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The Outcome Graph for enterprise AI

Your AI agents make thousands of decisions a day. None of them are tied to business results.

Juvera builds the link, so you finally know which agent decisions created value, which cost you money, and which silently failed.

Built for teams who got tired of learning what broke from their users.

$ pip install juvera-sdk
Juvera, The Outcome Graph

The problem today

You can see the trace. You can see the outcome. Nobody connects them.

Engineering tools end at the agent's last token. CRM events start when the human takes over. The gap between them is where your money disappears.

What Juvera adds

A system of record that compounds.

Every workflow lands in one place, so the next failure looks familiar, the next ROI question has a verified answer, and the next audit has evidence.

The Outcome Graph

Connect every agent decision to the business result it caused.

Your observability stack captures traces, tokens, and errors. Your business systems capture tickets, customers, and escalations. Juvera connects them into one Outcome Graph, so every AI workflow has a story, cost, verdict, and next action.

Most tools stop at

Prompt · Tool call · Token cost · Error log

Juvera adds

Business outcome · Human cost · Verdict · Fix

The Outcome Graph

Inputs

User Request
Agent Decision
Tool Calls
Human Input
Context, Data

Outputs

Business Outcome
True Cost
Verdict
Next Best Action

What the graph creates

Story

Refund agent escalated case

True Cost

$0.04 token + $3.80 human

Verdict

Supervision-heavy

Next Action

Add refund policy guardrail

How it works

From silent failures to measurable outcomes.

1

Story

Juvera reconstructs every agent decision as a readable workflow episode.

Value

Cuts investigation time and makes failures explainable.

2

Cost

We show the true cost of each workflow. Tokens plus human recovery and rework.

Value

Reveals where AI saves money or creates hidden operational drag.

3

Verdict

Every workflow gets a business verdict: ROI-positive, supervision-heavy, risky, or broken.

Value

Helps leaders decide what to scale, monitor, or fix.

4

Act

Prioritize the highest-cost issues, implement fixes, and track real improvement.

Value

Closes the loop from detection to verified impact.

Order status agent resolved inquiry
Customer retained$0.08ROI-positiveScale
Billing agent cited wrong refund policy
Supervisor rewrote response$14.20Supervision-heavyUpdate KB article
Onboarding agent leaked PII in response
Ticket escalated to compliance$22.50FlaggedAdd PII guardrail

One record for every workflow

From request to resolution.

True cost, not just tokens

Includes human time, rework, escalations, and recovery.

Decisions that drive outcomes

Know what to scale, supervise, or fix.

The cost most teams miss

Every tool shows you the $0.04.
Nobody shows you the $3.80.

Token spend is visible. Human clean-up, review, and escalation are where margin disappears.

What your agent cost

$0.04

Token compute. Visible in every observability tool, every dashboard, and every API bill.

What the human cost

$3.80

The reviewer who caught the bad output, escalated the failure, and cleaned up the mess.

Hidden Cost Estimator

The cost most teams miss.

Token dashboards show infrastructure cost. Juvera shows the operational cost hiding in human review, rework, escalations, and recovery.

Estimate your hidden recovery cost

Model pricing tier

Monthly AI workflows15,000
Workflows needing human cleanup8%
Average human cleanup per workflow12 min
Reviewer hourly cost$65

Your hidden cost path

15,000 workflows × 8% = 1,200 recoveries

1,200 × 12 min = 240 hours

240 hours × $65/hr = $15,600

Token: $105Total: $15,705150x multiplier

What most tools show

$105

Token spend

What Juvera exposes

$15,600

240 hours of human recovery per month

What you can reduce

$3,900

per month with 25% fewer recoveries

$15,600 / mo in hidden recovery cost

Works with your stack

Add Juvera in minutes. Prove value in weeks.

Juvera sits beside your existing agent stack. Wrap one workflow, connect the system of record, and start turning agent traces into business outcome episodes.

OpenAIAnthropicLangGraphCrewAIZendeskSalesforce
python · juvera-sdk
with j.workflow(
work_item_id=ticket_id,
workflow_type="ticket_deflection",
agent_id="support_agent",
):
agent.run(ticket)
✓ workflow captured
✓ token cost computed
⏳ awaiting Zendesk outcome
1

Capture the agent run

Prompts, tool calls, context, model cost, and handoffs.

2

Attach the business outcome

Ticket closed, customer saved, refund approved, escalation resolved.

3

Create the Outcome Graph episode

One record your engineering, ops, product, and finance teams can trust.

Meet Vera

Your accountability agent.

Vera sits on top of the Outcome Graph. Every answer traces back to real episodes, real costs, real attribution. Ask the questions only Juvera can answer.

“Why did supervision cost spike last Tuesday?”

Vera traces the spike to specific episodes. Which agent, which workflow, which threshold drifted.

“Which agent is bleeding the most margin right now?”

Attribution joined to cost, per agent, ranked by net value. The answer requires both halves of the graph.

“What would our ROI be if we fixed the top escalation pattern?”

Counterfactual grounded on real episodes. Not a guess. A projection from your own data.

FAQ

Frequently asked questions

We store the workflow telemetry needed to reconstruct episodes and attribute outcomes, encrypted in transit and at rest, scoped to your tenant only, and processed in your chosen region. You have complete control over what we capture and can delete data at any time. We do not use your data to train foundational AI models, and we do not share data with third parties.
Yes. Juvera is workflow-agnostic. Whether you run a single summarization call, a prompt chain for internal operations, or a multi-agent orchestration with tool calling, we still reconstruct the Story, Cost, Verdict, and Act so your team can track hidden supervision costs and detect new failure modes fast.
On the capture side, Juvera works alongside OpenAI, Anthropic, LangChain, LangGraph, CrewAI, and custom Python or TypeScript stacks. On the outcome side, we connect to systems of record such as Zendesk, Salesforce, and ServiceNow. Design partners get connector priority if we need to wire a deeper internal system during onboarding.
Typically it takes 3 to 4 weeks from kickoff to first verdicts on a single workflow. Week 1 gets the SDK instrumented and traces flowing. Week 2 wires the system-of-record connector. Weeks 3 and 4 assemble episodes, deliver the first ROI verdicts, and set up actionable alerts for regressions.
It means white-glove onboarding, not a self-serve portal. We work directly with your engineering and operations leads to instrument the highest-risk workflow, connect it to the system of record, and prove ROI in your environment. Design partners also get direct roadmap input, connector priority, and locked alpha pricing.
Early access · apply to join

Partner with us to govern your AI workforce.

Juvera is opening private alpha to a small set of engineering teams moving mission-critical AI workflows into production. As a design partner, we instrument one workflow with you, connect it to the right system of record, and show you the full Outcome Graph in your environment.