Discovery & Planning
AI Feature Request Triage
Deduplicates and categorizes feature requests and links them to customers.
Discovery & Planning
AI Roadmap Assistant
The roadmap kept current against real progress, with trade-offs explained to stakeholders in plain language on a schedule.
Stakeholders want to know what moved, what slipped and why, and the product manager ends up answering the same questions in meeting after meeting. The Roadmap Assistant reads progress from your ticketing and planning tools, keeps the roadmap view honest, and sends a plain-language update on schedule. It only reads, so your roadmap of record stays exactly as your team keeps it.
- Roadmap status kept in step with real ticket progress
- Slips explained in plain language, with the reason
- Fewer status meetings for your product manager
$3,400
20–30 working days
Optional maintenance $249/mo
What it is
AI Roadmap Assistant reads progress from your ticketing tool and keeps the roadmap reflecting reality, then explains what moved, what slipped and why in a recurring update to stakeholders. It answers the questions stakeholders keep asking a product manager directly, without pulling that manager into another status meeting.
Why businesses buy it
An out-of-date roadmap erodes trust quickly. Sales promises dates that moved long ago, leadership hears about slips late, and the product manager spends hours each week writing status updates by hand. The assistant keeps the picture current from the tools your team already updates and explains trade-offs before anyone has to ask. Everyone works from the same view. Because it is read-only, and the sources, metrics and alerts are set on the Scope Card before you order, there are no surprises in what it touches.
Problems this solves
The roadmap slide stops matching what engineering is actually building
The assistant reads progress from your ticketing tool through a read-only connection. Its roadmap view stays in step with what is really moving, rather than with last month's plan.
Stakeholders keep asking the product manager the same status questions
Up to twenty-five recurring questions are set up, such as what slipped this month. The assistant answers them from ticket data, so nobody needs another status meeting to find out.
Slipped work only gets explained when someone notices a date moved
Each recurring update explains what moved, what slipped and why, drawn from changes in your tickets. Up to five alerts can flag a slip as soon as it shows in the data.
Writing the monthly roadmap update swallows a whole afternoon
The update is written and delivered on schedule to email, Slack or a dashboard. The product manager reviews it and adds judgment, instead of compiling status by hand.
A good fit if
Your roadmap drifts out of date between updates, because keeping it current means someone manually checking ticket status across the team.
Stakeholders regularly ask why something slipped or what changed, and answering that well takes real time to write up clearly each time.
You can define the metrics that matter for roadmap health, such as items behind schedule or items blocked, so updates stay focused on what stakeholders actually track.
You want a recurring update delivered to email, Slack or a dashboard, rather than a wiki page nobody remembers to open.
Not the right fit if
You need customer feedback grouped into themes to inform the roadmap, not the roadmap communication itself. See AI Feedback Synthesis.
You need incoming feature requests deduplicated before they reach the roadmap. See AI Feature Request Triage.
You need the roadmap items themselves drafted as specs, not just tracked and explained. See AI PRD Generator, or AI Product Manager Agent.
You need roadmap tracking connected to more than three read-only data sources. Add a note at checkout for a written Change Quote, or use our Custom AI inquiry form.
How it works
- Progress is pulled from up to three sources. Your ticketing tool, such as Jira or Linear, plus any planning tool like Productboard, connected as read-only so the roadmap of record stays untouched.
- Status changes are tracked against plan. Items that moved, slipped or got blocked are identified against the metrics you defined, such as which delays actually matter to stakeholders.
- Trade-offs are explained in plain language. When a slip happens, the reasoning behind it, drawn from linked ticket comments and context, is written out rather than left as a bare status change.
- A recurring update is delivered on schedule. To email, Slack or a dashboard, with up to five alerts for changes that cross a threshold you set, such as a milestone slipping by more than a week.
- Stakeholder questions are anticipated. The update format is built around what your stakeholders were already asking a product manager, so fewer questions need a live answer.
- Results are checked against your own history first. Three months of past roadmap changes are used to confirm the update accurately reflects how your team actually tracks progress.
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 your ticketing and planning tools, such as Jira, Linear or Productboard.
- Your definitions of the metrics that matter for roadmap health, such as items behind schedule or blocked.
- At least three months of historical roadmap data, so results can be checked against what you already know.
- The report recipients and the delivery channel, whether that is email, Slack or a dashboard.
- 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 sign off on the finished setup.
- 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, roadmap sources and health metrics confirmed.
Weeks 1–2
Status tracking and trade-off explanation logic are built.
Week 3
Read-only access is connected across up to three sources.
Weeks 3–4
Results are checked against three months of your historical data.
Week 4
Your review and two rounds of changes to the update format.
