Move at the speed you can verify
DeliveryTower is the AI work control tower for product development - helping teams aim AI effort at strategically important, customer-valuable work that is actually ready to build and safe to verify.
The Problem
AI made coding faster. It also made wrong work cheaper.
AI coding agents can produce code quickly, but most teams are not constrained by typing speed anymore.
They are constrained by:
- unclear work
- weak strategic alignment
- poor verification readiness
- hidden dependencies and follow-on work
- wasted AI spend on low-value or high-risk changes
The result is a new kind of delivery chaos: more code, more retries, more review churn, more regressions, and more AI budget spent on work that should never have been automated in the first place.
Teams do not need unlimited AI output.
They need to move at the speed they can verify, toward a clear strategic target, solving the most valuable customer problems, while spending AI effort on the right work.
The Solution
DeliveryTower helps teams decide what AI should build, what humans should shape, and what work is truly ready to ship.
DeliveryTower sits above Jira, GitHub, and AI coding agents to assess work before implementation starts.
For every work item, DeliveryTower helps teams answer:
- Is this aligned with our strategy?
- Is this solving a real customer problem?
- Is it clear enough to build correctly?
- Can we verify it safely?
- What hidden work or blast radius comes with this change?
- Is this worth spending AI effort on?
Then it routes each item into the right delivery lane:
Three Pillars
Pillar 1
Aim at the right target
DeliveryTower checks whether work is aligned to roadmap themes, product goals, and real customer value - so teams do not waste delivery capacity on the wrong things.
What it does
- Scores strategic fit
- Highlights likely customer value
- Maps work to themes and priorities
- Helps compare work across competing goals
Pillar 2
Move at the speed you can verify
DeliveryTower evaluates whether a change is clear, testable, observable, and safe to release before AI starts generating code.
What it does
- Identifies missing requirements
- Checks verification strength
- Surfaces test and rollback gaps
- Recommends when discovery or human review is needed
Pillar 3
Spend AI effort where it matters
DeliveryTower helps teams reserve AI budget, review effort, and engineering attention for the work most worth automating.
What it does
- Routes work into the right execution lane
- Flags vague or risky items before AI attempts begin
- Detects hidden follow-on work and likely blast radius
- Learns from past PR friction, regressions, and review churn
How It Works
Assess the work
DeliveryTower ingests items from tools like Jira and GitHub, then evaluates each item for:
Route the change
Each item is placed into the most appropriate delivery lane so teams know whether to automate, shape further, or keep human-led.
Prepare the handoff
DeliveryTower turns vague work into delivery-ready packets with:
- Structured summaries
- Missing questions
- Acceptance criteria
- Verification notes
- Likely follow-on work
- AI-ready briefs
Learn from outcomes
After implementation, DeliveryTower learns from pull requests, review friction, regressions, and follow-on work to improve future recommendations.
What Customers Get
Better decisions before coding starts
Instead of asking, “Can AI write this?”
Teams can ask:
- “Is this the right thing to build now?”
- “Is this ready enough to automate?”
- “What proof do we need before we trust it?”
- “What else will this change trigger?”
- “Is this worth spending AI budget on?”
Outcomes
Ideal for teams that are
- Adopting AI coding agents but worried about regressions
- Struggling with vague backlog items
- Trying to align engineering work with product strategy
- Wasting time on low-value or hard-to-verify work
- Looking for a safer, smarter way to scale software delivery with AI
One-sentence positioning
DeliveryTower helps product teams move at the speed they can verify - toward the right strategy, for the right customers, with AI effort spent on the right work.
Build faster. Stay aligned. Waste less AI effort.
Use DeliveryTower to assess work, route execution, and learn from real delivery outcomes before coding chaos sets in.