Finally, make
AI features
pay off
The instant a feature ships, the exact buyers and reps who asked for it find out their blocker is gone and we track the revenue from there. All automatically.
What happens when a feature ships
01 · The Gap
AI is shipping more product than ever.
It's not translating into revenue.
Your developers ship 2× the code with AI. But every other layer of the product operation is still manual. Features are built without knowing their worth. Specs are written without grounding in what customers actually said. And shipped features never reach the people who asked for them.
Features built without knowing their dollar value
Pendo 2024
of features never achieve meaningful adoption, built without knowing who asked, or why.
Deals Lost because of a missing feature
Ebsta / Pavilion 2024
the feature usually ships, but no one in sales ever knows.
Deals Reactivated
Arkweaver
of those deals are re-engaged when engineering ships exactly what the prospect was waiting for.
This isn't a notification problem. It's an operations problem. Arkweaver is the operating layer your product team is missing.
02 · The Reality Check
Every sprint, revenue slips through
the same three gaps.
01
The $200K lost deal
A team loses a six figure contract, because the platform lacked one capability. Turned out, engineering shipped that exact feature three months ago. The rep never knew. The prospect moved on.
02
The feature your customer never asked for
Features are built on averages of customer conversations, not what customers actually want. The result: beautifully written requirements for features nobody asked for. Customer churns because they think no one is listening.
03
The rep still pitching yesterday's product
Sales teams don't read changelogs. They can't. There are too many. So reps pitch the product they remember, not the product that exists. The gap between what you've built and what the market knows you've built grows every sprint.
"We rebuilt our entire stack for AI. Our engineering team is cooking. But I did a test and most of our customers and reps had no freakin' clue about half the features."
03 · How It Works
Connect your tools.
Arkweaver automatically connects the rest.
Your backlog gets a dollar value
Arkweaver reads your call recordings, CRM notes, and support tickets. It maps every feature request to your Jira or Linear backlog and attaches a pipeline dollar value to each one. Before sprint planning, you know exactly which items are sitting on the most revenue.
Specs write themselves from what customers said
When it's time to build, Arkweaver generates crucial internal communication grounded in real customer language. Every requirement is sourced and cited. No hallucinated context.
No one had to remember. No one wrote the emails. The people who pushed for these features now know they exist.
The right people are notified the moment it ships
When a ticket moves to Done, Arkweaver identifies every buyer, rep, and CSM who asked for that feature and sends them a personalized message from your domain, weighted by deal stage and interest level. No blast email. No one falls through the cracks.
Measuring the impact of each feature
Arkweaver then measures whether that feature turned into new meetings, reactivated deals, and more sales activity. No more shipping into a black hole.
04 · The Platform
3 things your team stops
doing manually.
Arkweaver replaces three manual workflows that every product and revenue team runs today without creating AI slop. No guessing at customer demand. No losing customer context. No shipping features that aren't used.
Product Intelligence
Stop scrambling on prioritization
Revenue scoring on every backlog item
Every open feature request gets a pipeline dollar value before sprint planning. You see exactly which items have the most revenue waiting behind them. The roadmap becomes a financial decision, not a debate.
Product Operations
Stop writing specs no one reads
PRDs & user stories generated from real customer language sourced and cited.
Arkweaver pulls the exact quotes, call moments, and ticket context that justify each requirement. Every line traces back to a real customer conversation.'
Product Marketing
Stop wasting features
Targeted outreach to the right buyer, rep, and CSM for the problems they most want solved.
Arkweaver matches every shipped ticket to each stakeholder who requested that capability and sends them a tailored message the moment it goes live. Your products produce the revenue they deserve.
05 · Who We Work With
Built for the executives who own revenue and product.
Arkweaver is the connective tissue between what your customers ask for, what your engineers build, and what your revenue teams can close.
Win Deals You Normally Lose
Your reps lost deals because a feature didn't exist. Now it does and they need to know. Arkweaver finds those reps, prospects, and customers and sends relevant alerts automatically the moment it ships. Only for the most important features.
- Automatic outreach when a deal blocking feature ships
- $ weight revenue roadmap to drive product strategy
- Revenue attribution tied directly to prospect demand
Your work ships. Now everyone knows it.
You make the calls that drive the product. Arkweaver makes sure they land with internal and external comms written from real customer language so the whole team flies as one.
- Revenue scoring on every backlog item before sprint planning
- Briefs and marketing generated from real customer language
- Post-ship attribution: which features moved pipeline
The right messages read by the right people
Reps know how to pitch the most up-to-date features in the way customers talk about them.
- Reps alerted the moment a feature they promised ships
- CSM notified when their big accounts have new features.
- No Slack channels, no changelogs, no blast emails
06 · Infrastructure
Enterprise infrastructure.
Not a vibe-coded prototype.
Arkweaver runs on proprietary tooling we built from the ground up for this workflow. Riko is our intelligence agent. Kenji is our action agent. Both are deployed and running today.
Problem to feature matching, Revenue scoring, and LLM extraction.
Riko ingests unstructured signals from call recordings, CRM notes, and support tickets. It maps them to your backlog using semantic AI, not keyword matching. It scores each feature by dollar value this feature will bring in. It generates communications grounded in what customers actually said. Everything Arkweaver produces passes through it. Deployed and running today.
Zero spam. Full attribution. No workflow changes.
Kenji triggers the right communications at the right time. It routes by relationship type, internal vs. external, interest level, and by seniority. It sends from your domain. It tracks meetings and mentions. It never messages someone twice about the same feature. Every send is auditable end to end.
07 · Build vs. Buy
Why every team that tries to build this, stops.
It sounds like a simple integration within Claude. It isn't, we tried. To replicate Arkweaver, your team would need to build and maintain three genuinely hard AI problems indefinitely:
Semantic feature matching
Mapping unstructured call recordings to shorthand Jira tickets is an AI problem most teams underestimate by 10×. Fuzzy language, incomplete context, product jargon, the surface area is enormous.
Revenue scoring per feature
Assigning accurate dollar values to backlog items requires live CRM data, deal stage weighting, recency decay, and multi-signal aggregation. Getting it wrong means building the wrong thing. Getting it right is Arkweaver.
Spec generation without hallucination
LLMs hallucinate support. Arkweaver doesn't. Our specs are grounded in real customer language: the exact quotes, call moments, and ticket references that justify every line. No AI slop.
"At my last company, I watched millions of dollars go into amazing features that nobody used. With AI, we're seeing teams ship 2× as much, but no growth in revenue. In fact, no one can keep up. We built Arkweaver because the operating layer to turn that output into revenue simply didn't exist. Now it does."
08 · FAQ
Questions we hear before every
customer signs.
Arkweaver reads your CRM and call recordings and builds a dollar-value model for every open feature request per person and weighted per feature. That way you only get what will move the needle, not just a ton of tiny requests.
LLMs average out. It's why you end up with content that sounds just about right, but not. Arkweaver only writes what it can source. Every line of a PRD or user story is grounded in real customer quotes and call timestamps. You can trace every requirement back to a real conversation.
Jira, Linear, Shortcut, Gong, and Fathom. Additional integrations coming everyday.
9 · Let's Build
Close the gap between product and revenue.
Schedule a call.
"At the end of the day, I own a revenue number. Arkweaver helps me make sure I'm hitting that."