Agreed definitions
The consulting team sets the criterion; each ministry approves what a completed procedure is and what its baseline is. No approved definition, no published indicator.
LeanGov measures which procedures citizens complete with the State’s AI agents, where they get stuck and what each one costs in AI. And it turns that measurement into what matters: time given back to people, businesses that are born and formalized, and a contribution to GDP per capita that can be proven.
Or start from what we hear most often:
Case study · first national deployment
National AI-agents program for citizen proceduresGovernment of El Salvador · Secretariat of Innovation · measured by LeanGov from the very first procedure×500licenses in one quarter18processes in 6 months5Mlicenses at scaleSee the caseThe impact
A procedure that used to take weeks is resolved in one conversation. That difference, multiplied by millions of citizens and measured procedure by procedure, is economic growth that can be proven.
Procedures resolved in minutes, at any hour, with no line and no counter. Days of waiting that go back to work, study and family.
Measured as: time saved per completed procedure against the traditional channel.Opening a business, filing taxes or exporting stops being a barrier. More formal entrepreneurs, faster and at a lower transaction cost.
Measured as: businesses created, days to registration and businesses active after a year.The agent serves the capital and the countryside alike, the person who knows the paperwork and the one who never filed anything. Segments that don’t use it become visible, and get fixed.
Measured as: adoption, usage and abandonment by age, region and segment.Every completed procedure connects to its economic effect: avoided transaction costs, formalization, SMEs that grow and export, contribution to GDP per capita.
Measured as: the economic-impact module, with declared assumptions and confidence levels.And the State learns. It knows which agent performs and which fails, where to put licenses and AI budget, and what to fix first. With one single account, auditable, in its own cloud.
See what we measureWhat we measure
A completed procedure is one the citizen starts with the agent and the ministry accepts. Everything else is measured against that.
Reading it: each bubble is a process · size = procedures started per month · position = what the AI spend is buying · illustrative data
The LeanGov methodology
Indicators cascade down from the country’s objectives; evidence flows up from every completed procedure. What a ministry measures is what the Presidency decides on.
Top downPriority flows down: vectors, targets and owners
Bottom upEvidence flows up: completed procedures and return
The consulting team sets the criterion; each ministry approves what a completed procedure is and what its baseline is. No approved definition, no published indicator.
The agent channel against the traditional one, and license-rollout stages against each other, to separate the agent’s effect from other changes.
Every indicator states which data backs it and what is missing. If a source isn’t there, it is reported; nothing is estimated in silence.
Program leadership sees the total impact. Each ministry sees its processes. Technical teams see the detail. Through the dashboard, API and MCP, with the same permissions.
How it works
One cycle inside the platform. The measured result becomes the new baseline, and if the failure returns, so does the alert.
Stage 1 · Context
Agent telemetry, each procedure’s status over API, the protected identifier, and licenses and tokens. With that, every process gets its baseline: flow, adoption, friction and AI consumption.
Economy
Treasury
Health
Stage 2 · Diagnosis
A document that blocks, a step where the agent fails, a segment that barely uses it. Every anomaly is grouped by process, step, segment and agent version, and prioritized by the procedures at risk.
Stage 3 · Treatment
Fix the process at the ministry, adjust the agent, move usage quota between segments or expand licenses where the agent already performs. Prioritized by expected effect; measured afterwards, to close the case.
Who does each step
The return
The return on public AI isn’t assigned licenses or conversations. It’s what the citizen completed, over what it cost in AI.
AI investment
US$ 5,240
tokens attributed to the process / month
Completed procedures
12,480
started with the agent and accepted by the ministry
AI cost per completed procedure
US$ 0.42
per process, segment and channel
Friction · reported separately
2,310
started and never finished, by step and reason
How we measure economic impact
A platform module carries every completed procedure through to economic impact: time saved, businesses created, businesses that grow and export, and estimated contribution to GDP per capita. Every figure declares its assumptions and its confidence level.
Against the traditional channel. Agent adoption by age and region; procedures completed through the platform.
Days from start to registered business; businesses still active after a year.
Foreign-trade procedures completed with agents; associated formalization.
With declared assumptions: avoided transaction costs and formalization, calibrated quarterly and read against the region.
The baselines are validated with program leadership at launch. Whatever has no source or no measurable process behind it is declared as such.
Case study
The first deployment: the Government of El Salvador is launching AI agents for citizen procedures, from 10,000 licenses to 5 million in the first quarter of 2027. LeanGov measures the program from the very first procedure, in the State’s own cloud. The same methodology is ready for the next country.
Implementation
Two implementation phases and a license that adjusts to the program’s own license count. A dedicated team, present in the country from kick-off.
API as the rule, built together with each ministry. One month per process, without losing quality.
Privacy, security and infrastructure
The platform is deployed in a project inside the State’s own cloud organization, with infrastructure as code and least-privilege access. Privileged access is approved by the State and stays in its audit logs.
The State hands over the national ID or tax ID already converted into an irreversible code. We never see or store the real number; it only joins the conversation to the procedure without knowing whose it is.
We never show groups smaller than 10 cases or export individual information. Everything is read by process, segment and channel.
The agents are operated by the State with its provider. LeanGov reads, proposes treatments and measures their effect. Nothing changes without the State’s decision.
For governments and multilateral organizations
What is measured the same way can be compared across ministries, programs and countries. That is the evidence needed by those who decide, and those who fund, AI adoption in government.
Every ministry measured with the same yardstick, alerts when an agent fails, and clear rules for assigning licenses and AI budget.
AI cost per completed procedure, return per process and economic impact computed on what was measured. An annual report that reads the country against the region.
Indicators comparable across countries, measured by an independent third party. The basis for funding and scaling AI-agent programs where they prove a return for citizens.
Frequently asked questions
If your question isn’t here, write to us. We reply within one business day.
No. Citizen-facing agents are built and operated by the State with its provider. LeanGov measures them, proposes agents for proactive treatments and measures their effect. We don’t review the content of each answer either: the provider’s filters do that.
In the State’s own cloud: a project inside its cloud organization, deployed with infrastructure as code. LeanGov only accesses that project, with least-privilege permissions approved by the State. The data never leaves it.
No. The State hands over the identifier (national ID, tax ID or equivalent) already converted into an irreversible code. With it we join the conversation to the procedure without knowing whose it is. We never show groups smaller than 10 cases or export individual information.
We build it together, at no extra cost: we publish a common format, run workshops with their developers, hand over reference code and review the tests. The ministry installs it in its systems. If a system truly cannot have an API, it is connected another way and declared as a risk from the start.
About two weeks if the API already exists or the process is already clear; about four if the ministry builds the API with us. One month at most, survey and security included. A process enters the official dashboard only once it passes the quality gate: API tested, security approved, reconciliation of at least 98% and a signed definition of “completed”.
An executive sponsor, a business counterpart for the day to day, a technical counterpart who provides the cloud project and access, and an owner per process in each ministry. In the data: the channel flag (agent, web or counter), the protected identifier and access to the agents’ usage data.
Yes. The methodology, the API format, the quality gate and the cascading indicators are the same for any government AI-agents program; what adapts is the pace, the infrastructure and the order of each country’s processes. The first national deployment is already under way, and the same platform can measure several countries with comparable indicators.
LeanGov is Leanmote’s government line. It shares its methodology (context, diagnosis, treatment), its platform and its security controls, applied to government AI programs and their impact on citizens.
Tell us which agents you are launching and for which procedures. We come back with a measurement proposal within a week.