Governance
AI Governance Dashboard
One live dashboard shows AI inventory, risk, approvals and usage together, so status is visible without chasing five separate reports.
Leadership wants to know where AI governance stands, and today that means someone assembling five reports by hand. This dashboard pulls your AI inventory, risk levels, open approvals and usage into one live view, reading straight from the registers and records you already keep. You choose the figures that matter. The source data never leaves your own systems.
- AI inventory, risk, approvals and usage in one live view
- Figures read live from the records you already keep
- Access set so each audience sees the right level
$6,900
20–30 working days
Optional maintenance $345/mo
What it is
AI Governance Dashboard pulls your AI inventory, risk levels, approvals and usage into one live view, so leadership can see governance status at a glance instead of assembling it from separate reports each time. It reads directly from the registers you already keep in Notion, Confluence or a spreadsheet.
Why businesses buy it
When governance status lives in separate spreadsheets and documents, every board meeting starts with a scramble and the numbers are out of date by the time anyone reads them. Decisions get made on stale information, or postponed. A live dashboard ends that routine and lets leadership see risk and approvals without asking. This build connects to your existing records rather than replacing them. The written scope sets the sources and metrics included, so you know exactly what you will see.
Problems this solves
Governance status is rebuilt by hand for every leadership meeting
The dashboard pulls inventory, risk levels, approvals and usage into one live view. Leadership sees current status at a glance instead of waiting for someone to assemble separate reports.
Registers in Notion, Confluence and spreadsheets never line up
It reads directly from the registers you already keep, across up to three systems. Nothing is copied by hand, so the dashboard reflects whatever the source records say today.
Overdue reviews and high-risk tools hide inside long lists
Up to five views or monitors are configured to bring the items that need attention to the top. Overdue approvals and high-risk systems stand out without anyone hunting for them.
A good fit if
You already have governance data somewhere, such as a register or policy documents, but no single view that shows it all together.
Leadership asks for a governance status update more often than anyone wants to compile one by hand.
You want risk, approvals and usage visible in one place, without opening three separate tools to piece the picture together.
You need a living view that updates as your register changes, not a report that is out of date the day after it is sent.
Not the right fit if
You do not yet have the underlying register, policy or audit data for a dashboard to draw from. See AI Governance System.
You need the audit log itself, not a dashboard summarizing it. See AI Audit Trail.
You need compliance-specific monitoring with alerts, not a general status view. See AI Compliance Monitoring.
You need the underlying register of AI tools built first. See AI Model Inventory.
How it works
- We connect to your governance data. Your model register, policy documents and approval history, wherever they already live, such as Notion, Confluence or a spreadsheet.
- Key metrics are defined with you. Which figures leadership actually wants to see, such as open approvals, risk levels by system, or usage trends, not every possible number.
- The dashboard is built and populated. Pulling from your connected sources so it reflects what is really in your register, not sample data.
- Access is set up for the people who need it. Leadership, legal and IT can each open the same live view instead of requesting a report.
- It is tested against real scenarios. A handful of changes are made in the underlying systems to confirm the dashboard actually updates as expected.
- A findings report closes out the build, confirming what the dashboard shows and where each figure comes from.
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.
- Your business information (company basics, hours and brand voice), shared during intake, or confirmation we can reuse what you gave us on an earlier order.
- Your current list of AI tools and vendors, so the dashboard has something to draw from.
- Any existing register, policy documents or approval records, wherever they already live.
- A governance owner who can confirm which metrics matter most to leadership.
- Written authorization for any testing of the connections we build.
- 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.
- One decision-maker who signs off the final set of metrics and views.
The 72-hour rule. Send everything on your checklist, including access, within 72 hours of ordering so your build starts on time.
Timeline
Start
business information confirmed and your existing governance data located.
Weeks 1–2
Metrics agreed with your governance owner and connections to source systems built.
Week 3
Dashboard populated and access set up for leadership, legal and IT.
Weeks 3–4
Test scenarios run to confirm the dashboard updates as the underlying data changes.
Week 4
Your review and two rounds of changes to metrics or views.
Go-live
Live, recorded handoff session, and the 30 days of support begins.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $6,900 |
| Express | 15–25 working days | $7,950 |
| Rush | 10–20 working days | $8,950 |
What you receive at handover
- AI Governance Dashboard configured and deployed, reading from up to three of your existing registers
- One live view of inventory, risk levels, approvals and usage, with up to five configured views or monitors
- Workflow, prompt and guardrail configuration and connections to the agreed systems
- A test report with a control test log for the agreed scenarios
- An admin guide and a recorded 60-minute handoff session
- 30 days of post-launch support
Expected benefits and how to measure them
- Can save the hours spent pulling governance reports together before each meeting.
