The cash problem is not always revenue. Sometimes it is timing. On Monday, Treasury sees customers paying later than planned while supplier payments come due first. Meanwhile, collections are still chased by habit, noise, or last week’s escalation. In Fin Q, the Cash Flow Management Agent reads receivables, payables, cash and financing context. It ranks which collection calls and payment-timing moves would free up the most cash, then models the next few weeks. Nothing material changes on its own. Treasury gets the evidence, the expected cash impact, and the approval decision. People still decide before a collection move or payment-timing change is finalized. Pick the cash workflow that creates the most rework and run it in shadow mode first.

Most finance teams have tried AI. Far fewer have it running in production. It's rarely the model. Pilots stall because they start with a tool instead of a problem, the team doesn't trust the data, or no one owns the approval. Tomorrow at 1 PM ET, Mike McCarty, former CFO of Bloomberg Industry Group, joins Rahul Shah, Puneet Gaur, and Ben Aspero to cover how to pick the first problem, test it against your own numbers, and get it live in 30 to 45 days. 45 minutes, with 10 minutes of live Q&A. Can't make it? Register and we'll send the recording. nextq.ai/applied-ai-for-fina…

Meet our guest for October 27: Mike McCarty. Mike led finance at @BBGIndustry from 2016 to 2026. That covered FP&A, accounting, payroll, pricing, customer operations and controls. Before that, he was a divisional CFO at CSC, Nokia and IBM. Most finance teams are testing AI. Far fewer have it in production. Mike will talk about what a CFO needs to see before trusting AI with forecasting, the close and controls, and he’ll take your questions live. Next Quarter webinar, joined by our CEO Rahul Shah, Puneet Gaur and Ben Aspero. Tuesday, Oct 27 · 1 PM ET · 45 min Register here: nextq.ai/applied-ai-for-fina… Can’t make it live? Register anyway and we’ll send you the recording.

Quarter-end can be lost before the decision starts. FP&A pulls ERP exports, accounting checks payroll files, Treasury adds bank data, sales sends a CRM snapshot. By the review, the team is explaining tie-outs instead of what changed. Fin Q changes the workweek by keeping one live model in FinClarity. Fin Assist lets finance ask, “why did margin move?” and get an answer with the source numbers behind it—not another workbook to rebuild. Start with one recurring problem: close, cash, payroll, funding, or another workflow. The agent runs in shadow mode beside the team, so its output is checked against the work people already trust. When it proves itself, it goes live in 30 to 45 days. Book a Meeting: nextq.ai/

68% of CFOs aren’t sure which finance process to start with AI (CFO Connect, 2026). On Oct 27, Next Quarter CEO Rahul Shah and former @BBGIndustry CFO Mike McCarty talk through how to pick one. Live webinar, 1 PM ET. Register Now: shorturl.at/y9GXa

Your best onsite meeting can start with stale CRM notes, a generic talk track, and no discovery path for the buyer in front of you. Event Monetizer’s Meeting Prep Agent compiles account snapshots, CXO profiles, stakeholder priorities, strategic entry points, expected objections, discovery-first agendas, and next-step options. Documented Event Monetizer customer-observed result: 35% increase in meeting conversions. Book a Demo: nextq.ai/ Make every event a measurable, compounding pipeline engine, not a line item.

The booth looked busy on Thursday. By Tuesday, leadership still couldn’t tie spend to pipeline, payback, or cost per qualified meeting. Event Monetizer’s Post-Event Playbook turns onsite conversation notes into segmented follow-up sequences with discovery questions, objection handling, and SLAs, so reps act while context is still fresh. Documented Event Monetizer customer-observed result: <24 hours first follow-up post-event. Book a Demo: nextq.ai/ Make every event a measurable, compounding pipeline engine, not a line item.

Badge scans that never convert: teams wait for booth traffic, then chase names days later while high-value accounts have already moved on. Event Monetizer’s Pre-Event Playbook gives sales personalized email sequences, tailored call scripts, and elevator pitches built around buyer intent, attendee match, and account fit. Documented Event Monetizer customer-observed result: 3X increase in pre-booked meetings per event. Book a Demo: nextq.ai/ Make every event a measurable, compounding pipeline engine, not a line item.

Six figures can disappear into a booth before anyone proves the show has enough ICP density, account fit, or topic momentum to earn the PO. Event Monetizer’s Gen AI event revenue intelligence uses Events Radar + Event Strategy & Research to build an Event Strategy Brief before spend is finalized: buyer intent, attendee match, target accounts, goals, success metrics, and expected revenue impact. Book a Demo: nextq.ai/ Make every event decision the start of a measurable, compounding pipeline engine, not a line item.

The most expensive forecast problem is not the miss. It is the miss with no early warning; when pipeline coverage, upside, downside, and recovery paths are modeled after the quarter has already slipped. Financial Agents runs on-demand scenario models in minutes using live pipeline, variance flags, and finance data. Revenue leaders can compare paths before risk becomes the board narrative. Book a Demo: nextq.ai/ Forecasting becomes a continuous operating rhythm for revenue confidence, not a quarter-end scramble.