Go-live
Live, recorded handoff session, 30 days of support begins.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $3,400 |
| Express | 15–25 working days | $4,000 |
| Rush | 10–20 working days | $4,600 |
What you receive at handover
- AI Roadmap Assistant deployed in your environment
- Read-only connections to up to three sources, including your ticketing tool
- One recurring stakeholder update or dashboard, with up to five alerts
- A test report checked against three months of your ticket history
- An admin guide and a recorded handoff session
- 30 days of post-launch support
Expected benefits and how to measure them
- Can reduce how often a product manager is pulled into status meetings.
- Helps stakeholders hear about slips early, with a reason attached.
- Makes the roadmap easier to trust because it reflects ticket data.
- Status meetings and update requests
- Count status meetings in the calendar and ad hoc update messages for a month before launch. Repeat the count after.
- Time spent writing roadmap updates
- Record hours spent on each update before launch. Compare with time spent reviewing the generated update.
- Slips flagged before the planned date
- Each quarter, count slips the alerts raised ahead of the due date. Compare with slips discovered only after the date passed.
Before you start: Count the status meetings and update requests a product manager handles in a month. Time how long the current roadmap update takes.
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 it costs roughly $20 to $150 a month in AI model usage and hosting or scheduler costs, depending on roadmap size and update frequency.
AI usage during the build and testing is also billed to your accounts, so you keep ownership of every provider relationship. Nothing runs through us.
Ask about running costsCustom requirements
If you need something outside the Scope Card, add a note at checkout. You get a written Change Quote, and that work only starts once you accept it. Your original order runs on its normal timeline either way. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionKeep it running
For this build, monthly maintenance includes change hours for work such as a new tracked metric or an updated stakeholder list. It starts after the 30 days of support that come with the build, bills monthly, and can be cancelled any month.
$249/mo (the minimum fee, 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 roadmap tool charges a monthly fee per stakeholder seat | A product consultant quotes per update cycle | Ours is one fixed price, shown on this page before you buy |
| Scope | A roadmap tool is a blank timeline you maintain yourself | A consultant agrees scope for each engagement | Ours is written on the Scope Card before purchase |
| Delivery | A roadmap tool is live once someone rebuilds the timeline in it | A consultant engagement usually takes several weeks | Ours has a fixed delivery time shown before you buy, with faster options |
| Currency | A roadmap tool is only as current as the last manual update | A consultant's updates depend on the meeting cadence | Ours pulls status from your ticketing tool automatically |
| Explanations | A roadmap tool shows a status change with no context | A consultant's explanations depend on who wrote them | Ours writes out the trade-off behind each change |
Questions about this product
How much does AI Roadmap Assistant cost?
The build price for each delivery speed is shown in the panel on this page. It covers connecting up to three read-only sources, status tracking against the metrics you define, results checked against three months of your history, and two rounds of changes. All of it is listed on the Scope Card, so you know the limits before you order.
Does it change the roadmap or just report on it?
It reads status from your ticketing and planning tools as read-only, so it reports on and explains the roadmap rather than editing it. Any decision to move, cut or reprioritize an item stays with your product manager. This keeps the roadmap of record under your team's control at all times.
How long does AI Roadmap Assistant take to launch?
Delivery time for each speed is in the panel on this page. The clock starts once your intake is submitted, including read-only access to your ticketing and planning tools, the health metrics you want tracked and the stakeholder list for the update. Three months of history lets us check the explanations against slips your team remembers.
What tools does it need read access to?
Up to three read-only data sources, typically your ticketing tool such as Jira or Linear plus a planning tool like Productboard. Access is shared by adding our team as a user or creating a key you control, never by email, and nothing is written back, so your roadmap of record stays exactly as your team maintains it.
How does it explain why something slipped?
It draws on linked ticket comments and context around the status change, then writes the reasoning out in plain language rather than showing a bare status update. This is built to answer the question stakeholders usually ask a product manager directly, before that question needs a live meeting.
Can I add more stakeholders or metrics later?
Small adjustments, such as a new tracked metric or an updated recipient list, fit inside the monthly change hours that come with maintenance. A source beyond the three included, or a second delivery channel, is scoped and quoted separately as an add-on rather than folded into those hours, and you approve that cost first.
What does running the Roadmap Assistant cost each month?
Roughly $20 to $150 a month in AI model usage and hosting or scheduler costs, paid directly in your own accounts, scaling with roadmap size and how often updates are generated. We do not add a markup on top, so the running cost tracks your actual usage rather than a flat fee.
Do I own the update configuration afterward?
Yes. The tracking and reporting configuration runs on your own accounts and tools, not ours, so there is nothing to migrate if you change platforms later. The 30 days of post-launch support cover fixing anything that does not match the Scope Card, and monthly maintenance afterward is optional.
Stop answering the same roadmap question every week.
Order AI Roadmap Assistant and your first stakeholder update is ready on a fixed delivery date. The scope above is what you get, in writing, before you pay.
Works well with
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AI Product Manager Agent
Synthesises feedback, drafts specs and maintains the backlog.
Discovery & Planning
AI Feedback Synthesis
Groups product feedback from every channel into ranked themes.