Agent Insights

Turn AI spend into engineering ROI

See AI usage, budget, and outcomes in one place, connecting every dollar spent to the work that ships.

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$29.8kTracked AI Spend Across Repos

35% SavedOptimized via Dynamic Model Router

100% AttributionForeground IDE vs. Autonomous Agents

SOC-2 Type IIZero code stored or trained on

The Problem

AI spend is growing. Visibility isn't keeping up.

More agents, more models, more spend, but little clarity on where it goes or what it actually delivers

Token & Category SpendThis month

$28.8ktotal spend

Features created31%

Fixes & rework16%

Tests & reviews3%

Exploration & overhead51%

Cursor14.2Btokens

Claude API11.8Btokens

Copilot8.6Btokens

Ellie turns your AI data into answers

Ask Ellie what's driving spend, where AI is delivering impact, and what needs attention across your engineering team

Model Routing

Standardize on Claude Opus 4.8 for High-Stakes Work

4.1% error rate vs 6.5% on Sonnet 5.0

Cost Alert

Top 5% of Sessions Burn 84% of Tokens

Target outlier sessions in Custom Dashboard MVP

Heavy Workload

Incident Management UX Averages 386M Tokens/Session

4x team median (88.4M)

Smart Model Routing

Route simple work to cheaper models and reserve frontier models for the problems that actually need them.

35% Avg Cost Savings

claude-opus-4.8Premium

55%

claude-sonnet-5.0Routed

30%

glm-5.2Cost Efficient

15%

Capability Adoption Across the Team

See which features your team actually uses, and which ones they skip.

Sub-agents

90%

Plan mode

60%

Skills

90%

MCP tools

80%

Task tracking

20%

Latest model

70%

Skills Ellie Suggests

pr-reviewer-performance-auditbackend-error-triagefrontend-designsystematic-debugging

Skills Used Across Team

frontend-design70shadcn53ui-ux-pro-max44web-design-guidelines41building-intelligence37systematic-debugging26

Spend Pattern

Cost efficiency and spend trends over time.

Total Members10

Total Tokens34.6B

Total Sessions1,117

Avg Efficiency Score86 eff/$

Spend Trend

$22,351-85%vs prior month

Filter by Trend, Teams, or Models.

Model Usage Breakdown

Which models your team is running and their cost share.

ModelShare

claude-opus-4-8

claude-fable-5

claude-opus-4-7

claude-sonnet-5

other

Budgeting

Every AI dollar, tied to an outcome

Spot what's driving costs, catch inefficiencies early, and make smarter decisions before budgets get out of hand.

Actual spend this month$15,329vs $10,700 budget

Monthly run rate$16,651$5,951 over budget

Cost per merged PR$1,410down 22% vs pre-AI baseline

Cost & Category Intelligence

Features created$9,00031%

Fixes & rework$4,48316%

Tests & reviews$7473%

Exploration & overhead$14,56950%

Budget Line Items

ItemAmountStatus

Total Monthly Budget26 projects

$10,700

Actual This Month

$15,329

143% of budget

Monthly Run Rate

$16,651

$5,951 over

Projects Over Budget

Needs attention

Untracked Spend$2,376 unallocated · 17 projects without a budget

$8,395

55% of Spend

Weekly Spend PulseWeek of Jun 29 · Top mover: Product Re-haul V1 [Design Team] +$412

$4,447

34% WoW

Unified cost aggregationPulls from Claude, Cursor, Copilot, and others automatically.

Budget cap alertsPer-team and per-tool limits with alerts before overage.

Ask Ellie about your budgetPlain-English answers to budget questions, instantly.

Project Budgeting

Track spend and velocity by project.

Know which projects are over budget before you hit the invoice.

Project budget breakdown table showing Project Re-haul V1 at $5,273 spent (527% of budget, 3 members, 97 sessions) and Team Insights March 2026 at $728 spent (61% of budget, 7 members, 76 sessions), with a Budget vs Actual weekly bar chart

Per-project spend trackingSpent and weekly burn rate for every project, updated live.

Member and session countsTrack sessions and tasks per engineers and tie it to outcomes.

Budget vs Actual weekly viewShows where spend exceeded and when it corrected.

Individual Spend Tracking

Know the ROI behind every engineer

See how AI spend translates into shipped work, engineer by engineer

Agent Insights dashboard showing spend breakdown by member with stacked bar charts across features created, fixes and rework, tests and reviews, and exploration

Per-engineer ROI breakdown

Spend, acceptance rate, and time saved per engineer.

Adoption gap detection

Flags low-utilization seats and unrealized budget value.

Visible to engineers too

Engineers see their own data shared clarity.

Customer Story

BeSpoke ships faster with full AI visibility

"Entelligence gave us the first real view into what our AI investment was actually returning. We stopped guessing and started optimizing."

VP of EngineeringBeSpoke

187PRs shipped in 8 weeks

0Critical issues post-deploy

43%Incidents auto-resolved by AI

8 wksTime to full visibility

Get started

Start measuring your AI ROI.

Live view of how your engineering team spends every AI dollar and connects

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No credit card requiredConnects in under 10 minutesSOC 2 compliantYour code is never stored