You invested in AI. Can management keep up?

For individual engineers, AI is a superpower. But if you're running a team, managing a budget, or answering to a board — the best ROI you have is anecdotes. Spaces makes AI-driven development measurable again.

Free during beta · No credit card required

Spaces Logo MarkSpaces LogotypeSpaces Logotype
Engineering
Search
Spaces
Monitor
Plans
Docs
Control
Task Lists
Deviations
Agents
Workflows
RC
Productivity Multiple
7.2x
+1.4x vs last month
Task Throughput
Mar 9Mar 13Mar 17Mar 2101020304050
Monthly Savings
$248K
~1,840 human hours saved
Project Timeline
Feb 2Feb 15Feb 28Mar 13Mar 27Apr 9API GatewayAuth Service v2Checkout RedesignPayment IntegrationSearch Overhaul65%35%20%
LLM Cost by Project
Checkout Redesign
$570
Auth Service v2
$315
Payment Integration
$712
Search Overhaul
$498
API Gateway
$258
Planning
Implementation
Review
Testing
Cycle Time
Jan 6Jan 31Feb 25Mar 220.02.04.06.0Days
Iterations before Production
1/61/202/173/33/173/22012345678910
Time Allocation
42.0%18.0%15.0%12.0%13.0%
Agent Implementing42.0%
Human Implementing18.0%
Agent Reviewing15.0%
Human Reviewing12.0%
Waiting13.0%

AI changed how code gets written. Nothing changed how it gets managed.

You've probably tried one of these. Maybe both.

The Skunkworks Trap

You spin up an AI project. Ship the whole thing from a markdown doc in an afternoon.

Auth service. Checkout flow. The works.

Now try answering:

  • How much did it cost?
  • How long did each piece take?
  • What patterns did the agent follow?
  • How do you do it again for the next project?

You can't. The only gear you have is build.

The Sprint Trap

You bolt AI onto your existing sprint process. Same tools, same ceremonies, same cadence.

Sprint planning. Standups. Backlog grooming. Story point estimation. Sprint reviews. Retros. All designed for humans estimating work in two-week cycles.

None of it designed for AI that can ship a feature in an afternoon.

Your process became the bottleneck. Not AI.

The root cause is simple.

Project management tools were designed for humans estimating work in sprints. AI agents don't estimate. They don't attend standups. They don't commit to two-week timelines.

Your tools are the bottleneck. Not your team. Not AI.

0%

of companies report no measurable business results from their AI investments

BCG, 2025

0%

of engineering teams aren't using metrics to measure AI's impact on outcomes

Jellyfish, 2025

0%

of engineering leaders cite integrating AI into workflows as a significant pain point

Gartner, 2025

You're not alone. But it doesn't have to be this way.

Stop guessing. Start measuring.

Spaces is in early access. If your team is building with AI and you need to prove it's working — this was built for you.

Free during beta · No credit card required