- Helps leadership spot overdue reviews and high-risk tools sooner.
- Makes the registers you already keep more useful without moving them.
- Time to prepare a governance update
- Time how long the last update took to assemble by hand. Compare with the time needed using the dashboard.
- Overdue reviews
- Count overdue items shown on the dashboard each month and watch the trend.
- Register entries with missing data
- Count incomplete entries the dashboard surfaces at launch, then recount each quarter.
Before you start: Note how long the last governance report took to put together and who did it. Record how many overdue reviews you can find today.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
The build price is one-time. Running the dashboard afterwards costs roughly $20 to $300 a month in your own accounts, mostly hosting and the connected tools it reads from.
AI usage during build and testing also bills to your own accounts, so every provider relationship stays yours.
Ask about running costsCustom requirements
Need the dashboard to pull from more than three connected systems, or show more than five metrics? Add a note at checkout for a written Change Quote, while your original order keeps its normal timeline. Larger or bespoke projects use the Custom AI request form.
Request a custom versionKeep it running
Monthly maintenance covers monitoring, fixes and change hours for a new metric or an adjusted view as leadership's questions change. It starts after the 30 days of support.
$345/mo (5% of the build price a month, includes 3 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 BI or GRC dashboard tool is a per-seat subscription on top of your other software | An agency builds a one-off report deck for a fee | Ours is one fixed price, shown on this page before you buy |
| Scope | A BI tool can show anything, but you build every view yourself | An agency deck reflects a moment in time, not a live feed | Ours is written on the Scope Card: up to five governance metrics, live |
| Delivery | A BI tool still needs real configuration before it is useful | A report deck can take weeks to compile properly | Ours has a fixed delivery time shown before you buy, with faster options |
| Freshness | A BI tool is only as current as whoever maintains the connections | An agency report is out of date the moment it is sent | Ours updates as your underlying register and records change |
Questions about this product
How much does AI Governance Dashboard cost?
The dashboard is a one-time fixed price for everything on the Scope Card: connecting up to three sources, defining the metrics with you, building and populating the views and setting access, plus a recorded handoff. The price panel on this page shows that figure at each delivery speed. Running costs afterwards are modest and are paid in your own accounts.
What does AI Governance Dashboard cost to run each month?
Running the dashboard afterwards costs roughly $20 to $300 a month in your own accounts, mostly hosting and the connected tools it reads from, such as Notion or Confluence. There is no separate platform license on top of that. The exact figure depends on how many systems feed the dashboard and how often they update.
How is AI Governance Dashboard different from AI Audit Trail?
AI Audit Trail records what happened: the individual actions and decisions kept for later review. AI Governance Dashboard instead shows a rolled-up status view, such as how many systems are registered, how many approvals are open, and where risk currently sits. Many buyers connect the dashboard to the audit trail's records once both are in place, so status and detail sit side by side.
What happens if the dashboard shows a risk figure that looks wrong?
The dashboard only displays what your connected systems report; it does not decide what a figure means or take action on its own. If a number looks off, your governance owner checks the underlying register or policy record it is drawn from, since that is where the correction belongs, and the dashboard reflects the update automatically once it is made there.
Can we add more metrics to AI Governance Dashboard later?
Yes. Adding a new metric, adjusting a view, or reconnecting a source that has changed usually fits inside the monthly change hours included with maintenance. Adding a fourth connected system beyond the three in scope, or a sixth metric beyond the five included, goes through a Change Quote agreed before that extra work starts on it.
Can we cancel AI Governance Dashboard maintenance later?
Yes. Maintenance runs month to month with no lock-in, so you can cancel any month once the 30 days of included support has ended. Unused hours do not roll over. Bigger work, such as a fourth connected system, goes through a Change Quote agreed before it starts.
Who owns the dashboard and the data it shows?
You do. The dashboard reads from your own connected systems and does not copy or store your governance data separately, so the source of truth always stays in your own accounts. We build the connections and the views, then hand it over with an admin guide and a recorded session, and every view stays yours to adjust.
Stop assembling a governance update from scratch every time.
Order AI Governance Dashboard and a live view of your AI inventory, risk and approvals is ready on a fixed delivery date.
Works well with
