Sphere Partners

CASH FLOW INTELLIGENCE

Predictive liquidity beyond Excel and intuition.

Sphere’s Cash Flow Intelligence analyzes your historical and real-time AR/AP data to forecast liquidity positions, flag risks weeks ahead of impact, and recommend specific actions to protect working capital. Connects to your ERP and banking platforms. Lives alongside your existing treasury workflow.

Dailyforecast refresh
13-weekcash visibility
Weeks-aheadliquidity warnings
<12-monthROI for mid-market treasury teams

Trusted by Leading Enterprises

Ideel
91 Seconds
Ideel
NextCapital
CreditNinja
Gett
Enova
Groupon
Integra Credit
Client
Ideel
91 Seconds
Ideel
NextCapital
CreditNinja
Gett
Enova
Groupon
Integra Credit
Client

Cash visibility is still the CFO’s biggest blind spot

Most finance teams know their cash position today. Few can confidently project it 13 weeks out, and almost none can do so without rebuilding a model in Excel. The gap is the difference between predictable working capital and reactive crisis management.

1. The forecast is only as fresh as the last manual update

Excel-based cash forecasts are usually rebuilt monthly at best. By the time the next refresh lands, AR aging, vendor terms, and bank balances have already moved — and the forecast is wrong.

2. Liquidity risks become visible too late

By the time a payroll run, debt covenant, or supplier payment forces the issue, the options for action have collapsed. Treasurers need warning weeks ahead, not days.

3. Working capital optimization is more art than science

Tightening DSO, extending DPO, and managing inventory cycles all affect cash — but most teams lack the modeling capacity to test scenarios and prioritize the actions that matter most.

Outcomes

Treasurers running on continuously updated cash intelligence make different decisions than those running on monthly Excel refreshes. Sphere’s Cash Flow Intelligence is built to give finance leaders the warning, the model, and the recommended actions — before the cash crisis becomes a cash crisis.

Rolling 13-week forecast updated daily, not monthly

Liquidity shortfalls flagged weeks before they would force a credit line draw

Quantified cash impact for every working capital scenario the CFO wants to test

Hours per week recovered from manual forecast rebuilding

Reduced overtime and manual reporting labor

Audit trail on every forecast version, assumption change, and recommendation acted on

Use Cases

Mid-market multi-entity CFOs

Mid-market multi-entity CFOs

Consolidated rolling forecast across subsidiaries, currencies, and ERPs. Eliminates the day-per-week reconciliation burden facing nearly 40% of multi-entity finance teams.

High-growth SaaS treasurers

High-growth SaaS treasurers

Cash burn modeling tied to MRR/ARR pipeline, including scenario analysis for hiring and CAC investment decisions. Investor-board-ready forecasts updated continuously.

Manufacturing and distribution

Manufacturing and distribution

Working capital modeling that incorporates inventory cycles, supplier payment terms, and customer DSO patterns. Surfaces optimization opportunities specific to physical-goods cash cycles.

Private equity portfolio companies

Private equity portfolio companies

Standardized cash visibility across portfolio companies, with rollup reporting for the PE finance team and scenario modeling for value creation initiatives.

Subscription-based businesses

Subscription-based businesses

Recurring revenue cash flow modeling with churn-adjusted projections and expansion revenue scenarios. Bridges the gap between bookings forecasts and actual cash collection timing.

How it works: Sphere's 5-step deployment process

  1. Discovery and treasury workflow audit

    Sphere's solution architects spend 2 weeks mapping your ERP, banking, and AR/AP systems, your current forecasting process, and the decisions you make on cash data. Deliverable: a Cash Flow Intelligence Integration Blueprint.

  2. Data Ingestion & Model Training

    Connect ERP, AR/AP, and banking platforms. Ingest 24 months of historical transactions. Train predictive models on your seasonality, customer payment patterns, and supplier terms. Validation against the most recent 3 months.

  3. Forecast configuration and treasurer UX

    Configure forecast horizons, confidence thresholds, alert routing, and scenario templates to your treasury policy. Three rounds of finance team review before go-live.

  4. Pilot Deployment (Human-in-the-Loop)

    30-day supervised pilot running parallel to your current Excel forecast. Daily forecast accuracy comparison. Models refined based on actuals before retiring the parallel process.

  5. Full Rollout & Continuous Learning

    Production deployment with daily forecast refresh, weekly treasurer review, and monthly model retraining. Quarterly business review on forecast accuracy and working capital impact.

