Milestone raises $10M to maximize the ROI of generative AI coding for enterprises 🎉
FEATURE SPEND ATTRIBUTION

Control the true cost
of every initiative
at each stage.

Connect AI spend to the full delivery cycle. See where it
happens, what it supports, and where it hides cost.

Get a demo Explore Spend Hub →
CONNECTS AI tools/ Git/ Project management/ HR/ Delivery
Planning
Effort $1,240
Epics, tickets, ownership
AI work
Tokens $3,180
Tokens, model calls, prompts
Code
Agent runs $1,860
Agent runs, coding sessions
Review
Review $980
Human review, rework
Deploy
Tools $420
Tool usage, deploy activity
Post release
Upkeep $740
Maintenance, quality fixes
FEATURE SPEND PROFILE
Checkout Redesign
AI SPEND
$8,420
HUMAN EFFORT
184 hrs
AGENT ACTIVITY
37 runs
AI CONTRIBUTION
31%
Review rework
â–² 18%
Efficiency
Improving
RECOMMENDED ACTION
Tighten agent usage in backend review
AI SPEND CYCLE
Planning
$1,240
AI work
$3,180
Code
$1,860
Review
$980
Deploy
$420
Post release
$740
FEATURE SPEND PROFILE
Checkout Redesign
AI SPEND
$8,420
AI CONTRIBUTION
31%
Action  Tighten agent usage in backend review
THE GAP

AI spend grows inside the cycle. Most
teams see it only after the invoice.

AI cost spreads across the cycle, and beyond it, on the tools used by sales, support, and operations. Every team sees a different slice.

Financesees invoices.
AI teamssee usage dashboards.
Engineeringsees tickets and pull requests.
Productsees shipped features.
Business teamsrun AI tools of their own.

No one sees the full picture. Milestone connects every AI spend, in engineering and beyond, to the work and the outcome.

Milestone closes that gap.

Finance invoice
AI tool seats and usage
Tickets and pull requests
Product roadmap
AI Spend Cycle Overview
One connected view of spend, work, and outcomes.
CYCLE OVERVIEW DATA

The full cost cycle, connected.

Milestone connects every part of the production cycle into one view of spend, activity, and outcomes.

Planning data
Epics, tickets, roadmap, product areas, ownership
AI usage data
Tokens, prompts, model calls, agent runs, seats, tools
Git data
Branches, commits, pull requests, reviews, merges, rework
Team data
Human effort, allocation, seniority mix, capacity
Delivery data
Cycle time, review time, deploys, quality fixes, upkeep
Planning
AI work
Code
Review
Deploy
Post release
MILESTONE
Operating view
SPEND PROFILE BY DISCIPLINE

AI spend is no longer
just engineering spend.

Milestone profiles AI cost across every discipline in modern delivery, from product and design to code, analysis, QA, and agents.

Every profile measured across
Spend Usage Output Quality Risk ROI
Engineering
Needs control

Code generation, reviews, tests, refactors, PR support.

AI SPEND
$11.2k
AI SHARE
38%
Output ↑Quality →Risk
Product
Creating value

Specs, discovery, requirements, prioritization, roadmap.

AI SPEND
$3.4k
AI SHARE
24%
Output ↑Quality ↑Risk
Design
Safe to expand

UX exploration, prototypes, content, design reviews.

AI SPEND
$2.1k
AI SHARE
19%
Output ↑Quality ↑Risk
Data & analysis
Creating value

Dashboards, queries, insights, reporting, analysis.

AI SPEND
$4.6k
AI SHARE
41%
Output ↑Quality →Risk
QA & DevOps
Needs control

Test creation, release support, debugging, infra workflows.

AI SPEND
$3.9k
AI SHARE
33%
Output ↑Quality →Risk
Agents
Safe to expand

Autonomous tasks, PR creation, code changes, background runs.

AI SPEND
$6.8k
AI SHARE
57%
Output ↑Quality →Risk
One spend profile across human and AI work, so leaders can control cost, prove ROI, and scale AI where it pays off.
TOTAL AI SPEND
$32,000
AVG AI SHARE
35%
AI SPEND INSIGHTS

Ask better spend questions.

Milestone does not just report spend. It shows leaders where to act.

SPEND SPIKE
Spend spike detected

Agent cost rose during review for Billing features.

HIDDEN REWORK
Hidden rework detected

AI backend changes cut coding time but raised review effort.

Coding time
down
Review effort
up
POSITIVE ROI
Positive ROI signal

Onboarding used more AI and shipped faster with no quality drop.

SCALE SIGNAL
Scale signal found

AI sped up onboarding delivery with no rise in post release fixes.

WHAT YOU MANAGE

Manage AI spend where work
happens.

Every view of cost, across humans, agents, teams, features, and outcomes.

Every view scored on

Spend
Usage
ROI
Quality
Risk
Control
By stage

By stage

Planning, coding, review, test, deploy
By feature

By feature

Cost per shipped capability
By product area

By product area

Spend mapped to business lines
By team

By team

Compare usage and efficiency
By discipline

By discipline

Engineering, product, design, data, QA
By agent

By agent

Track autonomous work and loops
By outcome

By outcome

Speed, quality, rework, effort saved
Post release

Post release

Bugs, fixes, regressions, follow up work
THE DIFFERENCE

Milestone shows what
AI spend changed.

Vendor tools stop at usage. Milestone connects AI spend to the delivery cycle, revealing where it improved speed, where it created rework, and where leaders should expand, limit, or redirect AI.

MILESTONE OPERATING VIEW
AI USAGE IN  â†’  DECISIONS OUT
USAGE IN
Prompts
Agent runs
Sessions
Model calls
Spend location
Review stage
Feature impact
Checkout
Team and agent use
3 teams · 5 agents
Human effort saved
184 hrs ↑
Quality and rework
rework â–² 18%
Post release cost
$740
Next best action
Tighten agent review
DECISIONS OUT
↑Expand
â—ŽControl
⇄Redirect
WHO IT IS FOR

Built for every leader who
owns AI spend and value.

CTOs and VPs of Engineering

CTOs and VPs of Engineering

Control AI spend across the org and prove where AI improves delivery, quality, and efficiency.
Engineering Managers

Engineering Managers

See how AI spend affects team delivery, review load, rework, and throughput.
Finance and Operations

Finance and Operations

Move from vendor invoices to feature cost evidence. Know where budget goes and what it produced.
Product Leaders

Product Leaders

See the true AI and engineering cost behind roadmap items and shipped features.
AI toolsGitProject managementHRDelivery systemsCycleoverview

AI spend needs cycle visibility.

Milestone connects AI spend to the full delivery cycle, so leaders can cut waste, prove ROI, and scale AI where it creates value.

Get a demo Explore Spend Hub →

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