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Reporting & Analysis
AI Financial Close Assistant
Month-end close run against your own checklist, with reconciliations tracked and exceptions surfaced early.
Month end tends to run on a checklist in a spreadsheet and a lot of follow-up messages. Reconciliations stall, nobody is sure which tasks are done, and problems show up on the last day. This assistant works through your own close checklist, tracks reconciliation status across accounts, and surfaces exceptions early, so your team fixes them before the deadline instead of at it.
- Your own close checklist tracked task by task
- Reconciliation status visible across every account
- Exceptions surfaced early, not on deadline day
$5,900
20–30 working days
Optional maintenance $295/mo
What it is
AI Financial Close Assistant coordinates your month-end or quarter-end close: it works through your checklist, tracks reconciliation status across accounts, and surfaces exceptions before the deadline instead of at it. It delivers updates to your finance team by email, Slack or a web dashboard.
Why businesses buy it
A slow close means leadership waits longer for numbers, and a rushed close means mistakes slip into the reports. Chasing task owners and reconciliation status by message is exhausting for the controller. After this build, everyone sees where the close stands, open items are chased automatically, and exceptions appear early enough to resolve calmly. Your close gets shorter and more predictable. The Scope Card lists the data sources, checklist items and alerts in writing before you pay, so the setup is agreed from the start.
Problems this solves
Month-end close drags because nobody knows what is still open
The assistant works through your close checklist and tracks reconciliation status across accounts. Updates by email, Slack or dashboard show what is finished and what is outstanding.
Exceptions are discovered on deadline day, not before
Unreconciled accounts and other exceptions are surfaced as soon as they appear. Up to five alerts can warn the owner early, so problems are fixed before the deadline.
The controller spends the close chasing people for status
Reconciliation status is read from your connected systems, not gathered by email. The controller sees the whole close in one place and follows up only where needed.
A good fit if
Your close process follows a written checklist today, but tracking who has finished what still happens over email or chat.
Reconciliation exceptions tend to surface late in the close cycle, close to the deadline, rather than early.
You already work in a system like QuickBooks, Xero, NetSuite or Google Sheets you can connect read-only for close data.
You want a status view the whole finance team can check, rather than a manual roll-up before the close meeting.
Not the right fit if
You want a lighter, recurring report pack rather than close-process coordination. See AI Financial Reporting.
Your bottleneck is extracting data from financial documents, not tracking the close checklist itself. See AI Financial Document Agent.
Budget-to-actual variance is the main need, not the close process. See AI Budget Analysis.
Your close spans more than three data sources or needs custom sign-off chains. Add a note at checkout, or use our Custom AI enquiry form for larger or bespoke projects.
How it works
- You hand over the checklist. Your existing close tasks, owners and deadlines become the structure it tracks against, connected to up to three read-only data sources.
- It tracks reconciliation status. Account balances are checked against source data as the close progresses, and status is visible without anyone chasing an update.
- Exceptions surface as they appear, not at the deadline. An account that will not tie out, or a task running behind, is flagged early in the up-to-five alerts rather than discovered on the last day.
- You get a live status view. The dashboard or recurring report shows what is done, what is outstanding, and what needs a decision, built from the up to 25 metrics you defined.
- The team works from one source of truth. Everyone checking status sees the same close position, reducing the roll-up calls before a close meeting.
- You review and tighten the process. Two rounds of changes before launch let you adjust which exceptions trigger an alert and how status is grouped.
What you provide within 72 hours
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
- Read-only access to each accounting data source involved in the close.
- Your existing close checklist, task owners and deadlines.
- At least three months of historical close data to set the baseline.
- The list of report recipients and the channel they should receive close status on.
- Admin access and API keys for every connected system, shared by adding our team as a user or creating a key you control, never by email.
- Your business information (company basics, hours and brand voice), shared during intake.
- One decision-maker who can approve the checklist structure and alert thresholds.
- An API key for your own AI model account (for example OpenAI or Google Gemini), created for this build with a spending limit.
The 72-hour rule. Send everything on your checklist, including access, within 72 hours of ordering so your build starts on time.
Timeline
Start
Intake verified and your close checklist confirmed.
Weeks 1–2
Data sources connected and reconciliation tracking built against your checklist.
Week 3
Status dashboard, alerts and the recurring report configured.
Weeks 3–4
Results checked against three months of your historical close data.
Week 4
Your review and two rounds of changes to checklist structure and alerts.