The most expensive forecast problem is not the miss. It is the miss with no early warning—when pipeline coverage, upside, downside, and recovery paths are modeled after the quarter has already slipped. Financial Agents runs on-demand scenario models in minutes using live pipeline, variance flags, and finance data. Revenue leaders can compare paths before risk becomes the board narrative. Book a Demo: nextq.ai/ Forecasting becomes a continuous operating rhythm for revenue confidence, not a quarter-end scramble.

A board deck is stale the moment it is printed if the forecast is still rebuilt in batches. FP&A is then forced to explain yesterday’s view of the business while pipeline, variance, and risk keep moving. Financial Agents produces board-ready output: headline metrics, narrative explanations, risk flags, and forecast visuals. Documented customer-observed result: board prep cycle reduced from 2 weeks to 2 days. Book a Demo: nextq.ai/ Board reporting becomes a continuous, board-ready view, not a quarterly scramble to package stale numbers.

What happens when Sales and Finance walk into forecast review with two different numbers? RevOps gets dragged into reconciliation instead of helping the business act on pipeline risk. Financial Agents, powered by NQ Fin Assist, connects live pipeline, finance logic, assumptions, exposed sources, and source queries into one governed source of truth. Variance flags show where the numbers diverge before the argument starts. Book a Demo: nextq.ai/ Forecast reviews can compound confidence when every answer is auditable and every team forecasts from the same truth.

Friday, 5:47pm: the CFO is rebuilding the forecast by hand while pipeline changes keep landing. By Monday, leaders are defending numbers assembled from static spreadsheets - not a current view of revenue. Financial Agents creates autonomous forecast roll-ups from live pipeline + finance data, giving Finance one always-current source of truth. A Financial Agents customer-observed result: more than 97% forecast accuracy! Book a Demo: nextq.ai/ Forecasting becomes a continuous source of confidence, not a Friday spreadsheet fire drill.

A new enterprise seller can lose half a day turning raw account notes into an executive-ready narrative. Counterintuitive: the pitch deck is not the bottleneck. The missing account logic is. Q-Pilot’s Pitch Deck Agent creates initiative-specific narratives, use cases, proof points, and ROI framing. Documented workflows show 24× faster pitch decks: 4 hours to 10 minutes. Learn More: nextq.ai/products/q-pilot/ When account research compounds, new sellers reach executive confidence faster. #SalesEnablement

Another enterprise seller sends “checking in” because the account research never translated into a point of view. Contrarian take: more touches won’t fix generic outreach. Better signals will. Q-Pilot Sales Playbooks and ABM Suite turn buyer intent, hiring intelligence, tech stack changes, and account initiatives into discovery questions, objection handling, email campaigns, content, and orchestration assets. Learn More: nextq.ai/products/q-pilot/ When messaging is grounded in live account context, research becomes a compounding advantage across every ABM touch. #ABM

How many stakeholders are invisible inside your “mapped” enterprise account? RevOps teams see the pain when sprawling buying groups and incomplete contact maps leave sellers guessing who really influences the deal. Q-Pilot uses CXO and decision-maker profiles to narrow 100,000-contact accounts into the right buying committee. Idera and Siemens called stakeholder discovery a major pain point solved. Learn More: nextq.ai/products/q-pilot/ Research compounds into cleaner coverage. #RevOps #B2BSales

Forecast call starts, and the account view is already stale. The CRM says “next step pending.” The rep says “good momentum.” Neither shows buyer intent, industry trends, historical signals, or competitor pressure now shaping the account. Documented Q-Pilot customer-observed results include a 53% increase in new business, tied to Gen AI revenue intelligence that surfaces predictive opportunities inside known accounts. Learn More: nextq.ai/products/q-pilot/ Current account context becomes a compounding forecast advantage. #RevOps

11:42 p.m. and the strategic-account meeting is at 8. The seller is still stitching together buyer intent, CXO profiles, tech stack notes, industry trends, and market shifts. Q-Pilot turns that prep into one-click customer research reports. Documented Q-Pilot workflows show 90% less research, moving prep from hours to minutes. Learn More: nextq.ai/products/q-pilot/ When account research compounds, every meeting starts with sharper strategic context. #RevenueIntelligence

Four hours assembling a pitch deck can still leave sellers with an account story that feels generic by the time of the executive meeting. Q-Pilot’s Pitch Deck Agent builds initiative-specific narratives in 10 minutes using real-time intelligence, relevant use cases, proof points, and ROI framing. Documented Q-Pilot workflow proof: 24× faster pitch decks, reducing deck creation from 4 hours to 10 minutes. Learn More: nextq.ai/products/q-pilot/ Account research becomes a compounding strategic advantage. #RevenueIntelligence