See what your AI is actually worth.
One place to see
What your actual ROI of your agentic efforts
AI is spreading through every company. Leadership can't answer three basic questions.
Agents, copilots, skills, and AI apps — across multiple vendors and teams. And nobody has a real answer when finance asks.
What's running?
Agents multiply across vendors and departments with no inventory and no owners. Teams build duplicates of each other's work, shadow AI goes live with no review, and nobody knows what's connected to what.
What does it cost?
Spend is scattered across OpenAI, Anthropic, Gemini and more. No one can link dollars to a team, agent, or workflow — and cost spikes are discovered only when the bill arrives.
What are we getting?
Companies brought AI in to move business metrics, but there's no link between the spend and the results. When finance asks "why are we paying for this?", the answer is a shrug.
Jents is the AI ROI control system.
One place to see what runs, what it costs, and what it delivers — dollarized. Unlike observability tools and vendor dashboards that stop at tokens and cost, Jents connects AI activity to the business metrics it was brought in to move.
Know and control everything AI that runs.
A developer wants an agent that summarizes support tickets. Instead of building one from scratch, she opens the Hub, finds the one the CS team already built, sees its docs and owner — and installs it in one click.
- ✦One live inventory of every agent, skill, and AI app across all your vendors — whether it runs online or in a CLI.
- ✦Every agent has an owner, documentation, and a purpose.
- ✦An internal marketplace: teams share and adopt each other's agents, and updates roll out to all users automatically.
- ✦Governance built in — you decide who can create, review, and approve what goes live.
No shadow AI. No duplicated efforts. No manual updates.
Know exactly what every agent costs.
An agent starts failing and retrying in a loop on Friday night. Jents catches the cost spike and alerts you — before it becomes Monday's bill surprise.
- ✦Unified cost and token usage across all vendors — per agent, user, and team.
- ✦Drill into any agent: cost per run, cost per outcome, retries, failures and why.
- ✦Real-time alerts on spikes and anomalies before you hit limits, plus a forecast of your AI spend.
- ✦Every dollar linked to a team, agent, or workflow.
Fix problems before it's too late.
Know what your AI actually delivers.
Your support agent resolved 1,200 tickets this month. Jents shows its cost per ticket vs. your human baseline, the metrics it moved, and the dollarized bottom line: what it saved and whether it's hitting the KPI it was built for.
- ✦Connects to 20+ business systems to track the actual metrics each agent moves.
- ✦AI suggests which metrics to track per agent, then measures them against cost and goals over time.
- ✦Every agent gets an ROI profile: cost per outcome, improvement vs. baseline, dollarized impact — and the calculation behind it.
- ✦The ROI dashboard: best and worst performers, ROI vs. spend, and progress against company OKRs.
One view for the CTO who explains the spend — and the CFO who questions it.
Built for the entire org - not just tech people.
CTO / CIO / Tech leader
The CFO and board keep asking "what are we getting for this?" — and there's no defensible answer.
Every AI dollar linked to a team, agent, and outcome, with dollarized ROI you can put in front of finance. Defend the budget you have — and win the next one — with data.
In the product: the ROI dashboard — one view for the CTO and the CFO.
Head of AI
Agents multiply across teams and vendors — shadow AI, duplicated work, and no way to prove the AI program is working without becoming the bad cop.
One control layer to govern what goes live, drive adoption across the org, and show the impact of every initiative you own.
In the product: the Hub — real-time inventory, approval flows, marketplace.
COO / Business leader
Support, sales, and ops run AI initiatives, but every control tool is built for engineers. The business side flies blind on whether AI actually improves operations.
See the business impact of every AI initiative in your departments — no technical skills needed. Track the KPIs you own against the AI brought in to move them.
In the product: AI-suggested metrics, dashboards tied to business KPIs.
Observability tells you what you spent. It can't tell you what you got.
OpenAI and Anthropic consoles are single-vendor, usage numbers only.
✦ Jents is cross-vendor — and connects usage to business impact.
Datadog, LangSmith, Langfuse are built for engineers — they trace tokens and costs, and stop there.
✦ Jents is built for the whole org — and adds the layer they all miss: what the spend actually delivered.
Spreadsheets are manual, instantly stale, with no attribution — they break at scale.
✦ Jents is automatic from day one.
"ROI attribution is impossible."
We don't guess. Jents measures metric deltas against your baseline (human work, old system) and control groups, dollarizes with a transparent, editable calculation, and shows the math behind every number. Attribution with confidence levels — not a black box.
"We already have observability."
Observability tells you what you spent. It can't tell you what you got. Jents includes cost observability — and adds the ROI layer on top.
"We don't have capacity for another tool."
Jents works for you, not the other way around: auto-inventory, auto-documentation, AI-suggested metrics. Value from day one, without a rollout project.
Built on SOC 2 compliant infrastructure. SOC 2 certification in process.
Jents never accesses your data records — only aggregated numbers.
We don't store your data. Only what's visible in the app.