Go-live
Live, recorded handoff session held, and 30 days of support begins.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $5,900 |
| Express | 15–25 working days | $6,800 |
| Rush | 10–20 working days | $7,650 |
What you receive at handover
- AI Financial Close Assistant connected read-only to up to three data sources
- Your close checklist configured, with reconciliation status tracking
- A close dashboard or recurring update by email, Slack or web, plus up to five alerts
- Test report checked against three months of past closes
- Admin guide and a recorded handoff session
- 30 days of post-launch support
Expected benefits and how to measure them
- Can help the close finish closer to plan
- Helps the team fix exceptions before the deadline rather than at it
- Makes close status visible without status meetings
- Working days to close
- Compare the number of working days to close for the three months before launch with the three months after.
- Exceptions found on deadline day
- Count exceptions first raised in the final day of each close, before and after launch.
- Reconciliations late against the checklist
- From the close dashboard, count reconciliations finished after their checklist date each month.
Before you start: Record how many working days your last three closes took. Note which reconciliations usually run late.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
You pay for the build once. Running it afterwards costs roughly $20 to $150 a month for AI model usage and hosting or scheduler fees, billed directly in your own accounts. Build and test usage follows the same rule, so every provider relationship stays yours.
Ask about running costsCustom requirements
If your close needs a fourth data source or more than 25 tracked checklist items, add a note at checkout. You get a written Change Quote before any extra work starts. Larger or bespoke projects go through the Custom AI request form.
Request a custom versionKeep it running
Monthly maintenance covers monitoring, fixes and change hours each month, enough to adjust a checklist item or reconciliation rule as your close process evolves. It starts after the 30 days of included support.
$295/mo (5% of the build price a month, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance worksHow this compares
| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A close management platform charges a monthly seat fee across the finance team | A custom close workflow build is quoted after discovery calls | Ours is one fixed price, shown before you buy |
| Scope | A generic platform requires you to build the checklist logic yourself | An agency agrees scope as the project develops | Ours is built from your own checklist, on the Scope Card before purchase |
| Delivery | Self-serve close platforms still take weeks of internal configuration | An agency project usually runs several weeks, set per project | Ours has a fixed delivery time shown before you buy, with faster options |
| Exception timing | Many tools surface reconciliation gaps only when you run a report | An agency build depends on what was specified | Ours alerts as exceptions appear during the close, not after it |
Questions about this product
Does AI Financial Close Assistant replace our close checklist?
No, it tracks your existing checklist rather than replacing it. Your tasks, owners and deadlines become the structure it monitors, connected to up to three read-only data sources. The assistant surfaces status and exceptions against that checklist; your team still owns the sign-off and the judgment calls.
Why is AI Financial Close Assistant a bigger build than the other finance tools?
It covers a heavier, more structured workflow than a single report or dashboard: tracking reconciliation status across multiple accounts against your own checklist, with exception alerts throughout the close rather than at a single delivery point. That extra scope is reflected in its fixed price, which is shown on this page before you order.
How is this different from AI Financial Document Agent?
AI Financial Close Assistant tracks the close process itself: checklist status, reconciliations and exceptions. AI Financial Document Agent extracts structured data from financial documents like statements and receipts. Some businesses use the Document Agent to feed cleaner data into a close process this assistant then tracks.
How much does AI Financial Close Assistant cost to run each month?
Roughly $20 to $150 a month for AI model usage and hosting or scheduler fees, paid directly in your own accounts. The figure depends on how often reconciliation status refreshes during a close cycle. There is no separate ongoing platform fee from Upmark Labs beyond the one-time build price.
Can we add a step to the close checklist after launch?
Yes. Adding a checklist item within the 25-item limit, or adjusting when an exception triggers an alert, fits inside the monthly change hours included with maintenance. Expanding past that limit or adding a fourth data source is a larger change, quoted as a Change Quote first.
Is our close and reconciliation data handled securely?
Yes. Access credentials are shared by adding our team as a user or creating a key you control, never sent by email, and connections to your accounting systems are read-only, so nothing is altered during the close. Status data stays inside the report or dashboard you configured. Role-based access and audit logging are available as add-ons.
What happens if an account will not reconcile during testing?
During the three months of historical testing, we run your checklist against real past close data, so unreconciled patterns show up before launch, not during your first live close. The two included rounds of changes let you adjust how the assistant flags a stubborn account before you rely on it.
Can AI Financial Close Assistant maintenance be cancelled after launch?
Yes, plans bill monthly with no lock-in and can be cancelled for any coming month. The 30 days of support included with the build continue regardless of whether you take a plan. If you cancel, the close tracking keeps running on its existing configuration until you change something.
Find the close exceptions before the deadline does.
Order AI Financial Close Assistant and your close checklist and reconciliations are tracked live, with exceptions surfaced early, on a fixed delivery date.
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