizon.

Consultancy: predictable invoicing, short review cycles

Service businesses with monthly or quarterly invoicing tend to have more predictable cash inflows. The engine uses a shorter forecasting window and tighter operating balance threshold, reflecting the smaller buffer typically held against client payment timing.

Typical parameter setting: lower idle-cash threshold, conservative risk tolerance, 30-day forecast horizon.

Retail business: seasonal variation, tighter liquidity needs

Retail cash flow often fluctuates with seasonal demand and stock purchasing cycles. The engine incorporates historical variance in transaction volume to avoid classifying seasonal build-up as permanently idle.

Typical parameter setting: variable idle-cash threshold, conservative risk tolerance, seasonally adjusted forecast.
Riseworth Fund team environment supporting the analytics platform

Built around data discipline, not forecasting guesswork

Riseworth Fund focuses on the operational side of treasury management: taking data that already exists in business accounts and applying consistent, documented logic to it. The aim is to reduce the time spent on manual review, not to replace financial judgement entirely.

Every recommendation produced by the engine references the specific inputs and thresholds that generated it, so the reasoning behind any allocation can be checked at any point.

Frequently asked

Technical questions on security, logic, and liquidity

The following covers the questions most commonly raised during technical review by finance teams and business owners.

How is account data secured?

Account connections are made through open banking protocols, which use bank-grade encryption and do not require sharing of online banking credentials with Riseworth Fund directly. Data at rest is encrypted, and access is restricted to the systems required to run the allocation engine.

What does the predictive engine actually calculate?

It calculates a short-term cash flow forecast from historical transaction patterns, then estimates how much of the current balance is unlikely to be needed within the configured operating window. This figure, along with a variance band, determines the recommended allocation.

Can allocations be reversed or adjusted manually?

Yes. Parameters can be changed at any time, and any pending or scheduled allocation can be paused or adjusted before it executes. Historical allocations remain visible in the audit log regardless of later changes.

Does the system guarantee a specific rate of return?

No. Riseworth Fund optimises allocation based on configured constraints and forecast data; it does not guarantee returns, and allocation outcomes will vary depending on market conditions and the parameters set by the user.

How long does setup take in practice?

Connecting accounts via open banking and setting initial parameters typically takes under 60 seconds for a single business account. Businesses with multiple accounts or more complex thresholds may take slightly longer to configure fully.

Is Riseworth Fund regulated financial advice?

No. Riseworth Fund provides data analysis and automated allocation tooling based on parameters set by the user. It is not a substitute for regulated financial advice, and businesses with complex treasury requirements should seek independent advice where appropriate.

Connect your accounts and review your first allocation output today

Launch Analysis See how allocation decisions are made