See your deployment plan Book a 30-minute scoping call to see how Cash Flow Intelligence fits your treasury workflow.

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ROI & business impact

Days→Min

Forecast cycle time reduced from days to minutes per refresh

Weeks

Liquidity shortfalls flagged weeks ahead of impact, preserving optionality on credit and supplier terms

Quantified

Working capital optimization opportunities quantified and prioritized in dollars, not directionally

<12 mo

ROI payback period: typically under 12 months for treasury teams managing $50M+ in monthly cash flow

Hear from

our clients
Lee Ebreo

Lee Ebreo

VP of Engineering at Credit Ninja

These things would not have been achievable if we did not build our own in-house system and if we did not partner with Sphere to help us achieve our goals.

Selah Ben-Haim

Selah Ben-Haim

VP of Engineering at Prominence Advisors

Our experience with Sphere and their team has been and continues to be fantastic. We keep throwing new projects at them, and they keep knocking them out of the park (including the rescue of a project that was previously bungled by another vendor).

Ben Crawford

Ben Crawford

Senior Product Manager at Enova Financial

I would expect to be delighted. It's been a really positive experience, working with Sphere, and I would expect you to have the same.

Mark Friedgan

Mark Friedgan

CEO at CreditNinja

Sphere consistently prioritizes the needs of their clients, demonstrating both agility and teamwork. As an offshore team, they have been an integral part of our organization and we plan to continue growing with them.

René Pfitzner

René Pfitzner

Co-Founder at Experify

Sphere provided excellent full-stack development manpower to augment our team and help push our product forward. They are easy to work with, tech-savvy and proactive.

Bruce Burdick

Bruce Burdick

Chief Information Officer at Integra Credit

We've been working with Sphere and its excellent consultants since our founding. I've found that they are true partners in the success of our business.

Jemal Swoboda

Jemal Swoboda

CEO at Dabble

The resources and developers that Sphere Software provides are skilled and have the required technical expertise, but more importantly, they have helped us build a culture of excellence within our team.

Arthur Tretyak

Arthur Tretyak

Founder and CEO at IntegraCredit

With Sphere, we were able to migrate in half the time it would take to train an additional FTE… and for a fraction of the cost. Our experience with Sphere has been exceptional.

Lee Ebreo

Lee Ebreo

VP of Engineering at Credit Ninja

These things would not have been achievable if we did not build our own in-house system and if we did not partner with Sphere to help us achieve our goals.

Selah Ben-Haim

Selah Ben-Haim

VP of Engineering at Prominence Advisors

Our experience with Sphere and their team has been and continues to be fantastic. We keep throwing new projects at them, and they keep knocking them out of the park (including the rescue of a project that was previously bungled by another vendor).

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Sphere in Numbers

We understand that actions speak louder than words and numbers but here are some key facts about us.

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Years of Excellence

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Projects Delivered

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Countries

Globally diverse, community-focused

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Clients

top 20 average 8+ years

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Luke Suneja

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Luke Suneja

Client Partner

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Latest Insights

Frequently asked question

No. Sphere connects to your existing ERP, banking, and treasury systems via certified APIs. Cash Flow Intelligence is the predictive layer — your transactional systems stay where they are.
Forecast accuracy is validated against your own historical actuals during the model training phase, with target accuracy bands published per client. Most deployments achieve materially better accuracy than the manual Excel forecast they replace, particularly at the 4–13 week horizon.
Direct bank feeds via Plaid, Codat, or native bank APIs cover most U.S. and European institutions. ERP connectors include NetSuite, SAP, Oracle, Workday, and QuickBooks. Custom adapters are built during discovery for less common systems.
All deployments run in your AWS environment by default, with SOC 2 Type II controls, encryption at rest and in transit, and full role-based access control. Sphere never aggregates client data.
A TMS executes transactions and stores treasury data. Cash Flow Intelligence predicts what’s coming. The two are complementary — Sphere’s platform integrates with leading TMS solutions where they’re already in place.
From contract signature to live forecasts: 8–12 weeks. The 30-day supervised pilot runs in parallel to your current process, so finance keeps a working forecast throughout the transition.
Yes. Scenario modeling is a core capability. Treasurers and CFOs can model DSO/DPO shifts, hiring decisions, capex timing, and other variables, with the cash impact projected across the full forecast horizon.

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